Tag: Engineering

Mona Deshmukh, Engineering, Education Innovation Award

Posted on by scizentox scizentoxLeave a Comment on Mona Deshmukh, Engineering, Education Innovation Award

Dr. Mona Deshmukh: Associate Professor at Vivekanand educational society’s institute of technology, India

Dr. Mona Girish Deshmukh is an Associate Professor at Vivekanand Education Society’s Institute of Technology, Mumbai, where she has been an educator for over 24 years. Her academic journey spans across a diverse array of topics, including User Experience Design, Software Engineering, Machine Learning, and Image Processing, with particular expertise in Human-Computer Interaction (HCI) and Data Analytics. Throughout her career, Dr. Deshmukh has been dedicated to advancing both teaching and research. She has played a key role in mentoring students, guiding M.E. and Ph.D. research, and contributing significantly to curriculum development. Her research interests include improving software development processes using lean concepts and developing innovative tools that bridge the gap between academia and industry.

Online Profiles

Google Scholar Profile

Dr. Deshmukh’s academic journey and research are highly recognized, with a growing body of work cited widely in the field. Since 2020, her research contributions have garnered 91 citations, reflecting her impact on the academic community. She has an h-index of 6, indicating that at least six of her publications have been cited at least six times, showcasing the relevance and quality of her research. Furthermore, her i10-index stands at 2, which highlights the number of her publications with at least 10 citations. These metrics underscore Dr. Deshmukh’s continued relevance and influence within her areas of expertise, especially in User Experience Design, Machine Learning, and Software Engineering.

Education

Dr. Deshmukh’s educational foundation is rooted in Computer Engineering, with a Ph.D. awarded by SPSU Udaipur in 2022, where her dissertation focused on the adoption of lean concepts in software organizations and the development of a Leanness Measurement Tool. She earned her M.E. in Computer Engineering from Mumbai University in 2008, with a focus on cutting-edge software technologies, and a B.E. from Sant Gadge Baba Amravati University in 2001. Additionally, she holds a Diploma in Computer Engineering from Dr. Punjabrao Deshmukh Polytechnic, Amravati. Her academic journey is a blend of technical expertise and a deep commitment to applying her learning to real-world challenges, especially in the domains of software engineering and design.

Research Focus

Dr. Deshmukh’s research focuses on a wide range of topics within Computer Engineering, with primary expertise in User Experience (UX) Design, Human-Computer Interaction (HCI), Software Engineering, and Image Processing. Her doctoral research on the adoption of lean concepts in software organizations led to the creation of a Leanness Measurement Tool, aimed at optimizing organizational practices and improving software development efficiency. She is also exploring how Machine Learning, Data Analytics, and Fuzzy Logic can be integrated into software systems to enhance functionality, user satisfaction, and security. Her interdisciplinary approach enables her to contribute significantly to both theoretical advancements and practical solutions within the field.

Experience

Dr. Deshmukh has an extensive teaching career, spanning over 24 years, with a deep commitment to both pedagogy and research. She has served as an Associate Professor at Vivekanand Education Society’s Institute of Technology, Mumbai, since 2019, after starting as an Assistant Professor in 2010. Prior to this, she was a Lecturer at Indira Gandhi College of Engineering, Navi Mumbai, where she honed her skills in teaching and mentoring students in Computer Engineering. She is a Mumbai University-recognized teacher for Ph.D. programs in Information Technology and Computer Engineering, guiding several students in their research. Dr. Deshmukh’s vast teaching experience is complemented by her active participation in curriculum development, institutional growth, and industry collaboration, which includes leading numerous academic projects and initiatives.

Research Timeline & Activities

Dr. Deshmukh’s research timeline reflects a steady and focused progression towards tackling real-world challenges in software engineering and design. From 2017–2022, she pursued her Ph.D. at SPSU, Udaipur, where she developed a Leanness Measurement Tool to measure the efficiency of software organizations. Her research has continued to evolve, focusing on emerging fields such as Machine Learning and Data Analytics, with practical applications in Cybersecurity and Education Technology. She has contributed to several consultancy projects, including designing educational mobile apps for schools and developing systems for retail and optical management. Dr. Deshmukh’s work is characterized by a strong emphasis on interdisciplinary collaboration, as seen in her involvement in academic collaborations, research paper reviews, and organizing workshops on topics like Agile Methodologies, Design Thinking, and HCI.

Awards & Honors

Dr. Deshmukh has received several prestigious awards and certifications throughout her career. She is certified as an Enterprise Design Thinking Practitioner and Co-Creator by IBM, reflecting her expertise in innovative design practices. She holds a Lean Six Sigma White Belt Certification from the Management and Strategy Institute (MSI), demonstrating her proficiency in improving organizational processes. In addition, she has completed specialized courses on Lean Software Development and UX Design from Coursera, and BOSS Linux Training from IIT Bombay. These awards and certifications highlight her commitment to continuous learning and staying at the forefront of technological advancements in software engineering, design thinking, and agile methodologies.

Top Noted Publication

Dr. Deshmukh’s research publications have been featured in several top-tier journals, contributing significantly to the academic discourse in her fields of expertise. Notable among her publications is her work titled “Enhancing Education: Tangible and Intangible Devices in Mobile Learning”, published in the journal Interactive Learning Environments (Taylor & Francis), which is indexed in SCI. Another significant publication is “Job Recommendation System”, featured in the International Journal of Basic and Applied Sciences (Scopus), which examines machine learning techniques applied to job recommendation algorithms. Additionally, her paper “Deep Learning Architectures for Automated Threat Detection and Mitigation in Cyber Security”, published in the Journal of Information Systems Engineering and Management, explores the potential of deep learning models in cybersecurity applications. These papers underscore Dr. Deshmukh’s significant contribution to education technology, cybersecurity, and machine learning.

  • “Manufacturing industry performance based on lean production principles”
    G Deshmukh, CR Patil, MG Deshmukh (2017)
    Cited by: 28
    Published at the International Conference on Nascent Technologies in Engineering (ICNTE), this work explores the application of lean production principles to enhance the performance of manufacturing industries.

  • “Dynamic hand gesture recognition for human-computer interaction: a comparative study”
    S Athavale, M Deshmukh (2014)
    Cited by: 28
    Published in the International Journal of Engineering Research and General Science, this paper compares various approaches for hand gesture recognition in Human-Computer Interaction (HCI).

  • “Literature review of lean methodology and research issues for identifying and eliminating waste in software development”
    M Deshmukh, P Srivastava (2021)
    Cited by: 9
    This literature review published in Intelligent Manufacturing and Energy Sustainability explores lean methodologies and their application to software development, specifically in identifying and eliminating waste.

  • “Comparison of intraoperative and postoperative complications of phacoemulsification and small incision cataract surgery in central India”
    N Wairagade, M Deshmukh, C Pande, C Patil (2020)
    Cited by: 7
    Published in the International Journal of Science & Healthcare Research, this paper compares phacoemulsification and small incision cataract surgery in terms of complications in central India.

  • “Lean-SE: framework combining lean thinking with the SDLC process”
    M Deshmukh, A Jain (2021)
    Cited by: 6
    This paper, published in Ubiquitous Intelligent Systems, proposes a framework for combining lean thinking with the Software Development Life Cycle (SDLC) process to enhance efficiency and reduce waste.

Strengths for the Education Innovation Award

  1. Commitment to Curriculum Development and Pedagogical Excellence
    Dr. Deshmukh has played a vital role in designing and updating the curriculum at Vivekanand Education Society’s Institute of Technology. Her focus on integrating emerging technologies like Machine Learning, Human-Computer Interaction (HCI), and User Experience (UX) Design into the curriculum has prepared students for the dynamic challenges of the tech industry. Her teaching methodology emphasizes hands-on learning, encouraging students to engage with cutting-edge tools and platforms.

  2. Interdisciplinary Research and Practical Innovation
    Dr. Deshmukh’s research lies at the intersection of Software Engineering, User Experience Design, and Lean Methodologies. Her work, including the Leanness Measurement Tool developed during her Ph.D., not only contributes to theoretical knowledge but also creates practical solutions for industry challenges. The integration of Machine Learning and Data Analytics into software systems exemplifies her ability to blend research with real-world applications, making her contributions both innovative and impactful.

  3. Mentorship and Student Guidance
    Over her 24 years of teaching, Dr. Deshmukh has mentored a large number of students in their Master of Engineering (M.E.) and Ph.D. research. Her students have contributed to diverse projects, including cutting-edge applications in software development and cybersecurity. Her guidance goes beyond academic mentorship, helping students build skills that bridge the gap between theoretical knowledge and industry practices.

  4. Active Participation in Academic Collaborations
    Dr. Deshmukh’s involvement in various academic collaborations, such as serving as a member of the College Development Committee (CDC) and contributing to cross-institutional projects, highlights her commitment to improving educational standards. She has actively engaged in workshops, seminars, and Faculty Development Programs (FDPs), which allow for the sharing of knowledge and innovation in the wider academic community.

  5. Contribution to Educational Tools and Technology
    Dr. Deshmukh has spearheaded several educational consultancy projects, such as the development of mobile applications for schools and the creation of Optical Management Systems for retail. These projects not only showcase her technical expertise but also her ability to leverage technology to enhance education. Her Lean-SE framework, which combines lean principles with the Software Development Life Cycle (SDLC) process, exemplifies how she incorporates efficient practices into technology development, aligning with the goals of education innovation.

Pramod Gawal, Engineering, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Pramod Gawal, Engineering, Best Researcher Award

Dr. Pramod Gawal: Researcher at IIT Guwahati, India

Dr. Pramod Gawal is an accomplished chemical engineer specializing in sustainable catalytic processes for environmental and energy applications. With a PhD from IIT Guwahati, he focuses on advancing photocatalysis, electrocatalysis, and photoelectrocatalysis for CO₂ reduction and water splitting. His expertise spans both experimental synthesis of nanomaterials and theoretical modeling through Density Functional Theory (DFT), enabling a comprehensive approach to tackling energy and pollution challenges. Beyond research, he is active in teaching and mentoring, committed to fostering scientific curiosity and innovation.

Online Profiles

Google Scholar Profile

Dr. Pramod Gawal has accumulated a total of 190 citations for his research contributions, with an h-index of 7 and an i10-index of 5, reflecting his impact in the field. His recent work has garnered 148 citations, with an h-index of 5 and an i10-index of 4, showcasing a strong and growing influence in photocatalysis and downstream processing research.

Education

Dr. Gawal earned his PhD in Chemical Engineering from the Indian Institute of Technology Guwahati in 2025, where his doctoral research involved designing bioinspired nanostructured materials for photocatalytic CO₂ conversion. Prior to this, he completed his Master of Chemical Engineering at the Institute of Chemical Technology, Mumbai, in 2017, focusing on advanced oxidation processes. His foundational training includes a Bachelor of Technology degree from Laxminarayan Institute of Technology, Nagpur, obtained in 2014, where he worked on simulation of multicomponent distillation systems.

Research Focus

His research interests lie primarily in photocatalysis and electrocatalysis, exploring novel nanocomposites and heterostructures for efficient solar-driven CO₂ reduction and hydrogen generation. He also investigates downstream processing techniques for bio-based chemicals, such as 2,3-butanediol, employing aqueous two-phase extraction and hybrid distillation methods. Additionally, he applies Density Functional Theory to understand catalyst behavior at the atomic level, enabling rational design of materials with enhanced activity and selectivity for environmental remediation and renewable energy applications.

Experience

Dr. Gawal has been a Prime Minister’s Research Fellow at IIT Guwahati since 2022, leading projects on bioinspired photocatalysts. His prior experience includes a Project Associate role at The Energy and Resources Institute (TERI), New Delhi, where he developed and optimized downstream purification methods for fermentation broths. Earlier, as a Project Assistant at the Institute of Chemical Technology, Mumbai, he synthesized catalysts for wastewater treatment, dye degradation, and energy applications, gaining hands-on experience in catalyst fabrication and performance evaluation.

Research Timeline & Activities

His PhD work from 2022 to 2025 involved developing ternary nanocomposites for photocatalytic CO₂ reduction to value-added chemicals. Concurrently, he contributed to projects on downstream purification of fermentation broth using aqueous two-phase systems and hybrid distillation techniques. Dr. Gawal has actively participated in national and international scientific events, presenting his findings at conferences such as the Green and Sustainable Chemistry Conference (Germany) and the International Conference on Advanced Nanomaterials & Nanotechnology. He has also undergone specialized training in Density Functional Theory modeling and fuel cell technologies to enhance his research capabilities.

Awards & Honors

Dr. Gawal’s research excellence has been recognized through prestigious awards, including the Prime Minister’s Research Fellowship and MHRD Teaching Fellowship. He has received multiple best oral and poster presentation awards at international conferences, reflecting his strong communication skills and impactful research contributions. His peer-review work for top-tier journals like Separation and Purification Technology and ACS Sustainable Chemistry & Engineering further attests to his expertise and standing in the scientific community.

Top Noted Publication

One of Dr. Gawal’s most influential publications is titled “Plant-Derived Phytochemicals for the Synthesis of p-n Junction CuO/CdS Heterostructures for Photocatalytic CO₂ Reduction to Ethanol and Carbon Monoxide” published in ACS Applied Energy Materials (2025). This study highlights green synthesis approaches and demonstrates high photocatalytic efficiency, contributing significant insights into sustainable material design for solar fuel production. The paper is accessible at https://doi.org/10.1021/acsaem.5c00497.

  • Solar light-assisted photocatalytic degradation of methylene blue with Mo/TiO2: A comparison with Cr- and Ni-doped TiO2
    SM Chaudhari, PM Gawal, PK Sane, SM Sontakke, PR Nemade
    Research on Chemical Intermediates, 44(5), 3115-3134, 2018
    Citations: 81

  • Vegetal route for synthesis of CQDs/CdS nanocomposites for photocatalytic reduction of CO2 to methanol under visible light
    PM Gawal, AK Golder
    Colloids and Surfaces A: Physicochemical and Engineering Aspects, 683, 133068, 2024
    Citations: 37

  • Advances and challenges in bio-based 2,3-BD downstream purification: A comprehensive review
    PM Gawal, S Subudhi
    Bioresource Technology Reports, 24, 101638, 2023
    Citations: 23

  • Plant-Based Phytochemicals for Synthesis of Z-Scheme In2O3/CdS Heterostructures: DFT Analysis and Photocatalytic CO2 Reduction to HCOOH and CO
    PM Gawal, AK Golder
    Langmuir, 40(20), 13538-13549, 2024
    Citations: 12

  • Hybrid extraction distillation for downstream purification of 2,3-butanediol, and ethanol from fermentation broth
    PM Gawal, D Mudgil, S Subudhi
    Bioresource Technology Reports, 24 (August), 101649, 2023
    Citations: 11

Strengths for Best Researcher Award

  1. Innovative Research in Sustainable Catalysis
    Dr. Gawal’s work pioneers green and sustainable catalytic processes, including photocatalytic CO₂ reduction and water splitting, addressing critical global challenges of climate change and clean energy production through advanced nanomaterials and bio-inspired approaches.

  2. Interdisciplinary Expertise with Experimental and Theoretical Synergy
    His unique combination of experimental synthesis of nanocomposites and theoretical Density Functional Theory (DFT) modeling enables comprehensive understanding and rational design of catalysts, significantly advancing material science and environmental chemistry.

  3. Consistent High Impact Scholarly Output
    With over 190 citations, an h-index of 7, and numerous publications in high-impact journals, Dr. Gawal has demonstrated a strong and growing influence in photocatalysis, bio-based chemical processing, and nanotechnology fields, with several papers receiving international recognition.

  4. Leadership and Mentorship in Research
    As a Prime Minister’s Research Fellow leading cutting-edge projects at IIT Guwahati and mentoring young researchers, Dr. Gawal exemplifies leadership, fostering innovation and scientific curiosity in the next generation of engineers and scientists.

  5. Active Engagement and Recognition in the Scientific Community
    Dr. Gawal’s participation in prestigious international conferences, receipt of multiple awards including the Prime Minister’s Research Fellowship, and peer-review contributions to top journals highlight his commitment to scientific excellence and knowledge dissemination.

Pradeep Mishra, Engineering, Best Innovator Award

Posted on by scizentox scizentoxLeave a Comment on Pradeep Mishra, Engineering, Best Innovator Award

Dr. Pradeep Mishra: Senior Assistant Professor at VIT Bhopal University, India

Dr. Pradeep Kumar Mishra is an accomplished researcher and academic leader with over 16 years of experience in the fields of Artificial Intelligence and Machine Learning. He currently holds the position of Program Chair and Head of the Department of AI & ML at VIT Bhopal University. His expertise spans a wide array of topics, including neural networks, deep learning, and environmental data modeling. He has contributed extensively to both theoretical research and practical applications, publishing numerous articles in high-impact journals and securing multiple patents. Known for his dedication to mentoring students and fostering innovation, Dr. Mishra actively collaborates with national and international research communities.

Online Profiles

Google Scholar Profile

Dr. Pradeep Kumar Mishra has a strong and growing research impact, with a total of 497 citations across his publications. His work has earned him an h-index of 8 and an i10-index of 7, reflecting the consistent quality and relevance of his research. Additionally, his collaborative and interdisciplinary papers have contributed 252 citations, with an h-index of 5 and an i10-index of 4 in those areas. These metrics highlight Dr. Mishra’s influence within the academic community and his role in advancing AI and environmental modeling research.

Education

Dr. Mishra earned his PhD in Computer Science and Engineering from Chhattisgarh Swami Vivekanand Technical University in 2021, where his dissertation focused on AI-based environmental modeling. Prior to this, he completed his Master of Engineering (M.E.) in Computer Technology and Applications in 2008 with a specialization in software engineering and data analytics. His Bachelor of Engineering (B.E.) in Computer Science and Engineering was completed in 2005, where he graduated with honors. Throughout his academic journey, Dr. Mishra consistently demonstrated strong analytical skills and a passion for interdisciplinary research combining computer science with real-world applications.

Research Focus

Dr. Mishra’s research centers on leveraging artificial intelligence and machine learning to solve complex problems in environmental modeling, computer vision, and IoT systems. He has extensively worked on rainfall-runoff modeling using soft computing techniques, aiming to improve water resource management and disaster prediction. His work in computer vision includes image processing and pattern recognition, applying deep learning frameworks to automate industrial and agricultural monitoring. Additionally, he explores secure cryptographic protocols and data privacy measures for IoT devices. His innovative research integrates theoretical models with practical tools to enhance efficiency and accuracy across multiple domains.

Experience

With over 16 years of experience, Dr. Mishra has held key academic positions including Assistant Professor, Associate Professor, and Department Head. He has taught undergraduate and postgraduate courses in AI, machine learning, data structures, and software engineering at various institutions. Beyond teaching, he has been instrumental in designing curriculum frameworks, coordinating academic programs, and leading departmental research initiatives. Dr. Mishra has also organized workshops and faculty development programs, fostering a collaborative learning environment. His leadership roles have enhanced departmental visibility and student engagement, preparing future engineers and researchers for evolving technological landscapes.

Research Timeline & Activities

Dr. Mishra began his research career focusing on neural networks and cryptographic security protocols in the early 2010s. By mid-decade, his interests expanded toward AI-driven environmental modeling, particularly rainfall-runoff analysis using machine learning algorithms. In recent years, he has emphasized deep learning applications in IoT-enabled automation and smart monitoring systems. Throughout his career, Dr. Mishra has authored more than 50 research papers in peer-reviewed journals and conferences, with several articles indexed in SCI and Scopus. He has also been an active reviewer and editorial board member for multiple international journals. His research projects are often interdisciplinary, involving collaborations with environmental scientists, engineers, and data analysts.

Awards & Honors

Dr. Mishra’s dedication to teaching and research excellence has been recognized through various awards. In 2019, he received the “Excellence Teacher” award under the prestigious SRIJAN initiative by the Government of Chhattisgarh, honoring his impactful contributions to education. Earlier in his career, he was awarded the best paper at TECHNOVISION 2007 for his innovative research in cryptography. He has also been invited as a keynote speaker and session chair at multiple international conferences, further acknowledging his expertise and leadership in AI and engineering fields.

Top Noted Publication

Among Dr. Mishra’s numerous publications, “Soft Computing Techniques for Rainfall-Runoff Modeling and Analysis in River Basin,” published in Water Resources Management (Springer, 2025), stands out as a seminal work. This paper presents novel hybrid AI models that significantly enhance the accuracy of hydrological predictions, addressing critical challenges in water resource management. The publication, with an impact factor of 3.9, has garnered considerable citations and is frequently referenced by researchers in environmental science and engineering. This work exemplifies Dr. Mishra’s commitment to applying advanced computational methods to real-world problems, bridging the gap between theory and practical implementation.

  • Agrawal, M., & Mishra, P. (2012). A comparative survey on symmetric key encryption techniques. International Journal on Computer Science and Engineering, 4(5), 877.
    Citations: 349

  • Mishra, P., & Agrawal, M. (2012). A modified approach for symmetric key cryptography based on Blowfish algorithm. International Journal of Engineering and Advanced Technology (IJEAT), 1(6).
    Citations: 48

  • Mishra, P. K., & Karmakar, S. (2019). Performance of optimum neural network in rainfall–runoff modeling over a river basin. International Journal of Environmental Science and Technology, 16, 1289–1302.
    Citations: 20

  • Soni, H., & Mishra, P. K. (2013). Congestion control using predictive approach in mobile ad hoc network. International Journal of Soft Computing and Engineering (IJSCE), ISSN 2231-2307.
    Citations: 11

  • Shukla, S., & Mishra, P. (2010). A hybrid model of multimodal biometrics system using fingerprint and face as traits. IJCSES, 1(2).
    Citations: 11

Strengths for the Best Innovator Award

  1. Pioneering AI-Driven Environmental Modeling
    Dr. Mishra has demonstrated exceptional innovation in applying artificial intelligence and machine learning to environmental problems, particularly in rainfall-runoff modeling and water resource management. His hybrid AI models significantly enhance prediction accuracy, showing a clear impact on sustainable environmental solutions.

  2. Interdisciplinary Research and Collaboration
    His ability to integrate computer science with environmental science, IoT, and cryptography reflects a strong interdisciplinary approach. This fosters innovation across diverse fields, enabling practical applications that address real-world challenges and contribute to academic and industrial advancements.

  3. Patented Technologies and Practical Implementations
    Dr. Mishra’s research goes beyond theory, including the development of patented methods and tools in cryptography, AI, and IoT security. This focus on translating research into practical, usable technologies highlights his innovative mindset and entrepreneurial spirit.

  4. Leadership in Academic Program Development and Mentorship
    Serving as Program Chair and Department Head, Dr. Mishra has driven innovation in curriculum design and research initiatives, nurturing the next generation of engineers and researchers. His commitment to mentoring students and fostering creativity is a cornerstone of his innovative contributions.

  5. Recognition and Influence in the Research Community
    With over 497 citations, a solid h-index, and awards such as the Excellence Teacher Award and best paper recognitions, Dr. Mishra is a well-respected innovator. His keynote speaking engagements and editorial roles amplify his impact and leadership in advancing cutting-edge AI and machine learning research.

Duggirala Mitra, Engineering, Best Innovator Award

Posted on by scizentox scizentoxLeave a Comment on Duggirala Mitra, Engineering, Best Innovator Award

Dr. Duggirala Mitra: Deputy Manager at JSW Steel ltd, India

Dr. Duggirala Mitra

  • Current Role/Designation: Deputy Manager

  • Organization: JSW Steel Ltd

  • Country: India

  • Subject Track: Engineering

  • Key Areas of Expertise: Mineral Process Engineering, Beneficiation of Lean Grade Ores

  • Award Categories: Best Innovator Award

Dr. Duggirala Vijaya Mitra is an accomplished mineral process engineer with a strong background in iron ore and coal beneficiation, tailings utilization, and sustainable mineral technologies. He holds a Ph.D. in Mineral Process Engineering from Andhra University College of Engineering and currently works as Deputy Manager in the Research and Development Department at JSW Steel Ltd. Over the years, Dr. Mitra has established himself as a dedicated researcher with a passion for industrial innovation, particularly in upgrading low-grade ores and repurposing tailings for commercial use. His work bridges the gap between academic research and practical application, with a proven record of delivering impactful projects, publishing scientific articles, and presenting at reputed conferences.

Online Profiles

Google Scholar Profile

Education

Dr. Mitra earned his Ph.D. in Mineral Process Engineering from Andhra University College of Engineering on 14th February 2023. His doctoral research was focused on optimizing beneficiation techniques for iron ore and coal, exploring the integration of advanced separation technologies such as gravity and magnetic separation following fine grinding. During his academic career, he developed a deep understanding of complex mineral systems, process engineering fundamentals, and analytical methods used in metallurgical research. This strong educational foundation equipped him to transition smoothly into industrial R&D, where he now applies these principles to large-scale mineral processing challenges.

Research Focus

Dr. Mitra’s primary research interests lie in the beneficiation and sustainable utilization of iron ore and coal tailings. He focuses on improving the grade, yield, and recovery of valuable minerals using methods such as grinding, gravity separation, flotation, and magnetic separation. A key area of his work involves developing eco-friendly processing techniques that minimize environmental impact while maximizing resource recovery. He is also actively engaged in repurposing mineral tailings for industrial applications such as cement additives, construction materials, and fillers, thereby aligning his research with circular economy principles. His work aims to make mineral processing more efficient, sustainable, and economically viable.

Experience

Currently working as Deputy Manager at JSW Steel Ltd, Dr. Mitra has over 3 years of experience in industrial research and development. His role involves leading mineral beneficiation projects, designing process flowsheets, conducting lab and pilot-scale trials, and generating techno-commercial solutions for raw material optimization. Prior to this, he held positions such as Senior Research Fellow, Junior Research Fellow, and Project Assistant, contributing to both academic and industrial research in mineral engineering. He has successfully handled multi-disciplinary projects that involve team coordination, experimental design, process modeling, and data interpretation. His career has been marked by a commitment to translating theoretical research into practical, scalable industrial outcomes.

Research Timeline & Activities

Between 2018 and 2025, Dr. Mitra has actively engaged in a wide range of research activities, starting from coal flotation and hydrotrope applications during his early academic years to advanced iron ore beneficiation during his doctoral and industrial tenure. His timeline includes the development of process routes for enhancing Fe recovery, use of starch-based depressants in reverse flotation, and optimization of grinding media for pellet feed preparation. He has participated in more than 10 national and international conferences, delivering presentations on sustainable processing and novel separation techniques. His recent research includes studies on thickener performance, flocculent efficiency, and reuse of tailings in value-added products, showing a clear progression toward sustainable mineral resource management.

Awards & Honors

Dr. Mitra’s career progression and research visibility demonstrate a high level of recognition in his field. His promotion to Deputy Manager in a top-tier organization like JSW Steel Ltd and repeated invitations to present at international conferences in the UK and India highlight his standing as a trusted expert in mineral processing. He has received appreciation from both academic mentors and industrial leaders for his contributions to process improvement, cost reduction, and sustainability. His research has also been featured in reputed journals and proceedings, further cementing his credibility in the mineral engineering domain.

Top Noted Publication

Among his notable contributions, the paper titled “Sustainable Iron Ore Tailings Management through Reprocessing”, published in the Transactions of the Indian Institute of Metals on July 19, 2025, stands out as a key achievement. This publication outlines a strategic approach to managing and reprocessing iron ore tailings using a combination of gravity and magnetic separation methods. The study demonstrated significant improvements in Fe recovery and grade enhancement, with practical implications for the pellet plant feed preparation. This work not only addressed technical challenges but also emphasized environmental responsibility, making it a reference point for both researchers and practitioners in mineral processing.

Enhanced Recovery by Hydrotropes in Oxidized Coal Flotation
Duggirala Vijaya Mitra, Ch Asha Immanuel Raju, T Gouri Charan
International Journal of Renewable Energy and its Commercialization, Volume 7, Issue 1, Pages 19–23, Published on 20th June 2021.

This study explores the role of hydrotropes, specifically sodium benzoate, as activators in the flotation of oxidized coal. Traditional flotation techniques often struggle with low-grade fines; however, this research demonstrates that the use of hydrotropes significantly enhances the recovery and quality of the concentrate. The recovery rate increased from 12.8% under standard plant conditions to 31% with the addition of sodium benzoate, while the ash content in the concentrate was reduced from 22.21% to 18.60%. Hydrotropes, which are amphiphilic molecules that improve solubility without forming micelles, were found to aid in the effective dispersion and attachment of particles during flotation. The results highlight the potential of hydrotropes to improve both yield and efficiency in coal beneficiation processes.

Anand G, Engineering, Best Innovator Award

Posted on by scizentox scizentoxLeave a Comment on Anand G, Engineering, Best Innovator Award

Dr. Anand G: Associate Professor & Head at Achariya College of Engineering Technology, India

Title/Designation: Dr.
Name: Anand G
Current Role/Designation: Associate Professor & Head
Organization/Institution: Achariya College of Engineering Technology
Country: India
Subject Track: Engineering
Key Areas of Expertise: Composite Materials, Advanced Welding Process
Award Categories: Best Innovator Award

Dr. G. Anand is an accomplished Associate Professor and Head of the Mechanical Engineering Department at Achariya College of Engineering Technology, Puducherry. With a Ph.D. in Mechanical Engineering and over a decade of combined teaching and research experience, he is recognized for his expertise in composite materials, advanced manufacturing techniques, and intelligent manufacturing systems. Dr. Anand actively contributes to academia by mentoring students, leading research projects, and managing training and placement activities. His dedication to fostering innovation and academic excellence has earned him a prominent position within the engineering education community.

Online Profiles

Google Scholar Profile

Dr. G. Anand has a total of 828 citations on Google Scholar and 802 citations on ResearchGate, reflecting the impact of his research work in the field of mechanical engineering. He holds an h-index of 16 and an i10-index of 20 on both platforms, indicating consistent contributions to high-quality publications and scholarly influence.

Education

Dr. Anand earned his Ph.D. in Mechanical Engineering from Pondicherry Engineering College in 2018, where his research focused on the synthesis, characterization, and testing of vinyl ester composites reinforced with glass fiber coated with Ni-P and Al₂O₃ nanowires. He also completed a Master’s degree in Product Design and Manufacturing with an outstanding CGPA of 8.98/10, and a Bachelor’s degree in Mechanical Engineering. Complementing his formal education, he completed an AICTE QIP certification program on IoT and Manufacturing at IIT BHU, enhancing his expertise in emerging manufacturing technologies and digital integration.

Research Focus

Dr. Anand’s research is primarily centered on developing advanced composite materials and innovative manufacturing processes aimed at improving performance and sustainability. His interests include drug-eluting orthopedic composite implants, electroless coating processes for corrosion resistance, additive manufacturing, friction stir processing, and machining of composites using both conventional and non-conventional methods. Additionally, he integrates artificial intelligence techniques like fuzzy logic and artificial neural networks to optimize manufacturing processes, contributing to intelligent manufacturing systems and Industry 4.0 initiatives.

Experience

Over the last 10 years, Dr. Anand has progressively advanced through academic roles, starting as a Guest Faculty and Research Assistant at Pondicherry Engineering College, moving on to Assistant Professor roles, and currently serving as Associate Professor and Head of Department at Achariya College of Engineering Technology. His teaching portfolio spans a broad spectrum of mechanical engineering subjects including manufacturing technology, machining processes, composite materials, and engineering metallurgy. Dr. Anand has also played key roles in curriculum design, research supervision, and organizing workshops to elevate the educational experience and research output of his institutions.

Research Timeline & Activities

Since completing his doctorate in 2018, Dr. Anand has been prolific in research output, publishing papers in reputed peer-reviewed international journals with notable impact factors. He has been instrumental in organizing multiple government-funded faculty development programs, workshops, and training sessions that focus on emerging trends such as AI in manufacturing, renewable energy integration, and advanced medical manufacturing techniques. His ongoing commitment to professional development is evidenced by his pursuit of certification programs and active involvement in interdisciplinary collaborative research projects.

Awards & Honors

Dr. Anand’s work has been recognized and financially supported by several prestigious government agencies including AICTE and MSME Technology Center. His leadership in organizing faculty development programs and workshops on cutting-edge research themes demonstrates his commitment to enhancing academic quality and research integrity. These recognitions highlight his reputation as an educator and researcher dedicated to advancing engineering education and fostering innovation in manufacturing.

Top Noted Publication

Among his numerous impactful publications, the paper titled “Mechanical strength and swelling resistance enhancement in Ethylene-Propylene-Diene Monomer/Styrene-Butadiene rubber nanocomposites using 1-Octadecanol-Modified carbon nanotubes,” published in the Journal of Polymer Research (Springer, 2025; Impact Factor 2.9), stands out. This work addresses critical improvements in nanocomposite materials, offering insights into enhanced mechanical performance and durability, which have broad implications for industrial applications in automotive, aerospace, and biomedical sectors.

  • Investigation of drilling parameters on hybrid polymer composites using grey relational analysis, regression, fuzzy logic, and ANN models
    G Anand, N Alagumurthi, R Elansezhian, K Palanikumar
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2018
    This highly cited work (101 citations) explores the optimization of drilling parameters in hybrid polymer composites using advanced statistical and AI models, improving manufacturing efficiency and composite integrity.

  • Effect of nanoclay/nanosilica on the mechanical properties, abrasion and swelling resistance of EPDM/SBR composites
    S Vishvanathperumal, G Anand
    Silicon, 2020
    Cited 89 times, this study investigates how nanoclay and nanosilica fillers enhance the mechanical durability and resistance properties of rubber composites, relevant for automotive and industrial applications.

  • Effect of nanosilica on the mechanical properties, compression set, morphology, abrasion and swelling resistance of sulphur cured EPDM/SBR composites
    S Vishvanathperumal, G Anand
    Silicon, 2022
    This publication (76 citations) expands on the role of nanosilica in improving the structural and functional behavior of rubber blends, a key contribution in polymer nanocomposite research.

  • Effect of Nanosilica and Crosslinking System on the Mechanical Properties and Swelling Resistance of EPDM/SBR Nanocomposites with and without TESPT
    S Vishvanathperumal, G Anand
    Silicon, 2021
    With 73 citations, this paper studies the interaction of nanosilica and crosslinking agents on nanocomposite performance, providing insights into composite formulation techniques.

  • Properties of SBR/NR Blend: The Effects of Carbon Black/Silica (CB/SiO2) Hybrid Filler and Silane Coupling Agent
    G Anand, S Vishvanathperumal
    Silicon, 2022
    Cited 71 times, this research focuses on hybrid fillers in rubber blends and their effect on mechanical and swelling characteristics, aiding the design of durable elastomer materials.

Rumman Mowla Chowdhury, Engineering, Best Innovator Award

Posted on by scizentox scizentoxLeave a Comment on Rumman Mowla Chowdhury, Engineering, Best Innovator Award

Dr. Rumman Mowla Chowdhury: Graduate Student at Rowan University, United States

  • Title/Designation: Dr.

  • Name: Rumman Mowla Chowdhury

  • Current Role/Designation: Graduate Student

  • Organization/Institution: Rowan University

  • Country: United States

  • Subject Track: Engineering

  • Award Categories: Best Innovator Award

Rumman Mowla Chowdhury is a highly experienced environmental engineer, specializing in hydrological modeling, flood risk assessment, and climate adaptation strategies. With over a decade of expertise in GIS, remote sensing, and environmental consultancy, he has contributed to a variety of high-impact projects in both academic and real-world settings. Currently a PhD Fellow in Civil & Environmental Engineering at Rowan University, Rumman leads cutting-edge research on flood vulnerability assessments, integrating machine learning and traditional hydrodynamic models. His academic pursuits are driven by a passion for addressing the challenges posed by climate change, particularly in vulnerable coastal regions and landfill facilities. Rumman’s work not only enhances environmental resilience but also contributes to policy decision-making through high-level technical analyses and stakeholder engagement.

Online Profiles

  • Total Citations: 260

  • Citations Since 2020: 178

  • h-index: 5

  • i10-index: 4

Education

  • Ph.D. in Civil & Environmental Engineering, Rowan University, NJ (Anticipated 2025)
    Currently pursuing a doctoral degree in Civil & Environmental Engineering, Rumman’s research is focused on integrating machine learning with hydrological modeling for flood risk assessment and climate adaptation in the northeastern United States. His doctoral work combines geospatial tools with flood modeling to enhance predictions and mitigation strategies.

  • M.Sc. in Water Resources Engineering and Management, University of Stuttgart, Germany (2014)
    Rumman’s master’s program emphasized the development of sustainable water management strategies, focusing on climate change impacts on water systems, hydrological modeling, and environmental protection. His thesis involved the integration of remote sensing and GIS for water resources management in arid and semi-arid regions.

  • B.Sc. in Civil Engineering, Bangladesh University of Engineering & Technology (BUET), Bangladesh (2011)
    During his undergraduate studies at BUET, Rumman acquired a solid foundation in civil engineering, with a focus on hydrology, water resources engineering, and environmental impact assessment. His early research laid the groundwork for his subsequent specialization in flood risk modeling and water quality management.

Research Focus

Rumman’s research bridges the fields of environmental engineering, GIS, and climate science, with a focus on applying advanced modeling techniques to assess and mitigate flood risks, water quality degradation, and climate-driven hazards. His work uses cutting-edge technologies like machine learning and remote sensing to model hydrodynamic systems and predict the impacts of extreme weather events on critical infrastructure, particularly in coastal and landfill regions. Rumman is particularly interested in how climate change influences groundwater salinity, sea-level rise, and floodplain dynamics. His approach combines both theoretical models and practical applications, contributing to climate adaptation strategies and sustainable environmental planning. By engaging with interdisciplinary teams, he ensures that his research informs both policy decisions and real-world engineering solutions.

Experience

Rumman has a diverse professional background that combines academic research, environmental consultancy, and hands-on teaching. As a PhD Fellow at Rowan University, he leads research on the vulnerability of landfill facilities to flooding, specifically using advanced hydrologic-hydraulic models to assess the impacts of climate-driven hazards on infrastructure. His previous role as a Climate Change Specialist for the UK Met Office in Bangladesh saw him guiding national climate resilience efforts by developing high-resolution vulnerability maps for coastal regions affected by sea-level rise and salinity intrusion. Additionally, he has served as an Assistant Professor at the University of Asia Pacific, where he mentored more than 20 students on GIS-based environmental modeling projects and taught various courses related to urban hydrology, environmental engineering, and remote sensing. This teaching experience was coupled with his work on environmental assessments, including a notable water quality study for a large power plant project. His career trajectory showcases his versatility in both academic and applied environmental science.

Research Timeline & Activities

  • 2023–Present: Rumman leads the USDA-funded research project on flood vulnerability assessment for landfill sites in New Jersey. This involves applying HEC-HMS/HEC-RAS models for hydrologic and hydraulic simulations and integrating them with machine learning techniques to assess the potential impacts of future climate scenarios on flood depth and infrastructure resilience.

  • 2021–2022: As a Climate Change Specialist with the Institute of Water Modelling, Rumman focused on GIS-based salinity and sea-level rise risk mapping for vulnerable coastal regions in Bangladesh. His work supported national adaptation policies, helping inform strategies for coastal zone management and disaster resilience.

  • 2020–2021: Rumman contributed to a water quality index study for the Faridpur-Barisal Corridor, a project under the Asian Development Bank, analyzing 34 water quality stations and providing insights into water management practices for urban and rural communities in Bangladesh.

  • 2012–2013: During his tenure as a research assistant for the Bangladesh Water Development Board (BWDB), Rumman worked on a hydro-morphological study of the Old Madhumati River. This involved using MIKE11 modeling to develop strategies for river rehabilitation, mapping erosion-prone zones, and advising on floodplain management.

Awards & Honors

Rumman’s contributions to the field of environmental engineering and climate adaptation have been recognized through numerous awards. Notably, he received the Outstanding Clinic Mentor Award from Rowan University in 2025 for his guidance of graduate students on applied environmental research projects. He also earned the NJWEA Presentation Grant in 2024, which supported his presentation on flood modeling at the NJ Water Environment Association conference. His ongoing research on flood risk and climate adaptation has been further recognized by the USDA, which named him a Research Fellow for their funded flood vulnerability study.

Top Noted Publication

  • Chowdhury, R.M., Ahn, J., Torlapati, J., Jahan, K. (2025). Enhancing Management of Flood Forecasting in Southern New Jersey: A HEC-HMS Model Development for Maurice River and Raccoon Creek Watersheds. Applied Water Science, 15(9), 1-24.

    • This paper presents an advanced flood forecasting model developed using HEC-HMS for flood prediction in Southern New Jersey’s Maurice River and Raccoon Creek Watersheds. The study aims to improve flood risk management strategies in the region, leveraging new modeling techniques.

  • Chowdhury, R., Jahan, K. (2024). Climate Change Impact on Municipal Landfills: An Integrated HEC-HMS and HEC-RAS Approach in Data-Scarce Cumberland and Gloucester Counties, New Jersey. AGU Fall Meeting Abstracts, 2024 (849), H43A-0849.

    • This abstract focuses on integrating HEC-HMS and HEC-RAS models to assess flood risks associated with climate change in municipal landfills, specifically in Cumberland and Gloucester counties. It addresses challenges of working in data-scarce regions and provides vital insights for local climate adaptation strategies.

  • Chowdhury, R.M., Mahmud, C.A., Alminara, M. (2024). Farmer’s Awareness on Climate Change and Needs for Adaptation: Case Study in Dinajpur and Feni Districts, Bangladesh.

    • This study explores the awareness and adaptation strategies of farmers in Bangladesh’s Dinajpur and Feni districts, focusing on climate change impacts and the community’s preparedness for agricultural shifts. The findings contribute to understanding local climate resilience efforts in rural areas.

  • Chowdhury, R.M. (2023). Existing Water Quality Scenario of Mirpur Water Supply and Distribution Network, North Dhaka City Corporation, Bangladesh. In Proceedings of the Waste Safe 2023 – 8th International Conference on Waste Management

    • This paper evaluates the current water quality conditions in the Mirpur water supply and distribution network, identifying key challenges in urban water management in Dhaka. The study informs policy makers on necessary improvements for water treatment and distribution.

  • Chowdhury, M.R.A., Mahmud, A. (2023). Farmer’s Awareness on Climate Change and Needs for Adaptation: Case Study in Dinajpur and Feni District, Bangladesh. 6th International Conference on Advances in Civil Engineering, 1035-1042.

    • This publication expands on the 2024 study, focusing on farmer awareness of climate change and adaptation needs. It provides additional analysis of regional agricultural practices and their sensitivity to shifting climatic conditions.

Sanjeev Kumar, Engineering, Best Innovator Award

Posted on by scizentox scizentoxLeave a Comment on Sanjeev Kumar, Engineering, Best Innovator Award

Asst. Prof. Sanjeev Kumar: Assistant Professor at IKGPTU KAPURTHALA, India

Sanjeev Kumar is an accomplished mechanical engineer and academic with a deep interest in both industrial applications and academic research. With over two decades of professional experience in the field, he has developed expertise in areas such as vendor development, procurement, quality control, and teaching. His current academic pursuit includes a PhD in Mechanical Engineering at Punjab Technical University, where his research is focused on Scratch Testing. Over the years, he has built a strong foundation in both practical industrial processes and cutting-edge engineering theories, which he applies to both teaching and research. Sanjeev is dedicated to bridging the gap between industry and academia, striving to enhance the skills of future engineers while advancing innovative technologies in mechanical engineering.

Online Profiles

Google Scholar Profile

Sanjeev Kumar actively maintains several online profiles, particularly on professional platforms like LinkedIn, where he shares his career milestones, research developments, and academic achievements. His profiles reflect his academic background, including his research in mechanical engineering, and highlight his expertise in areas such as vendor development, procurement, and materials testing. He also engages with a wide network of industry professionals and academics through these platforms, offering insights into his work and future research endeavors. These profiles serve as a valuable tool for collaboration, discussion, and networking with peers and colleagues in the field of mechanical engineering.

Education

Sanjeev Kumar is currently pursuing a PhD in Mechanical Engineering at Punjab Technical University (Jalandhar), focusing his research on Scratch Testing, an advanced material testing technique. Prior to this, he earned his Master of Engineering (M.E.) degree in Production & Industrial Engineering from Thapar University, Patiala, where he studied Stir Casting, an innovative method of casting for aluminum alloys. He holds a Bachelor’s degree in Mechanical Engineering from Saheed Bhagat Singh State University (Ferozepur). His academic career has been complemented by industrial training at notable companies such as Escorts Goetze India Ltd. and Purolator India Ltd., where he gained hands-on experience in mechanical engineering applications and industrial processes. His education has laid a strong foundation for his ongoing contributions to both the academic and industrial sectors.

Research Focus

Sanjeev’s research interests are rooted in improving material properties and manufacturing processes, particularly through Scratch Testing and Stir Casting. Scratch testing involves evaluating the resistance of materials to localized mechanical damage, and this research has applications in industries like automotive, aerospace, and manufacturing. Additionally, his work on Stir Casting focuses on enhancing the properties of composite materials by improving their casting processes. His broader research interests also include non-traditional machining methods, material research, and manufacturing innovations. These topics are critical in advancing the efficiency and effectiveness of mechanical manufacturing processes, and Sanjeev’s work contributes to bridging theoretical concepts with practical applications.

Experience

Sanjeev Kumar has an extensive and diverse professional background, which spans both the corporate world and academia. He began his career as a Graduate Engineer Trainee at Rollform Equipments Pvt. Ltd. (Ghaziabad), where he was involved in purchasing, vendor development, and quality control for equipment used in pipe and tube production. His next significant role was as an Executive – Purchase at Honda Siel Cars India Ltd. (Greater Noida), where he worked on procurement and vendor management for automotive parts. Following his industry experience, Sanjeev transitioned to academia, where he held teaching roles at various educational institutions. He served as a Lecturer in the Mechanical Engineering Department at Guru Teg Bahadur Khalsa Polytechnic College and later as an Assistant Professor at Bhai Gurdas Institute of Engineering and Technology (Sangrur). He also served as the Principal at Adarsh Polytechnic College (Patiala). Currently, he works as an Executive at JobJabs.com, where he focuses on professional development, recruitment, and career counseling for aspiring engineers.

Research Timeline & Activities

Sanjeev’s research journey has been marked by active involvement in both theoretical and practical aspects of mechanical engineering. His PhD research, currently focused on Scratch Testing, is aimed at improving material characterization for industrial applications. In addition to his ongoing doctoral research, Sanjeev has contributed to several academic conferences and seminars, including the National Conference on Innovative Development in Engineering Applications (2011, 2012), where he presented papers on non-traditional machining methods. His participation in workshops like Six Sigma Deployment at Rayat-Bahra College (2008) and Emerging Trends in Mechanical Engineering (2011) demonstrates his commitment to staying at the forefront of engineering advancements. He has also been actively involved in curriculum development and the adoption of new teaching methodologies in mechanical engineering.

Awards & Honors

Throughout his career, Sanjeev has been recognized for his contributions to the field of mechanical engineering. He is a Life Member of the Indian Society for Technical Education (ISTE), a professional body that honors contributions to technical education and research. His academic leadership in organizing and hosting national conferences and workshops has earned him accolades from various educational and professional organizations. His commitment to promoting the use of Information and Communication Technology (ICT) in engineering education and his innovative teaching methods have been widely appreciated. Furthermore, his work on non-traditional machining techniques and material science has led to recognition at national engineering forums and conferences.

Top Noted Publications

Sanjeev Kumar has made significant contributions to the body of knowledge in mechanical engineering through his research and publications. His most notable works include research on Scratch Testing and Stir Casting, both of which have important implications for industries such as automotive and aerospace. He has presented his findings at various national and international conferences, and his papers have been well-received in the field of material science and mechanical testing. His research publications, particularly in non-traditional machining and innovative engineering applications, are often cited by fellow researchers and industry professionals seeking to advance manufacturing processes and material design.

“Scratch Testing Assessment of Detonation Gun-Sprayed CA6NM Stainless Steel” by S. Kumar, S. Bhandari, and M. Kaur, published in Transactions of the Indian Institute of Metals in 2025. Since I don’t have access to external sources like journals or subscription-based articles, I can’t retrieve the content of the paper directly. However, based on your reference, I can offer a few avenues for you to obtain or learn more about the paper:

1. Accessing the Paper

  • Institutional Access: If you’re affiliated with a university or institution, you might be able to access the journal through your library’s electronic resources.

  • ResearchGate: Many researchers upload their papers to ResearchGate or similar platforms where you can request a full-text version directly from the authors.

  • Publisher’s Website: You can visit the publisher’s website (likely Springer or Taylor & Francis, depending on the journal) and search for the paper by its title or authors. If it’s behind a paywall, you may be able to access an abstract or purchase a copy.

  • Google Scholar: Often, Google Scholar links to full-text versions if they are available in open access repositories.

2. Key Areas Likely Covered in the Paper

The title suggests that this paper deals with scratch testing as an assessment method for coatings applied via detonation gun spraying on CA6NM stainless steel. Here’s an overview of what the paper could cover based on the subject matter:

  • Scratch Testing Methodology: This would detail the test procedures, parameters (e.g., load, speed), and the type of equipment used to evaluate the surface properties of the coated steel.

  • Results & Analysis: The paper would likely present data comparing the performance of detonation gun-sprayed CA6NM steel in terms of scratch resistance, hardness, and adhesion strength.

  • Coating Characteristics: Since DGS is a thermal spraying process, the authors would explore how the coating affects the substrate material’s mechanical properties, particularly focusing on wear and durability.

  • Comparative Analysis: It might compare DGS coatings with other spray methods, highlighting advantages or limitations for specific industrial applications.

  • Applications: Given the high-performance characteristics of CA6NM stainless steel, the paper may discuss how the findings are relevant to industries such as aerospace, energy, or heavy machinery, where wear and corrosion resistance are crucial.

Niranjana Govindan, Engineering, Best Innovator Award

Posted on by scizentox scizentoxLeave a Comment on Niranjana Govindan, Engineering, Best Innovator Award

Prof. Dr. Niranjana Govindan: Professor at SRM Institute of Science and Technology, India

Title / Designation: Prof. Dr
Name: Niranjana Govindan
Current Role / Designation: Professor
Organization / Institution Details: SRM INSTITUTE OF SCIENCE AND TECHNOLOGY
Country: India
Subject Track: Engineering
Award Categories: Best Innovator Award

Dr. G. Niranjana is a seasoned academician and researcher currently serving as Professor in the Department of Computer Science and Engineering at SRM Institute of Science and Technology (SRMIST), Tamil Nadu, India. With over 20 years of teaching and research experience, she has made significant contributions in areas like Machine Learning, Deep Learning, Artificial Intelligence, Image Processing, IoT, and Networking. Her expertise extends into real-world applications, such as medical imaging, smart healthcare systems, and secure communications. Known for her leadership in collaborative research and mentoring young scholars, she has played a key role in driving interdisciplinary projects and innovations.

Online Profiles

Google Scholar Profile

Dr. Niranjana has a strong digital research presence, with active profiles on academic databases such as Scopus and Google Scholar. According to Google Scholar, she has 272 citations overall, with 235 citations since 2020, demonstrating growing relevance in recent years. Her h-index is 9, and her i10-index is 9 overall (8 since 2020), indicating a consistent level of quality and influence across her publications. These metrics reflect her contribution to research areas including AI, image processing, and healthcare technology, and her work continues to be cited and referenced in numerous scholarly studies globally.

Education

Dr. Niranjana earned her Ph.D. in Image Processing from SRM University in 2017, where her doctoral research focused on advanced medical image analysis using computational techniques. Her academic journey began with foundational degrees in computer science, which laid the groundwork for a career deeply rooted in both theoretical learning and applied research. Her progression from postgraduate studies to doctoral research exemplifies a strong commitment to continuous learning and academic advancement.

Research Focus

Her research is primarily centered on intelligent systems using Deep Learning and Machine Learning models for practical applications, particularly in healthcare, visual computing, and sensor networks. She has worked extensively on projects involving medical image classification, smart IoT-enabled devices, affective computing in transportation, and secure data routing in wireless sensor networks. Her interdisciplinary approach bridges computer science with biomedical and social systems, aiming to address complex real-world problems through innovative algorithms and system designs.

Experience

Dr. Niranjana began her teaching career at Adhiparasakthi Engineering College in 2001 before joining SRMIST in 2006. Over the years, she has served as Lecturer, Senior Lecturer, Assistant Professor, Associate Professor, and was promoted to Professor in 2021. Throughout her tenure, she has been actively involved in curriculum development, research mentoring, project guidance, and international collaborations. Her ability to combine academic leadership with hands-on research management has made her a pivotal contributor to SRMIST’s academic and research ecosystem.

Research Timeline & Activities

Since 2012, Dr. Niranjana has supervised more than 15 M.Tech students and is currently guiding 5 Ph.D. scholars in areas such as medical image analysis, AI-driven automation, and sensor networks. She has authored 26 journal papers and 47 conference publications, in addition to filing two patents. Her research activities are supported by significant project funding, including a ₹18.57 lakh grant under the ASEAN-India Collaborative R&D scheme for COVID-19 image analysis using deep learning, and ₹1.75 lakh from SRMIST for telemedical diagnostics. She has also played a key role in international academic collaborations, including an MoU with Taylor’s University, Malaysia for research in digital agriculture.

Awards & Honors

In recognition of her academic excellence and leadership, Dr. Niranjana was awarded the IET Woman Engineer Award in 2018, a prestigious honor celebrating female engineers contributing significantly to research and innovation. Earlier in her career, she received the Young Investigator Award in 2012, affirming her potential as a future leader in research. She is a life member of ISTE and ISCA and actively participates in professional bodies such as IET and CSI, which provide her with platforms to contribute to the broader scientific community through conferences, workshops, and review committees.

Top Noted Publication

Among her numerous publications, one of the most impactful is the 2023 journal article titled “Intelligent and assisted medicine dispensing machine for elderly visual impaired people with deep neural network fingerprint authentication system” published in the Internet of Things (Netherlands). This research introduces an AI-driven solution for visually impaired elderly individuals to access medicine through secure fingerprint-based identification, thereby improving healthcare accessibility and automation. The paper has been well received for its innovative application of deep learning in the healthcare domain and reflects Dr. Niranjana’s commitment to socially impactful research.

  • “A review on image processing methods in detecting lung cancer using CT images”
    G. Niranjana, M. Ponnavaikko
    2017 International Conference on Technical Advancements in Computers and Communication
    Citations: 37

  • “Feasibility and necessity of affective computing in emotion sensing of drivers for improved road safety”
    R. Nareshkumar, G. Suseela, K. Nimala, G. Niranjana
    Principles and Applications of Socio-Cognitive and Affective Computing, 2023
    Citations: 36

  • “Domain-flexible selective image encryption based on genetic operations and chaotic maps”
    P. Murali, G. Niranjana, A.J. Paul, J.S. Muthu
    The Visual Computer, Springer, 2023
    Citations: 32

  • “Image segmentation and classification of MRI brain tumor based on cellular automata and neural networks”
    R.S. RajKumar, G. Niranjana
    IJREAT – International Journal of Research in Engineering & Advanced Technology, 2013
    Citations: 24

  • “Efficient study of smart garbage collection for ecofriendly environment”
    R. Naresh, M. Meenakshi, G. Niranjana
    Journal of Green Engineering, 2020
    Citations: 22

Archisman Dasgupta, Engineering, Best Innovator Award

Posted on by scizentox scizentoxLeave a Comment on Archisman Dasgupta, Engineering, Best Innovator Award

Dr. Archisman Dasgupta: Senior Research Fellow at National Institute of Technology Agartala, India

Title / Designation: Dr
Name: Archisman Dasgupta
Current Role / Designation: Senior Research Fellow
Organization / Institution Details: National Institute of Technology Agartala
Country: India
Subject Track: Engineering
Award Categories: Best Innovator Award

Archisman Dasgupta is an emerging leader in the field of sustainable engineering and additive manufacturing. With a Ph.D. currently underway at the National Institute of Technology (NIT) Agartala, his research aims to revolutionize the 3D printing industry by developing biodegradable filaments derived from waste plastic and used tyre rubber. Drawing from his strong academic foundation in Mechanical and Production Engineering, Archisman’s work merges sustainability with innovation, with a vision of reducing plastic waste through the development of eco-friendly materials for industrial applications. His research not only contributes to the circular economy but also offers practical solutions to the global problem of plastic waste management.

Online Profiles

Archisman maintains an active professional presence on both LinkedIn and ResearchGate, which serve as platforms to share his work, collaborate with other researchers, and engage with the academic and industrial communities. His LinkedIn profile is a reflection of his extensive experience in mechanical engineering, research, and teaching, while his ResearchGate profile provides access to his growing body of work in sustainable materials science.

Education

Archisman’s educational journey has been marked by a consistent pursuit of excellence in engineering. He earned his Bachelor of Technology (B.Tech) in Mechanical and Automation Engineering from Guru Gobind Singh Indraprastha University (GGSIPU) in New Delhi, followed by a Master of Technology (M.Tech) in Production Engineering from NIT Agartala, where he specialized in Computer Integrated Manufacturing. His M.Tech research on optimizing machining costs for Inconel 800 using wire-cut EDM laid the groundwork for his deep interest in materials science and manufacturing optimization. Currently, as a Ph.D. candidate at NIT Agartala, his research is focused on the development of sustainable 3D printing filaments, demonstrating his commitment to addressing environmental challenges through engineering innovation.

Research Focus

Archisman’s research is centered around the development and optimization of biodegradable 3D printing materials, specifically those derived from waste plastic reinforced with used tyre rubber. His primary goal is to create filaments that are not only environmentally friendly but also possess the necessary mechanical properties for industrial-scale 3D printing. By exploring the interaction between waste materials and their potential for biodegradation, he aims to provide viable alternatives to petroleum-based polymers, which are widely used in the 3D printing industry. His work aligns with the growing global demand for sustainable manufacturing practices and contributes to the circular economy by utilizing waste materials in a productive and eco-friendly way.

Experience

Archisman’s professional journey as an educator has allowed him to make substantial contributions to the academic community. He worked as a Lecturer in the Mechanical Engineering Department at TTAADC Polytechnic Institute, where he taught courses in manufacturing processes, materials engineering, and workshop technology. During his tenure, Archisman also engaged in curriculum development, fostering an environment of continuous learning. In addition, he worked as a Faculty at the educational society of the Government of Tripura, where he contributed to the training of faculty and students on various engineering and technical topics. These roles allowed him to share his technical expertise and research insights, while also staying abreast of new developments in the fields of additive manufacturing and sustainable materials.

Research Timeline & Activities

Archisman’s research career has evolved steadily, beginning with his M.Tech thesis on optimizing machining costs for Inconel 800. This project laid the foundation for his passion for materials science and process optimization. His current Ph.D. research, started in February 2021, is focused on developing biodegradable 3D printing filaments from waste plastic and used tyre rubber. In addition to his academic research, Archisman has been actively involved in publishing research papers in high-impact, peer-reviewed journals and presenting his findings at international conferences. His research activities are characterized by a strong interdisciplinary approach, combining material science, waste management, and manufacturing technology to address environmental sustainability challenges.

Awards & Honors

Throughout his academic and professional career, Archisman has received multiple recognitions for his outstanding contributions to research and education. Notably, he has been a life-time associate member of the Institution of Engineers (IEI) India since 2017, demonstrating his commitment to the advancement of engineering knowledge and practices. In 2025, he was appointed as an academic board member for Global Open Share Publishing (GOSP Science), further solidifying his position as an emerging leader in sustainable engineering. These accolades reflect his dedication to fostering innovation in the field of sustainable manufacturing and reinforcing the importance of interdisciplinary collaboration for addressing global challenges.

Top Noted Publication

One of Archisman’s top publications is titled “Ground tyre rubber as an enhancer for waste plastic biodegradation: microscopic, kinetic, and thermodynamic insights,” published in the Journal of Rubber Research. This paper is significant because it explores the innovative use of ground tyre rubber to enhance the biodegradation process of waste plastics, a critical area in the fight against plastic pollution. The publication has been widely recognized for its novel approach to using waste materials in a sustainable manner and is frequently cited in studies focused on waste management, recycling, and biodegradable materials. Archisman’s contributions to this research represent a key advancement in sustainable polymer composites and additive manufacturing, aligning with his overarching goal to develop environmentally responsible materials for future industrial applications.

  • Entropy-TOPSIS-based material selection for sustainable polymer composite: An MCDM framework promoting circular economy
    Journal of Elastomers & Plastics (2025-08)
    DOI: 10.1177/00952443251331171
    Contributors: Archisman Dasgupta, Binayak Sen, Prasenjit Dutta, Nikunj Rachchh, Nagaraj Patil, Abinash Mahapatro, A. Karthikeyan
    This paper presents a novel entropy-based TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method for the selection of sustainable polymer composites, focusing on promoting a circular economy by integrating multi-criteria decision-making (MCDM) techniques. The framework aids in optimizing material selection for eco-friendly manufacturing.

  • Ground tyre rubber as an enhancer for waste plastic biodegradation: microscopic, kinetic and thermodynamic insights
    Journal of Rubber Research (2025-05)
    DOI: 10.1007/s42464-025-00304-7
    Contributors: Archisman Dasgupta, Prasenjit Dutta, Biswanath Bhunia
    This article investigates the role of ground tyre rubber as an enhancer for the biodegradation of waste plastic. The study provides microscopic, kinetic, and thermodynamic insights into how incorporating ground tyre rubber can accelerate plastic degradation, offering an innovative approach to tackling plastic waste.

  • Development of a sustainable polymer composite: enhancing properties of waste plastic with ground tire rubber reinforcement
    Physica Scripta (2024-09-01)
    DOI: 10.1088/1402-4896/ad6bf8
    Contributors: Archisman Dasgupta, Binayak Sen, Prasenjit Dutta
    This research focuses on the development of a sustainable polymer composite by reinforcing waste plastic with ground tire rubber. The study explores the enhanced physical, mechanical, and thermal properties of the composite, paving the way for its potential use in various industrial applications, including in the automotive and construction sectors.

  • Reinforcing effects of ground tyre rubber on physical, mechanical, and thermal properties of polyethylene terephthalate
    Journal of Elastomers & Plastics (2024-08)
    DOI: 10.1177/00952443241254934
    Contributors: Archisman Dasgupta, Prasenjit Dutta
    This paper delves into how ground tyre rubber reinforcement can improve the physical, mechanical, and thermal properties of polyethylene terephthalate (PET), a widely used plastic. The findings highlight the potential of ground tyre rubber to enhance the performance of PET in various industrial applications, especially in packaging and textiles.

  • Printability of elastomer as a 3D printing material for additive manufacturing
    Journal of Rubber Research (2024-02)
    DOI: 10.1007/s42464-024-00241-x
    Contributors: Archisman Dasgupta, Prasenjit Dutta
    This article examines the suitability of elastomeric materials for 3D printing, focusing on their printability and performance in additive manufacturing. The study addresses key challenges and proposes solutions to improve the usability of elastomers in the rapidly growing field of 3D printing.

  • A Study of Additive Manufacturing Using 3D Printing Machines and Pens
    Book Chapter (2024-01-16)
    DOI: 10.4018/979-8-3693-2647-3.ch005
    Contributors: Archisman Dasgupta, Prasenjit Dutta
    This book chapter provides a comprehensive overview of additive manufacturing techniques, particularly focusing on the use of 3D printing machines and pens. It explores the diverse applications of 3D printing and its impact on modern manufacturing processes, while also highlighting the challenges and advancements in the field.

Bala Kondugolla, Engineering, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Bala Kondugolla, Engineering, Best Researcher Award

Dr. Bala Kondugolla: Associate Professor at Annamacharay University, India

Title/Designation: Dr.

Name: Bala Kondugolla

Current Role/Designation: Associate Professor

Organization/Institution: Annamacharya University, India

Subject Track: Engineering

Key Areas of Expertise:

  • Image Processing

  • Machine Learning

  • Internet of Things (IoT)

  • Artificial Intelligence

Award Category: Best Researcher Award

Dr. K. Bala is an accomplished academician and researcher currently serving as Associate Professor in the Department of Computer Science and Engineering at Annamacharya University, Rajampet, Andhra Pradesh, India. With nearly two decades of teaching, research, and academic leadership experience, he has contributed to both undergraduate and postgraduate education by mentoring students and guiding research projects. His academic journey reflects a steady progression from Assistant Professor roles to Professor and Head of Department positions, demonstrating strong commitment to teaching, research excellence, and institutional development. Dr. Bala is recognized for his expertise in wireless communication, IoT, machine learning, and computer networks, and for authoring multiple textbooks that support both classroom learning and advanced research.

Online Profiles

Dr. Bala maintains professional visibility through his institutional association with Annamacharya University and scholarly contributions indexed in international journals. His academic outreach can be accessed via his email (kbalu443@gmail.com) and contact numbers (+91 9441816983, +91 9849376352). His Google Scholar, Scopus, and ORCID profiles, once linked, would showcase his body of work, including journal publications, conference papers, and authored books. These platforms highlight his collaborations with peers, co-authors, and his increasing influence in computer science and communication engineering research.

Education

He began his academic journey with a B.Tech in Electronics and Communication Engineering from JNTUA, Anantapur in 2000, which laid the foundation for his career in engineering education. He then pursued a Master of Technology (M.Tech) in Digital Electronics and Communication Systems from SKTRM College of Engineering, Mahaboobnagar in 2012, where he enhanced his expertise in advanced communication technologies. His passion for research culminated in a Doctor of Philosophy (Ph.D.) in Wireless Communication from Sri Satya Sai University of Technology & Medical Sciences (SSSUTMS), Sehore, awarded in November 2021. His doctoral thesis focused on wireless heterogeneous networks with respect to seamless mobility, handover delay, quality of service, and security provisioning, making valuable contributions to addressing mobility management and latency challenges in next-generation networks.

Research Focus

Dr. Bala’s research is centered on the design, optimization, and security of wireless communication systems, particularly in heterogeneous networks. His work explores vertical handover authentication protocols, seamless mobility strategies, and QoS improvement techniques that enhance user experience in multi-network environments. Beyond wireless systems, he has extended his focus into underwater optical wireless communication (UOWC), where he has investigated the role of neural networks in mitigating beam divergence and power loss. In recent years, he has also directed research toward Internet of Things (IoT) frameworks, machine learning-based optimization, and signal processing, reflecting his interdisciplinary approach that bridges theory with emerging technologies in communication and computing.

Experience

Over the course of his academic career, Dr. Bala has held a variety of teaching and leadership roles across multiple institutions in Andhra Pradesh and Telangana. He began his teaching journey in 2006 as Assistant Professor at Maheswara Group of Institutions, Hyderabad, and subsequently served in institutions such as Global College of Engineering & Technology, JNTUA College of Engineering (Pulivendula), Balaliji Institute of Technology & Science (Proddatur), and Modugula Kalavatamma Institute of Technology for Women (Rajampet). His leadership potential was recognized in 2013 when he was appointed Associate Professor and Head of Department (HOD) at Srinivasa Institute of Technology & Science, Kadapa, a position he held for seven years. Later, he advanced to the role of Professor at Global College of Engineering & Technology before joining Annamacharya University in 2022, where he continues to teach, research, and guide students.

Research Timeline & Activities

Dr. Bala’s research trajectory can be viewed as a systematic growth in both academic output and applied contributions. Between 2006 and 2012, he concentrated on establishing himself as a dedicated teacher while exploring early research themes. From 2013 to 2020, as HOD, he actively promoted research culture in his department, encouraged student projects, and initiated collaborations in wireless technologies. During his Ph.D. years (2017–2021), he produced impactful publications on seamless mobility and handover delay in wireless networks. Since 2021, he has extended his research into emerging areas like IoT, underwater optical wireless communication, and machine learning for optimization problems, while also publishing multiple academic textbooks that enrich student learning and professional development in the field of computer science.

Awards & Honors

Dr. Bala’s long teaching and research career has been marked by growing recognition within academia. His academic leadership roles, particularly as Head of Department, reflect trust in his ability to guide institutional growth. His publications in reputed international journals and authorship of books with SCIRO International Publishers (2024–2025) highlight his scholarly impact. While specific awards have not been listed, his academic progress and contributions through books, teaching, and applied research demonstrate professional acknowledgment and recognition by peers, colleagues, and students alike.

Top Noted Publication

Among his scholarly contributions, one of his most significant works is the paper titled “Optimized attention neural network based joint link misalignment and beam divergence power optimization for underwater optical wireless communications”, published in Optical and Quantum Electronics (Vol. 56, 2024). This paper presents a cutting-edge approach to improving the efficiency and reliability of underwater communication networks, a domain with growing importance in defense, oceanography, and offshore industries. The study highlights Dr. Bala’s strength in combining artificial intelligence techniques with communication engineering to address real-world technological challenges.

Research Metrics

  • Documents Indexed in Scopus: 1

  • Citations: 1 (cited by 1 document)

  • h-index: 1

Publications (Scopus Indexed)

  1. Optimized attention neural network based joint link misalignment and beam divergence power optimization for underwater optical wireless communications
    Journal: Optical and Quantum Electronics, 2024
    Citation Count: 1

Strengths for the Best Researcher Award

  1. Proven Research Contributions in Wireless & Emerging Communication Technologies
    Dr. Bala has advanced the field of wireless heterogeneous networks by addressing critical challenges such as seamless mobility, handover delay, and QoS provisioning. His research also extends into underwater optical wireless communication (UOWC), integrating neural network models to optimize link reliability, demonstrating both depth and interdisciplinarity in his scholarly work.

  2. Interdisciplinary Expertise Bridging Communication, AI, and IoT
    His expertise spans image processing, machine learning, artificial intelligence, and IoT, with a focus on applying advanced computational methods to optimize real-world communication systems. This interdisciplinary approach highlights his ability to integrate core engineering principles with emerging AI-driven technologies.

  3. Strong Academic & Leadership Record
    With nearly two decades of teaching and research experience, Dr. Bala has held key leadership positions including Associate Professor, Professor, and Head of Department at multiple institutions. His ability to build academic programs, mentor postgraduate researchers, and promote research culture underscores his impact on both students and institutional development.

  4. Recognized Scholarly Output & Publications
    His significant paper “Optimized attention neural network based joint link misalignment and beam divergence power optimization for underwater optical wireless communications” (Optical & Quantum Electronics, 2024) has gained international recognition. Additionally, he has authored textbooks (2024–2025, Sciro International Publishers), reflecting his contribution to both research advancement and academic pedagogy.

  5. Demonstrated Research Impact & Professional Visibility
    Although at an early stage of Scopus-indexed citations (h-index 1), his publications address highly relevant domains with growing industrial and societal applications (wireless networks, IoT, UOWC). His visibility as a researcher is strengthened through academic profiles, publications, and collaborations that continue to expand his influence in engineering research.