Tag: Engineering

Vijayendra Pratap Dheeraj, Engineering, Young Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Vijayendra Pratap Dheeraj, Engineering, Young Researcher Award

Dr. Vijayendra Pratap Dheeraj: Assistant Professor at Rajkiya Engineering College, Ambedkar Nagar, (U.P), India

Dr. Vijayendra Pratap Dheeraj is a passionate researcher and educator specializing in environmental engineering, mine environment, and sustainable water management. With a strong focus on applying advanced analytical and geospatial techniques, he aims to understand and mitigate the environmental impacts of mining activities. He has authored multiple peer-reviewed publications, contributed to workshops, and actively participates in academic and professional communities to promote research-driven solutions for environmental challenges in India.

Online Profiles

Google Scholar Profile

Dr. Dheeraj maintains a strong professional presence online to facilitate academic collaboration and research dissemination. His ORCID profile (0000-0002-8488-6093) lists all his publications, ongoing projects, and collaborations. His Google Scholar profile (Link) shows 76 total citations since 2020, an h-index of 5, and an i10-index of 5, reflecting consistent contributions to environmental and mine engineering research.

Education

Dr. Dheeraj has a comprehensive academic background in engineering and environmental sciences. He earned his Ph.D. in Mine Environment from IIT (BHU) Varanasi (2019–2024), focusing on the hydrogeochemical impacts of coal mining, achieving a CGPA of 9.40. Prior to this, he completed his M.Tech in Environmental Engineering from NIT Patna (2016–2018) with an 8.21 CGPA, where he studied river water quality using modern assessment methods. His undergraduate degree, B.Tech in Civil Engineering from REC Azamgarh (2010–2014), with 73% marks, laid a strong foundation in engineering principles and environmental applications.

Research Focus

Dr. Dheeraj’s research focuses on water quality assessment, pollution evaluation, and sustainable resource management in mining-impacted regions. His work employs advanced multivariate statistical methods, geospatial analysis, and water quality indices (WQIs) to understand the interaction between mining activities and environmental health. He is particularly interested in heavy metal contamination, groundwater-surface water interaction, and health risk assessments, with applications aimed at supporting policymakers and environmental management agencies.

Experience

Dr. Dheeraj has significant teaching and research experience, having served as Guest Faculty at M.M.M. University of Technology, Gorakhpur, and Rajkiya Engineering College, Ambedkar Nagar. He has guided undergraduate and postgraduate students in environmental projects, organized workshops on GIS and water quality monitoring, and contributed to national and international conferences. His professional experience blends academic rigor with applied research in real-world mining environments.

Research Timeline & Activities

  • Ph.D. (2019–2024): Conducted detailed hydrogeochemical and health risk studies of groundwater in Korba Coalfield, Chhattisgarh, using multivariate statistical techniques and water quality indices.

  • M.Tech (2016–2018): Assessed Ganga River water quality in Patna, including seasonal variation studies and pollution source identification.

  • B.Tech (2010–2014): Explored sustainable construction techniques using waste materials in road projects.

  • Workshops & FDPs: Actively participated in training programs on GIS, remote sensing, water quality modeling, and statistical analysis to enhance practical research skills.

Awards & Honors

Dr. Dheeraj has been recognized for academic excellence and research contributions. He qualified GATE in 2016, secured 2nd position in his M.Tech cohort at NIT Patna, and received scholarships from the Ministry of Human Resource Development for both M.Tech and Ph.D. studies. He also serves as a reviewer for high-impact journals like Sustainable Water Resource Management (Springer) and Stochastic Environmental Research and Risk Assessment, reflecting his credibility and standing in the research community.

Top Noted Publication

One of Dr. Dheeraj’s most significant publications is titled “Hydrogeochemical quality investigation of groundwater resource using multivariate statistical methods, water quality indices (WQIs), and health risk assessment in Korba Coalfield Region, India,” published in Stochastic Environmental Research and Risk Assessment (2025). This work combines field data, statistical modeling, and geospatial analysis to provide actionable insights for environmental monitoring and public health risk mitigation in mining regions.

  • Heavy metal pollution indices estimation and principal component analysis to evaluate groundwater quality for drinking purposes in coalfield region, India, Sustainable Water Resources Management, 2024 – 19 citations

  • Assessment of surface and ground water quality around Korba Coalfield, India: integrated approach of WQI, multivariate statistics, and GIS, Sustainable Water Resources Management, 2023 – 16 citations

  • Groundwater quality assessment in Korba Coalfield region, India: GIS and HPI model, Nature Environment and Pollution Technology, 2023 – 16 citations

  • Hydrogeochemical quality investigation using multivariate methods, WQIs, and health risk assessment in Korba, Stochastic Environmental Research and Risk Assessment, 2025 – 11 citations

  • Evaluation of groundwater quality using WQI in Ambedkar Nagar City, Uttar Pradesh, International Conference on Advances in Civil Engineering, 2020 – 10 citations

Strengths for Young Researcher Award

  1. Significant Research Contributions Early in Career

    • Despite being early in his academic career, Dr. Dheeraj has published multiple peer-reviewed papers in high-impact journals, with 76 citations since 2020.

    • His work demonstrates consistent productivity and influence in the fields of environmental engineering and mine water management.

  2. Innovative and Interdisciplinary Research Approach

    • Employs advanced multivariate statistical methods, GIS, water quality indices (WQIs), and health risk assessments to evaluate groundwater and surface water in mining-impacted areas.

    • Integrates environmental engineering, geospatial analysis, and public health considerations, showing creativity and forward-thinking in problem-solving.

  3. Practical Impact and Policy Relevance

    • Research addresses real-world environmental challenges, such as heavy metal contamination and groundwater pollution in coalfield regions.

    • Provides actionable insights for policymakers and environmental management authorities, bridging the gap between research and societal benefit.

  4. Early Recognition and Academic Excellence

    • Achieved notable academic milestones including GATE qualification, top ranks in M.Tech, and scholarships for M.Tech and Ph.D. studies.

    • Reviewed for high-impact journals, reflecting trust in his expertise even as a young researcher.

  5. Active Engagement in Research Community and Skill Development

    • Participated in workshops, FDPs, and conferences on GIS, water quality modeling, and environmental monitoring.

    • Mentored students and facilitated knowledge sharing, showing leadership and commitment to fostering future research talent.

Chelang Arslan, Engineering, Best Innovator Award

Posted on by scizentox scizentoxLeave a Comment on Chelang Arslan, Engineering, Best Innovator Award

Prof. Dr. Chelang Arslan: Dean of college of Engineering at University Of Kirkuk, Iraq

Prof. Dr. Chelang Akram Omar Arslan, born on April 5, 1969, in Kirkuk, Iraq, is a distinguished civil engineer and academic leader with extensive experience in water resources engineering. Currently serving as Dean of the College of Engineering at the University of Kirkuk, he has devoted over 28 years to advancing higher education and scientific research in Iraq. His career combines teaching, research, and administrative leadership, and he is recognized for integrating modern computational methods with practical water management solutions.

Online Profiles

Scopus Profile

Research Output (Scopus Metrics):

  • Total Documents: 7

  • Total Citations: 208 (from 183 citing documents)

  • h-index: 4

These metrics indicate a strong impact in the field of civil and water resources engineering, with contributions focused on hydrological modeling, hydraulic structures, and the application of AI and neuro-fuzzy systems in water management.

Education

Dr. Arslan earned his PhD in Civil Engineering with a specialization in Water Resources Engineering from the University of Technology, Baghdad. To strengthen his expertise, he completed a 12-month postdoctoral research fellowship at Selcuk University, Turkey, in 2015, focusing on advanced hydrological modeling and computational simulations. He has also pursued multiple professional certifications in computer proficiency, teaching methods, STADPRO, electronic management, and modern educational technologies.

Research Focus

His research spans the development and application of computational models in water resources management, streamflow forecasting, and hydraulic structures. He is particularly known for integrating artificial neural networks (ANNs), adaptive neuro-fuzzy inference systems (ANFIS), and hybrid AI models in hydrological predictions. His studies cover practical water management, climate impact assessment, river flow simulation, and optimization of hydraulic structures, bridging the gap between theoretical research and real-world engineering applications.

Experience

With more than 28 years of teaching and research experience, Dr. Arslan has instructed undergraduate and postgraduate students in fluid mechanics, sanitary engineering, hydraulic structures, engineering analysis, and advanced numerical methods. He has held key administrative positions including Head of the Civil Engineering Department, Secretary of the College of Engineering Council, Chairman of Academic Promotions Committees, and currently serves as Dean of the College of Engineering at the University of Kirkuk. He has also guided numerous MSc and PhD students and contributed to curriculum development and academic quality assurance.

Research Timeline & Activities

Dr. Arslan’s scholarly activity began in the late 1990s, with a focus on hydraulic structures, streamflow forecasting, and water management models. Between 2010 and 2024, he published over 20 high-impact papers in international journals and participated in multiple conferences in Turkey, Spain, and Egypt. His work includes rainfall-runoff modeling, evaporation estimation, river discharge prediction, particle velocity in rock blasting, and dam optimization. He actively combines AI techniques with hydrological models, contributing to both theoretical advancements and practical solutions in water engineering.

Awards & Honors

Dr. Arslan has been recognized for his scientific contributions, holding reviewer roles in leading journals such as Journal of Asian Scientific Research, Water Supply Journal, and Tikrit Journal of Engineering Sciences. He has received professional acknowledgment for leadership in academic promotions, quality assurance, and scientific committee work. His community contributions include delivering workshops, training courses, and consultancy for local water authorities, enhancing sustainable water resource management in Iraq.

Top Noted Publication

Among his most influential publications is “Performance of Artificial Neural Networks, Support Vector Machine, and Fuzzy Logic Networks in Monthly Streamflow Forecasting for Northern Iraq Rivers” (International Journal of Scientific & Engineering Research, 2016). This study demonstrates the application of AI and neuro-fuzzy techniques for accurate river flow forecasting, establishing a benchmark in water resources modeling in the region. Other notable works include studies on dam optimization, hydraulic structure simulation, and climate change impact assessment on regional water resources.

Title: Synergistic Optimization of Predictive Models for Water Quality Analysis in Treatment Plants Using Machine Learning and Evolutionary Algorithms
Journal: Evolutionary Intelligence, 2025
Citations: 5
Overview: This study presents a hybrid approach combining machine learning techniques with evolutionary algorithms to optimize predictive models for water quality monitoring in treatment plants. The work emphasizes improving model accuracy and reliability, supporting efficient water management and decision-making in engineering applications.

Strengths for Best Innovator Award

  1. Pioneering Research in AI-Driven Water Management
    Dr. Arslan has consistently applied artificial intelligence, including ANNs, ANFIS, and hybrid AI models, to water resources engineering, enabling highly accurate streamflow forecasting, river discharge prediction, and water quality optimization. His innovative integration of AI with hydrological models demonstrates cutting-edge approaches to solving practical engineering challenges.

  2. Innovative Hydraulic Structure Optimization
    Through his research on dam design, including buttress dam optimization and peak particle velocity simulations in rock blasting, Dr. Arslan has advanced methods for structural efficiency and safety, applying computational techniques and evolutionary algorithms to real-world engineering problems.

  3. Cross-Disciplinary and Global Approach
    He bridges civil engineering, computer modeling, and environmental science, publishing in international journals and participating in conferences worldwide (Turkey, Spain, Egypt). This demonstrates the global relevance and innovation of his methodologies.

  4. Educational Innovation and Leadership
    As Dean of the College of Engineering, Dr. Arslan has introduced modern computational tools, such as MATLAB and AI modeling, into curricula and research programs. His dedication to training the next generation of engineers reflects a commitment to innovative education and capacity building in Iraq.

  5. Applied Solutions for Community and Industry
    Beyond academia, Dr. Arslan translates research into practical solutions for local water authorities, irrigation projects, and treatment plants. His work on predictive water quality models using machine learning and evolutionary algorithms demonstrates innovation that directly improves public utilities and resource management.

Sasikala S, Engineering, Best Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Sasikala S, Engineering, Best Researcher Award

Dr. Sasikala S: Associate Professor at Paavai engineering College, India

Dr. S. Sasikala, M.E., Ph.D., is an accomplished researcher, academician, and technologist with extensive expertise in Artificial Intelligence, Machine Learning, and 5G Communication Networks. She is currently serving as an Associate Professor in the Department of Computer Science and Engineering at Paavai Engineering College, Namakkal, where she plays a key role in teaching, research supervision, and academic coordination. With over nine years of combined academic and industrial experience, Dr. Sasikala has developed a strong research foundation that integrates advanced computing models with real-time applications. Her scholarly contributions span AI-driven system optimization, data analytics, deep learning architectures, IoT-enabled healthcare, and network security. Dedicated to promoting innovation in engineering education, she continues to mentor students and collaborate on funded projects that address emerging technological challenges in smart systems and sustainable development.

Online Profiles

Google Scholar Profile

Dr. Sasikala’s research contributions have been well-received within the academic community, reflecting both the quality and impact of her scholarly work. According to Google Scholar metrics, she has a total of 185 citations, with an h-index of 5 and an i10-index of 4, all accumulated since 2020. These metrics demonstrate her consistent publication record and growing influence in the domains of Artificial Intelligence, Machine Learning, and 5G Networks. Her citation profile continues to expand through interdisciplinary collaborations, journal publications, and conference proceedings across reputed indexing platforms such as Scopus, IEEE, and Springer.

Education

Dr. Sasikala obtained her Doctor of Philosophy (Ph.D.) in Computer Science and Engineering as a full-time research scholar from Sona College of Technology, Salem, affiliated with Anna University (2017–2021). Her doctoral thesis titled “Real-Time Multi-Feature Streaming Approximation-Based Location Selection and Random Deployment for Improved Data Rate in 5G SDN Networks” explored novel optimization models for network performance enhancement. She earned her Master of Engineering (M.E.) in Computer Science and Engineering from Selvam College of Engineering and Technology, Namakkal, graduating with distinction and an 8.8 CGPA in 2014. She holds a Bachelor of Technology (B.Tech.) in Information Technology from Maharaja Prithvi Engineering College, Coimbatore, completed in 2010, and a Diploma in Information Technology from Thiagarajar Polytechnic College, Salem, completed in 2006. Her academic path demonstrates a consistent record of excellence and technical growth in the computing domain.

Research Focus

Dr. Sasikala’s research interests converge on the integration of Artificial Intelligence, Data Science, and Wireless Networks to develop adaptive, scalable, and intelligent systems. Her current research directions include AI-based medical image analysis, IoT-assisted healthcare monitoring, deep learning for agricultural automation, 5G-SDN optimization, and cybersecurity enhancement using neural models. She is deeply involved in exploring the applications of machine learning and computer vision for solving domain-specific problems in agriculture, industry, and medicine. With a vision to bridge academic research and societal impact, her studies contribute to the design of efficient algorithms and models that improve data transmission, system accuracy, and intelligent decision-making. She also leads initiatives that explore sustainable AI solutions for healthcare 4.0, industrial automation, and smart city applications.

Experience

With over nine years of professional experience, Dr. Sasikala’s career encompasses both industrial and academic achievements. Her industrial tenure includes roles such as Software Programmer at Genius IT Solutions Pvt. Ltd., Chennai (2010–2011) and Project Manager at SK Rebars Detailing, Salem (2014–2017), where she managed software development, project scheduling, and team coordination. Transitioning to academia, she has held progressive teaching and leadership positions including Assistant Professor at Excel Engineering College (2020–2022), Senior Assistant Professor at New Horizon College of Engineering, Bangalore (2022–2023), Assistant Professor at Muthayammal Engineering College (2023–2025), and presently, Associate Professor at Paavai Engineering College (2025–present). Her responsibilities have included curriculum development, NBA and NAAC coordination, project supervision, and mentoring of UG and PG students in cutting-edge computing technologies.

Research Timeline & Activities

Dr. Sasikala’s research journey began during her Ph.D. tenure (2017–2021), where she developed high-performance models for 5G network optimization. Post-Ph.D., she diversified her research into AI for medical imaging, drone-based smart agriculture, and cybersecurity applications. Between 2021 and 2025, she published more than ten papers in Scopus-indexed and Springer journals, including SN Computer Science, Journal of Ambient Intelligence and Humanized Computing, and Current Medical Imaging. She has presented her research at numerous IEEE international conferences, such as ICCES 2024 and SmartTechCon 2023 (Singapore). Beyond publications, she authored book chapters with IGI Global and Wiley, and has filed an Indian patent on IoT-based pregnancy monitoring systems. Her ongoing proposals to DST, CSIR, and BIRAC focus on AI-powered robotics, smart environmental monitoring, and healthcare innovations, with funding values ranging from ₹36 to ₹76 lakhs.

Awards & Honors

Throughout her career, Dr. Sasikala has received recognition for her research excellence, leadership, and project contributions. Her project titled “Drone-Based Smart Agriculture and Animal Monitoring System” was selected by the Tamil Nadu State Council for Science and Technology (TNSCST) in 2022. She has been appointed as a reviewer for high-impact international journals such as the International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM) and Frontier Medicine (Q1). She has also delivered invited lectures, including a guest talk on “Research Challenges and Future Scope of 6G Technology” at Kumaraguru College of Technology, Coimbatore. Her active participation in AICTE and NITTTR FDPs further demonstrates her commitment to lifelong learning and faculty development.

Top Noted Publication

Among her numerous publications, one of Dr. Sasikala’s most notable works is her 2025 article, “A Novel Stock Data Market Prediction Using Hybrid LSTM-RBFN Model”, published in SN Computer Science (Springer Nature), which presents a hybrid deep learning framework for financial forecasting. Another impactful paper, “Tri Feature Streaming Approximation Based Random Placement and Location Selection for Macro Cells Units for Improved Data Rate in 5G-SDN Networks” (2022), showcases her expertise in 5G network design and optimization. Her research on “A Convolution Neural Network Approach for Rice Leaf Disease Detection in India Using Deep Learning” (Scopus, 2025) further highlights her interdisciplinary contributions to agricultural technology. Collectively, these works represent her vision of applying AI-driven intelligence across domains to improve accuracy, efficiency, and societal well-being.

  • Raspberry Pi-enabled Wearable Sensors for Personal Health Tracking and Analysis
    K. Karthika, S. Dhanalakshmi, S.M. Murthy, N. Mishra, S. Sasikala, et al.
    2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
    Citations: 61 | Year: 2023

  • Drunk Driving Detection and Automatic Car Ignition Locking System
    T.S. Kumar, R. Raman, M. Karthikeyan, C.J. Rawandale, S. Sasikala, et al.
    2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
    Citations: 48 | Year: 2023

  • IoT Controlled Device to Manage the EMG Signals of the Patient and Alert in Real Time
    G. Arunsankar, B. Gopi, R. Sampathrajan, S. Sasikala, A. Vanathi, et al.
    2023 Second International Conference on Smart Technologies for Smart Nation (SmartTechCon), Singapore
    Citations: 47 | Year: 2023

  • A Convolutional Neural Network Approach for Rice Leaf Disease Detection in India Using Deep Learning
    K.K. Kumar, S. Sasikala, G. Maheswari, M.K.B. Suthar, P. Sridevi, D. Kavitha, et al.
    Journal of Neonatal Surgery, Vol. 14(4S), Scopus Indexed
    Citations: 21 | Year: 2025

  • RETRACTED ARTICLE: Adaption of 5G Networks in Industrial Sector with Improved Bandwidth Utilization
    S. Sasikala, S. Sakthivel
    Journal of Ambient Intelligence and Humanized Computing, Vol. 12(6), Springer
    Citations: 6 | Year: 2021

Strengths for the Best Researcher Award

  1. Consistent Research Productivity:
    Dr. Sasikala has demonstrated sustained scholarly output through more than a dozen publications in reputed Scopus, IEEE, and Springer-indexed journals, achieving 185 citations, an h-index of 5, and an i10-index of 4 since 2020, reflecting the growing impact of her contributions in Artificial Intelligence and 5G technologies.

  2. Interdisciplinary Innovation:
    Her research bridges multiple domains—AI, IoT, Deep Learning, Data Analytics, and Wireless Networks—addressing societal and industrial challenges in healthcare, agriculture, and communication systems through practical and deployable intelligent models.

  3. Active Research Leadership and Mentorship:
    As an Associate Professor, she leads student research teams, coordinates funded proposals (DST, CSIR, BIRAC), and mentors both undergraduate and postgraduate projects, fostering innovation and cultivating a strong research culture within the institution.

  4. Recognized Research Excellence and Service:
    Dr. Sasikala’s selection of her TNSCST-funded project, appointment as a reviewer for Q1 international journals, and invitations for guest lectures underscore her recognition as a thought leader and contributor to India’s research ecosystem.

  5. Global Research Visibility and Impact:
    Through her participation in international conferences (Singapore, IEEE ICCES 2024), publication of book chapters (IGI Global, Wiley), and patent filing in IoT-based healthcare systems, she continues to build a global academic presence that strengthens the visibility of Indian research in advanced computing.

Ramulu Gugulothu, Engineering, Best Innovator Award

Posted on by scizentox scizentoxLeave a Comment on Ramulu Gugulothu, Engineering, Best Innovator Award

Prof. Dr. Ramulu Gugulothu: Senior Lecturer in Civil Engineering at Department of Technical Education, Telangana, India

Gugulothu Ramulu is a Senior Lecturer in Civil Engineering under the Department of Technical Education, Government of Telangana, India. He has over a decade of academic involvement in diploma-level engineering education, where he teaches core subjects in transportation engineering, highway materials, surveying, and construction technology. He is currently pursuing his Ph.D. in Civil Engineering at the National Institute of Technology, Warangal. His doctoral research focuses on the development of sustainable pavement base materials by incorporating industrial and biomedical waste by-products into stabilization processes. His work aims to provide cost-effective and environmentally responsible alternatives for pavement construction, particularly for low and medium traffic road networks in developing regions. He has contributed research articles to peer-reviewed international journals and has presented scientific papers at reputed international conferences in transportation engineering.

Online Profiles

Scopus Profile

According to Scopus, Gugulothu Ramulu has authored 4 peer-reviewed research publications, which have collectively received 10 citations across 7 citing documents. His current h-index is 1, reflecting the emerging and developing stage of his research career in the field of pavement engineering and sustainable infrastructure materials. His Scopus Author ID is 59197856800, which indexes his contributions to journals focusing on pavement stabilization, waste utilization in civil engineering, and transportation material characterization.

Education

  • Ph.D., Civil Engineering, National Institute of Technology, Warangal (Expected Completion: October 2025)
    Research involves experimental characterization of geopolymer and cement-based stabilizers for pavement base applications using waste-based materials.

  • Previous Academic Qualifications: Strong foundation in transportation engineering, pavement material studies, and practical laboratory methodologies.

  • Relevant Certifications: Doctoral research training in pavement engineering laboratories and material evaluation protocols.

Research Focus

His research interests lie in the development and evaluation of sustainable road construction materials. He primarily works on pavement stabilization using industrial by-products such as fly ash and biomedical waste incinerated ash, aiming to reduce environmental pollution and promote circular resource utilization. His studies include mechanical performance evaluation, durability assessment, microstructural analysis, cost-benefit considerations, and environmental footprint assessment of stabilized pavement layers. His long-term research goal is to support the adoption of green and resilient road infrastructure solutions at both rural and urban development scales.

Experience

He has been serving as a Senior Lecturer in Civil Engineering, where he is engaged in teaching, curriculum development, laboratory instruction, and examination coordination. In addition to teaching responsibilities, he mentors students in technical project work and field-based training. His institutional service includes participation in academic committees, student guidance, department-level planning, and technical event organization. His professional experience reflects a balance between teaching responsibilities and ongoing research engagement, which strengthens his role as both an educator and a developing researcher in sustainable transportation engineering.

Research Timeline & Activities

  • Conducting ongoing Ph.D. research on waste-derived geopolymer stabilization of pavement base courses.

  • Performing laboratory testing that includes unconfined compressive strength, resilient modulus, microstructure imaging, and durability evaluation.

  • Publishing high-quality research articles in peer-reviewed journals indexed in SCI and Scopus.

  • Presenting research outcomes at international conferences on transportation infrastructure and sustainable pavement systems.

  • Collaborating with academic peers in civil engineering research groups working on waste utilization and pavement material innovation.

  • Continuously updating skills in emerging technologies and modern pavement assessment methodologies.

Top Noted Publications

  1. Ramulu, G., & Shankar, S. (2024). Performance assessment of geopolymer stabilized aggregate pavement bases with incorporation of biomedical waste incinerated ash. Innovative Infrastructure Solutions, 9(7), 281.

  2. Gugulothu, R., & Sabavath, S. (2025). Performance evaluation of biomedical waste incinerated ash and cement blend as stabilizing agent for low volume road bases. Journal of Rehabilitation in Civil Engineering, 13(1), 79-95.

  3. Ramulu, G., & Sabavath, S. (2025). Comparative Performance and Environmental Assessment of Geopolymer-Stabilized and Cement-Stabilized Aggregates for Pavement Base Applications. International Journal of Pavement Research and Technology, 1-23.

Strength for the Best Innovator Award

1. Innovative Research in Sustainable Pavement Materials

Prof. Dr. Gugulothu has pioneered the development of environmentally responsible pavement base materials by integrating industrial and biomedical waste by-products into stabilization processes. His work demonstrates originality in transforming waste materials—such as fly ash and biomedical waste incinerated ash—into functional engineering solutions, addressing both sustainability and resource efficiency in civil infrastructure.

2. Practical Impact on Low and Medium Traffic Road Networks

His research focuses on providing cost-effective and scalable solutions for rural and urban road networks in developing regions. By optimizing waste-based geopolymer and cement stabilization techniques, his work offers practical alternatives for governments and municipalities seeking durable, low-cost, and eco-friendly pavement options.

3. Strong Academic and Research Integration

With over a decade of teaching and mentoring experience in core civil engineering disciplines, Prof. Gugulothu bridges the gap between academic theory and applied research. His mentorship of students in laboratory and field-based projects ensures the next generation of engineers are trained in innovative and sustainable construction technologies.

4. Recognition and Contribution in International Research

He has contributed to peer-reviewed international journals and presented at reputed conferences in transportation engineering. His publications on geopolymer and cement-stabilized pavements with waste incorporation reflect a high-quality research profile with measurable impact, setting benchmarks for sustainable material use in civil infrastructure.

5. Commitment to Circular Economy and Environmental Responsibility

Prof. Gugulothu’s work exemplifies circular economy principles by turning industrial and biomedical waste into high-value engineering materials. His research not only reduces environmental pollution but also advances green infrastructure practices, positioning him as an innovator at the intersection of environmental stewardship and civil engineering.

Kumar Sonu, Engineering, Best Innovator Award

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

Dr. Kumar Sonu: Senior Project Engineer at Indian Institute of Technology Kanpur, India

Dr. Kumar Sonu is a dedicated researcher, educator, and innovator in energy, environmental, and civil engineering, with a strong focus on sustainable solutions for wastewater management and bioenergy generation. Over the past decade, he has developed cutting-edge microbial fuel cell technologies, authored numerous publications, contributed to patents, and provided leadership in academic administration, bridging the gap between research innovation and practical applications for environmental sustainability.

Online Profiles

Google Scholar Profile

Dr. Kumar Sonu has achieved a total of 589 citations, with 583 citations since 2020, reflecting a highly productive and influential recent research period. His h-index of 14 demonstrates that at least 14 of his publications have been cited 14 times or more, indicating consistent academic impact, while his i10-index of 20 shows that 20 of his papers have received 10 or more citations. These metrics highlight the significance and relevance of his contributions, particularly in microbial fuel cells, sustainable wastewater treatment, and bioenergy research.

Education

He earned a PhD in Civil Engineering from Manipal University Jaipur (2021), an M.Tech in Energy & Environmental Engineering from VIT Vellore (2016, First Class Distinction), and a B.E. in Mechanical Engineering from Visvesvaraya Technological University, Belgaum (2013, First Class Distinction). His multidisciplinary academic foundation equips him to integrate principles from mechanical, civil, and environmental engineering in addressing energy and sustainability challenges.

Research Focus

Dr. Sonu’s research primarily explores microbial fuel cells, bioelectricity generation, sustainable wastewater treatment, and the upcycling of industrial, agricultural, and municipal waste. His work emphasizes cost-effective, scalable technologies for environmental remediation while simultaneously producing renewable energy, aiming to develop sustainable solutions for both industrial and community-level applications.

Experience

He has extensive experience in academia, research, and industry. He served as Associate Professor and Head of Department at Kashi Institute of Technology, Varanasi, and Senior Project Engineer at IIT Kanpur, overseeing teaching, research, and project administration. In industry, he worked as Assistant Manager at Shree Ram Transport Finance Company Ltd., managing operations and strategic planning. His roles have honed both technical expertise and leadership abilities.

Research Timeline & Activities

Since 2016, Dr. Sonu has actively contributed to advancing microbial fuel cell technologies, with 41 journal publications, 13 conference presentations, three patents, and several book chapters. He has led a DST-funded project on community-based RO plant reject management, participated in international workshops, and supervised student research. His work demonstrates a steady trajectory of innovation, knowledge dissemination, and practical application of engineering research.

Awards & Honors

Dr. Sonu’s achievements include leadership positions such as IIC-President, Dean R&D, and PMKVY Coordinator, recognition for innovation and patent contributions, and peer-review responsibilities for high-impact journals like Chemosphere and Bioresource Technology. He is widely acknowledged for his contributions to research, academic leadership, and promotion of sustainable technologies.

Top Noted Publication

One of his most influential works is “Water hyacinth-assisted Microbial Fuel Cells: A Review on Prospects for Bioenergy and Wastewater Treatment” (Environmental Progress & Sustainable Energy, 2025, accepted). This publication highlights his expertise in integrating bioengineering solutions with sustainable energy technologies, demonstrating global relevance in environmental remediation and renewable energy research.

  • Microbial biofilms for environmental bioremediation of heavy metals: a review

    • Authors: Z Syed, M Sogani, J Rajvanshi, K Sonu

    • Journal: Applied Biochemistry and Biotechnology, 195(9), 5693–5711, 2023

    • Citations: 59

  • Enhanced decolorization and treatment of textile dye wastewater through adsorption on acid modified corncob derived biochar

    • Authors: K Sonu, M Sogani, Z Syed, A Dongre, G Sharma

    • Journal: ChemistrySelect, 5(39), 12287–12297, 2020

    • Citations: 57

  • Perceiving biobased plastics as an alternative and innovative solution to combat plastic pollution for a circular economy

    • Authors: J Rajvanshi, M Sogani, A Kumar, S Arora, Z Syed, K Sonu, NS Gupta, …

    • Journal: Science of The Total Environment, 874, 162441, 2023

    • Citations: 56

  • Bioelectrochemical systems for environmental remediation of estrogens: a review and way forward

    • Authors: Z Syed, M Sogani, A Dongre, A Kumar, K Sonu, G Sharma, AB Gupta

    • Journal: Science of The Total Environment, 780, 146544, 2021

    • Citations: 50

  • Integrated Constructed Wetland‐Microbial Fuel Cell using Biochar as Wetland Matrix: Influence on Power Generation and Textile Wastewater Treatment

    • Authors: K Sonu, M Sogani, Z Syed

    • Journal: ChemistrySelect, 6(32), 8323–8328, 2021

    • Citations: 39

Bhawna Pathak, Engineering, Young Researcher Award

Posted on by scizentox scizentoxLeave a Comment on Bhawna Pathak, Engineering, Young Researcher Award

Miss. Bhawna Pathak: PhD scholar at Indian Institute of Technology Mandi, India

Bhawna Pathak is a PhD researcher at IIT Mandi specializing in glacial lake dynamics and the Himalayan cryosphere. She has extensive experience in geospatial analysis, satellite image interpretation, and environmental monitoring, with proficiency in Python, QGIS, ArcGIS, and Google Earth Engine. Her research combines field-based observations with advanced remote sensing techniques to understand glacier-lake evolution, cryospheric changes, and climate-related hazards. She is passionate about applying scientific insights to support sustainable environmental management and disaster mitigation in high-altitude Himalayan regions.

Online Profiles

Google Scholar Profile

Bhawna Pathak’s research work has been cited 33 times since 2020, reflecting the growing recognition of her contributions to glacial lake dynamics and Himalayan cryosphere studies. She currently has an h-index of 1 and an i10-index of 1, highlighting her published work’s emerging influence in the fields of remote sensing, geospatial analysis, and environmental monitoring.

Education

Bhawna is currently pursuing a PhD in Glacial Lake Dynamics at IIT Mandi (2024–Present) under the guidance of Dr. Dericks P. Shukla, with a CGPA of 9.31. She completed her M.Sc. in Remote Sensing & GIS from SSJ Campus, Almora (2020–2022) with 83%, where she developed strong technical skills in satellite image analysis and geospatial modeling. She holds a B.Sc. in Geology, Mathematics, and Physics from DSB Campus, Nainital (2017–2020) with 69%, providing her with a strong foundation in Earth sciences. Additionally, she qualified GATE GE 2023 with an All India Rank of 337 and a score of 362, reflecting her aptitude in geospatial and environmental engineering concepts.

Research Focus

Her research focuses on understanding the dynamics of glacial lakes and the broader Himalayan cryosphere in the context of climate change. She employs multi-source satellite data, machine learning, and advanced geospatial techniques to monitor glacier mass balance, lake expansion, and associated environmental risks. Her work aims to provide actionable insights for policymakers, disaster management authorities, and environmental conservation initiatives. She is particularly interested in integrating remote sensing with field observations to enhance the accuracy of cryospheric monitoring and modeling in high-altitude regions.

Experience

Bhawna has a rich research and professional experience portfolio. As a Project Scientist at Arunachal Pradesh Space Application Centre, she contributed to digitizing state-wide spatial and non-spatial datasets for government infrastructure development. As a Junior Project Fellow at GBPNIHE, she assessed climate vulnerability in local communities and documented traditional climate-smart practices. She also worked as a Freelance GIS Analyst for wildlife conservation projects, creating and analyzing spatial maps to support biodiversity management. During her Research Internship at IIT Roorkee, she analyzed glacier mass balance datasets and assessed the accuracy of satellite-derived observations. Across all roles, she has leveraged tools such as QGIS, ArcGIS, Python, and Google Earth Engine to solve real-world environmental and geospatial challenges.

Research Timeline & Activities

Bhawna’s research journey started with her undergraduate studies in geology, followed by specialized training in remote sensing and GIS during her M.Sc.. In 2022, she interned at IIT Roorkee to evaluate satellite-based glacier mass balance datasets. In 2023, she contributed to climate vulnerability studies at GBPNIHE and GIS-based wildlife conservation mapping. Later in 2023–24, she served as a Project Scientist digitizing Arunachal Pradesh’s spatial data. Since 2024, her PhD research at IIT Mandi focuses on glacial lake dynamics, integrating satellite time-series analysis, machine learning, and field validation to track cryospheric changes. She actively participates in workshops and advanced training programs on geospatial technology, glacier monitoring, and climate change adaptation.

Awards & Honors

Bhawna’s notable achievements include qualifying GATE GE 2023 with an All India Rank of 337, recognition for her contributions to climate-smart community assessments and GIS-based wildlife conservation, and participation in international and national workshops on geospatial data analysis, GeoAI, and water resource management. She has also received academic accolades for her research publications and her contributions to advancing cryospheric monitoring in the Himalaya.

Top Noted Publication

  • Sarkar, M.S., Majhi, B.K., Pathak, B., et al. Ensembling machine learning models to identify forest fire-susceptible zones in Northeast India. Ecological Informatics, 81, 102598 (2024). Cited 33 times.

  • Pathak, B., Singh, A., Tiwari, R.K., Shukla, D.P. Automated mapping of glacial lakes in Himachal Pradesh using multisource remote sensing data and machine learning. Scientific Reports, 15(1), 36619 (2025).

  • Rajkhowa, R., Pathak, B., Biswas, T. Review of Structural Mitigation Techniques for Landslide Risk Reduction: Insights for Arunachal Pradesh. In: Landslides in the Himalayan Region: Risk Assessment and Mitigation Strategy (2024).

These publications reflect her expertise in remote sensing, geospatial analysis, and environmental risk assessment, with practical applications in climate change, disaster mitigation, and natural resource management.

strengths for a “Young Researcher Award” :

1. Advanced Expertise in Geospatial Analysis and Remote Sensing

Bhawna demonstrates strong proficiency in Python, QGIS, ArcGIS, SNAP, ENVI, and Google Earth Engine, enabling her to process, analyze, and visualize complex spatial datasets. Her technical skills allow her to address high-altitude Himalayan environmental challenges effectively.

2. Innovative Research in Cryosphere and Glacial Lake Dynamics

Her PhD research focuses on glacial lake evolution and Himalayan cryosphere monitoring, integrating satellite data, field observations, and machine learning. This innovative approach contributes significantly to understanding climate change impacts in sensitive mountainous regions.

3. Proven Research Productivity and Scholarly Impact

Bhawna has multiple peer-reviewed publications, including in Scientific Reports and Ecological Informatics, with her work cited 33 times since 2020. Her contributions demonstrate emerging influence in environmental monitoring and geospatial research.

4. Interdisciplinary and Applied Approach

She combines geology, remote sensing, GIS, and climate studies to address practical problems, such as glacier hazards, forest fire susceptibility, and landslide risk mitigation. Her research informs policy decisions, disaster management, and conservation initiatives, highlighting its real-world relevance.

5. Commitment to Capacity Building and Collaborative Research

Bhawna has actively participated in workshops, international training programs, and collaborative projects, supporting knowledge sharing in geospatial technology, glacier monitoring, and climate adaptation. Her engagement reflects leadership potential and commitment to advancing the research community.

Bandita Dutta, Engineering, Best Innovator Award

Posted on by scizentox scizentoxLeave a Comment on Bandita Dutta, Engineering, Best Innovator Award

Miss. Bandita Dutta: DST INSPIRE Senior Research Fellow at Maulana Abul Kalam Azad University of Technology, West Bengal, India

Bandita Dutta is an emerging scientist in the field of biotechnology with a specialized focus on microbiology, biofilm research, and drug discovery. Based in Kolkata, India, she is currently a PhD Senior Research Fellow at MAKAUT, West Bengal, under the DST-INSPIRE Fellowship. Her academic and research journey reflects a consistent dedication to solving real-world biomedical and environmental problems using both wet lab and computational techniques. Bandita’s work bridges microbiological experimentation with molecular modeling, and her contributions in antibiofilm strategies using bacteriocins, phytocompounds, and nanoformulations have been recognized both nationally and internationally. With over 30 publications, she is building a strong reputation as a young innovator in antimicrobial research and translational bioengineering.

Online Profiles

Google Scholar Profile

As of October 2025, Bandita Dutta has accumulated a total of 953 citations, with 950 citations since 2020. Her h-index stands at 13, indicating that 13 of her publications have received at least 13 citations each, and her i10-index is 16, reflecting that 16 of her papers have been cited 10 times or more. These metrics reflect the growing academic impact of her research in the fields of microbiology, biofilm studies, and antimicrobial drug discovery.

Education

Bandita holds a Master of Technology (M.Tech) degree in Biotechnology from Maulana Abul Kalam Azad University of Technology (MAKAUT), West Bengal, completed in 2021 with a DGPA of 9.56, ranking first in her university. She completed her Bachelor of Technology (B.Tech) in Biotechnology from the University of Engineering and Management, Kolkata, in 2019 with an equally strong DGPA of 9.40. She qualified the GATE 2020 exam with an All India Rank of 953, demonstrating her strong academic grounding. Her educational background has been complemented by several certified training programs, including NPTEL courses on Bioenergy and Cell Culture, and an international certificate course on Stem Cells & Medical Science.

Research Focus

Bandita’s primary research interests revolve around the formation, inhibition, and eradication of bacterial biofilms, with a particular emphasis on quorum sensing mechanisms, natural antimicrobial peptides, and phytocompounds. Her work targets both Gram-positive and Gram-negative pathogens, aiming to develop alternative antimicrobial strategies that can combat antibiotic-resistant infections. She has also expanded her research into nanotechnology, working on the development of bacteriocin-mediated silver nanoconjugates and quantum dot-based delivery systems. Additionally, her interest in metagenomics and multi-omics technologies supports her efforts to understand complex microbial communities and their responses to environmental and therapeutic interventions. Her work is highly relevant to current challenges in clinical microbiology, food safety, and environmental biotechnology.

Experience

Currently, Bandita is working as a PhD Senior Research Fellow (since February 2022) at MAKAUT under the Department of Biotechnology, funded by the prestigious DST-INSPIRE Fellowship. Her academic journey began with a B.Tech project on the dual role of biofilm in polyethylene degradation and antimicrobial resistance, followed by her M.Tech research on bacteriocins as quorum sensing inhibitors using in silico methods. She has carried out various course-based research projects involving polyolefin biodegradation, ribosome-targeting AMPs, and phytocompound screening for antibiofilm applications. She also completed internships at CSIR-NEIST focusing on drug discovery and micronutrients, and at Baidyanath Ayurveda Pvt. Ltd on pharmaceutical formulation studies, giving her a balanced perspective of both academic and industrial research environments.

Research Timeline & Activities

Since the beginning of her research career, Bandita has maintained a steady pace of academic output and scientific engagement. From 2018 to 2025, she has participated in over 15 national and international conferences, delivering oral presentations and poster presentations on biofilm control, quorum quenching, and nanotherapeutics. Notable participations include the 9th Nano Today Conference (Singapore) and Microbiology Society Annual Conference (UK). She has consistently received recognition for her presentations, winning several Best Oral Presentation Awards at events such as BIOSPECTRUM, ICRTB, and BIONEXT. In addition to conference activity, she has co-authored over 30 peer-reviewed journal articles and 15+ book chapters, with many as first author. Her academic trajectory also includes collaborative multi-author publications in Frontiers in Microbiology, Naunyn-Schmiedeberg’s Archives of Pharmacology, and Elsevier volumes, contributing significantly to contemporary microbiological research.

Awards & Honors

Bandita has received multiple accolades for her scientific work and academic performance. Most notably, she was awarded the DST-INSPIRE Fellowship (2022) to support her doctoral research. She was the University Topper during her M.Tech program and was recognized with the Vice-Chancellor’s Award for Best Scientific Mind during her B.Tech. She received the Best Oral Presentation Award at several national conferences including ICRTB 2021 (MIT Pune), BIOSPECTRUM 2019, and BIONEXT 2022. In recognition of her continued academic contribution, she was honored with the UEM Young Alumnus Award (2024) and the MAKAUT Achiever Award (2024), further cementing her role as a young scientific leader in her field.

Top Noted Publication

Among her numerous publications, one of Bandita’s most impactful works is titled “Bacteriocin-Mediated Silver Nanoconjugate: Synthesis, Characterization, and Application as an Antibiofilm Agent Against Two Common Pathogenic Bacteria”, published in Probiotics & Antimicrobial Proteins (2025). This study investigates the synthesis and application of a novel nano-bio hybrid system combining bacteriocins with silver nanoparticles, offering significant efficacy against multi-drug resistant biofilms. The paper not only demonstrates strong in vitro results but also supports the mechanistic understanding of biofilm inhibition, paving the way for potential clinical applications. DOI: https://doi.org/10.1007/s12602-025-10656-6

  • Bacterial Cellulose: Production, Characterization, and Application as Antimicrobial Agent
    D. Lahiri, M. Nag, B. Dutta, A. Dey, T. Sarkar, S. Pati, H.A. Edinur, Z. Abdul Kari, et al.
    International Journal of Molecular Sciences, 22(23), 12984 (2021)
    Citations: 315

  • Antibiofilm Activity of α-Amylase from Bacillus subtilis and Prediction of the Optimized Conditions for Biofilm Removal by Response Surface Methodology (RSM) and Artificial Neural Network (ANN)
    D. Lahiri, M. Nag, T. Sarkar, B. Dutta, R.R. Ray
    Applied Biochemistry and Biotechnology, 193(6), 1853–1872 (2021)
    Citations: 96

  • Bacteriocin: A Natural Approach for Food Safety and Food Security
    D. Lahiri, M. Nag, B. Dutta, T. Sarkar, S. Pati, D. Basu, Z. Abdul Kari, L.S. Wei, et al.
    Frontiers in Bioengineering and Biotechnology, 10, 1005918 (2022)
    Citations: 94

  • Antibiofilm and Anti-Quorum Sensing Activities of Eugenol and Linalool from Ocimum tenuiflorum Against Pseudomonas aeruginosa Biofilm
    D. Lahiri, M. Nag, B. Dutta, S. Dey, D. Mukherjee, S.J. Joshi, R.R. Ray
    Journal of Applied Microbiology, 131(6), 2821–2837 (2021)
    Citations: 88

  • Catechin as the Most Efficient Bioactive Compound from Azadirachta indica with Antibiofilm and Anti-Quorum Sensing Activities Against Dental Biofilm: An In Vitro and In Silico Study
    D. Lahiri, M. Nag, B. Dutta, I. Mukherjee, S. Ghosh, A. Dey, R. Banerjee, et al.
    Applied Biochemistry and Biotechnology, 193(6), 1617–1630 (2021)
    Citations: 77

Strengths for Best Innovator Award

1. Pioneering Work in Antibiofilm and Antimicrobial Innovation

Bandita Dutta’s cutting-edge research on biofilm inhibition and eradication using bacteriocins, phytochemicals, and nanoformulations directly addresses the global crisis of antimicrobial resistance. Her innovative approach to integrating wet lab techniques with in silico modeling has yielded impactful solutions, making her a standout figure in translational antimicrobial research.

2. Excellence in High-Impact Research and Publication

With over 950 citations, an h-index of 13, and more than 30 publications, including several in top-tier journals like International Journal of Molecular Sciences, Frontiers in Bioengineering, and Applied Biochemistry and Biotechnology, she demonstrates sustained scholarly excellence and growing influence in microbiology and biotechnology.

3. Interdisciplinary and Translational Approach

Bandita bridges microbiology, bioinformatics, nanotechnology, and drug discovery, reflecting a uniquely interdisciplinary mindset. Her work on bacteriocin-mediated silver nanoconjugates and quantum dot delivery systems exemplifies her ability to translate molecular insights into real-world biomedical and environmental applications.

4. National & International Recognition

Her achievements have been recognized through prestigious awards including the DST-INSPIRE Fellowship, MAKAUT Achiever Award, UEM Young Alumnus Award, and multiple Best Oral Presentation Awards at national and international conferences. These honors reflect her growing impact and leadership as a young scientist on both academic and professional stages.

5. Commitment to Scientific Leadership and Collaboration

Beyond research, Bandita is actively engaged in scientific communication and collaboration, having participated in 15+ international conferences, authored 15+ book chapters, and contributed to multi-author consortiums. Her collaborative spirit, academic rigor, and vision for innovation position her as a future leader in global bioscience innovation.