Tag: Engineering
ARITRA MAJUMDER, Engineering, Best Innovator Award
Mr. Aritra Majumder: Research Scholar & Senior Research Fellow at Department of Civil Engineering, Jadavpur University, Kolkata, India
Title / Designation: Mr
Name: Aritra Majumder
Current Role / Designation: Research Scholar, Senior Research Fellow
Organization / Institution: Jadavpur University
Country: India
Subject Track: Engineering
Award Categories: Best Innovator Award
Entry ID: 11349
Aritra Majumder is an outgoing Ph.D. scholar in Civil Engineering at Jadavpur University, India, and a Senior Research Fellow under the AICTE Doctoral Fellowship. Specializing in Structural Engineering, he has extensive experience in life cycle assessment, sustainability studies, vernacular architecture documentation, vulnerability evaluation, structural analysis, and material characterization. His work integrates socio-economic, climatic, and environmental factors to promote sustainable, resilient, and cost-effective building solutions. Over the years, he has published in reputed peer-reviewed journals, presented at international and national conferences, and contributed to teaching and mentoring undergraduate and postgraduate students, fostering the next generation of civil engineers.
Online Profiles
Google Scholar Profile
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Total Citations (Since 2020): 2
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h-index: 1
Education
Aritra is completing his Ph.D. in Civil Engineering from Jadavpur University, focusing on assessing climate compatibility and sustainability of vernacular architecture across diverse physiographic regions of West Bengal. His M.E. in Structural Engineering from the same university explored innovative environmental solutions, including the incorporation of cigarette butts in concrete to reduce waste and environmental impact. He earned his B.E. in Civil Engineering, building a strong foundation in structural analysis, material properties, and construction practices. His academic journey reflects a consistent focus on combining theoretical knowledge with practical, environmentally sustainable applications in the built environment.
Research Focus
His research primarily revolves around sustainable construction practices, life cycle assessment (LCA), and comparative studies between vernacular and low-cost conventional buildings. He emphasizes evaluating environmental, structural, and socio-economic dimensions of rural housing, including material sustainability, energy efficiency, climate responsiveness, and resilience against environmental stressors. By integrating structural design, material testing, field-based surveys, and computational modeling, he aims to provide holistic recommendations for climate-adaptive, cost-effective, and sustainable housing solutions that align with local traditions and modern sustainability standards.
Experience
Aritra has served as a Senior Research Fellow (2024–Present) and Junior Research Fellow (2022–2024) under the AICTE Doctoral Fellowship, leading research on sustainability and life cycle assessment of rural housing models, soil and vulnerability investigations, and field documentation of vernacular architecture. He has actively compared low-cost conventional housing with traditional structures, providing insights into energy efficiency, material usage, and socio-economic viability. Additionally, he has been a Teaching Assistant since 2020, conducting tutorials, laboratory guidance, and academic mentoring, helping students develop technical proficiency and research skills in civil engineering.
Research Timeline & Activities
From 2022 to 2024, Aritra concentrated on field-based surveys and life cycle assessments of rural housing systems in different physiographic regions of West Bengal, along with comparative analyses of vernacular and conventional building methods. Since 2024, his work has expanded to include climate and vulnerability studies in plateau and hilly regions, soil investigations, and sustainability assessment of low-cost housing under the PMAY initiative. He has actively participated in national and international conferences, published peer-reviewed papers, and contributed to book chapters, reflecting a continuous commitment to applied research, environmental sustainability, and rural development.
Awards & Honors
He is the recipient of the AICTE Doctoral Fellowship (ADF), Government of India, one of the most prestigious awards for doctoral research in engineering. This fellowship recognizes his innovative contributions to sustainability research, his academic excellence, and potential for high-impact work in the field of civil engineering.
Top Noted Publication
Majumder, A., Debsarkar, A., & Roy, K.D. (2025). Life Cycle Assessment of Vernacular Architecture and Low-Cost Conventional Building in Coastal Region, West Bengal: A Comparative Study. Journal of Housing and the Built Environment. (In press)
This study presents a comprehensive comparative evaluation of vernacular and conventional housing systems, using life cycle assessment to quantify environmental impacts, energy consumption, and sustainability benefits, offering actionable insights for rural development and climate-adaptive housing design.
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Assessment of multi-dimensional sustainability of vernacular architecture from global perspective: A critical review over the period (2000–2023)
A. Majumder, A. Debsarkar
Research Journal of Chemistry and Environment, 28(6), 101–122 (2024)
Cited by: 2 -
Life Cycle Assessment (LCA) of a Low-Cost Conventional Building in Rishra, West Bengal
A. Majumder, R. Das, A. Debsarkar, K.D. Roy
Sustainable Advanced Technologies for Environmental Management: Proceedings (2024) -
Life Cycle Assessment (LCA) of a Low-Cost Conventional Building in Rishra, West Bengal: A Case Study
A. Majumder, R. Das, A. Debsarkar, K.D. Roy
International Conference on Sustainable Advanced Technologies for Environmental Management (SATEM), 2023
strong candidate for the Best Innovator Award, based on your profile:
1. Expertise in Sustainable and Climate-Adaptive Solutions
Aritra’s research focuses on life cycle assessment (LCA), sustainability studies, and climate-responsive design of both vernacular and low-cost conventional buildings. His work addresses pressing environmental challenges by promoting energy-efficient, resilient, and eco-friendly housing solutions, demonstrating innovation in sustainable construction practices.
2. Pioneering Research in Vernacular Architecture
He has conducted extensive field-based documentation and analysis of vernacular architecture across diverse physiographic regions of West Bengal. By integrating structural, bio-climatic, and socio-economic perspectives, he provides actionable insights for preserving traditional knowledge while adapting it to modern sustainable development goals.
3. Applied Innovation in Materials and Construction Techniques
From his M.E. research on incorporating cigarette butts in concrete to his Ph.D. work on low-cost housing, Aritra demonstrates innovative thinking in material usage and construction methods that reduce environmental impact while maintaining structural integrity, highlighting a commitment to practical, scalable solutions.
4. Strong Research and Analytical Skills
He has published in reputed peer-reviewed journals, presented at international conferences, and contributed to book chapters, showing excellence in scientific writing, critical analysis, and applied research. His work uses quantitative tools such as LCA software (OneClick LCA, SimaPro) to generate rigorous, data-driven solutions for sustainable housing.
5. Leadership and Mentorship
As a Senior Research Fellow and Teaching Assistant, Aritra has led research projects, guided field studies, and mentored students in civil engineering. His ability to combine research innovation with leadership and academic mentorship demonstrates the broader impact of his work, fostering knowledge sharing and practical implementation.
Protected: Monita Wahengbam, Engineering, Best Innovator Award
Protected: Leandro Danes, Engineering, Best Innovator Award
Protected: Ashutosh Pathak, Engineering, Best Innovator Award
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
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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.
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M.Tech (2016–2018): Assessed Ganga River water quality in Patna, including seasonal variation studies and pollution source identification.
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B.Tech (2010–2014): Explored sustainable construction techniques using waste materials in road projects.
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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.
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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
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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
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Groundwater quality assessment in Korba Coalfield region, India: GIS and HPI model, Nature Environment and Pollution Technology, 2023 – 16 citations
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Hydrogeochemical quality investigation using multivariate methods, WQIs, and health risk assessment in Korba, Stochastic Environmental Research and Risk Assessment, 2025 – 11 citations
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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
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Significant Research Contributions Early in Career
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Despite being early in his academic career, Dr. Dheeraj has published multiple peer-reviewed papers in high-impact journals, with 76 citations since 2020.
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His work demonstrates consistent productivity and influence in the fields of environmental engineering and mine water management.
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Innovative and Interdisciplinary Research Approach
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Employs advanced multivariate statistical methods, GIS, water quality indices (WQIs), and health risk assessments to evaluate groundwater and surface water in mining-impacted areas.
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Integrates environmental engineering, geospatial analysis, and public health considerations, showing creativity and forward-thinking in problem-solving.
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Practical Impact and Policy Relevance
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Research addresses real-world environmental challenges, such as heavy metal contamination and groundwater pollution in coalfield regions.
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Provides actionable insights for policymakers and environmental management authorities, bridging the gap between research and societal benefit.
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Early Recognition and Academic Excellence
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Achieved notable academic milestones including GATE qualification, top ranks in M.Tech, and scholarships for M.Tech and Ph.D. studies.
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Reviewed for high-impact journals, reflecting trust in his expertise even as a young researcher.
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Active Engagement in Research Community and Skill Development
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Participated in workshops, FDPs, and conferences on GIS, water quality modeling, and environmental monitoring.
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Mentored students and facilitated knowledge sharing, showing leadership and commitment to fostering future research talent.
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Protected: Isabel das Mercês Costa, Engineering, Best Innovator Award
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):
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Total Documents: 7
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Total Citations: 208 (from 183 citing documents)
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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
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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. -
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. -
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. -
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. -
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
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.
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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
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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. -
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. -
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. -
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. -
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
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
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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.
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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
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Conducting ongoing Ph.D. research on waste-derived geopolymer stabilization of pavement base courses.
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Performing laboratory testing that includes unconfined compressive strength, resilient modulus, microstructure imaging, and durability evaluation.
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Publishing high-quality research articles in peer-reviewed journals indexed in SCI and Scopus.
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Presenting research outcomes at international conferences on transportation infrastructure and sustainable pavement systems.
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Collaborating with academic peers in civil engineering research groups working on waste utilization and pavement material innovation.
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Continuously updating skills in emerging technologies and modern pavement assessment methodologies.
Top Noted Publications
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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.
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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.
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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.