Prasoon Prasenan P | Civil Engineering | Best Academic Researcher Award

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Assist. Prof. Dr. Prasoon Prasenan P | Civil Engineering | Best Academic Researcher Award

College of Engineering Kidangoor | India

Dr. Prasoon Prasenan P is a distinguished civil engineer and academician with a strong portfolio in structural engineering, project management, and infrastructure consultancy. He holds advanced qualifications in civil engineering, structural engineering, and project management, supported by extensive teaching experience and long-standing professional practice. His research contributions encompass structural behavior, sustainable construction materials, and innovative engineering techniques, reflected through published papers, patents, and technical projects, with a citation count of 6, an h-index of 1, an i10-index of 0, and documented scholarly outputs indexed in leading scientific databases. He has authored and co-authored valuable academic resources, including a notable book on construction materials and techniques, and has delivered expert lectures to large academic and professional communities. His professional footprint includes consultancy services for multiple government departments, focusing on infrastructure development, water systems, land management, and public works. His achievements include several patents at national and international levels, demonstrating his commitment to innovation in engineering solutions. He is an active member of prestigious professional bodies that support advancements in technical education and engineering practice. His ongoing interests lie in structural design, construction technology, sustainable engineering, and applied research, continuing to contribute to academic excellence and engineering development.

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Featured Publications

Prasoon, P. P., & Kumar, M. R. (2022). Basalt fibre reinforced polymer for strengthening of self-compacting concrete compression member. Civil Engineering and Architecture, 10(3), 830–835.

Prasoon, P. P., & Kumar, M. R. (2020). Durability properties of self-compacting concrete incorporating recycled high-density polyethylene plastics. International Journal of Advanced Research in Engineering & Technology, 11(11).

Prasoon, P. P., Kumar, M. S. R., & Vaisakh, G. (2018). Experimental investigation on effect of partial replacement of coarse aggregate by plastic aggregate on M40 grade self-compacting concrete. International Journal of Civil Engineering and Technology, 9(6), 964–970.

Ananth, T., Prasoon, M. P. P., Vijayakumar, M. C., & Das, K. M. (n.d.). Partial replacement of cement with sugar cane bagasse ash and hybrid fibers.

Shivalingaswamy T | Physics | Best Academic Researcher Award

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Prof. Shivalingaswamy T | Physics | Best Academic Researcher Award

Maharani’s Science College for Women | India

Dr. Shivalinga Swamy T is a distinguished physicist with significant contributions to quantum theory, nuclear physics, and advanced computational methods. He holds foundational degrees in physics leading to a doctoral dissertation focused on bound-state and scattering problems in quantum systems, supervised by a renowned expert in the field. His academic journey includes extensive specialized training in experimental physics, quantum mechanics, cryogenics, nanoscience, and advanced pedagogical methods, enhancing both his research and teaching capabilities. With a long-standing career in higher education, he has served in progressive roles from lecturer to professor, along with key administrative responsibilities such as evaluation, curriculum development, examination management, and academic governance across various institutions. His research interests span quantum mechanics, approximation methods, anharmonic oscillators, computational simulations, and nanomaterials, supported by a completed funded research project and ongoing Ph.D. supervision. He has authored research output that has received 2 citations, 1 indexed document, and carries an h-index of 1. His innovative physics experiments have repeatedly earned recognition at national conventions, along with awards for teaching excellence, research contributions, and scientific innovation. As an active member and leader in multiple professional physics bodies, he continues to advance physics education and research with dedication and impact.

Profile: Scopus | Orcid

Featured Publications

Kempaiah, A., Palakshamurthy, B. S., & Shivalingaswamy, T. (2025). Effect of charge compensators (Na⁺, Mg²⁺, Bi³⁺) on the photoluminescence properties of ZnAl₂O₄:Sm³⁺ orange-red light emitting nanophosphor. Nano Trends. https://doi.org/10.1016/j.nwnano.2025.100115

Shivalingaswamy, T., & Kagali, B. A. (2023). Relativistic approach to scattering. Nuclear and Particle Physics Proceedings. https://doi.org/10.1016/j.nuclphysbps.2023.07.026

Amal, F., Shivalingaswamy, T., & Kagali, B. A. (2023). A modified Bohr’s quantization rule to estimate the energy levels of relativistic systems. Physica Scripta. https://doi.org/10.1088/1402-4896/acef76

Jagadeesha, K., Ramu, Y. L., Shivalingaswamy, T., & Ramegowda, M. (2022). Theoretical investigations of state specific hydrogen atom transfer in 8-formyl-7-hydroxy-4-methylcoumarin. Asian Journal of Chemistry. https://doi.org/10.14233/ajchem.2022.23464

Uma V | Materials Science | Women Researcher Award

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Dr. Uma V | Materials Science | Women Researcher Award

Government Thirumagal Mill’s College | India

Dr. V. Uma is a dedicated physics educator and researcher specializing in advanced functional materials, particularly multiferroic nanomaterials and thin-film systems. She serves as a Guest Lecturer in the Department of Physics at Government Thirumagal Mills College, where she has handled extensive teaching responsibilities across UG and PG programs, guided numerous student projects, and delivered lectures in areas such as material science, microprocessors, electronics, nuclear physics, and numerical methods. Her academic background includes a Ph.D. in Physics focused on the synthesis and characterization of bismuth iron oxide nanomaterials, supported by an M.Phil. in Physical Sciences, M.Sc. in Physics, and a B.Ed. in Physical Science, along with qualification in the State Eligibility Test. Her research expertise covers nanomaterial synthesis using sol-gel, hydrothermal, microwave combustion, and thin-film deposition techniques, along with characterization skills in XRD, FTIR, UV, VSM, SEM, dielectric studies, and electrochemical analysis. She has published impactful research contributions with a citation count of 8, two indexed documents, and an h-index of 2, demonstrating emerging recognition within the scientific community. She has actively participated and presented in several national and international conferences in materials science. Her work reflects strong commitment toward innovative research, quality teaching, and the advancement of materials science applications.

Profile: Scopus

Featured Publications

Uma, V., & Seenuvasakumaran, P. (2023). Synthesis, structural, microstructural, optical, magnetic and dielectric properties of Nd-doped multiferroic Bismuth iron oxide. Results in Materials. https://doi.org/10.1016/j.rinma.2022.100359

Sachin Dhawale | Medicinal Chemistry | Best Researcher Award

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Assoc. Prof. Dr. Sachin Dhawale | Medicinal Chemistry | Best Researcher Award

Shreeyash Institute of Pharmaceutical Education and Research | India

Dr. Sachin Ashok Dhawale is a dedicated researcher in medicinal chemistry and pharmaceutical sciences, recognized for his contributions to drug design, molecular modeling, and synthetic chemistry. With a strong academic foundation including a PhD in Pharmacy, M.Pharm in Pharmaceutical Chemistry, and a B.Pharm degree, he has built extensive experience across academic and research environments, serving in teaching positions and contributing to funded research projects as a JRF and SRF under national scientific bodies. His scientific impact is reflected in 136 citations, an h-index of 6, and an i10-index of 4, supported by more than 25 Scopus-indexed publications, several as first or corresponding author, and cumulative impact exceeding 50. His research spans anticancer agents, antimicrobial molecules, molecular docking, natural product-based therapeutics, ADMET studies, and computational chemistry approaches. He has guided multiple undergraduate and postgraduate research projects, presented papers at national and international conferences, and published a specialized book on computer-aided drug design. His work has earned several recognitions including first-prize awards at competitive scientific events and fellowship support from national and state agencies. With expertise in advanced cheminformatics tools and synthetic techniques, he continues to contribute to innovative therapeutic discovery aimed at improving human health.

Profile: Google Scholar | Orcid

Featured Publications

Gandla, K., Islam, F., Zehravi, M., Karunakaran, A., Sharma, I., Haque, M. A., … Dhawale, S. A. (2023). Natural polymers as potential P-glycoprotein inhibitors: Pre-ADMET profile and computational analysis as a proof of concept to fight multidrug resistance in cancer. Heliyon, 9(9).

Singu, P. S., Kanugala, S., Dhawale, S. A., Kumar, C. G., & Kumbhare, R. M. (2020). Synthesis and pharmacological evaluation of some amide functionalized 1H-benzo[d]imidazole-2-thiol derivatives as antimicrobial agents. ChemistrySelect, 5(1), 117–123.

Dube, P. N., Sakle, N. S., Dhawale, S. A., More, S. A., & Mokale, S. N. (2019). Synthesis, biological investigation and docking study of novel chromen derivatives as anti-cancer agents. Anti-Cancer Agents in Medicinal Chemistry, 13.

Gawai, A. A., Kharat, A. R., Chorge, S. S., & Dhawale, S. A. (2023). Green synthesis of silver nanoparticles mediated Azadirachta indica extract and study of their characterization, molecular docking, and antibacterial activity. Journal of Molecular Recognition, 36(10), e3051.

Suryawanshi, R. M., Shimpi, R. B., Muralidharan, V., Nemade, L. S., Gurugubelli, S., … Dhawale, S. A. (2025). ADME, toxicity, molecular docking, molecular dynamics, glucokinase activation, DPP-IV, α-amylase, and α-glucosidase inhibition assays of mangiferin and friedelin for antidiabetic potential. Chemistry & Biodiversity, 22(5), e202402738.

Sivakamasundari | Computer Science | Best Researcher Award

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Ms. Sivakamasundari | Computer Science | Best Researcher Award

SRM Institute of Science and Technology | India

Ms. P. Sivakamasundari is a dedicated academic and researcher in Computer Science and Engineering, recognized for her contributions to deep learning-based medical image analysis. With qualifications spanning Diploma, Bachelor’s, and Master’s degrees in Computer Science and Engineering, she is currently pursuing her Ph.D. at SRM Institute of Science and Technology. She has extensive teaching experience as an Assistant Professor for more than a decade, during which she has guided students in core computing subjects including algorithms, computation theory, compiler design, and image classification. Her research focuses on advanced deep learning frameworks for healthcare applications, particularly diabetic retinopathy and diabetic foot ulcer detection, resulting in book chapters, conference publications, and journal manuscripts under review. She has published and filed patents related to medical imaging and automated disease detection systems, demonstrating her innovation-driven approach. Her scholarly presence includes 1 citation, 1 h-index, and 0 i10-index, indicating emerging research visibility. She has completed multiple professional certifications and participated in workshops, FDPs, and internships in machine learning, biometrics, accelerated computing, and high-performance healthcare analytics. Her work reflects strong commitment toward applying AI for societal benefit, and she continues to advance her expertise through active research and academic contributions.

Profile: Google Scholar

Featured Publications

Sivakamasundari, P., Anandhi, S., Kumaran, A. A., Vijayakumar, K., Birnica, Y. J., & others. (2024). Early detection of glaucoma utilizing retinal nerve fiber layer (RNFL) investigation. International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems.

Sivakamasundari, P., & Niranjana, G. (2025). An automatic detection and classification of diabetic foot ulcers using Chebyshev chaotic ladybug beetle optimized extended Swin Transformer–InceptionV3 model. Biomedical Signal Processing and Control, 110, 108268.

Gomathi, G., Sumathy, V., Sivakamasundari, P., & Deepa, R. (2024). A various approaches of machine learning algorithms for kidney disease prediction. International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems.

Sivakamasundari, P., & Niranjana, G. (2024). Diabetic foot ulcer classification using deep learning approach. International Conference on Computer, Communication and Signal Processing (ICCCSP).

Sivakamasundari, P., & Niranjana, G. (2023). A critique on deep learning methodologies employed for the identification of diabetic retinopathy using fundus images. Intelligent Computing and Control for Engineering and Business Systems (ICCEBS).

Subhodeep Moitra | Artificial Intelligence | Young Researcher Award

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Mr. Subhodeep Moitra | Artificial Intelligence | Young Researcher Award

Techno College Hooghly | India

Subhodeep Moitra is a computer science researcher focused on advancing artificial intelligence through the fusion of human-like visual perception and cognition. His academic foundation spans computer applications at both undergraduate and postgraduate levels, where he built strong expertise in machine learning, deep learning, computer vision, neural networks, adversarial robustness, and cognitive modeling. His research explores self-supervised reconstruction, adversarial recovery, AGI-oriented theoretical computing, medical prediction systems, and environmental forecasting, with publications in journals, conferences, preprint platforms, and book chapters. He has contributed to projects ranging from temperature forecasting and brain-stroke detection to adversarially robust autoencoders and AGI theory. His professional experience includes serving as a visiting faculty member, teaching programming, mentoring research projects, and engaging in active collaborative work. His technical skills extend across Python, deep learning frameworks, MERN stack development, and cloud-based AI tools, supported by multiple certifications from NASA, NVIDIA, CERN, IBM, Oracle, and Coursera. He has presented papers at international conferences and earned best paper presentation awards for his contributions in machine learning–driven forecasting and adversarial perception. His long-term research interest lies in building unified AI systems capable of perceiving, reasoning, and adapting with human-inspired intelligence, aiming to push the boundaries of next-generation cognitive AI.

Profile: Google Scholar

Featured Publications

Moitra, S., & Banerjee, D. (n.d.). Robustness as Latent Symmetry: A Theoretical Framework for Semantic Recovery in Deep Learning. OSF.

Moitra, S., & Banerjee, D. (n.d.). Are We Even on the Right Track? A Theoretical Framework for AGI Beyond Classical Computation. Authorea Preprints.

Moitra, S., & Banerjee, D. (n.d.). Skip the Chaos: A Self-Supervised Learning-Powered Autoencoder for Adversarial Recovery. OSF.

Pintu, P., Subhodeep, M., & Deblina, B. (n.d.). The mystery of Neural Network: Linked with quantum mechanics and universe. ResearchGate.

Pal, P., Moitra, S., & Banerjee, D. (n.d.). The mystery of Neural Network: Linked with quantum mechanics and universe.

Vinod Kumar S | Agricultural Engineering | Best Researcher Award

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Dr. Vinod Kumar S | Agricultural Engineering | Best Researcher Award

ICAR-Indian Agricultural Research Institute, New Delhi | India

Dr. Vinod Kumar S is a soil and water conservation engineer whose academic journey has led him through a B.Tech and M.Tech in Agricultural Engineering (with CGPAs of 7.64 and 9.25 respectively), culminating in a Ph.D. in Soil and Water Conservation Engineering (CGPA 8.13) from the ICAR-IARI New Delhi outreach campus. His research portfolio spans sensor-based vertical farming and aquaponic systems, IoT-driven precision drip irrigation and fertigation protocols, remote sensing and GIS for crop monitoring, and greenhouse automation. With published work including smart drip irrigation systems for horticultural crops and indoor aquaponics, his h-index stands at 4 with over 100 citations to date.Dr. Kumar has held positions such as Senior Research Fellow and Research Associate at ICAR-institutes, developing nano-sensors and cloud-based networks for real-time irrigation and innovative aquaponic solutions. His contributions have been recognised with awards including Best Oral Presentation and Best Poster at national conferences. He is passionate about enhancing water-nutrient productivity in sustainable agriculture through technology integration and concludes his research vision by aiming to bridge engineering innovation with agro-ecological resilience for food security.

Profile: Google Scholar

Featured Publications

Kumar, V., Singh, C. D., Rao, K. V. R., Kumar, M., Rajwade, Y. A., Babu, B., & Singh, K. (2023). Evaluation of IoT-based smart drip irrigation and ETc-based system for sweet corn. Smart Agricultural Technology, 5, 100248. https://doi.org/10.1016/j.atech.2023.100248

Singh, C. D., Rao, K. V., Kumar, M., Rajwade, Y. A., & Kumar, V. (2023). Development of a smart IoT-based drip irrigation system for precision farming. Irrigation and Drainage, 72(1), 21–37. https://doi.org/10.1002/ird.2734

Vinod Kumar, S., Singh, C. D., Rao, K. V. R., Rajwade, Y. A., Kumar, M., & Babu, B. (2025). IoT-based smart drip irrigation scheduling and wireless monitoring of microclimate in sweet corn crop under plastic mulching. Irrigation Science, 43(5), 1107–1126. https://doi.org/10.1007/s00271-024-00945-3

Kumar, S. V., Singh, C. D., & Upendar, K. (2020). Review on IoT-based precision irrigation system in agriculture. Current Journal of Applied Science and Technology, 39(45), 15–26. https://doi.org/10.9734/cjast/2020/v39i4531148

Bhat, A. G., Hasan, M., Singh, D. K., Sahoo, R. N., Yeasin, M., & Vinod, K. S. (2025). Design, development and testing of an IoT-based smart vertical hydroponic system for optimized nutrient management in a controlled environment. Irrigation and Drainage. https://doi.org/10.1002/ird.70105

Shanmugam S | Machine Learning | Best Researcher Award

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Dr. Shanmugam S | Machine Learning | Best Researcher Award

SRM Institute of Science and Technology | India

Dr. Shanmugam S is an academic and researcher in the field of computing technologies with a focus on Artificial Intelligence and Machine Learning. His scholarly portfolio reflects professional engagement with advanced areas including Soft Computing, Transfer Learning, and Quantum Computing. He has completed his doctoral research in Information and Communication, supported by previous postgraduate and undergraduate education in computer science and information technology disciplines. His publication record includes 24 research documents, with 342 citations received from 322 referencing documents, supported by an h-index of 8, highlighting the relevance and impact of his contributions in the research community. He has accumulated significant teaching and research experience, handling courses such as Data Structures, Object-Oriented Programming, Big Data for Machine Learning, Software Engineering, Business Computing, and Philosophy of Engineering. His efforts extend to guiding students, contributing to departmental academic activities, and participating in various scholarly workshops, seminars, and conferences. His research interests continue to explore emerging computational paradigms and their applications in solving real-world challenges. He has received recognition for academic and research contributions, reinforcing his professional standing. Overall, his work contributes to the advancement of intelligent systems and computational innovation.

Profile: Scopus

Featured Publications

Role of hydroxychloroquine in primary glomerular disease – a systematic review and meta-analysis of the current evidence. BMC Nephrology. (2025).

Exploring the ability of emerging large language models to detect cyberbullying in social posts through new prompt-based classification approaches. Information Processing and Management. (2025).

Deepana G | Engineering | Best Researcher Award

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Dr. Deepana G | Engineering | Best Researcher Award

S A Engineering College | India

Dr G. Deepana is an Assistant Professor in Civil Engineering whose research expertise spans ferrocement technology, sustainable concrete composites, waste‐based materials and structural durability. She has earned a PhD in Civil Engineering from Anna University, after completing an M.E. in Structural Engineering and a B.E. in Civil Engineering. With key interest areas including concrete technology, structural materials and design of reinforced concrete elements, she has published in leading peer‐reviewed journals (for example, on structural behaviour of ferrocement wall panels) and numerous conference proceedings. According to Google Scholar she currently holds an h-index of 2 with a total citation count of 11. She has also been granted multiple patents for eco-friendly concrete and brick products, serves as a peer reviewer in esteemed journals, and brings hands-on teaching and laboratory experience in material testing, environmental engineering and structural labs. Recognised for her academic achievements and awards, she actively contributes to teaching, mentoring and research in civil engineering. With adoption of innovative materials, waste-utilisation and durable design as guiding themes, she aims to prepare future engineers for both academic excellence and professional impact.

Profiles: Google Scholar

Featured Publications

Deepana, G. (2019). Synthesis and characterization of silica from Zea mays. International Journal of Engineering Research and Technology, 8(3), 311–316.

Deepana, G., Kamaraj, L., Ganapathi, S., Venkatesh, R., & Amarnath, M. K. (2024). Synthesis and machining characteristics study of agro-waste coconut shell powder incorporated aluminium alloy composite via the squeeze cast technique. International Journal of Cast Metals Research, 37(4–6), 276–286.

Gopal, D., & Shobarajkumar, D. (2024). Comparative study on structural behavior of ferrocement wall panels. Earthquake Engineering & Structural Dynamics, 53(5), 1727–1741.

Vijayaraj, A., Shreya, S., Deepana, G., Senthilvel, P. G., & Jebakumar, R. (2023). Organic and recyclable waste classification using integrated feature selection method. In Proceedings of the 2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering. IEEE.

Amarnaath, S., & Deepana, G. (2024). Integrating sustainable development goals into business, marketing, finance and engineering for a better world. In Proceedings of the 2024 International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG) (pp. 1–8). IEEE.

Uppula Ramya | Composite Materials | Women Researcher Award

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Mrs. Uppula Ramya | Composite Materials | Women Researcher Award

SR University | India

Dr. U. Ramya is a research scholar in Mechanical Engineering at SR University, Warangal, specializing in advanced composite materials. She holds a Ph.D. in Mechanical Engineering (Composite Materials) from SR University, an M.Tech in Design Engineering from Kakatiya Institute of Technology & Science, and a B.Tech in Mechanical Engineering from SR Engineering College. With substantial experience as an Assistant Professor at Jayamukhi Institute of Technological Sciences, she has taught courses in Machine Design, Strength of Materials, Engineering Drawing, and CAD/FEA Analysis while guiding undergraduate projects on composite materials and finite element simulations. Her research focuses on polymer and elastomer composites, including Carbon Fiber Reinforced Liquid Silicone Rubber (CF-LSR), CF-PEEK, nano-reinforced LSR, ceramifiable fillers, high-temperature and dielectric applications, and mechanical and thermal characterization using techniques such as TGA, FTIR, XRD, and DMA. She also applies molecular dynamics simulations to study polymer–filler interactions. Dr. Ramya has published multiple peer-reviewed articles, holds patents on corrosion-resistant and AI-driven polymer composites, and has a Google Scholar citation count of 2 with an h-index of 1. Recognized for her innovation in composite materials, she was nominated for the Best Researcher Award in 2025. Her work contributes to industrial and electrical applications by advancing high-performance, multifunctional composite materials.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Ramya, U., Sammaiah, P., Subbarao, M., Mahesh, V., & Satheesh Kumar, K. (2025). Advancements in carbon fiber reinforced liquid silicone rubber: A scientometric study. Journal of The Institution of Engineers (India): Series C, 106(1), 495–504.

Ramya, U., Sammaiah, P., & Kumar, K. S. (2025). Scientometric analysis of CF-PEEK composites: Research trends and emerging opportunities. Next Research, 2(3), 100513.