Syandan Sinha Ray | Plant Biotechnolgy | Innovative Research Award

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Dr. Syandan Sinha Ray | Plant Biotechnolgy | Innovative Research Award

Ramakrishna Mission Vivekananda Educational and Research Institute, India

Dr. Syandan Sinha Ray is an accomplished scholar in agricultural biotechnology, with strong academic training in biotechnology and advanced research specialization. He serves as a teaching-cum-laboratory assistant, contributing to postgraduate education in areas such as molecular biology, genetic engineering, and bioinformatics. His research focuses on plant tissue culture, microbial applications, and sustainable agricultural innovations, supported by multiple publications and scholarly contributions. He has qualified a national-level eligibility test, reflecting his academic excellence. His work continues to advance scientific knowledge and practical applications in agricultural biotechnology.

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Featured Publications

Partha Majumder | Human Genetics | Lifetime achievement Award

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Prof. Partha Majumder | Human Genetics | Lifetime achievement Award

John C. Martin Center for Liver Research & Innovations/Indian Statistical Institute | India

Prof. Partha Majumder is a globally respected leader in human genetics, celebrated for shaping modern population genomics and advancing the scientific understanding of human diversity, disease risk, and evolutionary patterns. With an outstanding research record supported by 16,578+ citations, an h-index of 58, and 214+ indexed publications, his scholarly influence spans population-based genomic variation, statistical genetics, precision medicine, and computational modeling. He has authored foundational studies that transformed views on genetic structure across South Asian populations, and his contributions have been widely recognized through major scientific honors and memberships in premier academies. Prof. Majumder’s academic journey includes rigorous training in statistics and genetics, leading to prestigious appointments across India and internationally, where he has guided institutions, established key genomic research programs, and mentored several generations of scientists. His research interests center on human evolutionary genetics, disease genomics, biomedical statistics, and ethical frameworks for genomic data use. His experience encompasses leadership roles in national genome initiatives, advisory committees, and collaborative global consortia. Deeply committed to science-driven societal impact, Prof. Majumder continues to inspire through his relentless pursuit of knowledge, impactful discoveries, and enduring contributions to the growth and integrity of human genetics research.

Profile: Google Scholar

Featured Publications

Regev, A., Teichmann, S. A., Lander, E. S., Amit, I., Benoist, C., Birney, E., … Human Cell Atlas. (2017).
The human cell atlas. eLife, 6, e27041. https://doi.org/10.7554/eLife.27041

HUGO Pan-Asian SNP Consortium, Abdulla, M. A., Ahmed, I., … Majumder, P. P. (2009). Mapping human genetic diversity in Asia. Science, 326(5959), 1541–1545. https://doi.org/10.1126/science.1177074

Sengupta, S., Zhivotovsky, L. A., King, R., Mehdi, S. Q., Edmonds, C. A., Chow, C. E. T., … Majumder, P. P. (2006). Polarity and temporality of high-resolution Y-chromosome distributions in India identify both indigenous and exogenous expansions and reveal minor genetic influence of Central Asia. The American Journal of Human Genetics, 78(2), 202–221. https://doi.org/10.1086/499411

Basu, A., Mukherjee, N., Roy, S., Sengupta, S., Banerjee, S., Chakraborty, M., … Majumder, P. P. (2003).
Ethnic India: A genomic view, with special reference to peopling and structure. Genome Research, 13(10), 2277–2290. https://doi.org/10.1101/gr.1413403

Underhill, P. A., Myres, N. M., Rootsi, S., Metspalu, M., Zhivotovsky, L. A., King, R. J., … Majumder, P. P. (2010). Separating the post-Glacial coancestry of European and Asian Y chromosomes within haplogroup R1a. European Journal of Human Genetics, 18(4), 479–484. https://doi.org/10.1038/ejhg.2009.194

Padmini Sankaramurthy | Energy | Research Excellence Award

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Dr. Padmini Sankaramurthy | Energy | Research Excellence Award

SRM Institute of Science and Technology | India

Dr. S. Padmini is an accomplished academic and researcher with a strong foundation in Electrical and Electronics Engineering, advanced training in Power Systems Engineering, and doctoral work centered on intelligent algorithms for hydrothermal scheduling, further strengthened by an ongoing postdoctoral fellowship in multidisciplinary AI applications. With extensive teaching and research experience in a premier institution, she has contributed significantly to curriculum development, research supervision, academic leadership, and large-scale institutional activities. Her scholarly output includes publications indexed in major databases, patents, major project proposals, international collaborations, and diverse technical contributions across intelligent systems, power systems optimization, energy economics, and AI-driven engineering solutions. She has delivered numerous courses, created substantial digital learning resources, and guided students at multiple academic levels. Her research has earned citations totalling 341, along with an h-index of 10 and an i10-index of 10, demonstrating meaningful global impact. She is recognized for excellence through multiple awards, including distinguished scientific honours, innovation-driven recognitions, and accolades for academic contributions. Her ongoing collaborations across global universities reflect her commitment to advancing multidisciplinary research. Dr. Padmini’s work continues to integrate engineering intelligence, sustainable energy solutions, and advanced computational methods to support emerging technological needs and societal progress.

Profiles: Google Scholar | Orcid | Scopus

Featured Publication

Jeevadason, A. W., Padmini, S., Bharatiraja, C., & Kabeel, A. E. (2022). A review on diverse combinations and Energy-Exergy-Economics (3E) of hybrid solar still desalination. Desalination, 527, 115587.

Rebecca, B., Kumar, K. P. M., Padmini, S., Srivastava, B. K., Halder, S., & Boopathi, S. (2024). Convergence of Data Science-AI-Green Chemistry-Affordable Medicine: Transforming Drug Discovery. In Handbook of Research on AI and ML for Intelligent Machines and Systems (pp. 348–373).

Venkatesh, B., Sankaramurthy, P., Chokkalingam, B., & Mihet-Popa, L. (2022). Managing the demand in a micro grid based on load shifting with controllable devices using hybrid WFS2ACSO technique. Energies, 15(3), 790.

Lakshmi, K., Amaran, S., Subbulakshmi, G., Padmini, S., Joshi, G. P., & Cho, W. (2025). Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images. Scientific Reports, 15(1), 690.

Sankaramurthy, P., Chokkalingam, B., Padmanaban, S., Leonowicz, Z., … Padmini, S. (2019). Rescheduling of generators with pumped hydro storage units to relieve congestion incorporating flower pollination optimization. Energies, 12(8), 1477.

Rishabh Chalotra | Metabolic Disorders | Young Researcher Award

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Mr. Rishabh Chalotra | Metabolic Disorders | Young Researcher Award

Central University of Punjab | India

Rishabh Chalotra is a CSIR-Senior Research Fellow and doctoral scholar at the Laboratory of Neuroendocrinology and Metabolic Disorders, Department of Pharmacology, Central University of Punjab. His research focuses on addressing the complexities of Metabolic Syndrome through preclinical studies, exploring the therapeutic potential of natural phytoconstituents, and developing herbal-based solutions for improved clinical outcomes. He holds a Master’s degree in Pharmacology and a Bachelor’s degree in Pharmacy, with extensive experience in animal models, biochemical assays, pharmacokinetic studies, ELISA, RT-PCR, flow cytometry, and other advanced laboratory techniques. Rishabh has contributed to 18 peer-reviewed articles, six book chapters, and four patents, with his work cited 127 times, reflecting an h-index of 6 and an i10-index of 5. His publications explore metabolic disorders, diabetic complications, neurodegenerative diseases, and drug discovery, highlighting the role of flavonoids and natural compounds in therapeutic interventions. He has received the Young Investigator Award from the Indian Pharmacological Society and is a lifetime member of professional societies including the Indian Pharmacological Society, American Society for Microbiology, and British Pharmacological Society. His research combines experimental pharmacology with translational applications to bridge knowledge gaps and improve patient outcomes, positioning him as a promising contributor to global pharmacological research.

Profile: Google Scholar

Featured Publication

Chauhan, S., Chalotra, R., Rathi, A., Saini, M., Deol, S., Lard, M., & Gupta, S. (2023). Current approaches in healing of wounds in diabetes and diabetic foot ulcers. Current Bioactive Compounds, 19(3), 104–121.

Chalotra, R., Gupta, T., Chib, S., Amanat, M., Kumar, P., & Singh, R. (2024). Treatment of diabetic complications: Do flavonoids hold the keys? Critical Reviews in Food Science and Nutrition, 64(30), 11091–11112.

Maqbool, M., Chaudhary, K., Chalotra, R., Chauhan, S., & Dahiya, R. S. (2024). Phyto-pharmacology of most common Indian culinary spices and their potential in developing new pharmaceutical therapies. Current Traditional Medicine, 10(2), 117–140.

Sharma, K., Chib, S., Gupta, A., Singh, R., & Chalotra, R. (2024). Interplay between α-synuclein and parkin genes: Insights of Parkinson’s disease. Molecular Biology Reports, 51(1), 586.

Chib, S., Dutta, B. J., Chalotra, R., Abubakar, M., Kumar, P., Singh, T. G., & Singh, R. (2025). Role of flavonoids in mitigating the pathological complexities and treatment hurdles in Alzheimer’s disease. Phytotherapy Research, 39(2), 747–775.

Anupam Kanti Bag | Pharmacology | Best Researcher Award

Published-on by Indian Scientist

Dr. Anupam Kanti Bag | Pharmacology | Best Researcher Award

Dr. B.C. Roy College of Pharmacy and Allied Health Sciences |India

Dr. Anupam Kanti Bag is an accomplished pharmacology professional with strong academic and research credentials, reflected through 142 citations, an h-index of 3, and 3 i10-index publications, demonstrating consistent scholarly impact. His expertise spans microscopy, molecular biology, behavioral analysis, molecular docking, and network pharmacology, supported by extensive laboratory experience and a solid background in pharmaceutical sciences. He has significantly contributed to innovation through multiple national and international patents in drug formulation, medical device design, and pharmacokinetic enhancement, along with authoring books and contributing chapters in emerging areas of neurodegenerative disease research. His funded research work includes projects focusing on phytochemical formulations and nano-based therapeutic applications. Dr. Bag has served in various academic, administrative, and accreditation roles, including NAAC/NBA coordination, placement operations, exam cell management, and institutional leadership responsibilities across reputed pharmacy colleges. His technical skills extend to tools such as Pyrex, Pymol, Chimera, and Biovia Studio, combined with proficiency in cell culture handling, gene assays, ADR reporting, and laboratory instrumentation. Recognized with awards for academic excellence, mentoring, and scientific presentations, he continues to contribute to the advancement of pharmacology research with dedication to innovation, collaboration, and student development.

Profile: Google Scholar

Featured Publications

Bag, A. K., & Mumtaz, S. M. F. (2013). Hepatoprotective and nephroprotective activity of hydroalcoholic extract of Ipomoea staphylina leaves. Bangladesh Journal of Pharmacology, 8(3), 263–268.

Subramaniyan, V., Shaik, S., Bag, A., Manavalan, G., & Chandiran, S. (2018). Potential action of Rumex vesicarius (L.) against potassium dichromate and gentamicin-induced nephrotoxicity in experimental rats. Pakistan Journal of Pharmaceutical Sciences, 31(2), 509–516.

Mumtaz, S. M. F., Paul, S., & Bag, A. K. (2013). Effect of Sechium edule on chemical-induced kidney damage in experimental animals. Bangladesh Journal of Pharmacology, 8(1), 28–35.

Bag, A. K., & Hiremath, S. R. R. (2023). Neuropathic pain and its management. Indian Journal of Pharmacy Practice, 16(3).

Verma, P., Munirangappa, H., Bag, A. K., & Purushottam, H. (2023). Amelioration of hyperglycemia by hydroalcoholic extract of leaves of Ecbolium viride against experimental type II model in rats.

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

Kumar Rahul | Artificial Intelligence | Innovative Research Award

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Dr. Kumar Rahul | Artificial Intelligence | Innovative Research Award

NIFTEM | India

Dr. Kumar Rahul is an Assistant Professor in the Department of Interdisciplinary Sciences at the National Institute of Food Technology Entrepreneurship and Management (NIFTEM), Sonepat, combining his expertise in software engineering, big-data analytics and food-technology research. With a Ph.D. in Computer Science and Engineering focused on enhanced data cleaning and outlier-detection using hybrid meta-heuristics, and earlier degrees in software engineering (M.E.) and computer applications (BCA/MCA), his career spans roles in both academia and engineering. He has authored numerous peer-reviewed articles (including systematic reviews on big-data/AI, applications of AI and ML in food-industry and healthcare, hybrid meta-heuristic models, data-cleaning frameworks) and holds patents in sensor-network water-quality monitoring and deep–learning corner-detection algorithms. His Google Scholar h-index stands at 10 with over 500 citations, reflecting his growing research impact. His research interests include artificial intelligence and machine learning for food processing, big-data analytics and industrial systems, IoT/Edge–Fog–Cloud applications, and optimization/meta-heuristic techniques for outlier or anomaly detection. He has also contributed to applied projects such as mobile-app development for fruit-freshness checking and served as Co-PI on a funded initiative in the food-technology domain. His work has been recognised through awards including UGC-NET (LS) and strong GATE performance, and he actively participates in faculty development programs and serves as a resource-person on topics such as IoT in industries and agri-startups. In summary, Dr. Rahul brings a multidisciplinary blend of computer-science rigor and domain-specific application in food-technology, making him a valuable contributor to research and education in smart food systems and analytics.

Profile: Scopus

Featured Publications

Rahul, K., & Banyal, R. K. (Erratum). Retraction Note: Firefly algorithm: an optimization solution in big data processing for the healthcare and engineering sector [Retraction note]. International Journal of Speech Technology, 24(3), 581–592. https://doi.org/10.1007/s10772-020-09783-y

Rahul, K., Arora, N., & Arora, S. (2025). Effectiveness of blockchain and IoT in horticulture crop supply chain. In B. Sharma, D.-T. Do, S. N. Sur, & C.-M. Liu (Eds.), Advances in Communication, Devices and Networking. Springer Nature.

Major Singh Goraya | Computer Science | Best Researcher Award

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Prof. Major Singh Goraya | Computer Science | Best Researcher Award

Sant Longowal Institute of Engineering and Technology | India

Dr. Major Singh Goraya is a Professor in the Department of Computer Science and Engineering at Sant Longowal Institute of Engineering and Technology (SLIET), Longowal. He holds a Ph.D. from Punjabi University, complemented by strong academic foundations in computer engineering. His primary research areas include cloud computing, resource management, green computing, fault tolerance, and load balancing. With 27 Scopus-indexed publications, 460 citations across 399 documents, and an h-index of 10, Dr. Goraya has made consistent scholarly contributions to high-performance and sustainable computing. His studies have explored dynamic resource allocation, energy-efficient scheduling frameworks, and deep learning-based optimization techniques. He has supervised several Ph.D. and M.Tech. research scholars and continues to guide emerging researchers in cloud resource efficiency and intelligent computation. His international exposure through conferences in the UK, Canada, and Malaysia reflects his active engagement in global research forums. In addition, he has successfully organized numerous academic workshops, conferences, and training programs. Dr. Goraya’s innovative contributions strengthen the integration of artificial intelligence and cloud technology, promoting scalable and eco-efficient computational solutions that advance modern computer engineering research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Goyal, N., Singh, T., & Goraya, M. S. (2025). Deep convolutional neural networks vs. vision transformers for video-based human activity recognition. In Proceedings of Lecture Notes in Computer Science (pp. xx–xx). Springer.

Singh, J., & Goraya, M. S. (2023). An autonomous multi-agent framework using quality of service to prevent service level agreement violations in cloud environment. International Journal of Advanced Computer Science and Applications, 14(3).

Goyal, N., Goraya, M. S., & Singh, T. (2023). An axiomatic analysis for object detection and recognition using deep learning. In Smart Innovation, Systems and Technologies (pp. xx–xx). Springer.

Thakur, A., & Goraya, M. S. (2022). A workload and machine categorization-based resource allocation framework for load balancing and balanced resource utilization in the cloud. International Journal of Grid and High Performance Computing, 14(2).

Hasan, M., Goraya, M. S., & Garg, T. (2022). E-FFTF: An extended framework for flexible fault tolerance in cloud. In Lecture Notes in Networks and Systems (pp. xx–xx). Springer.