Nayan Mani Das | Nanotechnology | Best Researcher Award

Published-on by Indian Scientist

Dr. Nayan Mani Das | Nanotechnology | Best Researcher Award

Sipajhar College | India

Dr. Nayan Mani Das is an accomplished Assistant Professor in the Department of Physics at Sipajhar College, Assam, with extensive experience in nanomaterials, thin-film fabrication, and advanced characterization techniques. With a Ph.D. in Applied Physics and post-doctoral research at premier institutes, he has expertise in graphene-polymer nanocomposites, Langmuir-Blodgett thin films, ZnO microcavities, micro-energy generation, and antimicrobial nanomaterials. His research portfolio encompasses ultrathin film synthesis, polymer-semiconductor hybrids, and electrochemical and optical properties of nanostructures, contributing to innovations in water purification, energy harvesting, and biomedical applications. Dr. Das has published over 20 documents, cited more than 260 times, and holds an h-index of 9, reflecting his impactful contributions to the field. He has been recognized with national and international awards, including travel grants for conferences and best presenter awards. His work has been featured in reputed journals and conferences, and he actively serves as a reviewer for leading journals in nanoscience and applied physics. Dr. Das’s academic and research endeavors demonstrate a commitment to advancing nanotechnology and materials science, mentoring students, and fostering collaborations across institutes. His ongoing projects focus on sustainable materials, energy-efficient devices, and practical applications of nanotechnology, establishing him as a notable contributor in his discipline.

Profile: Scopus

Featured Publications

Nanda Shakti, Mandal, T., Das, N. M., Roy, D., Sunder, S., Kumar, S., & Pal, R. (2024). Growth and electrochemical properties of CuO nanowires-ZnO microrods composite. Hybrid Advances.

Bhuyan, T., Maity, S., Saha, D. R., Das, N. M., & Bandyopadhyay, D. (2022). Pathways to translate the biomedical prototypes. In Advanced Micro- and Nano-manufacturing Technologies: Applications in Biochemical and Biomedical Engineering (pp. 29–56). Springer.

Dolly Jamwal | Behavioural Economics | Research Excellence Award

Published-on by Indian Scientist

Mrs. Dolly Jamwal | Behavioural Economics | Research Excellence Award

Dayalbagh Educational Institute | India

Dolly Jamwal is a multidisciplinary researcher in behavioural economics, psychology, sustainability studies, and consciousness research, with scholarly contributions reflected in 3 citations, an h-index of 1, and multiple peer-reviewed documents indexed in SCOPUS. With advanced academic training in Economics (Multidisciplinary Research), Clinical Psychology, and English Literature, she integrates behavioural insights, emotional intelligence theory, and sustainable consumption behaviour into her research. Her work spans mixed-methods research, computational social science, structural equation modelling, psychometric scale development, and policy-oriented behavioural interventions. She has developed original tools such as the Practical Consciousness Scale, Total Consciousness Equation, Economic Identity Scale, and Sustainable Consumption Behaviour Scale. Her published studies explore socio-economic and psychological well-being, SDG awareness, behavioural nudges, ethical frameworks, and consciousness-based behavioural transformation. She has presented at national and international conferences on behavioural interventions, wellbeing dynamics, sustainable development behaviours, and mindfulness-oriented models. Her professional experience includes research, academic mentorship, qualitative and quantitative analysis, and involvement in social-impact initiatives. Recognised for innovative policy suggestions and academic excellence, her interests include behavioural design, emotional economics, sustainability transitions, and value-driven decision-making. Her work advances interdisciplinary research aimed at fostering positive behavioural change, ethical economic thinking, and sustainable societal development.

Profile: Google Scholar

Featured Publications

Satsangi, R., Jamwal, D., Sharma, S., Manani, P., & Satsangi, D. (2024). Socio-Economic and Psychological Well-Being: An Analytical Study for Sustainable Policy-Making. International Journal of Sustainable Development and Planning, 19(1), 179–185.

Jamwal, D., & Satsangi, R. (2025). Nudge/behavioural-based interventions for reducing polythene bag usage: A case study. Acta Psychologica, 258, 105163.

Sharma, S., Manani, P., Thakwani, M., Satsangi, R., Sharma, P., & Jamwal, D. (2024). Level of awareness on the sustainable development goals among Indian youth: Empirical evidence from Northern India. Edelweiss Applied Science and Technology, 8(4), 2356–2368.

Kumar Rahul | Artificial Intelligence | Innovative Research Award

Published-on by Indian Scientist

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.