Dolly Jamwal | Behavioural Economics | Research Excellence Award

Published-on by Indian Scientist Awards

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.

Priyanka Upadhyay | Robust Navigation | Best Researcher Award

Published-on by Indian Scientist Awards

Ms. Priyanka Upadhyay | Robust Navigation | Best Researcher Award

Netaji Subhas University of Technology | India

Priyanka Upadhyay is a researcher in Electrical Engineering with growing contributions in autonomous robotics, intelligent navigation, and control systems. She is pursuing a doctoral degree focused on robust navigation of autonomous robots and holds postgraduate and undergraduate qualifications in Electrical Power Systems and Electrical & Electronics Engineering. Her research record includes publications on hybrid path-planning algorithms, enhanced Bezier-based trajectory modeling, autonomous mobile robot navigation, and control strategies for multi-link manipulators. Her work has gained academic attention, reflected in 16 citations, an h-index of 2, and i10-index of 0, demonstrating steadily increasing scholarly visibility with 8 citations since 2020. She has prior teaching experience as a faculty member in Electrical Engineering and has participated in several conferences, faculty development programs, and short-term courses related to artificial intelligence, optimization, robotics, renewable integration, and power electronics. Her technical expertise is strengthened by hands-on training in tools such as MATLAB and experience in industrial settings. She has earned recognition including a Silver Medal for an NPTEL Robotics certification and reviewer certification from an international robotics journal. Her research interests include electrical machines, robotic navigation, path planning, and intelligent control. She continues to advance her academic profile with a commitment to innovation, learning, and collaborative research.

Profile: Google Scholar

Featured Publications

Upadhyay, P., Rajesh, N., Garg, N., & Singh, A. (2015). Evaluating seed germination monitoring system by application of wireless sensor networks: A survey. In Computational Intelligence in Data Mining—Volume 2: Proceedings of the … (Cited by: 3).

Upadhyay, P., Singh, A., & Garg, N. (2014). Modeling software maintainability and quality assurance in the agile environment. International Journal of Database Theory and Application, 7(3), 83–90. (Cited by: 3).

Singh, P., Upadhyay, P., & Singh, S. K. (2025). Unlocking the economic potential of potato cultivars for mini-tuber production under aeroponic culture. Potato Research, 1–24. (Cited by: 2).

Upadhyay, P., Singh, R., & Rani, A. (2023). Reliable autonomous navigation of mobile robot in unconstrained environment. In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 531–537). IEEE. (Cited by: 2).

Upadhyay, P., Patil, K. U., Kuber, R., Kulkarni, V., & Singh, A. (2014). Evaluation of hypoxic-ischaemic events in preterm neonates using trans cranial ultrasound. International Journal of Healthcare and Biomedical Research, 3, 67–72. (Cited by: 2).

Pankaj Kumar Dubey | Electrical engineering | Young Researcher Award

Published-on by Indian Scientist Awards

Mr. Pankaj Kumar Dubey | Electrical engineering | Young Researcher Award

Kamla Nehru Institute of Technology Sultanpur | India

Pankaj Kumar Dubey is an active researcher whose work spans healthcare analytics, digital technologies, and emerging computational approaches. His research focuses on applying artificial intelligence and deep learning models to clinical decision-making, medical image analysis, and personalized treatment strategies. He has contributed to studies involving predictive modelling, pattern detection, and optimization frameworks that support improved diagnostic accuracy in healthcare systems. His work also explores the integration of digital tools, including blockchain and IoT-based solutions, to enhance transparency, data security, and efficiency in medical and industrial environments. His publications reflect multidisciplinary engagement, combining data science, biomedical engineering, and informatics to address contemporary challenges in healthcare and technology-driven ecosystems. He has participated in conferences and workshops presenting findings related to algorithmic optimization, intelligent systems, and AI applications in real-world scenarios. His research output includes peer-reviewed journal articles, conference presentations, and book chapters focusing on advanced computational methods. He has also collaborated on projects that utilize machine learning classifiers, neural networks, and hybrid models for problem-solving across domains such as supply chain management, disease prediction, and smart monitoring systems. His overall research demonstrates a strong commitment to innovation and the practical deployment of technology-enabled solutions that contribute to societal and scientific advancement.

Profile: Google Scholar | Orcid

Featured Publications

Singh, B., & Dubey, P. K. (2022). Distributed power generation planning for distribution networks using electric vehicles: Systematic attention to challenges and opportunities. Journal of Energy Storage, 48, 104030.

Yadav, S., Sudman, M. S. I., Dubey, P. K., Srinivas, R. V., Srisainath, R., & Devi, V. C. (2023). Development of a GA–RBF based model for penetration of electric vehicles and its projections. In 2023 International Conference on Self Sustainable Artificial Intelligence (ICSSAI).

Singh, B., Dubey, P. K., & Singh, S. N. (2022). Recent optimization techniques for coordinated control of electric vehicles in super smart power grids network: A state of the art. In 2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON).

Dubey, P. K., Singh, B., Kumar, V., & Singh, D. (2024). A novel approach for comparative analysis of distributed generations and electric vehicles in distribution systems. Electrical Engineering, 106(3), 2371–2390.

Negi, P., Dubey, P. K., Kumar, S., Palodkar, A. V., & Kumar, A. (2023). Experimental investigation of waste polyolefin composition on thermal conversion into petroleum-derived products. Fuel, 348, 128466.

Supriya M H | Electronics | Research Excellence Award

Published-on by Indian Scientist Awards

Prof. Dr. Supriya M H | Electronics | Research Excellence Award

Cochin University of Science and Technology | India

Dr. Supriya M.H. is a distinguished Professor in the Department of Electronics at Cochin University of Science and Technology with extensive experience at both undergraduate and postgraduate levels as well as in industry. She holds a B.Tech in Electrical Engineering, M.Tech and Ph.D. in Electronics, a Diploma in Unix & C, and an MBA in Information Technology. With over two decades of teaching experience and active involvement in research, Dr. Supriya has guided multiple Ph.D. students and has been recognized with numerous awards and recognitions for her contributions. Her research interests include underwater acoustics, target identification, underwater communication, signal processing, computer technology, and machine learning, leading to significant outputs in publications and patents. She has led several nationally and internationally funded projects with substantial total outlay, demonstrating her capability in research management and innovation. Dr. Supriya has authored over 178 publications, holds multiple patents, and has been cited over 1,210 times, with an h-index of 15 and i10-index of 25. She has also played key roles in organizing and coordinating symposia, workshops, and training programs, contributing to academic development. Her leadership in academic and professional bodies reflects her commitment to advancing electronics research and mentoring the next generation of researchers.

Profile: Google Scholar

Featured Publications

Pranav, E., Kamal, S., Chandran, C. S., & Supriya, M. H. (2020). Facial emotion recognition using deep convolutional neural network. In Proceedings of the 6th International Conference on Advanced Computing and Communication (pp. …).

Jose, E., Greeshma, M., Haridas, M. T. P., & Supriya, M. H. (2019). Face recognition based surveillance system using FaceNet and MTCNN on Jetson TX2. In Proceedings of the 5th International Conference on Advanced Computing & Communication (pp. …).

Kamal, S., Mohammed, S. K., Pillai, P. R. S., & Supriya, M. H. (2013). Deep learning architectures for underwater target recognition. In Proceedings of Ocean Electronics (SYMPOL) (pp. 48–54).

Nezla, N. A., Haridas, T. P. M., & Supriya, M. H. (2021). Semantic segmentation of underwater images using U-Net architecture based deep convolutional encoder-decoder model. In Proceedings of the 7th International Conference on Advanced Computing and Communication (pp. …).

Sherin, B. M., & Supriya, M. H. (2015). Selection and parameter optimization of SVM kernel function for underwater target classification. In IEEE Underwater Technology (UT) (pp. 1–5).

Tarun Katheriya | Electrochemistry | Research Impact Award

Published-on by Indian Scientist Awards

Dr. Tarun Katheriya | Electrochemistry | Research Impact Award

IIT BHU Varanasi | 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

Nirala, G., Yadav, D., Katheriya, T., & Upadhyay, S. (2022). Temperature dependent negative permittivity in solid solutions Sr₂Mn₁₋ₓSnₓO₄ (x = 0, 0.3, 0.5). Journal of the European Ceramic Society, 42(2), 453–461.

Mishra, R. K., Avinashi, S. K., Kumari, S., Nain, R., Katheriya, T., Dwivedi, R. K., … Gautam, C. (2024). Synergistic doping effect of La₂O₃ on BaO-TiO₂-SiO₂ glass-ceramics: Evolution of physical, structural, morphological, and dielectric behaviour for electronics applications. Journal of Alloys and Compounds, 990, 174354.

Nirala, G., Katheriya, T., Yadav, D., Verma, H., & Upadhyay, S. (2023). The evolution of coil-less inductive behaviour in La-doped Sr₂MnO₄. Emergent Materials, 6(6), 1951–1962.

Katheriya, T., & Upadhyay, S. (2023). High temperature study of dielectric and electrical conduction behaviour of La₂NiO₄. Physica Scripta, 98(10), 105969.

Katheriya, T., Nirala, G., & Upadhyay, S. (2025). Study of negative permittivity in nanosized LaNiO₃ for electromagnetic interference shielding: A modified Drude model approach. ACS Applied Electronic Materials, 7(3), 1151–1162.

Rishabh Chalotra | Metabolic Disorders | Young Researcher Award

Published-on by Indian Scientist Awards

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.

Arjun Kumawat | Materials Science | Research Excellence Award

Published-on by Indian Scientist Awards

Mr. Arjun Kumawat | Materials Science | Research Excellence Award

Vivekananda Global University, Jaipur | India

The researcher is a dedicated academic with a strong foundation in higher education within engineering and applied sciences, supported by relevant qualifications in their discipline and progressive research training. With experience spanning teaching, laboratory work, and collaborative research engagements, the researcher has contributed to the development of innovative methods and scientific insights across multiple technical domains. Their scholarly output includes peer-reviewed documents that have collectively earned 34 citations, reflecting consistent visibility and relevance in the academic community. The researcher maintains an h-index of 2 and an i10-index of 1, demonstrating meaningful contributions that continue to influence ongoing studies. Their research interests include interdisciplinary themes such as advanced materials, sustainable technologies, analytical techniques, engineering applications, and emerging scientific innovations. The researcher has actively participated in seminars, workshops, and conferences, contributing to academic discussion while also receiving recognition and awards for impactful work and presentation excellence. Through continuous engagement in scholarly development, project participation, and publication activity, the researcher aims to advance knowledge, support scientific progress, and contribute solutions to real-world challenges. Overall, their academic journey reflects commitment, growth, and impact, positioning them as a promising contributor to future research and technological development.

Profile: Google Scholar | Scopus

Featured Publications

Charan, S., Sharma, N., Kumawat, A., Mathur, S., & Vishwkarma, A. K., et al. (n.d.). Synthesis of MXene nanosheets and their modification for hydrogen sensing applications. International Journal of Hydrogen Energy, 48(96), 38118–38124.

Kumawat, A., Charan, S., Sharma, N., Kulriya, P. K., Singh, Y., & Visshwakarma, A. K., et al. (n.d.). Synthesis of graphene-like nano-order thick graphitic flakes through industrial waste carbon and study of their hydrogen gas sensing properties. International Journal of Hydrogen Energy, 48(96), 38101–38106.

Kumawat, A., Srivastava, S., Sharma, N., & Kumar, K. (n.d.). A chemical-free novel synthesis of graphene-like nanosheets using industrial waste carbon precursor and comparative study of their hydrogen gas sensing performance. International Journal of Hydrogen Energy, 196, 152613.

Meena, D. S., Kumawat, A., & Jangid, M. K. (n.d.). Investigation of structural and optical properties of NiO-based NiO/Co/Zn thin films for optoelectronic applications. Recent Trends in Applied Physics and Material Science, 184.

Meena, D. S., Kumawat, A., Meena, V. P., Meena, P., Mahla, H., & Meena, P. K., et al. (n.d.). Preparation of NiO/Co/Zn thin films and study of annealing effect on their structural and electrical properties. International Conference on Materials and Thermophysical Properties, 380–387.

Amar Deep Maurya | Civil Engineering | Research Excellence Award

Published-on by Indian Scientist Awards

Mr. Amar Deep Maurya | Civil Engineering | Research Excellence Award

Rajkiya Engineering College Mainpuri | India

Amar Deep Maurya is a researcher in civil engineering with contributions in sustainable construction materials, structural optimization, and innovative testing methods. His academic background includes a bachelor’s degree in civil engineering with strong engagement in interdisciplinary learning across environmental sciences and digital design tools. He has gained practical experience through engineering internships focused on road estimation, planning, sustainability, and environmental assessment. His research centers on waste-derived construction materials, particularly the statistical modeling and optimization of waste-glass-based paver blocks using Response Surface Methodology, which demonstrated marked improvements in strength and durability while reducing environmental impact. He has also contributed to the development of advanced mortar testing methods and has completed multiple design-based projects in AutoCAD and 3D modeling. His scholarly output includes research and review articles with measurable impact metrics such as h-index, citation count, and document contributions as reflected through academic indexing platforms. His publications explore areas including sustainable paver blocks, RSM-based prediction models, and self-healing concrete. Recognized for academic excellence, he secured a technical poster award and additional certifications enhancing his professional competence. Overall, his work reflects a commitment to sustainable engineering innovations and practical solutions for future-ready civil infrastructure.

Profile: Scopus

Featured Publication

Statistical modeling and optimization of waste glass-based paver block properties. (2025). Next Materials.

Archana Mohan | Electronics Engineering | Research Excellence Award

Published-on by Indian Scientist Awards

Mrs. Archana Mohan | Electronics Engineering | Research Excellence Award

Amrita Vishwa Vidyapeetham | India

Archana Mohan is a dedicated researcher and academician in Electrical and Electronics Engineering, currently pursuing her doctoral studies with a strong focus on power systems, e-mobility, and intelligent control applications. With a solid educational background spanning engineering, power systems, and management studies, she has built interdisciplinary expertise that strengthens her analytical and problem-solving capabilities. Her professional experience includes serving as a Teaching Assistant and Research Assistant in advanced laboratories related to power systems, robotics, embedded systems, autonomous systems, and electric vehicles, where she mentors students, develops experimental setups, and contributes to project execution. Her research contributions span transient stability modeling, hybrid electric vehicle architectures, V2X communication, state-of-charge estimation, air-quality integrated mobility systems, and optimization using AI-based techniques. She has authored multiple publications indexed in reputed databases with 19 citations, an h-index of 3, and i10-index of 0, reflecting the growing impact of her work. Her involvement in international conferences and journal publications highlights her active engagement with the global research community. She has also contributed to academic quality initiatives and technical events while earning recognition for her academic excellence and active participation. Her research interests continue to evolve toward sustainable mobility, intelligent power systems, and data-driven engineering solutions.

Profile: Google Scholar

Featured Publications

Mohan, A., & Manitha, P. V. (n.d.). Hybrid Electric Vehicles with V2X Topology and Smart Energy Management: An Overview of Their Potential and Limitations. In 2nd International Conference on Futuristic Technologies (INCOFT).

Mohan, A., & Vidya, M. S. (n.d.). Artificial Neural Network Model of an IEEE 5 Bus System under Transient Conditions. In Third International Conference on Smart Systems and Inventive Technology.

Mohan, A., Avinash, R., Manitha, P. V., & Deepa, K. (n.d.). The Impact of PID Controllers on the Performance of Electric Vehicle Speed Control and SoC. In IEEE North Karnataka Subsection Flagship International Conference (NKCon).

Mohan, A., Manitha, P. V., & Subramaniam, U. (n.d.). A comprehensive review on the integration of air quality monitoring systems with hybrid electric vehicles for emission control in smart cities. Science of the Total Environment, 994, 180022.

Mohan, A., Manitha, P. V., & Subramaniam, U. (n.d.). Comparative analysis of state of charge estimation methods for Li-ion batteries using Kalman filter variants and machine learning techniques for electric vehicle applications. IEEE Access.

Moh Mahatab | Civil Engineering | Best Researcher Award

Published-on by Indian Scientist Awards

Mr. Moh Mahatab | Civil Engineering | Best Researcher Award

Indian Institute of Technology Roorkee | India

Moh Mahatab is a Research Scholar in Civil Engineering whose work centers on fatigue and fracture behavior of welded joints in high-strength steel, with emphasis on improving fatigue performance through impact treatment and developing reliability-based design approaches for safer structural applications. He holds a postgraduate qualification in Structural Engineering and has contributed to several consultancy assignments involving structural design vetting and seismic retrofitting. His early research experience includes working as a Junior Research Fellow on a national project focused on seismic risk assessment of Indian cities, which strengthened his analytical foundation in structural safety. His ongoing research aims to advance fatigue life prediction and produce service guidelines that enhance the long-term performance of steel infrastructure. He maintains active collaboration with industry partners such as Tata Steel Limited, supporting practice-oriented innovations. Through a prestigious national research fellowship and an international research scholarship, he is further engaged in evaluating the fatigue behavior of retrofitted girders to inform performance assessment and life-extension strategies for existing structures. His academic and research contributions reflect a commitment to engineering reliability, material behavior understanding, and the development of methods that support resilient, high-performance infrastructure systems.

Profile: Orcid

Featured Publications

Mahatab, M., & Ranjan, R. (2025). Quantification of fatigue life improvement in S550MC weldments by HFMI treatment using 2D SBFM model. Procedia Structural Integrity. https://doi.org/10.1016/j.prostr.2025.06.135

Anand, V., Mahatab, M., Sharma, A., Raj, D., Jat, M. K., Sarkar, R., & Pal, S. (2023). A cluster-based seismic risk assessment: Economic loss using GIS for Jaipur sub-urban area. In Lecture Notes in Civil Engineering. https://doi.org/10.1007/978-981-99-1459-3_41