Syandan Sinha Ray | Plant Biotechnolgy | Innovative Research Award

Published-on by Indian Scientist

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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Rekha Bansal | Medicine and Dentistry | Research Excellence Award

Published-on by Indian Scientist

Prof. Dr. Rekha Bansal | Medicine and Dentistry | Research Excellence Award

Shri Lal Bahadur Shastri Government Medical College, India

Prof. Dr. Rekha Bansal is a distinguished academician and clinician in pulmonary medicine, currently serving as Professor and Head of Department. She holds advanced qualifications in respiratory diseases and specialized training in thoracic oncology and palliative care. With extensive experience across leading medical institutions, she has contributed significantly to teaching, clinical practice, and research. Her interests include tuberculosis, lung cancer, and antimicrobial studies. Recognized for her scholarly publications and academic leadership, she continues to advance respiratory healthcare and medical education.

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Banupriya N | Computer Science | Young Researcher Award

Published-on by Indian Scientist

Dr. Banupriya N | Computer Science | Young Researcher Award

R.M.K. Engineering College, India

Dr. N. Banupriya is an accomplished academician and researcher in Computer Science and Engineering, currently serving as an Assistant Professor at R.M.K. Engineering College. She holds advanced degrees in Computer Science and is pursuing doctoral research, reflecting her commitment to academic excellence. With extensive teaching experience, she has contributed significantly to research in Artificial Intelligence, Machine Learning, Data Analytics, and Brain-Computer Interface. She has published in reputed journals and conferences and received recognitions including Infosys Campus Connect certifications. Her work demonstrates dedication to innovation, impactful research, and academic leadership.

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Rishabh Rathore | Quantitative Risk Assessment in Food Supply Chains | Best Researcher Award

Published-on by Indian Scientist

Dr. Rishabh Rathore | Quantitative Risk Assessment in Food Supply Chains | Best Researcher Award

NICMAR University of Construction Studies, Hyderabad, India

Dr. Rishabh Rathore is an accomplished academic and researcher specializing in Industrial and Systems Engineering, with expertise in modeling, simulation, and multi-criteria decision-making techniques. He has extensive teaching experience at undergraduate and postgraduate levels and has contributed to high-impact international journals and conferences on foodgrains supply chain risk management. His research has been supported by prestigious grants, and he actively participates in professional societies and academic conferences. Dr. Rathore’s work emphasizes system safety, optimization, and applied operations research, advancing knowledge in supply chain and operational analytics.

Citation Metrics (Google Scholar)

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Featured Publications


A quantitative risk assessment methodology and evaluation of food supply chain


– The International Journal of Logistics Management · 101 Citations · 2017


Evaluation of risks in foodgrains supply chain using failure mode effect analysis and fuzzy VIKOR


– International Journal of Quality & Reliability Management · 64 Citations · 2020


Impact of risks in foodgrains transportation system: a system dynamics approach


– International Journal of Production Research · 49 Citations · 2020


A weighted fuzzy Petri-net analysis for Indian foodgrains supply chain


– International Journal of Productivity and Performance Management · 1 Citation · 2024

Pooja Mathur | Pharmaceutics | Excellence in Research Award

Published-on by Indian Scientist

Pooja Mathur | Pharmaceutics | Excellence in Research Award

GD Goenka University | India

Dr. Pooja Mathur is an accomplished academic and researcher in Pharmaceutics with advanced doctoral training and extensive experience in teaching, research, and academic coordination. She has contributed significantly to pharmaceutical sciences through high-impact publications, books, patents, and interdisciplinary research. Her research interests include nanoformulations, drug delivery systems, phytopharmaceuticals, oncology therapeutics, and translational nanomedicine. She actively serves as a reviewer for reputed international journals and has received multiple recognitions for academic excellence, research output, and institutional contributions, reflecting her strong commitment to innovation and scholarly leadership.

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Padmini Sankaramurthy | Energy | Research Excellence Award

Published-on by Indian Scientist

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.

Sajja Tulasi Krishna | Computer Science | Research Excellence Award

Published-on by Indian Scientist

Dr. Sajja Tulasi Krishna | Computer Science | Research Excellence Award

Koneru Lakshmaiah Education Foundation | India

Dr. Sajja Tulasi Krishna is a distinguished researcher and academician in Computer Science and Engineering, currently serving as an Assistant Professor at Koneru Lakshmaiah Education Foundation. She has extensive teaching experience in areas including CI/CD, Cloud DevOps, Python Full Stack Development, MERN Stack Web Development, Deep Learning, and Data Structures. Dr. Krishna earned her Ph.D. in Computer Science and Engineering and holds advanced degrees in M.Tech and B.Tech, reflecting a strong academic foundation. Her research focuses on deep learning, machine learning, biomedical image processing, and intelligent systems, with contributions in multi-omics integration, lung cancer detection, COVID-19 diagnosis, and medicinal plant classification. She has published 18 research articles in SCIE, Scopus, and IEEE journals, achieving a total of 488 citations with an h-index of 5 and an i10-index of 5. Dr. Krishna has presented her work at multiple national and international conferences, serving as a reviewer for reputed journals and conferences. She has received multiple awards recognizing her excellence in teaching, research, and technical contributions, including Best Teacher, International Excellence, and Young Researcher Awards. With her expertise, she continues to advance innovative research while mentoring students and contributing to the academic community globally.

Profiles: Google Scholar | Scopus | Orcid

Featured Publications

Krishna, S. T., & Kalluri, H. K. (2019). Deep learning and transfer learning approaches for image classification. International Journal of Recent Technology and Engineering (IJRTE), 7(5S4), 427–432.

Sajja, T. K., Devarapalli, R. M., & Kalluri, H. K. (2019). Lung cancer detection based on CT scan images by using deep transfer learning. Traitement du Signal, 36(4), 339–344.

Sajja, T. K., & Kalluri, H. K. (2020). A deep learning method for prediction of cardiovascular disease using convolutional neural network. Revue d’Intelligence Artificielle, 34(5), 601–606.

Sajja, T. K., & Kalluri, H. K. (2021). Image classification using regularized convolutional neural network design with dimensionality reduction modules: RCNN–DRM. Journal of Ambient Intelligence and Humanized Computing, 12(10), 9423–9434.

Sajja, T. K., & Kalluri, H. K. (2019). Gender classification based on face images of local binary pattern using support vector machine and back propagation neural networks. Advances in Modelling and Analysis B, 62(1), 31–35.

Rishabh Chalotra | Metabolic Disorders | Young Researcher Award

Published-on by Indian Scientist

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.

Ashlesha Chauhan | Pharmaceutical Analysis | Women Researcher Award

Published-on by Indian Scientist

Dr. Ashlesha Chauhan | Pharmaceutical Analysis | Women Researcher Award

K.B.Institute of Pharmaceutical education and research | India

Dr. Ashlesha J. Chauhan is an accomplished academic and researcher in Pharmaceutical Chemistry with extensive experience in teaching and research. She holds a B.Pharm, an M.Pharm, and a Ph.D. in Pharmaceutical Sciences, and has served in multiple academic positions, progressing from Assistant Professor to Associate Professor. She has guided numerous postgraduate and doctoral students and has contributed significantly to the academic growth of her institution through active participation in various committees related to quality, gender sensitization, student support, and institutional governance. Her research interests span medicinal chemistry, QSAR, molecular modeling, drug discovery, and pharmaceutical analysis, with a strong publication record comprising 11 research documents, 79 citations, and an h-index of 4 based on 76 citing documents. She has received recognition through research grants, competitive fellowships, and the filing of a patent for her synthetic work. Her contributions in method development, analytical chemistry, and design of bioactive molecules reflect her commitment to innovation and scientific advancement. She has also presented her work at prominent scientific platforms. Overall, Dr. Chauhan’s career represents a blend of impactful teaching, productive research, academic leadership, and continuous contribution to pharmaceutical sciences.

Profile: Orcid 

Featured Publications

Patle, R., Kavitha, R., Surendrakumar, A., Sahni, R. K., Suthakar, B., Kannan, B., & Maragatham, S. (2025). Development of a sensor-based embedded system for on-the-go variable-rate fertilizer applicator in maize crop. Results in Engineering, 28, 107852. https://doi.org/10.1016/j.rineng.2025.107852

Patle, R., Kavitha, R., Surendrakumar, A., Balaji, K., Maragatham, S., & Suthakar, B. (2023). Estimation of sensor-based site-specific variable rate fertilizer application for maize (Zea mays L.) crop. Journal of Applied and Natural Science, 15(3), 1109–1118. https://doi.org/10.31018/jans.v15i3.4724

Patle, R. (2024). Variable rate fertilizer applicator (Software registration No. SW-18483/2024).

Patle, R. (2023). Autonomous variable rate fertilizer applicator (Patent filed at The Patent Office, India).

Uma V | Materials Science | Women Researcher Award

Published-on by Indian Scientist

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