Jeba Sonia J | Artificial Intelligence | Chemistry | Best Academic Researcher Award

Published-on by Indian Scientist

Dr. Jeba Sonia J | Artificial Intelligence | Chemistry | Best Academic Researcher Award

SRM Institute of Science and Technology, India

Dr. Jeba Sonia J is an accomplished academician and researcher in Computer Science and Engineering with extensive experience in teaching, mentoring, and curriculum development across undergraduate, postgraduate, and professional programs. Her academic background includes doctoral and postgraduate training in computer science. Her research interests span artificial intelligence, machine learning, deep learning, data science, computer networks, and wireless communications, with notable contributions through high-impact publications and patents. She has received prestigious fellowships, best paper recognition, and faculty excellence awards, demonstrating sustained excellence in research, teaching, and academic leadership.

Citation Metrics (Google Scholar)

220
160
10
5
0

Citations
209

h-index
8

i10index
7

Total Citations

h-index

i10-index

Featured Publications


Authentication of biometric system using fingerprint recognition with euclidean distance and neural network classifier


– International Journal of Innovative Technology and Exploring Engineering · Cited by 35


K-means clustering and SVM for plant leaf disease detection and classification


– International Conference on Recent Advances in Energy-efficient Technologies · Cited by 29


Green buildings and sustainable engineering


– Springer Transactions in Civil and Environmental Engineering · Cited by 15

Subhodeep Moitra | Artificial Intelligence | Young Researcher Award

Published-on by Indian Scientist

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.

Runu Banerjee Roy | Artificial Intelligence | Best Researcher Award

Published-on by Indian Scientist

Dr. Runu Banerjee Roy | Artificial Intelligence | Best Researcher Award

Jadavpur University| India

Dr. Runu Banerjee Roy is a Professor in Instrumentation and Electronics Engineering at Jadavpur University, widely recognized for her contributions to electronic olfaction, taste sensing, molecular imprinting, sensor development, and artificial intelligence–based instrumentation. She has an extensive research profile with 1213 citations, an h-index of 17, and an i10-index of 25, reflecting her strong scholarly impact and research productivity. Her publication record includes more than 50 peer-reviewed journal papers, around 40 conference papers, multiple book chapters, and several patents that are granted, published, or filed. She has successfully guided doctoral and postgraduate research scholars and completed multiple sponsored research projects funded by major scientific agencies, focusing on portable sensing devices, electronic nose and tongue systems, and electrochemical detection technologies for applications in food quality and safety. In academics, she has served in leadership roles such as Head of Department, NBA accreditation coordinator, and curriculum committee member, contributing to program development and quality enhancement. Her work has earned recognition through competitive research awards, scientific prizes, and support for international research presentations. With strong expertise spanning instrumentation, intelligent sensing systems, and applied electronics, she continues to advance innovative research, academic excellence, and technology-driven solutions in modern sensor engineering.

Profile: Google Scholar | Scopus

Featured Publications

Roy, R. B., Tudu, B., Shaw, L., Jana, A., Bhattacharyya, N., & Bandyopadhyay, R. (2012). Instrumental testing of tea by combining the responses of electronic nose and tongue. Journal of Food Engineering, 110(3), 356–363.

Banerjee, M. B., Roy, R. B., Tudu, B., Bandyopadhyay, R., & Bhattacharyya, N. (2019). Black tea classification employing feature fusion of E-Nose and E-Tongue responses. Journal of Food Engineering, 244, 55–63.

Banerjee, R., Tudu, B., Bandyopadhyay, R., & Bhattacharyya, N. (2016). A review on combined odor and taste sensor systems. Journal of Food Engineering, 190, 10–21.

Roy, R. B., Chattopadhyay, P., Tudu, B., Bhattacharyya, N., & Bandyopadhyay, R. (2014). Artificial flavor perception of black tea using fusion of electronic nose and tongue response: A Bayesian statistical approach. Journal of Food Engineering, 142, 87–93.

Nag, S., Pradhan, S., Naskar, H., Roy, R. B., Tudu, B., Pramanik, P., … et al. (2021). A simple nano cerium oxide modified graphite electrode for electrochemical detection of formaldehyde in mushroom. IEEE Sensors Journal, 21(10), 12019–12026.

Vaijayanthimala Jayavel | Artificial Intelligence | Best Researcher Award

Published-on by Indian Scientist

Dr. Vaijayanthimala Jayavel | Artificial Intelligence | Best Researcher Award

Dhirajlal Gandhi College of Technology| India

Dr. J. Vaijayanthimala is a dynamic academic and researcher recognized for her extensive contributions in computer science and engineering, particularly in artificial intelligence, image processing, sensor networks, and intelligent computing systems. Her Google Scholar profile records 16 total citations with an h-index of 2 and i10-index of 0, reflecting her growing scholarly influence across interdisciplinary domains. She has published widely in reputed journals including the ECS Journal of Solid State Science and Technology and Journal of The Electrochemical Society, with research spanning photonic biosensors, AI-based news aggregation, virtual reality accessibility, and smart agriculture. She has co-authored and authored multiple technical books on AI, machine learning, database systems, and data structures, demonstrating her commitment to quality education and knowledge dissemination. Her innovations include patents in automated voice recognition and eco-friendly 3D printing technology. A recipient of the “Innovative Technologist and Dedicated Teaching Professional Award,” she actively contributes as a reviewer for Springer Nature and Elsevier journals. With research interests that merge intelligence, automation, and sustainable technology, Dr. Vaijayanthimala continues to advance computational research and inspire the next generation of scholars.

Profile: Google Scholar

Featured Publications

Vaijayanthimala, J., Pon Bharathi, A., Ramkumar Raja, M., & Arun Kumar, U. (2024). Enhanced sensing of diseased blood samples through one-dimensional MgO-SiO2 photonic crystal sensor. Journal of The Electrochemical Society, 171(10), 107505.

V.M. Manish, J. Vaijayanthimala. (2014). Diminution of packet drop by efficient selection of network route in MANET. International Journal of Computer Science Information Technology (IJCSIT), 5, 1852–1855.

Vaijayanthimala, J., Vaishnavi, K., & Arun Kumar, U. (2025). High-sensitivity terahertz metasensor for cervical cancer diagnosis: Graphene modulation and XGBoost-assisted optimization. Sensors International, 2666–3511, Article 2666.

Vaijayanthimala, J., Alam, M.K., Shqaidef, A., & Mahmoud, O. (2024). Performance evaluation of refractive index biosensor in THz regime for clinical applications: A simulation approach. ECS Journal of Solid State Science and Technology, 13(10), 107005.

Vaijayanthimala, J., & Padma, T. (2019). Synthesis score level fusion based multifarious classifier for multi-biometrics applications. Journal of Medical Imaging and Health Informatics, 9(8), 1673–1680.

Ravi Gandhi | Engineering | Best Research Article Award

Published-on by Indian Scientist

Dr. Ravi Gandhi | Engineering | Best Research Article Award

Ajeenkya D Y Patil University, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Ravi Gandhi embarked on his academic journey with a strong foundation in engineering sciences, earning his Bachelor’s degree in Engineering from a reputed institution. Demonstrating a keen interest in advancing technology, he pursued Master’s and Ph.D. degrees in Engineering, specializing in areas that blend theoretical knowledge with practical applications. His early academic years were marked by exemplary performance, research involvement, and participation in international workshops and conferences, laying a solid groundwork for his future endeavors.

🏢 PROFESSIONAL ENDEAVORS

Dr. Gandhi’s professional career spans over several years in academia and industry. He has held key positions such as Associate Professor, Research Scientist, and Project Lead in top engineering institutions and technology firms. His expertise in project management, technology innovation, and teaching has been pivotal in driving several successful projects related to advanced engineering systems and smart infrastructure. Additionally, Dr. Gandhi has served as a consultant for multinational corporations, providing strategic insights into engineering design and optimization.

📚 CONTRIBUTIONS AND RESEARCH FOCUS 

Dr. Gandhi’s research contributions are substantial in fields such as renewable energy systems, intelligent control systems, and materials engineering. His work involves the development of novel algorithms, simulation models, and prototype devices to address complex engineering challenges. He has published extensively in peer-reviewed international journals and conferences, advancing knowledge in sustainable engineering and automation technologies. His research focus aligns with global priorities including energy efficiency, environmental sustainability, and smart technologies.

🏅 ACADEMIC CITES, ACCOLADES AND RECOGNITION

Dr. Gandhi has been the recipient of numerous prestigious awards, including best research paper awards, teaching excellence honors, and fellowships from leading engineering societies. His work has been recognized at national and international levels, and he frequently serves as a keynote speaker, session chair, and reviewer for top-tier journals and conferences. His academic citations reflect his sustained contribution and influence in the engineering domain.

🌍 IMPACT AND INFLUENCE

Dr. Gandhi’s research has had a profound impact on both academic communities and industry practices. His innovative solutions have been widely cited by researchers worldwide, influencing subsequent studies and technological advancements. He has played a vital role in international collaborations, policy advisory boards, and technical committees, contributing to shaping the future of engineering education and practice. Moreover, his mentorship has cultivated a new generation of engineers and researchers who continue to propagate his vision.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Gandhi’s legacy is built on a rich portfolio of high-impact research, patents, and trained professionals who continue to push the boundaries of engineering. Looking ahead, he aims to expand his work in emerging technologies such as AI-integrated engineering systems, sustainable smart cities, and next-generation materials. His commitment to interdisciplinary research and global partnerships ensures his continued influence and contributions toward solving future engineering challenges.

 ✅CONCLUSION

Dr. Ravi Gandhi exemplifies the synergy of academic excellence, innovative research, and professional leadership in engineering. His career reflects a dedication to advancing technology for societal benefit, mentoring future leaders, and fostering sustainable development. His ongoing work promises to contribute significantly to the evolution of engineering sciences and the creation of a more sustainable and intelligent world.

 🔬NOTABLE PUBLICATION:

Title: Imaging features and safety and efficacy of endovascular stroke treatment: a meta-analysis of individual patient-level data
Authors: L San Román, BK Menon, J Blasco, M Hernández-Pérez, A Dávalos, …
Journal: The Lancet Neurology
Year: 2018

Title: Penumbral imaging and functional outcome in patients with anterior circulation ischaemic stroke treated with endovascular thrombectomy versus medical therapy: a meta-analysis …
Authors: BCV Campbell, CBLM Majoie, GW Albers, BK Menon, N Yassi, G Sharma, …
Journal: The Lancet Neurology
Year: 2019

Title: Effect of general anaesthesia on functional outcome in patients with anterior circulation ischaemic stroke having endovascular thrombectomy versus standard care: a meta …
Authors: BCV Campbell, WH Van Zwam, M Goyal, BK Menon, DWJ Dippel, …
Journal: The Lancet Neurology
Year: 2018

Title: Hybrid extended state observer based control for systems with matched and mismatched disturbances
Authors: RV Gandhi, DM Adhyaru
Journal: ISA Transactions
Year: 2020

Title: Feedback linearization based optimal controller design for electromagnetic levitation system
Authors: RV Gandhi, DM Adhyaru
Journal: Control, Instrumentation, Communication and Computational Technologies …
Year: 2017