Supriya M H | Electronics | Research Excellence Award

Published-on by Indian Scientist

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.

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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).

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.