Supriya M H | Electronics | Research Excellence Award

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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).

Archana Mohan | Electronics Engineering | Research Excellence Award

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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.

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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.

Aritra Acharyya | Engineering | Best Researcher Award

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Dr. Aritra Acharyya | Engineering | Best Researcher Award

Kalyani Government Engineering College | India

Dr. Aritra Acharyya is a distinguished researcher in Electronics and Communication Engineering, recognized for impactful contributions to millimeter-wave and terahertz solid-state devices. He holds advanced degrees in Radio Physics and Electronics, with top academic rankings, followed by extensive experience as an Assistant Professor in government engineering institutions where he has led academic, research, and national-level satellite-based learning initiatives. His research specializes in IMPATT diodes, optical control of high-frequency semiconductor devices, graphene nanoribbon transport phenomena, RF and microwave engineering, UV sensor modeling, and applied signal and image processing. He has authored numerous research documents, accumulating an h-index of 9, over 350 citations, and more than 45 indexed publications, reflecting his steady contribution to high-impact scientific literature. Dr. Acharyya has coordinated multiple national programmes in collaboration with space and remote sensing agencies and completed a wide range of advanced faculty development programmes in microelectronics, antenna systems, GNSS, VLSI, AI, and quantum technologies. His achievements include prestigious academic and professional awards from leading scientific bodies, along with recognition for excellence in scholarly publications and technical education. His work continues to strengthen innovation in high-frequency semiconductor device engineering and inspire emerging researchers in advanced communication technologies.

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Featured Publications

Acharyya, A., & Banerjee, J. P. (n.d.). Prospects of IMPATT devices based on wide bandgap semiconductors as potential terahertz sources. Applied Nanoscience, 4(1), 1–14.

Acharyya, A., & Banerjee, J. P. (n.d.). Potentiality of IMPATT devices as terahertz source: An avalanche response time-based approach to determine the upper cut-off frequency limits. IETE Journal of Research, 59(2), 118–127.

Biswas, A., Sinha, S., Acharyya, A., Banerjee, A., Pal, S., Satoh, H., & Inokawa, H. (n.d.). 1.0 THz GaN IMPATT source: Effect of parasitic series resistance. Journal of Infrared, Millimeter, and Terahertz Waves, 39(10), 954–974.

Acharyya, A., Banerjee, S., & Banerjee, J. P. (n.d.). Effect of junction temperature on the large-signal properties of a 94 GHz silicon based double-drift region impact avalanche transit time device. Journal of Semiconductors, 34(2), 024001.

Acharyya, A., Banerjee, S., & Banerjee, J. P. (n.d.). Influence of skin effect on the series resistance of millimeter-wave IMPATT devices. Journal of Computational Electronics, 12(3), 511–525.