Runu Banerjee Roy | Artificial Intelligence | Best Researcher Award

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.

Suganthi D | Engineering | Best Researcher Award

Prof. Suganthi D | Engineering | Best Researcher Award

Vellore Institute of Technology | India

Dr. D. Suganthi is a dedicated researcher and academic professional in Electrical Engineering, currently serving as a Research Associate and pursuing her Ph.D. at VIT, Chennai. She holds a Bachelor’s degree in Electrical and Electronics Engineering from Sri Sairam Engineering College and a Master’s degree in Power Systems Engineering from the College of Engineering, Guindy, Anna University. Her research focuses on advanced power system technologies, including microgrid systems, transactive energy, demand response, peer-to-peer trading, vehicle-to-grid (V2G), grid-to-vehicle (G2V), and smart grid applications. She has contributed to several high-impact publications, including research on optimizing campus microgrid energy systems and smart home energy scheduling. Her work integrates economic, environmental, and sensitivity insights into energy management, enhancing the sustainability of distributed generation systems. Dr. Suganthi’s research has received 156 citations, with an h-index of 6 and an i10-index of 4, reflecting her growing influence in the field. She has also co-authored multiple book chapters in reputed international publications. Her academic journey reflects a strong commitment to advancing clean and intelligent energy systems through innovative solutions and collaborative research, contributing significantly to the global transition toward sustainable energy technologies.

Profile: Orcid

Featured Publications

Suganthi, D., & Jamuna, K. (2025). Optimizing campus microgrid energy systems: Economic, environmental, and sensitivity insights. Energy Conversion and Management: X. https://doi.org/10.1016/j.ecmx.2025.101046

Jamuna, K., Suganthi, D., & Angalaeswari, S. (2022). Energy economic appliances’ scheduling for smart home environment. In Smart Buildings Digitalization: Case Studies on Data Centers and Automation (pp. [pages if available]). CRC Press. https://doi.org/10.1201/9781003240853-9

Suganthi, D., & Jamuna, K. (2021). Charging and discharging characterization of a community electric vehicle batteries. In Smart Buildings Digitalization (pp. [pages if available]). CRC Press. https://doi.org/10.1007/978-981-16-0719-6_17