Rate My Professor N Pappa

Dr. Pappa's research specializations encompass process control, instrumentation, neural networks, computational intelligence, soft computing, genetic programming, and applications to bioreactors, nuclear reactors, wastewater treatment plants, and lithium-ion battery performance. She has produced 83 publications, including recent works such as 'Hybrid Prediction Model-based Set point Alteration Control Scheme using AI for OC-OTEC Plant to Improve its Reliability' (2026), 'Experimental Investigation on Thermal Performance of Prismatic Cell Li-ion Battery for different Charging and Discharging Profiles using ANN Model' (2025), 'Robust estimation algorithm for improved SoC prediction using hybrid approach: Combining LSTM and GenUT-UKF' (2025), 'Circular economy-based multi-objective decentralized controller for activated sludge wastewater treatment plant' (2023), and 'Online learning based neural network adaptive controller for efficient power tracking of PWR type reactor with unknown internal dynamics' (2022). Her scholarship has earned around 600-700 citations and an h-index of 13. She has supervised 11 doctoral theses on topics including machine learning-based adaptive control of nuclear reactors and modeling of fed-batch bioreactors. Notable awards include the Fulbright-Nehru Academic and Professional Excellence Fellowship (2019), Excellence in Teaching Best Teacher Award (2016) from the Department of Instrumentation Engineering at MIT, and gold medals for her master's and bachelor's degrees. Dr. Pappa has served as Convener of the Board of Studies for Electrical Engineering faculties for non-autonomous colleges affiliated to Anna University and as a member of syllabus sub-committees. She holds senior membership in the International Society of Automation and life memberships in the Instrument Society of India, Indian Society for Technical Education, and others.