Research Interests
My research areas are Reinforcement Learning, Big Data Process Analytics, Machine Learning & Big Data.
Relevant Courses Taught
- Mathematical Foundations of Data Science
- Modern Control Theory
- Python for Data Science (NPTEL)
- Data Science for Engineers (NPTEL)
Selected Papers
2023
Perovskite‐based electrocatalyst discovery and design using word embeddings from retrained SciBERT language model
Arun Muthukkumaran
Shrayas Raghunathan
Arjun Ravichandran
Raghunathan Rengaswamy
AIChE Journal
2022
Data science and IoT based mobile monitoring framework for hyper-local PM2. 5 assessment in urban setting
S Swaminathan
AVS Guntuku
S Sumeer
A Gupta
R Rengaswamy
Building and Environment 225
2022
Integration of Machine Learning and First Principles Models
L.Rajulapati
S.Chinta
B.Shyamala
R.Rengaswamy
AIChE J
2022
Reinforcement-Learning designs droplet microfluidic networks
Computers and Chemical Engineering
2022
CDiNN -Convex Difference Neural Networks
Parameswaran Sankaranarayanan
Raghunathan Rengaswamy
Neurocomputing
Books Published
Data Science for Engineers
CRC Press
2022
Process Control Fundamentals
CRC Press
2020
Selected Professional Contributions
- Jury member for GITA Global Technology Development Awards 2021
- Advisor, CII for their Center of Excellence in Data Science and AI
- Member, CII International Liaisons Sub-committee, Southern Region
- Core member, DST-PAC, Chemical and Environmental Engineering 2019-2022
- Task Force Member, Department of Biotechnology, India 2014 - 2017
- National Research Council Member, NMRL, Ambernath, India
