Academic Training
- PhD in Shallow water Waves and Partial Differential Equations , Mathematical Sciences - University of Texas Arlington, 2008, Texas, USA.
- MS Computational Mathematics - Clemson University, , Clemson, SC, USA. 2003
- BE (Computer Science and Engineering)-Jawharlal Nehru National College of Engineering (First Class with Distinction), 1999
I develop methods in Computational Learning Theory (COLT), Mathematics of Data Science (MDS), AstroInformatics (AIM) and novel ML/Modeling applications (AML). These and interpretable Deep learning techniques and acceleration in deep and wide neural networks, aided by chaos-causality paradigm are my current and future research interests. My Open Source Educational Initiatives include the following:
I have contributed more than 100 articles in top ranked conferences and Journals including several IEEE and ACM Transactions and am a Senior Member-IEEE, Senior Member-ACM and a Fellow-IETE. I contributed to the theory of machine learning/deep learning and meta-heuristics and developed several state-of-the-art methods in
Deep Learning based classification tasks, optimizers for non-convex problems, proposed a novel anomaly detection method for univariate and multivariate time series data and interpretable tools in Deep learning. I have 03 European Patents, several Sponsored Projects and contributed to Open Source Educational Initiatives. I have designed and introduced a new course, Computational Learning Theory for UG/PG students. I led IEEE Computer Society Bangalore chapter to new heights and helped secure them the best global chapter in 2019. I'm a co-founder of HappyMonk AI, an AI product company.
Note to students: Since I work in foundational machine learning, it is exceedingly difficult for me to accept semester-long projects/SOPs etc. If you're committed for the grind, spanning at least a year, let's talk!
An Institute of Eminence
