Welcome. I am Philips George John,
a PhD student at the School of Computing, National University of Singapore (NUS), supervised by Prof. Arnab Bhattacharyya.
Prior to starting my doctoral studies, I was a Blue Scholar at the IBM India Research Lab (IRL) in Bengaluru (erstwhile Bangalore); where I spent 2 years working on research problems related to Fairness and Explainability in Machine Learning (ML). Before working at IBM-IRL, I was a Masters (M.Tech. CSE) student at the Dept. of Computer Science and Automation, Indian Institute of Science (IISc) Bangalore; where I worked on algorithms and pseudorandomness with Prof. Arnab Bhattacharyya (now also my advisor at NUS).
Before beginning my graduate studies, I had a brief, but fruitful, stint in industry as a Software Engineer at Oracle India, Trivandrum, developing mobile applications (Oracle Sales Cloud). Prior to that, I obtained my undergraduate degree (B.Tech.) in Computer Science and Engineering studying at Rajiv Gandhi Institute of Technology in Kottayam, Kerala.
As might be easily inferred from the above paragraph, I am a Keralite (and/or a Malayali), born and brought up in Kottayam –-- the land of Letters, Lakes and Latex --- in the lovely state of Kerala, India. I also have roots in the neighbouring district of Pathanamthitta. Till date, I have lived (for more-than-negligible periods) in Kottayam, Thiruvananthapuram, Bengaluru, and Singapore.
Publications
(My DBLP page)
- Distribution Learning Meets Graph Structure Sampling Preprint (arXiv)
- Reliable Counterfactual Explanations for Autoencoder based Anomalies. COMAD/CODS 2021.
- Verifying Individual Fairness in Machine Learning Models. UAI 2020. Preprint (arXiv)
- Soft computing model for optimized siRNA design by identifying off target possibilities using artificial neural network model. Gene (May 2015).