BITS Pilani, Goa Campus
Zuarinagar, Goa 403726
I am working as an Assistant Professor (Grade-II) in the Department of Computer Science and also affiliated with Anuradha and Prashanth Palakurthi Centre for Artificial Intelligence Research (APPCAIR), BITS Pilani Goa Campus. My research areas of interest are Deep Learning, Neuro-Symbolic Models, Graph Representation Learning and Machine Learning for Science.
I have submitted my PhD thesis titled “Inclusion of Symbolic Domain-Knowledge into Deep Neural Networks” to the Department of Computer Science, BITS Pilani. I completed my doctoral research during Jan 2017 to April 2022 under the supervision of Senior Professor Ashwin Srinivasan. In my doctoral research, I focused on constructing deep neural networks from relational data and symbolic domain-knowledge—this resulted in beautiful combinations of neural computation with logical representation. The real-world applications of my doctoral research are in the broad area of drug discovery. Further, it has enormous potential to be adopted in many other real-world problems such as health science, social networks, robotics, etc. For now, I have made the abstract of my dissertation available here.
I received a Master of Technology (M.Tech) degree in Computer Science from VSSUT, Burla (one of the oldest engineering institutes in India) in the year 2014 and a Bachelor of Technology (B.Tech) degree in Information Technology from NIST Berhampur in the year 2012. I am a Silver Medalist in both M.Tech and B.Tech for my academic performances.
I have worked as an Assistant Professor in the School of Computer Science at NIST Berhampur for over a year during 2014 - 2015. I have also worked as IASc-INSA-NASI Summer Research Fellow at ISI Kolkata. I have qualified national-level competitive examinations such as GATE (twice) and UGC-NET.
Here is my semi-updated CV. References are available upon request.
|Jun 23, 2022||Woo-hoo! Next phase in career starts at UCSD from Sep 2022.|
|Jun 1, 2022||Read our latest research on Compositional Relational Machines (CRMs).|
|May 13, 2022||PhD Journey ends! I submitted my PhD thesis. Read the abstract.|
|Apr 20, 2022||Our paper won the “Best Short Paper Award” at ACMSE-2022. Congratulations Gunjan, Abheesht and Harshit!|
|Mar 25, 2022||I am in the program committee for ICANN-2022.|
|Feb 22, 2022||Gunjan, Abheesht and Harshit got a paper accepted at ACMSE-22: [Preprint].|
|Feb 15, 2022||I will be talking AI at Davis Institute for AI on Feb 25, 2022.|
|Jan 16, 2022||Join my course CS F425:Deep Learning at Google Classroom.|
|Jan 1, 2022||Adieu, 2021. Wishing you all a very happy and healthy new year 2022.|
|Dec 31, 2021||I am in the program committee for IJCAI-ECAI 2022.|
arXivComposition of Relational Features with an Application to Explaining Black-Box PredictorsarXiv 2022
SciRepA review of some techniques for inclusion of domain-knowledge into deep neural networksScientific Reports Jan 2022
ILPUsing Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug DesignIn Inductive Logic Programming Jan 2022
PNASTransformational machine learning: Learning how to learn from many related scientific problemsProceedings of the National Academy of Sciences Jan 2021
MLJInclusion of domain-knowledge into GNNs using mode-directed inverse entailmentMachine Learning Nov 2021
MLJIncorporating symbolic domain knowledge into graph neural networksMachine Learning Jul 2021