August 23
[Research] Submitted my work on Hypergraph Representation Learning at AAAI'23
[Attending] 21-22 Aug 'Math of GDL' workshop in ICIAM 2023 [online]
I regularly attend Workshops / Talks / Events held in the community throughout the world, I think these are the best way to understand and catch-up through the ongoing cutting-edge research, here I am updating the participation glimpses in a timeline fashion.
[13-Dec / 22-Dec] Attending ACM Winter School at Trust Lab IIT Bombay (physically)
[9-Dec / 12-Dec] Attending Learning on Graphs Conference (online)
[Talk / 4-Nov] Graph Neural Networks in Drug Discovery: Opportunities and Solutions
[Lecture Series] Munich AI Lecture Series
The Munich AI Lectures are a joint initiative of the Munich Center for Machine Learning (MCML), the Center for Advanced Studies (CAS) at LMU, ELLIS Munich, and the Munich Data Science Institute (MDSI) at TUM.
[Attending Sept 28] Stanford Graph Learning Workshop
I attended The Graph Learning Workshop organized by Prof. Jure at Stanford (virtually), It was a great event to signify the growth of the PYG environment and recent advances in graph machine learning.
I attended a month-long summer school organized by CVIT lab IIIT-H, comprised of understanding deep learning concepts and leaning towards great research talks from research industry experts.
I enjoyed the overall experience and learned a lot from the lecture series, and had great conversations with speakers as well
[Research Internship May - Aug] Summer of 2022
I got admitted to various research programs from which i chose to go with IKDD Uplink Research Internship, here is the list of programs I got admitted to as the process of getting selected as a research intern is really tough so even selection in India signifies the growth of an individual
[Summer Research] I got selected as Graph Machine Learning Research Intern at the UPLINK IKDD Program under Prof. Srikanta Bedathur at IIT Delhi
[Summer Research] I got selected as Computational Molecular Dynamics Intern in SRISHTI'22 Program at
IIIT-Hyderabad under Prof. Gopalakrishnan Bulusu
[Summer Research] I got selected in the summer internship program by the school of AI and Data Science SIP@SAIDE2022 at IIT Jodhpur under Dr. Deepak Mishra
Courses and Learnings
CO 642 Graph Theory ( Luke Postle | University of Waterloo )
Advanced Probability Theory (By Prof. Niladri Chatterjee | IIT Delhi)
Foundations of Cryptography (By Prof. Ashish Choudhury | Prof. S. Viswanath | The Institute of Mathematical Sciences, Chennai)
Combinatorics & Optimization (CO) 738 Probabilistic Methods in Discrete Mathematics ( Luke Postle | University of Waterloo )
Pytorch Geometric tutorial ( Antonio Longa )
(by HSE University)
Conferences and Talks
Network Analysis Made Simple | SciPy 2021
Panel: Providing Global Research Leadership from India, [Research Week with Google] - 2022
Panel Discussion: Research Opportunities in Data Science & Mathematics [DAAD India]- 17 Feb 2022, 15:00 IST
Neural Structured Prediction for Inductive Node Classification @Mila GNN Reading Group - 17-Feb 9:30 pm IST
IARAI on Neural PDEs, differential geometry, and graph neural networks - 24 Feb 2022, 9:30 PM
1st Cambridge AI in Drug Discovery Conference - 26 Feb 2022 - 10:00 to 17:00 (GMT)