I'm an Assistant Professor in Machine Learning Lab at International Institute of Information Technology Hyderabad (IIIT-H).

As a PhD student, I have worked in Krama Lab under the guidance of Dr. Manohar Kaul in the department of Computer Science & Engineering at Indian Institute of Technology (IIT) Hyderabad.
I completed my M.Tech in Artificial Intelligence from University of Hyderabad under the guidance of Prof. Arun K. Pujari. Prior to this, I worked as a Junior Software Engineer under Prof. Deepak B. Phatak at Indian Institute of Technology (IIT) Bombay. My research interests include Geometric Machine/ Deep Learning: 3D Point Clouds, 3D scene understanding, 3D+LLM, Graph/Temporal Graphs/Knowledge Graph Representation Learning.

Recent!

• December 2024: Paper titled "Higher Order Structures For Graph Explanations" accepted at AAAI 2025.
• October 2024: Two papers accepted at WACV 2025.
• Jan, Feb 2024: Two papers accepted in the field of Robotics in IEEE Access and IEEE Sensors Letters, 2024.
• August 15, 2023: Paper titled "Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation" accepted at WACV 2024.
• Two workshop papers have been accepted at WWW'23 and ICAIL'23.
• January 22, 2023: Paper with Nidhi, Jushaan, Raghava, Niharika and PK accepted in EACL 2023 Conference Findings. Title: "JobXMLC: EXtreme Multi-Label Classification of Job Skills with Graph Neural Networks".
• January 7, 2023: Experience and motivational talk at CoDS-COMAD 2023.
• November 1-5, 2022: Delivered talks on Graph Neural Networks, Point Clouds and Geometric DL at SVNIT Surat and IIIT Vadodara.
• October 6, 2022: Long paper with Anmol Goel and Ponnurangam Kumaraguru accepted at EMNLP 2022 main conference. Title of the paper "An Unsupervised, Geometric and Syntax-aware Quantification of Polysemy".
• SRG (Start-Up Grant) proposal is approved by SERB (Science and Engineering Research Board, a statutory body under DST) to fund my research group.
• Featured in IIITH's Blog with my life journey (link)
• Talk on "Knowledge Graph Representation Learning" at Sahaj
• Talk on "Introduction to ML for Graphs" during I-Srishti Internship program 2022 by I-Hub, IIITH.
• Lecture on "Deep Learning for (Molecular) Graphs" in ML for Chemistry and Drug Design Course.
• Organizing 3D Vision Summer school from 22nd-28th May at IIIT Hyderabad.
• Will be serving as Proceedings Chair at CoDS-COMAD 2023.
• June 14, 2021: Joined IIIT Hyderabad (ML Lab) as an Assistant Professor.
• March 24, 2021: Successfully defended my PhD thesis!
• Feb 10, 2021: Submitted my PhD Thesis "Exploiting Higher-order Structures in Assignment Problems and Geometric Representation Learning". Phew! Sigh of relief! :)
• Sept 26, 2020: Paper titled "Self-Supervised Few-Shot Learning on Point Clouds" has been accepted at NeurIPS 2020.
• August 30, 2020. Honored to receive Excellence in Research Award from IIT Hyderabad.
• July 3, 2020: Paper titled "Simplicial Complex based Point Correspondence between Images warped onto Manifolds" accepted at ECCV 2020.
• March 21, 2020: Paper titled "Learning Representations using Spectral-Biased Random Walks on Graphs" accepted at IJCNN 2020.
• May 14, 2019: Paper titled "Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs (long paper)" accepted at ACL 2019.
• May 12, 2018: Paper titled "Solving Partial Assignment Problems using Random Clique Complexes" accepted at ICML 2018.