Scholar
Abhishek Das
Google Scholar ID: t6exkOAAAAAJ
Prev: FAIR, Meta
Citations & Impact
Citations
39,225
H-index
32
i10-index
38
Publications
20
Co-authors
22
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Released multiple datasets and pre-trained models such as OC22, ODAC23, etc.
- - Developed a new GNN model EquiformerV2.
- - Won several awards including Runner-up for the 2020 AAAI/ACM SIGAI Doctoral Dissertation Award, Georgia Tech Sigma Xi Best PhD Thesis Award, etc.
- - Organized multiple academic conferences and challenges like Visual Dialog Challenge, Visually-Grounded Interaction & Language Workshop, etc.
- - Delivered talks and presented research findings at top-tier conferences including ICML, CVPR, etc.
Research Experience
- - Meta Fundamental AI Research (FAIR), 2020-2024
- - Internship at Facebook AI Research: Summer 2017, Spring 2018, Summer 2018
- - Internship at DeepMind: Winter 2019
- - Internship at Tesla Autopilot: Summer 2019
- - Research work during Georgia Tech: Focused on building artificial agents that can see, talk, and act.
Education
- - Bachelor's Degree: IIT Roorkee, 2011-2015
- - PhD: Georgia Tech, 2017-2020, Advisor: Dhruv Batra, closely worked with Devi Parikh
Background
- - Research Interests: Deep neural networks and its applications in climate change, specifically focusing on electrocatalyst discovery for renewable energy storage as part of the Open Catalyst Project.
- - Professional Field: Computer vision, language modeling, reinforcement learning.
- - Brief Introduction: Previously, a Research Scientist at Fundamental AI Research (FAIR) at Meta, focusing on developing artificial agents that can see, talk, and act.
Miscellany
- - Co-founded Caliper, which helps recruiters evaluate practical AI skills.
