Scholar
Sahil Sidheekh
Google Scholar ID: TlaqOIMAAAAJ
Ph.D. Student - The University of Texas at Dallas. Ex-Verisk AI, Ex-IIT Ropar
Citations & Impact
Citations
196
H-index
8
i10-index
6
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted and presented at international conferences such as UAI 2023, AAAI 2024, ICML 2021; organized a 3-day workshop on Deep Tractable Probabilistic Models; served as a workflow chair for AAAI 2024.
Research Experience
- Currently working at the StARLing Lab, focusing on Probabilistic Generative Models, Neuro-Symbolic AI, and Meta-learning.
Education
- Ph.D. student at The University of Texas at Dallas, supervised by Dr. Sriraam Natarajan; Bachelor's degree in Computer Science and Engineering from IIT Ropar, supervised by Dr. Narayanan C. K.
Background
- Research interests include Probabilistic Generative Models, Neuro-Symbolic AI, and Meta-learning. Aiming to build robust and efficient systems that can reason probabilistically and make interpretable decisions.
Miscellany
- Passionate about connecting dots and innovating ideas that span multiple disciplines; previously worked as an AI/ML Resident at Verisk Analytics.
Co-authors