People

Anshuman Chhabra

/engineering/cse/images/000_2024_faculty_pictures/headshot-anshuman.jpg

Assistant Professor

BEH 307 | 8133960688

Email | Homepage | Google Scholar | LinkedIn | GitHub

Biography

Dr. Anshuman Chhabra is an Assistant Professor of Computer Science and Engineering, working on improving next-generation AI models. He obtained his PhD in Computer Science at the University of California, Davis. His research seeks to safeguard users from harm by curbing the negative behavior of foundational ML/AI models as well as real-world systems employing these models. He received the UC Davis Graduate Student Fellowship in 2018 and has held research positions at Lawrence Berkeley National Laboratory (2017), the Max Planck Institute for Software Systems, Germany (2020), and the University of Amsterdam, Netherlands (2022). His research has been internationally recognized by an oral talk acceptance at ICLR 2024 and a spotlight talk acceptance at AAAI 2020.

Research Interests

AI/ML Safety, Multimodal Generative AI, Generative AI for Social Media Harm Mitigation, and Cooperative AI systems.

Teaching Interests

AI/ML, Ethics in Computing, NLP, Data Structures, Algorithms, Theory of Computing

Education

  • PhD in Computer Science, UC Davis, 2023.
  • B.E. in Electronics and Communications Engineering, Netaji Subhas Institute of Technology, University of Delhi, 2018.

Honors and Awards

  • Awarded UC Davis Graduate Fellowship (2018)
  • Received Undergraduate Research Excellence Award by NSIT (2022)
  • Awarded Scholarships for NeurIPS’18, AAAI’20, NeurIPS’22, ICLR’23
  • Invited Talk on Robust Clustering, Brandeis University (Host: Prof. Hongfu Liu)
  • Invited Talk on Fair Hierarchical Clustering, Data Skeptic Podcast (Host: Kyle Polich)
  • Invited Talk on Adversarial Clustering, Uber AI (Host: Ryan Turner)

Key Activities

  • Reviewer for ICLR 2023, 2024
  • Reviewer for ICML 2023, 2024
  • Reviewer for NeurIPS 2024, 2023, 2022
  • Reviewer for TMLR
  • Reviewer for KDD 2023
  • Reviewer for APPROX 2023
  • Reviewer for IEEE Transactions on Artificial Intelligence
  • Reviewer for AFCR Workshop, NeurIPS 2021/2022
  • Reviewer for European Conference on Machine Learning (ECML-PKDD) 2021
  • Reviewer for IEEE Internet of Things Journal
  • Reviewer for IEEE Transactions on Mobile Computing
  • Reviewer for IEEE Systems Journal
  • Reviewer for Ad-hoc Networks Journal (Elsevier)
  • Reviewer for IEEE Access
  • Reviewer for Information Sciences (Elsevier)