Scholar
Hassan Sajjad
Google Scholar ID: t3BH6NkAAAAJ
Faculty of Computer Science, Dalhousie University
Citations & Impact
Citations
4,557
H-index
34
i10-index
64
Publications
20
Co-authors
36
list available
Publications
Resume (English only)
Academic Achievements
- 2025: 2 papers (ICML), 3 papers (NeurIPs, ICLR, EMNLP); 3 workshop papers (TAIG @ICML, LockLLM @NeurIPS, WiNLP @EMNLP); 1 journal paper (IJMIR).
- 2024: 2 papers (NeurIPs), 2 papers (NAACL), 2 papers (EMNLP).
- 2023: 3 conference papers (NeurIPS, ICLR, ACL); 1 journal paper (JMLR); 3 demo papers (AAAI, ACL, EACL).
- Service: Area chair for NeurIPS 2025/24/23, ARR 2025/24; Senior PC for AAAI 2025; Tutorial chair for EMNLP 2023; Reviewer for ICML 2025, TACL.
Research Experience
- Faculty member and Director of HyperMatrix at Dalhousie University. Research areas include language generation, interpretability and explainability, generalization and robustness, open weight model safety, model editing and steering, compositionality, conformal prediction, and LLM agents.
Background
- Associate Professor in the Faculty of Computer Science and Director of HyperMatrix at Dalhousie University, Halifax, Canada. Research interests include Natural Language Processing and Safe and Trustworthy AI.
Miscellany
- Talks:
- - Latent Concept-Based Explanation of NLP Models (CVPR, May 2025)
- - Navigating Latent Space for Safety, Interpretability and Explainability (NYU Abu Dhabi, May 2025)
- - Are LLMs a Good Model of Human Thought? The Challenge of Compositional Learning (Atlantic Canada AI Summit, May 2025)
- - Latent Space Exploration for Safe and Trustworthy AI Models (ACL, Aug. 2024) (Keynote)
- - Latent Space Exploration for Safe and Trustworthy AI Models (MBZUAI, Abu Dhabi, Aug. 2024)
- - Latent Space Exploration for Safe and Trustworthy AI Models (AI@Thomson Reuters, Apr. 2024)
- - Latent Concept based Explanation of Deep Learning Models (MBZUAI, Abu Dhabi, Nov. 2023)
- - Latent Concepts in Transformer Models of NLP (UKP, TU Darmstadt, Germany, Jun. 2023)
- - Knowledge Manifolds in Transformer Models of NLP (National Research Council (NRC), Canada, Apr. 2023)
- - Knowledge Manifolds in Transformer Models of NLP (University of Ottawa, Canada, Apr. 2023)
- Miscellaneous:
- - NeuroX Toolkit: https://pypi.org/project/neurox/
- - SugarCrepe++ Dataset: https://huggingface.co/datasets/Aman-J/SugarCrepe_pp
