About Us
Welcome! We are the HyperMatrix research lab at Dalhousie University, Halifax, Canada, directed by Prof. Hassan Sajjad. We conduct cutting-edge research in Artificial Intelligence, focusing on Natural Language Processing, Deep Learning, and Safe and Trustworthy AI.
Our mission is to advance the field of AI by making models that are not only powerful but also transparent, safe, and aligned with social needs. Our research interests include language generation, interpretability, explainability, generalization, robustness, and model editing—all with the aim of developing trustworthy AI systems.
News
- Accepted Papers 2024: 2 papers (NeurIPS), 2 papers (NAACL), 2 papers (EMNLP)
- Accepted Papers 2023: 3 conference papers (NeurIPS, ICLR, ACL), 1 Journal (JMLR), 3 demo papers (AAAI, ACL, EACL)
- NeurIPS 2023: Evaluating Neuron Interpretation Methods of NLP Models
- ICLR 2023: Learning Uncertainty for Unknown Domains with Zero-Target-Assumption
- JMLR 2023: Discovering Salient Neurons in deep NLP models
- ACL Demo 2023: NeuroX 2.0 Library for Neuron Analysis of Deep NLP Models
- ACL findings 2023: Impact of Adversarial Training on Robustness and Generalizability of Language Models
Research Staff
Hassan Sajjad
Prof. Dr. and Head of HyperMatrix
David Arps
PhD student
Domenic Rosati
PhD student
Paolo Gajo
PhD student
Hamad Rizwan
PhD student
Sher Badshah
PhD student
Xuemin Yu
PhD student
Research Collaborators
Enyu Ye
Undergraduate student
Marzia Nouri
Undergraduate student
Alumni
Manpreet Singh
Master student
Magen Cao
Bachelor student
Organizations
Our research is supported by:
Find us
We are located at 6050 University Ave, Halifax, NS B3H 1W5 (→ directions).
Faculty of Computer Science, Dalhousie University, Halifax, NS