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Rate My Professor Hassan Sajjad

Dalhousie University

Ratings & reviews

5.08/20/2025

Makes complex topics easy to understand.

4.02/27/2025

Always clear, engaging, and insightful.

5.02/11/2025

I truly appreciated how approachable and understanding you were. You made it easy to ask for help and always responded with kindness.

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About Hassan

Hassan Sajjad is an Associate Professor in the Faculty of Computer Science at Dalhousie University, Halifax, Canada, a position he has held since August 2022. He serves as the Director of the HyperMatrix Research Lab, which conducts research in artificial intelligence with a focus on natural language processing, deep learning, and safe and trustworthy AI. His work explores critical areas such as interpretability and explainability of neural networks, generalization and robustness, language generation, model editing, steering, compositionality, conformal prediction, and LLM agents. Prior to Dalhousie, Sajjad was Senior Research Scientist at the Qatar Computing Research Institute (QCRI), HBKU, from January 2021 to August 2022, where he managed projects on machine translation and neural network interpretation. He previously served as Research Scientist at QCRI from 2014 to 2020, leading machine translation development and commercialization, including collaborations with MIT and the H2020 SUMMA project, and as Post-doctoral Researcher at QCRI from 2013 to 2014 on dialectal Arabic machine translation. Sajjad earned his PhD in Computer Science (Magna Cum Laude) from the University of Stuttgart, Germany, in 2012, with a thesis on statistical models for unsupervised, semi-supervised, and supervised transliteration mining. He holds an MS (2007) and BSc (2005) from the National University of Computer and Emerging Sciences, Pakistan, and interned at Microsoft Research in 2011.