Hilal Alquabeh
Assistant Teaching Professor and Research Scientist
Research Interests
Professor Alquabeh's research spans AI interpretability, state-space architectures, spiking neural networks, and optimization for sequence modeling, with applications in NLP, and vision. Email
Prior to joining MBZUAI, Professor Alquabeh has 8 years of experience, including 5 in artificial intelligence and 3 in engineering education.
- PhD in Machine Leraning
- MSc in Mechanical Engineering
- Postdoctoral Researcher with Prof. Kentaro Inui
- Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks in ICLR 2025.
- RECALL: Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles in ACL 2025.
- The geometry of numerical reasoning: Language models compare numeric properties in linear subspaces in NACCL 2025.