News
May 2025
Our paper "Where Grokking Happens: Mechanistic Insights at the Embedding Layer" is now live.
April 2025
Nominated as the founding Chair of the Postdoctoral Research Council at MBZUAI.
April 2025
Delivered a masterclass on AI in Crisis Management at the Global Summit on Crisis and Emergency Management in Abu Dhabi.
February 2025
Research on number representations of LLMs is now on ArXiv.
Background
I am a postdoctoral researcher in Natural Language Processing at MBZUAI, specializing in machine learning optimization and interpretability. My work spans state-space models, neural network optimization, and advancing AI robustness.
Previously, I completed my PhD in Machine Learning at MBZUAI and an MSc in Mechanical Engineering from the joint MIT–Masdar Institute program.
Education
- PhD in Machine Learning, MBZUAI, 2024
- MSc in Mechanical Engineering, Masdar Institute & MIT collaboration, 2018
- BSc in Mechanical Engineering, TTU, 2015
Work Experience
- Postdoctoral Researcher, MBZUAI (present)
- Mechanical Instructor, Institute of Applied Technology (2018–2021)
- Research Assistant, Masdar Institute (2016–2018)
Selected Publications
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
Hilal AlQuabeh, Bhaskar Mukhoty, Giulia De Masi, Huan Xiong, Bin Gu
The Twelfth International Conference on Learning Representations (ICLR), 2024
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
H. AlQuabeh, William de Vazelhes, Bin Gu
AAAI Conference on Artificial Intelligence, 2024
Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory
H. AlQuabeh et al.
Asian Conference on Machine Learning (ACML), 2023
Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition
J. Li, D. Azizov, H. AlQuabeh, S. Liang
ArabicNLP, 2023
Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual Reports
D. Azizov, J. Li, H. AlQuabeh, S. Liang
FNP, 2023
Pairwise Learning via Stagewise Training in Proximal Setting
H. AlQuabeh, A. Abdurahimov
arXiv preprint arXiv:2208.04075, 2022
Computational Complexity of Sub-Linear Convergent Algorithms
H. AlQuabeh, F. AlBreiki, D. Azizov
arXiv preprint arXiv:2209.14558, 2022
Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification
H. AlQuabeh, A. Bawazeer, A. Alhashmi
arXiv preprint arXiv:2108.07464, 2021
Chilled water storage feasibility with district cooling chiller in tropical environment
H. Al Quabeh, R. Saab, M. I. H. Ali
Journal of Sustainable Development of Energy, Water and Environment Systems, 2020
Variable refrigerant flow cooling assessment in humid environment using different refrigerants
R. Saab, H. Al Quabeh, M. I. H. Ali
Journal of Environmental Management 224, 243–251, 2018
For a full and up-to-date list, please see my Google Scholar profile .