Wafik Aboualim
M.S. thesis student in computer science at the University of Pittsburgh.
I am a Master's thesis student at the University of Pittsburgh specializing in machine learning and reinforcement learning. My work focuses on algorithms that connect theory and practice, especially for real-world decision-making and optimization problems.
I am particularly interested in applied ML/RL, algorithms with predictions, and quantum computing.
Email: wat29 [at] pitt [dot] edu.
GitHub: Wafik20.
Research Interests
- Machine learning and reinforcement learning
- Algorithms with predictions and decision-making under uncertainty
- Optimization and resource allocation
- Quantum computing
Papers
- Carbon-Aware Dynamic Parallelism for Distributed Training
ACM Energy Informatics Review, HOTCARBON 2026 proceedings. Volume 6, Issue 2, July 2026.
- Hybrid Combinatorial Multi-Armed Bandits for Discrete Resource Allocation Under Fairness Constraints
Technical report. 2026. PDF
Selected Writing
News
- Paper accepted to HotCarbon 26'Our paper Carbon-Aware Dynamic Parallelism for Distributed Training was accepted to HotCarbon 26' and will appear in the ACM Energy Informatics Review proceedings.
- Joined the ReDSCAIP Lab at PittStarted working with Prof. Micheal Colaresi at the ReDSCAIP Lab on forecasting political violence.
- Started Thesis Master at PittBeginning my thesis Master program at the University of Pittsburgh.
- Selected for Qiskit Advocate Program 2.0Selected as part of the Qiskit Advocate Program 2.0, a global initiative recognizing individuals who actively contribute to the open-source Qiskit ecosystem and the broader quantum computing community.