معرفی
Alireza Olama is a Postdoctoral Researcher in the Department of Information Technology at Åbo Akademi University's Faculty of Science and Engineering. His work bridges parallel and distributed computing with machine learning and numerical optimization, contributing to the UN Sustainable Development Goals through algorithmic advancements.
- Doctoral research: Distributed framework for sparse convex optimization (2019, Universidade Federal de Santa Catarina)
- Master's thesis: Lyapunov Based Hybrid Model Predictive Control (2017)
Research spans:
- Developing novel algorithms for distributed convex optimization (e.g., ADMM variants, Augmented Lagrangian methods)
- Creating software tools for sparse convex programming
- Applying optimization techniques to energy management systems
- Advancing GPU-accelerated machine learning frameworks
Recent publications focus on ℓ0 sparsity, distributed consensus optimization, and hybrid control systems. Active in the academic community through conference presentations and collaborations with institutions like Norwegian University of Science and Technology (NTNU) and KTH Royal Institute of Technology.
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