Research output per year
Research output per year
Personal profile
Biography
Alireza Olama, a researcher at Åbo Akademi University, specializes in mathematical optimization, distributed and federated machine learning, and software development. Holding a Ph.D. from the Federal University of Santa Catarina, Brazil, he has developed the SCOT project—an open-source distributed optimization solver. His work extends to large-scale optimization problems and addresses complexities in distributed machine learning.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, A distributed framework for sparse convex optimization: algorithms and software tools
1 Feb 2019 → 10 Aug 2023
Award Date: 10 Aug 2023
Master, Lyapunov Based Hybrid Model Predictive Control
Award Date: 2 Sept 2017
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Collaborations and top research areas from the last five years
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Sparse convex optimization toolkit: a mixed-integer framework
Olama, A., Camponogara, E. & Kronqvist, J., 2023, In: Optimization Methods and Software. 38, 6, p. 1269-1295Research output: Contribution to journal › Article › Scientific › peer-review
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A distributed framework for sparse convex optimization: algorithms and software tools
Olama, A., 10 Aug 2023, Universidade Federal de Santa Catarina Editora.Research output: Types of Thesis › Doctoral Thesis › Monograph
Open Access -
Relaxed hybrid consensus ADMM for distributed convex optimisation with coupling constraints
Olama, A., Bastianello, N., R.C. Mendes, P. & Camponogara, E., 1 Nov 2019, In: IET Control Theory and Applications.Research output: Contribution to journal › Article › Scientific › peer-review
9 Citations (Scopus) -
A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization
Olama, A., Carnevale, G., Notarstefano, G. & Camponogara, E., 2023, 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, p. 2360-2365Research output: Chapter in Book/Conference proceeding › Conference contribution › Scientific › peer-review
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Distributed primal outer approximation algorithm for sparse convex programming with separable structures
Olama, A., Camponogara, E. & Mendes, P. R. C., 2023, In: Journal of Global Optimization. 86, p. 637-670 34 p., 3.Research output: Contribution to journal › Article › Scientific › peer-review
2 Citations (Scopus)
Activities
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Distributed Interpretable Machine Learning on GPUs
Olama, A. (Speaker), Lundell, A. (Contributor) & Kronqvist, J. (Contributor)
30 Jun 2024 → 4 Jul 2024Activity: Talk or presentation › Conference presentation
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A Distributed Framework for Sparse Convex Optimization: Algorithms and Software Tools
Olama, A. (Speaker)
26 Jan 2024Activity: Talk or presentation › Public or invited talk
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The Royal Institute of Technology (KTH)
Olama, A. (Visiting researcher)
22 Jan 2024 → 1 Feb 2024Activity: Visiting an external institution › Visiting an external academic institution