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Associate Professor
Sulaiman A. Alghunaim is an Assistant Professor at Kuwait University, electrical engineering department. He received his B.S. in electrical engineering from Kuwait University in 2013. He received his M.S. degree in electrical engineering and Ph.D degree in electrical and computer engineering from the University of California, Los Angeles in 2016 and 2020, respectively. His research interests include optimization algorithms design and analysis, as well as their applications in multi-agent systems, control, signal processing, and machine learning. His current research focuses on the design and analysis of distributed optimization and learning algorithms.
Degrees and Certificates
- BS in Electrical Engineering; Kuwait University Kuwait, 2013.
- MS in Electrical Engineering (Control and Signal Processing), University of California Los Angeles Los Angeles, USA, 2016.
- Ph.D in Electrical and Computer Engineering (Control and Signal Processing), University of California Los Angeles Los Angeles, USA, 2020.
Research Interests
Design and analysis of optimization algorithms and their applications in:
- Multi-agent systems (distributed processing)
- Control and signal processing
- Machine learning.
Publications
Selected Publications
- [J] H. Cai, S. A. Alghunaim, A. H. Sayed, ‘‘Diffusion stochastic optimization for min-max problems,’’ IEEE Trans. on Signal Processing, vol. 73, pp. 259-274, 2025. [arXiv]
- [J] S. A. Alghunaim, ‘‘Local exact-diffusion for decentralized optimization and learning,’’ IEEE Trans. Automatic Control, vol. 69, no. 11, pp. 7371-7386, Nov. 2024. [arXiv]
- [J] S. A. Alghunaim and K. Yuan, ‘‘A unified and refined convergence analysis for non-convex decentralized learning,’’ IEEE Trans. on Signal Processing, vol. 70, pp. 3264–3279, June 2022. [arXiv]
- [J] S. A. Alghunaim, Q. Lyu, M. Yan, and A. H. Sayed, ‘‘Dual consensus proximal algorithm for multi-agent sharing problems,’’ IEEE Trans. on Signal Processing, vol. 69, pp. 5568-5579, September 2021.
- [J] S. A. Alghunaim, E. K. Ryu, K. Yuan, and A. H. Sayed, ‘‘Decentralized proximal gradient algorithms with linear convergence rates,’’ IEEE Trans. Automatic Control, vol. 66, no. 6, pp. 2787-2794, June 2021. [arXiv]
- [J] K. Yuan, S. A. Alghunaim, B. Ying, and A. H. Sayed. ‘‘On the influence of bias-correction on distributed stochastic optimization,’’ IEEE Trans. on Signal Processing, vol. 68, 4352-4367, July 2020. [arXiv]
- [J] S. A. Alghunaim and A. H. Sayed, ‘‘Linear convergence of primal-dual gradient methods and their performance in distributed optimization,’’ Automatica, Volume 117, July 2020. [arXiv]
- [C] S. A. Alghunaim, K. Yuan, and A. H. Sayed, ‘‘A linearly convergent proximal gradient algorithm for decentralized optimization,’’ in Advances on Neural Information Processing Systems (NeurIPS), volume 32, Vancouver, Canada, December 2019. [arXiv]