Sayyed Ali Mirsoleimani, an Iranian computer scientist and since 2014 Ph.D. Student at the Leiden Centre of Data Science [1], Leiden University and Nikhef, Amsterdam Science Park, and before affiliated with Shiraz University, Shiraz, Iran. His research interests include machine learning, genetic and memetic algorithms, and massive parallel high performance computing using GPU's and the Xeon Phi architecture. Involved in the HEPGAME project [2], he works on Monte-Carlo Tree Search, UCT, and parallel MCTS applied to the games of Go and Hex.
S. Ali Mirsoleimani [3]

Selected Publications

• S. Ali Mirsoleimani, Ali Karami, Farshad Khunjush (2013). A parallel memetic algorithm on GPU to solve the task scheduling problem in heterogeneous environments. GECCO '13, pdf
• S. Ali Mirsoleimani, Aske Plaat, Jaap van den Herik, Jos Vermaseren (2014). Performance analysis of a 240 thread tournament level MCTS Go program on the Intel Xeon Phi. CoRR abs/1409.4297 » Go, MCTS
• S. Ali Mirsoleimani, Aske Plaat, Jaap van den Herik, Jos Vermaseren (2015). Scaling Monte Carlo Tree Search on Intel Xeon Phi. CoRR abs/1507.04383 » Hex, MCTS, Parallel Search, x86-64
• S. Ali Mirsoleimani, Aske Plaat, Jaap van den Herik, Jos Vermaseren (2015). Parallel Monte Carlo Tree Search from Multi-core to Many-core Processors. TrustCom/BigDataSE/|ISPA 2015, pdf
• S. Ali Mirsoleimani, Aske Plaat, Jaap van den Herik (2015). Ensemble UCT Needs High Exploitation. CoRR abs/1509.08434

External Links

• Sayyed Ali Mirsoleimani - Academia.edu
• S. Ali Mirsoleimani - Google Scholar Citations

References

1. ^ Leiden Centre of Data Science - Leiden University
2. ^ People | HEPGAME
3. ^ Sayyed Ali Mirsoleimani - Academia.edu
4. ^ dblp: Sayyed Ali Mirsoleimani

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