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Omid Eli David,
Ph.D. in Computer Science, and the author of chess engines Genesis and Falcon (which participated in several World Computer Chess Championships). His main research areas are evolutionary computation, machine learning, and computer games. Omid's Ph.D. thesis focused on applying genetic algorithms for automatically learning the parameters of a chess program's evaluation function and selective search. His paper titled Genetic Algorithms for Mentor-Assisted Evaluation Function Optimization was the winner of GECCO 2008 Best Paper Award in Real-World Applications track. Several of his earlier computer chess papers are on selective search, and especially variations on null-move pruning. In 2016, he was awarded best paper in ICAAN 2016 for DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess ^{[1] [2] [3]}.

Selected Publications

^{[4] [5]}

2002 ...

• Omid David, Nathan S. Netanyahu (2002). Verified Null-Move Pruning. ICGA Journal, Vol. 25, No. 3
• Omid David (2003). The 11th World Computer-Chess Championship. ICGA Journal, Vol. 26, No. 4 » WCCC 2003
• Omid David, Ariel Felner, Nathan S. Netanyahu (2004). Blockage Detection in Pawn Endings. CG 2004, pdf
• Omid David, Ariel Felner, Nathan S. Netanyahu (2004). Blockage Detection in Pawn Endgames. ICGA Journal, Vol. 27, No. 3
• Omid David (2004). The 12th World Computer-Chess Championship. BNVKI, Belgium-Netherlands Association for Artificial Intelligence, Vol. 21, No. 4, pp. 84--85, August 2004

2005 ...

• Omid David (2005). Search and Knowledge-Based Innovations in Computer Chess. Master's Thesis
• Omid David, Nathan S. Netanyahu (2008). Extended Null-Move Reductions. CG 2008, pdf
• Omid David, Moshe Koppel, Nathan S. Netanyahu (2008). Genetic Algorithms for Mentor-Assisted Evaluation Function Optimization. GECCO '08
• Omid David (2008). The 16th World Computer-Chess Championship. ICGA Journal, Vol. 31, No. 3 » WCCC 2008
• Omid David (2008). The 16th World Computer Speed-Chess Championship. ICGA Journal, Vol. 31, No. 3
• Omid David, Jaap van den Herik, Moshe Koppel, Nathan S. Netanyahu (2009). Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions. GECCO '09
• Omid David (2009). Genetic Algorithms Based Learning for Evolving Intelligent Organisms. Ph.D. Thesis

2010 ...

• Omid David, Nathan S. Netanyahu, Yoav Rosenberg, Moshe Shimoni (2010). Genetic Algorithms for Automatic Classification of Moving Objects. GECCO '10
• Omid David, Moshe Koppel, Nathan S. Netanyahu (2010). Genetic Algorithms for Automatic Search Tuning. ICGA Journal, Vol. 33, No. 2
• Omid David, Moshe Koppel, Nathan S. Netanyahu (2010). Optimizing Selective Search in Chess. International Conference on Machine Learning (ICML) - Workshop on Machine Learning and Games, June 2010.
• Omid David, Moshe Koppel, Nathan S. Netanyahu (2011). Expert-Driven Genetic Algorithms for Simulating Evaluation Functions. Genetic Programming and Evolvable Machines, Vol. 12, No. 1, pp. 5--22, March 2011.
• Omid David, Nathan S. Netanyahu, Yoav Rosenberg (2011). Genetic Algorithms for Automatic Object Movement Classification. International Conference on Convergence and Hybrid Information Technology (ICHIT), LNCS, Vol. 6935,Springer
• Omid David, Jaap van den Herik, Moshe Koppel, Nathan S. Netanyahu (2014). Genetic Algorithms for Evolving Computer Chess Programs. IEEE Transactions on Evolutionary Computation, pdf ^{[6] [7]}
• Omid E. David, Jaap van den Herik, Moshe Koppel, Nathan S. Netanyahu (2014). Team Omid E. David wins the 11th Annual “Humies” Award. ICGA Journal, Vol. 37, No. 4

2015 ...

• Omid E. David, Nathan S. Netanyahu (2015). DeepSign: Deep learning for automatic malware signature generation and classification. IJCNN 2015
• Omid E. David, Nathan S. Netanyahu, Lior Wolf (2016). DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess. ICAAN 2016, Lecture Notes in Computer Science, Vol. 9887, Springer, pdf preprint » DeepChess ^{[8] [9]}
• Dror Sholomon, Omid E. David, Nathan S. Netanyahu (2016). DNN-Buddies: A Deep Neural Network-Based Estimation Metric for the Jigsaw Puzzle Problem. ICAAN 2016, Lecture Notes in Computer Science, Vol. 9887, Springer ^[10]

External Links

• Dr. Eli David – Deep Learning and Evolutionary Computation Researcher
• Omid David's ICGA Tournaments

References

1. ^ ICANN 2016 | Recipients of the best paper awards
2. ^ Facebook - Bar-Ilan University, September 14, 2016
3. ^ Omid E. David, Nathan S. Netanyahu, Lior Wolf (2016). DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess. ICAAN 2016, Lecture Notes in Computer Science, Vol. 9887, Springer, pdf preprint » DeepChess
4. ^ ICGA Reference Database (pdf)
5. ^ DBLP: Omid David
6. ^ Jaap van den Herik wint Humies Award 2014 - LIACS - Leiden Institute of Advanced Computer Science
7. ^ GECCO 2014
8. ^ DeepChess: Another deep-learning based chess program by Matthew Lai, CCC, October 17, 2016
9. ^ ICANN 2016 | Recipients of the best paper awards
10. ^ Jigsaw puzzle from Wikipedia

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