Research๐ก
Present
Nowadays, I focus on machine learning, deep learning, evolutionary computation, and general issues regarding AI.
Past
Previously, I dabbled in: artificial life, artificial self-replication, bio-inspired computing, cellular automata, cellular computing,โ embryonic electronics, evolutionary robotics, evolvable hardware, fuzzy logic, game AI, search-based software engineering, and artificial neural networks (before they became deep learning…).
Honors
โ Top scientist โ Top 2% in the Mendeley list โ 5 Scientists At The Forefront Of Computing And AI โ HUMIE Award x 6 โ IEEE CIS Outstanding TCIAIG Paper Award โ BGU Toronto Prize for Academic Excellence in Research โ EPFL Latsis Prize
โGrad Studentsโ (past and present)
ืึดืึผึธื ืชึผึทืึฐืึดืืึทื ืึดืฉืึฐืึผึทืึฐืชึผึดื
โ Tal Alter โ Itay Azaria โ Yaniv Azaria โ Gali Barabash Katz โ Amit Benbassat โ โMati Bot โ Carmel Bregman โ Mathieu S. Capcarrรจre โ Tal Cohen โ Avinoam David โ Achiya Elyasaf โ Assaf Glazer โ Rotem Golan โ Tomer Halperin โ Zvika Haramaty โ Yehudit Hasson โ Ami Hauptman โ Tor Ivry โ โRam Janovski โ Shalom Kachko โ Ilan Kadar โ Raz Lapid โ Shahar Michal โ Eylon Mizrahi โ Barak Naveh โ Michael Orlov โ Carlos-Andres Peรฑa-Reyes โ Hagai Ravid โ Itay Reznik โ Eyal Segal โ Shai Sharabi โ Ohad Sharet โ Yonatan Shichel โ Sergey Tatarenko โ Itai Tzruia โ Snir Vitrack Tamam โ Kfir Wolfson โ Assaf Zaritsky โ Yael Zaritsky โ Roee Ziv
Tips for Approaching a Prospective Academic Grad Advisor
