Moshe Sipper

Moshe Sipper

Research๐Ÿ’ก

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

โ€‹Grad Studentsโ€‹ (past and present)
ืžึดื›ึผึธืœ ืชึผึทืœึฐืžึดื™ื“ึทื™ ื”ึดืฉื‚ึฐื›ึผึทืœึฐืชึผึดื™

โ—‡ Tal Alter โ—‡ Itay Azaria โ—‡ Yaniv Azaria โ—‡ Gali Barabash Katz โ—‡ Amit Benbassat โ—‡ โ€‹Mati 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—‡ โ€‹Ram 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

Publications

Tips for Approaching a Prospective Academic Grad Advisor