PhD, Autonomous Systems and Robotics
A Method for Combined Planning and Control for Hybrid Domains, 2017-2021
Advisors: Erez Karpas & Per-Olof Gutman
MSc, Electrical and Computer Engineering
Intelligent Control and Learning for an Air Hockey Playing Robot, 2013-2016
Supervisor: Nahum Shimkin
BSc, Electrical and Computer Engineering
Major in control theory, signal processing and computers, 2008-2013
Ben Gurion University - Assistant Professor (2024-)
Technion - Teachning Fellow (2023-2024)
University of Toronto - AI Postdoctoral Fellow (2022-2024)
Vector Institute - Faculty Affiliate Researcher (2022-2024)
Technion - Research Fellow (2022-2022)
VMware Research Group – AI Research Intern (2020)
BCAI - Bosch Center for Artificial Intelligence – AI Research Intern (2019)
Rafael – Real-time embedded software engineer (2013)
Omnitech Systems – Infrastructure Architect and Project Manager (2008-2011)
Infrastructure and System Team Leader (2007-2008)
Business Activity Monitoring Software Engineering Team Leader (2006-2007)
Cyber Security Software Engineer (2004-2005)
Advanced Control Theory (Control Systems 2)
Graduate & undergraduate course, Technion ECE
2018-2022
Introduction to Information Technology
undergraduate course, Ben-Gurion University, IEM
2024-2025
Planning and Reinforcement Learning
Graduate course, Ben-Gurion University IEM
2025
Advanced Control Theory (Control Systems 2, 046192)
Graduate & undergraduate course, Technion ECE
2012-2021
Introduction to Robotics (046212)
Graduate & undergraduate course, Technion ECE
2020
Introduction to Control Theory (Control Systems 1, 044191)
Undergraduate course, Technion ECE
2012, 2020
Introduction to Control Theory (034040)
Undergraduate course, Technion ME
2019
Linear Control Laboratory (044193)
Undergraduate course, Technion ECE
2013-2022
Introduction to Control Theory Experiment (044165)
Undergraduate course, Technion ECE
2014-2017
Introduction to Machine Learning Experiment (044166)
Undergraduate course, Technion ECE
2014-2017
Boosting Learning via Influence Graph Reasoning in Factored spaces
Ofek Dadaon, Roi Karp, 2023
Daniel Stumler, Erez Shemesh, 2023
Traffic Control via Deep Reinforcement Learning
David Marder, Alon ben-Arieh, 2023
Leveraged Algo Trading
May Nathan, Dana Tal, 2023
Drones Cooperative Task Execution
Yaniv Hasidof, Yona Robel, 2022
Study of the Components’ Contributions in Reinforcement Learning
Amit Zacharia, Ori Gabai,, 2022
Improving the Accuracy of a Meteorological Model of Winds using Machine Learning
Yuval Mayor, Stav Bely, 2022
Tomer Lotan, Idan Friedman, 2022
Slim online AI network over Crazyfly drone
Elad Paritzky, Raphael Zailer, 2021
Music Taste learning and Playlist Suggestion
Chai Guez, Nathan Ben-Hemo, 2021
Online Execution and Planning of Arial Missions
Hodaya Cohen-Adiv, Yoav Cohen, 2021
Optimal Constrained Path Planning of Arial Missions
Roi Azarzar, Gil Rash, 2020
Optimal Planning and Scheduling of Arial Missions
Bar Mamran, Tom Aviel, 2020
Optimal Elevator Scheduling via Deep Reinforcement Learning
Niv Aronov, Aviran Hazout, 2020
Weather Prediction using Deep Learning for the 2020 Tokyo Olympic Games
Itai Weintraub, Alon Rotbard, 2020
Social Laws Learning in Multi Agents Environment
Roy Gantz, Yoni Keselbrener, 2020
Atmospheric model learning for weather prediction
Ronen Schaffer, Mor Gabay, 2020
Music Generation using Deep Variational AutoEncoder
Itay Issahar, Ella Barel, 2019
Forgotten Baby Syndrome – Vehicle Automated Prevention Measure
Asaf Itzhak, Adam Barhak, 2019 [press]
Roy Maor, Tomer Langa, 2019
Yair Schiff, Raz Petel, 2019
Optimal Planning Algorithm for Generalized Isolated Signalized Intersection
Yoav Levi, 2018 [paper]
Model Based Learning and Iterative Predictive Control Algorithm for Robotic Movement Planning
Morag Tohami, Omer London, 2018
Novel Vehicle Generation via Generative Adversarial Networks
Tamir Paz, Ron Hirsch, 2018
Alzheimer's Disease Stages Classification Using Deep Learning
Jean-Jacques Polakow, Ofir Maimon, 2017
Fast Face Recognition System Using Deep Auto-encoders
Shaked Meirom, Ofir Shomron, 2017
Planning and Scheduling Using Temporal Actions
Michael Novitsky, 2017
Inverted Pendulum Balancing Controller Learning using Deep Reinforcement Learning
Ido Leffel, Yotam Ishay, 2017
Advanced control methods for ball stabilization on a parallel robot
Yotam David, Gal Kedmi, 2017
Development of a Motorized Adaptive Below-Knee Prosthesis Leg
Orit Ariav, Sharon Gordon, 2016
PhD, Autonomous Systems and Robotics:
A Method for Combined Planning and Control for Hybrid Domains
Advisors: Erez Karpas & Per-Olof Gutman
MSc, Electrical and Computer Engineering:
Intelligent Control and Learning for an Air Hockey Playing Robot
Supervisor: Nahum Shimkin
BSc, Electrical and Computer Engineering:
Major in control theory, signal processing and computers