People
Faculty
Entrepreneur by spirit, scientist and engineer by training, and an artist by vocation, looking for challenging world-changing problems.
Prof. Alex Bronstein
Head of VISTA Laboratory
I am an entrepreneur by spirit, technologist and engineer by profession, scientist and researcher by education, and an artist by vocation, looking for challenging problems that have a world-changing scope. I have both academic and industrial research and development experience and I am an active scientist and technologist in both worlds.
My principal interests currently lie on the boundary between image processing, computational imaging, computer vision, machine learning and computational geometry in applications attempting to make an order in and create new user experiences with visual and other types of data.
Administrative & Lab Engineers
Lab Engineer
Ori Bryt
Lab Engineer
System engineer
Alon Gil-Ad
System Engineer
Administrative Assistant
Tamir Gadot
Administrative Assistant
Ph.D. Students
Adversarial attacks and Robustness
Tsachi Blau
Deep Learning & Machine Learning for Medical Signals
Yonatan Elul
Learning on dynamic graphs
Or Feldman
Deep learning for temporal data analysis
Barak Gahtan
Efficient learning with compromised labels
Moshe Kimhi
Adversarial attacks and robustness
Yaniv Nemcovsky
Tamir Shor
Medical Imaging, Deep Learning, Computer Vision
Sanketh Vedula
Machine learning for medical applications
Dean Zadok
M.Sc. Students
Lidar and vision multi-modal learning
Ron Alfia
Interpretability of deep learning
Maor Dikter
Deep learning for sport applications
Peter Elias
Learning cell dynamics from perception
Lion Halika
Research Associates & Assistants
Deep Learning, Signal Processing of medical signals
Dr. Aviv Rosenberg
Former
Prof. Avi Mendelson
Visiting Professor 2017-2023
Dr. Michael Zibulevsky
Adjunct Professor 2017-2023
Anna Kleiner
Administrative Assistant 2017-2024
VISTA lab engineer
Matan Jacoby
Lab Engineer 2017-2022
Researcher
Dr. Alexander Masley
Researcher 2019-2023
Adi Weinberger
Researcher 2018-2023
Hardware implementation of Deep Learning algorithms
Yevgeny Yermolin
Research assistant, 2019-2021
Tom Palny
Researcher 2018-2019
Postdoc at Stanford University & Facebook AI Research
Dr. Or Litany
Ph.D student & Post-doc, 2014-2018
Deep Learning, Signal Processing, Physics Informed Learning Methods
Dr. Eyal Rozenberg
Ph.D. 2019-2024
Deep Learning Algorithms and Hardware, Computer Vision
Dr. Brian Chmiel
M.Sc, 2018-2020; Ph.D., 2020-2023
Computer Vision and Deep Learning Researcher at IBM
Dr. Eli Schwartz
M.Sc, 2017-2018; Ph.D. 2018-2023
Medical Imaging, Deep Learning, Computer Vision
Dr. Tomer Weiss
Ph.D. 2018-2023
Three-dimensional Vision & Numerical Geometry
Dr. Amit Boyarski
Ph.D. 2016-2022
Eden Grad
M.Sc. 2023-2024
Deep Learning, Signal Processing
Ben Finkelshtein
M.Sc. 2020-2022
Deep Learning, Signal Processing
Tom Hirshberg
M.Sc. 2020-2022
Computer vision, Machine learning algorithms and hardware
Evgenii Zheltonozhskii
M.Sc. 2017-2022
Deep Learning, Computer Vision, Computational Imaging
Omer Dahary
M.Sc. 2019-2021
Nir Diamant
M.Sc. 2019-2021
Maria Tunik Schmidt
M.Sc. 2017-2021
Medical Imaging, Deep Learning, Computer Vision
Ortal Senouf
M.Sc. & Researcher, 2017-2020
Senior FPGA engineer, Elbit Systems
Natan Liss
M.Sc. 2017-2019
Yochai Zur
M.Sc. 2017-2019
Idan Hasson
M.Sc. 2016-2018
Signal & Image Processing
Leonhard Sommer
Intern from TUM, 2018