- Biologically-Inspired Computing
- Machine Learning
- Artificial Intelligence
- Emergent Behavior from Complex System
- Learning with Noisy Information, Parallel Computing.
I am a Postdoctoral Research Associate at the College of Information and Computer Sciences at the University of Massachusetts Amherst.
My research projects focus on computation models of biologically inspired neuronal systems and their emergent behavior, such as biologically inspired independent nonlinear models that learn and adapt to their environment.
I have also worked on projects in data analysis of brain imaging, brain modeling of left and right hemispheres and a brain-computer interface נusing a closed loop system on a cortical neuronal tissue.
I completed my Ph.D. and M.Sc. in computer science at the University of Haifa in 2014 and 2007, under the supervision of Prof. Larry Manevitz.
I completed my B.A. in Exact Sciences from Ashkelon College and Bar-Ilan University in 2003.
In 2014 – 2017, I worked as a postdoctoral researcher at the Network Biology Research Laboratories at the Technion – Israel Institute of Technology under the supervision of Prof. Noam Ziv and Prof. Shimon Marom.
Our research main goal is to develop a superior AI – improving both learning efficiency and energy efficiency by increasing our understanding of the mechanisms that underlie biological intelligence and substantially advancing the state of the art in artificial intelligence.