Dr. Igal Bilik


Assistant Professor
School of Electrical and Computer Engineering
Faculty of Engineering Sciences

Research Interests

Radar signal processing for civilian and military applications
§Automotive radars
§Radars for autonomous drones
§Drone detection
§Internet of things (gesture recognition, home automation, ….)
§Health monitoring (heart rate, blood pressure, elderly monitoring,...)
Deep learning-based signal processing
§Derivation of new theories for statistical signal processing for various applications
using DNN and learning algorithms.
Detection and estimation theory 

Neural Network-Based Multi-Target Detection within Correlated Heavy-Tailed Clutter

This work addresses the problem of range-Doppler multiple target detection in a radar system in the presence of slow-time correlated and heavy-tailed distributed clutter.
In this work, a deep learning-based approach is proposed for multiple target detection in the range-Doppler domain.
The proposed approach considers a unified NN model to process the time-domain radar signal for a variety of signal-to-clutter-plus-noise ratios (SCNRs) and clutter distributions, which simplifies the detector architecture and the neural network training procedure.

 

 
Acute Influence of Low-Power Pulsed Electromagnetic Field on Human Red Blood Cells

The growing need for fast communication in the radiofrequency range (RF-PEMF) raises the question of health risk assessment for humans and animals exposed to GHz frequencies. Among the observations supporting these concerns are potential pro-cancerogenic effects, interference with neuronal activity, and an increase in aggregability of RBCs, that may compromise oxygen delivery to the tissues upon exposure of humans to RF-PEMF. Molecular mechanisms of the interaction of EMF with living cells are poorly understood. This project focuses on the systematic
examination of the possible mechanisms of interaction of ELF-PEMF and RF-PEMF with human RBCs.

Dr. Igal Bilik received B.Sc., M.Sc., and Ph.D. degrees in electrical and computer engineering from the Ben-Gurion University of the Negev, Beer Sheva, Israel, in 1997, 2003, and 2006, respectively.

During 2006–2008, he was a postdoctoral research associate in the Department of Electrical and Computer Engineering at Duke University, Durham, NC. During 2008-2011, he has been an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts, Dartmouth. During 2011-2019, he was a Staff Researcher at GM Advanced Technical Center, Israel, leading automotive radar technology development. Between 2019-2020 he was leading Smart Sensing and Vision Group at GM R&D, where he was responsible on development state-of-art automotive radar, lidar and computer vision technologies. Since Oct. 2020, Dr. Bilik is an Assistant Professor in the School of Electrical and Computer Engineering at the Ben-Gurion University of the Negev. Dr. Bilik  has more than 170 patent inventions, authored more than 60 peer-reviewed academic publications, received the Best Student Paper Awards at IEEE RADAR 2005 and IEEE RADAR 2006 Conferences, Student Paper Award in the 2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, and the GM Product Excellence Recognition in 2017.  
Dr. Bilik’s main research interests are in sensing for autonomous platforms, radar systems design, array and statistical signal processing, deep neural network-based sensing, and cognitive radar.

Igal Bilik, PhD
Assistant Professor,  
School of Electrical and Computer Engineering, 
Ben Gurion University of the Negev, Israel 
Mobile: +972-53-3380174

Emailbilik@bgu.ac.il