Dr. Dima Bykhovsky

Dr. Dima Bykhovsky

D. Bykhovsky received B.Sc. in Electrical and Computer Engineering (1999) and M.Sc. and Ph.D. in Electro-Optical Engineering (2004, 2014) from Ben-Gurion University of the Negev, Israel. Since 2014, he has served as a faculty member at the Electrical and Electronics Engineering Department. His main research interest is communication channels modeling and simulation. He is a senior member of IEEE

Profile

Electrical and electronics engineering
Senior Lecturer
Be'er Sheva
Be'er Sheva

Be'er Sheva

311 Einstein(40)
Social network

Social network

Linkedin

Education

2014: Ph.D. in Electrooptics, Ben-Gurion University of the Negev, Israel.

2004: M.Sc. in Electrooptics, Ben-Gurion University of the Negev, Israel.

1999: B.Sc. in Electrical and Computer Engineering, Ben-Gurion University of the Negev, Israel.

Research

Digital forensics & cyber-security

Numerical modeling of stochastic processes by stochastic differential equations

Optical wireless/free-space communication

Optical devices

Courses

Random Processes

Digital Signal Processing

Mobile Communication

Introduction to Communication

Digital Systems

Publications

M. Guri, B. Zadov, D. Bykhovsky and Y. Elovici, "PowerHammer: Exfiltrating Data From Air-Gapped Computers Through Power Lines," in IEEE Transactions on Information Forensics and Security, vol. 15, pp. 1879-1890, 2020.

D. Bykhovsky, “Simple Generation of Gamma, Gamma-Gamma and K Distributions with Exponential Autocorrelation Function,” IEEE/OSA Journal of Lightwave Technology, vol. 34, issue 9, pp. 2106-2110 ,2016.

D. Bykhovsky and S. Arnon, “An experimental comparison of different bit-and-power-allocation algorithms for DCO-OFDM,” IEEE/OSA Journal of Lightwave Technology, vol. 32, issue 8, pp. 1559-1564, 2014.

D. Bykhovsky and S. Arnon, “Multiple-access resource allocation in visible light communication systems”, IEEE/OSA Journal of Lightwave Technology, vol. 32, issue 8, pp.1594-1600, 2014.

D. Bykhovsky and A. Cohen, “Electrical network frequency (ENF) maximum-likelihood estimation via a multi-tone harmonic model,” IEEE Transactions on Information Forensics & Security, vol.8, no.5, pp.744-753, May 2013.