Summary
Dima Bykhovsky is a scientific researcher and tenured senior faculty member with 10+ years blending signal processing, soft-sensor development, and machine learning for medical and physical applications. He holds a PhD and postdoctoral work in electro-optics and free-space optical wireless communication, and has applied that rigorous academic foundation to practical problems from acoustic-emission non‑destructive testing to covert-channel anomaly detection. Comfortable both in the lab and the classroom, he teaches stochastic processes, ML, deep learning and Python while leading research projects and experimental campaigns. His background spans industry and defense systems engineering, giving him a rare combination of theoretical modeling, large-scale systems integration, and hands-on experimental implementation. He is based in Be'er Sheva, Israel, and is known for connecting theoretical signal models directly to experimental results and customer-facing reports.
10 years of coding experience
10 years of employment as a software developer
Post. Doc Free-space Optics & Optical Wireless Communication, Post. Doc Free-space Optics & Optical Wireless Communication at Ben-Gurion University of the Negev