Dima Bykhovsky
Electrical and Electronics Engineering Department, SCE
My name is Dima Bykhovsky, and I am a tenured faculty member at SCE college.
My academic career is focused on advancing sensor signal processing across various applied fields through interdisciplinary research and collaborative projects. I integrate innovative measurement techniques, data acquisition methods, and advanced signal analysis to tackle challenges in areas such as infrared (IR) and gamma spectroscopy, as well as acoustics. My research primarily revolves around developing and refining machine and deep learning algorithms for the precise analysis of sensor data.
A detailed list of my publications is available in my Google scholar profile and my brief CV is available via Linkedin profile.
news
| Dec 12, 2024 | I have published my very first opinion paper. |
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| Nov 26, 2024 | I am excited to present the undergraduate project by my students, Ron Manto and Mishel Shagas-Azimov, which they presented at the 32nd IEEE TELFOR conference in Belgrade. |
| Oct 14, 2024 | It was a great honor for me to participate in the new paper of the team leaded by Oshrit Hoffer, published in the Journal of Biophotonics. |
| Sep 25, 2024 | I am now an official institutional AWS Academy central point of contact (CPOC) and Educator. SCE is now on a decent list of AWS academy members. |
| Aug 27, 2024 | Our new paper authored by T. Trigano and me, titled “Deep Learning Based Method for Activity Estimation from Short-Duration Gamma Spectroscopy Recordings” was published in the IEEE Transactions on Instrumentation and Measurement. |
latest posts
| Sep 19, 2024 | Review of free educational resources 2024 |
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| Jun 18, 2024 | Install Tensorflow on WSL with GPU for Dataspell |
| May 6, 2024 | Time-series analysis packages (Python) |