Dima Bykhovsky
Electrical and Electronics Engineering Department, SCE
My name is Dima Bykhovsky, and I am a tenured faculty member at SCE college.
My specialization in soft-sensors (sensor signal processing) that transforms raw sensor data into actionable information. My current research combines signal processing with machine and deep learning, with applications in gamma-ray spectroscopy, biomedical spectroscopy and imaging (FTIR, Raman, ultrasound, thermal), and acoustic sensing.
A detailed list of my publications is available in my Google scholar profile and my brief CV is available via Linkedin profile.
news
| Aug 18, 2026 | Our open-access paper on deep learning based pile-up correction for high-count-rate gamma spectroscopy, written together with the team of the Chinese Academy of Sciences and T. Trigano, was featured by the Sensors editorial team. |
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| Jul 13, 2026 | Machine learning competition in the Introduction to Machine Learning course |
| May 25, 2026 | Our new paper on automated detection and characterization of aluminum agglomerates in solid propellant combustion was published in the Journal of Propulsion and Power. The accepted manuscript is self-archived here. |
| Jan 10, 2026 | Press coverage of the recent Nvidia workshop |
| May 12, 2025 | Plenary speaker |
latest posts
| May 11, 2026 | Spurious Correlations |
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| Feb 5, 2026 | Interesting AI links |
| Jan 12, 2026 | Review of Interpretability and Stability in Soft Sensors |