Sasha Apartsin

Senior Lecturer, School of Computer Science, Holon Institute of Technology

Researcher, Afeka Interdisciplinary Center for Social Good Generative AI

Research

My research focuses on applying deep generative models to challenges in natural language processing, computer vision, and robotics. A central theme is the development of synthetic data generation techniques to support the training, fine-tuning, and evaluation of AI models, particularly in domains such as education, healthcare, and defense, where labeled real-world data is often scarce or inaccessible. I am also especially interested in anomaly detection tasks, with a focus on generating synthetic anomalous data to overcome the inherent scarcity of labeled anomalies.

Education

1995: Technion, BSc in Computer Science (4-year track)

2004: Weizmann Institute of Science, MSc in Computer Science

2006: Polytechnic Institute of NYU, MSc in Management

2012: Tel-Aviv University, PhD in Computer Science

2013: Weizmann Institute of Science, Post-doctoral Fellowship

Teaching

Hands-on Science courses:
- Deep Generative Models (HIT CS undergrad 2025F/S, BIU grad DS 2026S)
- Large Language Models (HIT undergrad CS 2025F/S, 2026S, HIT undergrad DH 2025S, 2026F, BIU grad DS 2025F)
- Embodied Vision Models (Image Processing and Computer Vision BIU SE 2020F, BIU SE 2026S, TAU 2013S, 3D Vision MTA 2012 )

Machine Learning and Data Science courses:
- Introduction to Data Science and Big Data Processing (TAU, 2018)
- Machine Learning (MTA, 2012)

Computer Science and Software Engineering courses:
- Introduction to Computer Science (HIT CS undergrad 2024F)
- Computer Networking (HIT CS undergrad, 2024F)
- Requirements Engineering (MTA, 2013)
- Cellular Communications (MTA, 2011)

Student Supervision

O. Marom, 3D Vision for vegetation root monitoring, 2013
A. Gusin, Automatic tagging of browser bookmarks, 2013
R. Mishael, Joint segmentation and super resolution, 2018
D. Basson, Curriculum learning for image classification, 2019
Y. Galifat, Deep learning model optimization via selective inferencing, 2020
B. Kartz, Detection of human interactions in egocentric video, 2020
I. Efrosman, D. Cohen, Image mosaicking using SLAM techniques, 2021
Y. Goren, Interjection speech recognition, 2021
E. Reis, M. Sidon, Recognition of control elements in vehicle dashboards, 2023
A. Sahulu, Object detection in haze, 2023
R. Hirsch, Yarom Swisa Classification of dark images, 2024
Y. Rika, B. Kedarya, R. Zakian, Audio alarm detection, 2024
I. Adamenko, O. Ben-Aharon, Extreme de-warping using diffusion models, 2025
T. David, A. Cohen, Photo tagging via graph knowledge propagation, 2025
Y. Liziakin Active vision for Areal Imaging, In progress
M. Chazanovitz, Strategic image acquisition for VQA, In progress

Industry Positions

2020-2024: Questar Automotive, Head of Data Science
2019-2020: Harmon.IE, VP of Artificial Intelligence
2015-2019: Motorola Solutions, Israel Innovation Center, Head of Research
2013-2015, Citi, TLV Innovation Lab, AVP Data Science
1991-2013: Various Software Companies, Developer/Chief Architect/CTO/Founder

Publications

Apartsin, A., Ferapontova, E., & Gurvich, V. (1998). A circular graph—counterexample to the Duchet kernel conjecture. Discrete Mathematics, 178(1-3), 229-231
Galun, M., Apartsin, A., & Basri, R. (2005, June). Multiscale segmentation by combining motion and intensity cues. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) (Vol. 1, pp. 256-263). IEEE
Apartsin, A., & Intrator, N. (2008). A data fusion and multiple ping method for improving the resolution of low‐power acoustic and seismic sensing. The Journal of the Acoustical Society of America, 124(4_Supplement), 2597-259
Apartsin, A., Cooper, L. N., & Intrator, N. (2010, August). SNR-dependent filtering for Time Of Arrival estimation in high noise. In 2010 IEEE International Workshop on Machine Learning for Signal Processing (pp. 427-431). IEEE
Apartsin, A., Cooper, L. N., & Intrator, N. (2011, January). Biosonar-inspired source localization in low SNR. In International Conference on Bio-inspired Systems and Signal Processing (Vol. 2, pp. 399-404). SCITEPRESS
Apartsin, A., Cooper, L. N., & Intrator, N. (2012). Semi-coherent time of arrival estimation using regression. The Journal of the Acoustical Society of America, 132(2), 832-837
Apartsin, A., Cooper, L. N., & Intrator, N. (2013). Time-of-flight estimation in the presence of outliers. Part I—Single echo processing. IEEE transactions on geoscience and remote sensing, 52(6), 3382-3392
Efrat, N., Glasner, D., Apartsin, A., Nadler, B., & Levin, A. (2013). Accurate blur models vs. image priors in single image super-resolution. In Proceedings of the IEEE International Conference on Computer Vision (pp. 2832-2839)
Apartsin, A., Cooper, L. N., & Intrator, N. (2013). Time-of-flight estimation in the presence of outliers. Part II—Multiple echo processing. IEEE transactions on geoscience and remote sensing, 52(7), 3843-3850
Apartsin, A., Cooper, L. N., & Intrator, N. (2014). Energy-Efficient Time-of-Flight Estimation in the Presence of Outliers: A Machine Learning Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(4), 1306-1313
Cohen, O., Apartsin, A., Alon, J., & Katz, E. (2018, December). Robust motion compensation for forensic analysis of egocentric video using joint stabilization and tracking. In 2018, the IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) (pp. 1-5). IEEE
Apartsin A., Reiter, G., & Williams, K. AI-based Signal Integrity Monitoring for Integrated Vehicle Health Management. In Proceedings of ELIV 2021 (pp. 143-150), VDI-Berichte Nr. 2384
Apartsin, A., Stein, H., Reiter, G., Williams, K., & Moscovich, N. (2022). Early Detection of Engine Anomalies-A Case Study for AI-Based Integrated Vehicle Health Management (No. 2022-01-0225). SAE Technical Paper
Aperstein, Y., Cohen, Y., & Apartsin, A. (2025). Generative AI-based platform for deliberate teaching practice: A review and a suggested framework. Education Sciences, 15(4), 405.

Patents and Patent Applications

Apartsin, A., Tchemerisov, V., Cooperman, V. User search interface. US20240338980A1
Basri, R., Brestel, C., Galun, M., Apartsin, A., Method and apparatus for matching portions of input images. US8175412B2
Kahlon, H., Apartsin, A., David, L. & Mordel, T., Methods and systems for responding to an audio query where the response is determined to have a public safety impact. US10825450B2
Apartsin, A., Stein, Y., Vardi, Y. System and Method for Physical Model-Based Machine Learning. US20220382939A1
Henrichs, K., Blanc, S.M., Shalev, Y. & Apartsin, A., System and method for model training for a new signal based on metadata representations of known signals, US20230351160A1
Stein, Y., Vardi, Y., Apartsin, A., A system and method for the unification and optimization of machine learning inference pipelines.US20240013095A1
Kovalets, S., Barabanov, S., Shalev, Y., Apartsin, A. System and method for model configuration selection, US11868899B2
Apartsin. A., Henrichs K., Kossaczky I., Kovalets S., Mavliutov Y., Korchahin I., DTC rulebook generation system and method, US20240338980A1
Bakalo, R, Apartsin. A. A system and method for feature selection recommendation, US20220383141A1
Shalev, Y., Henrich, K., Kossaczky, I., Apartsin, A. A system and method for determining a score for a driver of a vehicle, IL308506AIL308506A

Page updated

Google Sites

Report abuse