ד"ר אלכסנדר אפארצין

הפקולטה למדעים
מרצה בכיר

Apartsin Alexander
Faculty of Sciences
Senior Lecturer (aka Assistant Professor)

Education

  • 1991
    -
    1995
    Technion
    BSc in Computer Science
  • 2001
    -
    2004
    Weizmann Institute of Science
    MSc. In Computer Science (Computer Vision)
  • 2005
    -
    2006
    Polytechnic institute of NYU
    MSc. in Management (Information Systems)
  • 2007
    -
    2012
    Tel-Aviv University
    PhD in Computer Science (Machine Learning and Signal Processing)
  • 2012
    -
    2013
    Weizmann Institute of Science
    Postdoctoral Fellow (Computer Vision)

Research Fields

  • Artificial Intelligence and Machine Learning
    • Generative AI for langauge and vision
    • Active Perception
    • Multiagent Systems
    • Anomaly Detection and Big Data

Teaching Areas

  • Generative AI
  • Large Langauge Models
  • Reinforcment Learning
  • Computer Vision

Selected Publications

For all Publications Google Scholar
  • Oren Cohen, Alexander Apartsin, Jonathan Alon, Eyal Katz, (2018), Robust Motion Compensation for Forensic Analysis of Egocentric Video using Joint Stabilization and Tracking, IEEE International Conference on the Science of Electrical Engineering in Israel,
  • Alexander Apartsin, Leon N Cooper, Nathan Intrator, (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,
  • Netalee Efrat, Daniel Glasner, Alexander Apartsin, Boaz Nadler, Anat Levin, (2013), Accurate Blur Models vs. Image Priors in Single Image Super-Resolution, ICCV,
  • Alexander Apartsin, Leon N Cooper, Nathan Intrator, (2013), Time-of-Flight Estimation in the Presence of Outliers. Part II—Multiple Echo Processing, IEEE Transactions on Geoscience and Remote Sensing,
  • Alexander Apartsin, Leon N Cooper, Nathan Intrator, (2013), Time of Flight Estimation in the Presence of Outliers Part I-Singe Echo Processing, IEEE transactions on geoscience and remote sensing,
  • Alexander Apartsin, Leon N Cooper, Nathan Intrator, (2012), Semi-coherent time of arrival estimation using regression, The Journal of the Acoustical Society of America,
  • Alexander Apartsin, Leon N Cooper, Nathan Intrator, (2011), Biosonar-inspired source localization in low SNR, International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS),
  • Alexander Apartsin, Leon N Cooper, Nathan Intrator, (2010), SNR-dependent filtering for Time Of Arrival estimation in high noise, Machine Learning for Signal Processing (MLSP),
  • Meirav Galun, Alexander Apartsin, Ronen Basri, (2005), Multiscale segmentation by combining motion and intensity cues, Computer Vision and Pattern Recognition,
  • A Apartsin, E Ferapontova, Vladimir Gurvich, (1998), A circular graph—counterexample to the Duchet kernel conjecture, Discrete Mathematics,
  • Alexander Apartsin, Hilik Stein, Gil Reiter, Kyle Williams, Noam Moscovich, (2022), Early Detection of Engine Anomalies – A Case Study for AI-based Integrated Vehicle Health Management, WCX SAE,

Experiences

  • Computer Vision for educational video and multimedia
  • Statistical modeling for networking and telecom
  • Machine Learning for finance and banking
  • AI for public safety applications
  • Algorithms for Internet search
  • AI for predictive maintenance and automotive
  • Computer Vision Medical imaging
  • Generative models for content creation
  • Recommender Systems and GraphML for enterprise document management