Alexander (Sasha) Apartsin

Ph.D. @ Tel-Aviv University (Machine Learning/Signal Processing)

Postdoc @ Weizmann (Computer Vision)

Researcher, AVP @ Citi Innovation Lab

CV(pdf)

Research Interests:

      Machine Learning

       Computer Vision

      Information Retrieval/Natural Language Processing

       Everything elseJ

PUBLICATIONS:

1.    A Circular Graph -- Counterexample to the Duchet Kernel Conjecture, Apartsin A., Ferapontova E., Gurvich V. Discrete Mathematics, 178(1998)

2.    Multiscale Segmentation by Combining Motion and Intensity Cues, Galun M., Apartsin A., Basri R. IEEE Computer Vision and Pattern Recognition (CVPR) 2005

3.    A data fusion and multiple ping method for improving the resolution of lowpower acoustic sensing(abstract), Apartsin A, Intrator N, The Journal of the Acoustical Society of America 2008

4.    SNR-dependent filtering for time of arrival estimation in high noise, Apartsin A., Cooper LN., Intrator N., IEEE Workshop on Machine Learning for Signal Processing(MLSP) 2010

5.    Biosonar Inspired Source Localization in Low SNR, Apartsin A., Cooper LN., Intrator N., International Conference on Bio-inspired Systems and Signal Processing(BIOSINGALS) 2011

6.    Semi-coherent Time-of-Arrival Estimation Using Regression, Apartsin A., Cooper LN., Intrator N., The Journal of the Acoustical Society of America(JASA) 2012

7.    Time-of-Flight Estimation in the Presence of Outliers Part I-Single Echo Processing, Apartsin A., Cooper LN., Intrator N., IEEE Transactions on Geoscience and Remote Sensing 2013

8.    Time-of-Flight Estimation in the Presence of Outliers Part II-Multiple Echo Processing, Apartsin A. Cooper LN., Intrator N. IEEE Transactions on Geoscience and Remote Sensing 2013

9.    Accurate Blur Models vs. Image Priors in Super-Resolution, Efrat N., Glasner D., Apartsin A., Nadler B., Levin A. , ICCV 2013

10. Energy-Efficient Time-of-Flight Estimation in the Presence of Outliers: A Machine Learning Approach, Apartsin A., Cooper LN., Intrator N. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014

Teaching:

2014-2015

       Introduction to Data Science (TAU)

2007-2012 

       Machine Learning (MTA)

       Cellular Communications (MTA)

       Software Systems Development (MTA)

       Extended Introduction to Computer Science (TAU)

       Operating Systems (TAU)

2012-2013

       Cellular Communications (MTA)

       3D Computer Vision (MTA)

       Image Processing (TAU)

PAST Projects:

       CloudTuner Search User Interface (2007, archive, Search Engines Journal Review)

       Search-NG Distributed Search (1999, archive)

       An article from AMDOCS portal about the statistical performance analysis I did there