Soheil Feizi

Post-Doctoral Researcher, Stanford University
PhD, EECS Department, MIT
Email: sfeizi at stanford dot edu

 

I am currently a post-doctoral scholar in the Electrical Engineering Department at Stanford University, working with Prof. David Tse. I received my Ph.D. degree in Electrical Engineering and Computer Science with a minor degree in Mathematics from MIT, under the supervision of Prof. Muriel Médard and Prof. Manolis Kellis. At MIT, I was a member of Computer Science and Artificial Intelligence Laboratory (CSAIL) , Research Laboratory of Electronics (RLE) and Broad Institute of MIT and Harvard. I received my M.Sc. degree at MIT, with a master of science thesis award in the EECS department. I received my B.Sc. at Sharif University of Technology.

My research focuses broadly on developing and analyzing methods for data sciences and machine learning with a focus on graph-oriented algorithms and nonlinear learning methods.

Publications

 

Dissertations

  • On the Analysis of Complex Networks: Fundamental Limits, Scalable Algorithms, and Applications
    • Soheil Feizi
    • Ph.D. Thesis, MIT, 2016
  • On Network Functional Compression
    • Soheil Feizi
    • Master of Science Thesis, MIT, 2010
  • Preprints

  • Maximally Correlated Principal Component Analysis
    • Soheil Feizi, David Tse

    Under Review Journals

  • Spectral Alignment of Networks
    • Soheil Feizi, Gerald Quon, Mariana Mendoza, Muriel Medard, Manolis Kellis, Ali Jadbabaie
    • In review. Presented in Cold Spring Harbor Laboratory Conference, Systems Biology: Networks. Available on arXiv: 1602.04181
  • Network Maximal Correlation
    • Soheil Feizi*, Ali Makhdoumi*, Ken Duffy, Manolis Kellis, Muriel Medard
    • Accepted for an Oral Presentation in RECOMB Conference on Systems Biology and Regulatory Genomic 2015. Available on arXiv:1606.04789
    • * authors contributed equally to the work
  • Clustering over Random Dot Product Graphs
    • Luke O'Connor*, Muriel Medard and Soheil Feizi*
    • In review. Available on arXiv:1510.00850
    • * authors contributed equally to the work
  • Network Infusion to Infer Information Sources in Networks
    • Soheil Feizi, Ken Duffy, Manolis Kellis, Muriel Medard
    • In review. Presented in RECOMB Conference on Systems Biology and Regulatory Genomic 2014, and in International Conference on Computational Social Sciences 2015. Available on arXiv:1606.07383
  • Journal Publications

  • Integrative Analysis of 111 Reference Human Epigenomes
    • Roadmap Epigenomics Consortium, et al.
    • Nature, 518, 317-330, 2015
  • Microfluidic neurite guidance to study structure-function relationships in topologically-complex population-based neural networks
    • Thibault Honegger, Moritz I Thielen, Soheil Feizi, Neville E Sanjana and Joel Voldman
    • Scientific Reports, 2016
  • On Network Functional Compression
    • Soheil Feizi and Muriel Medard
    • IEEE Transactions on Information Theory, Vol. 60, No. 9, 2014
  • Backward Adaptation for Power Efficient Sampling
    • Soheil Feizi, Georgios Angelopoulos, Vivek K Goyal and Muriel Medard
    • IEEE Transactions on Signal Processing, vol. 62, no. 16, 2014
  • Network Deconvolution as a General Method to Distinguish Direct Dependencies in Networks
    • Soheil Feizi, Daniel Marbach , Muriel Medard, Manolis Kellis
    • Nature Biotechnology, 31, 726-733, 2013
  • Systematic Dissection and Optimization of Inducible Enhancers in Human Cells Using a Massively Parallel Reporter Assay
    • A. Melnikov, A. Murugan, X. Zhang, T. Tesileanu, L. Wang, P. Rogov, Soheil Feizi, A. Gnirke, C. G Callan Jr, J. B Kinney, M. Kellis, E. S Lander and T. S Mikkelsen
    • Nature Biotechnology, 30, 271-277, 2012
  • Time-Stampless Adaptive Nonuniform Sampling for Stochastic Signals
    • Soheil Feizi, Vivek K Goyal and Muriel Medard
    • IEEE Transactions on Signal Processing, vol. 60, no. 10, 2012
  • Impulsive Noise Cancellation Based on Soft Decision and Recursion
    • Sina Zahedpour, Soheil Feizi, Arash Amini and Farrokh Marvasti
    • IEEE Transactions on Instrumentation and Measurement, vol. 58, no. 8, 2780 - 2790, 2009
  • Robust Audio Data Hiding Using Correlated Quantization With Histogram-Based Detector
    • Ali Akhaee, Mohammad Saberian, Soheil Feizi and Farrokh Marvasti
    • IEEE Transactions on Multimedia, vol 51, no. 6, 2009
  • Main Conference Publications

  • Biclustering Using Message Passing
    • Luke O'Connor* and Soheil Feizi*
    • Advances in Neural Information Processing Systems Foundation (NIPS), pp. 3617-3625, 2014
    • * authors contributed equally to the work
  • A Network Flow Approach in Cloud Computing
    • Soheil Feizi, Amy Zhang and Muriel Medard
    • Conference on Information Sciences and Systems (CISS), John Hopkins University, 2012
  • A Power Efficient Sensing/Communication Scheme: Joint Source-Channel-Network Coding by Using Compressive Sensing
    • Soheil Feizi and Muriel Medard
    • Allerton Conference on Communication, Control, and Computing, 2011
  • Compressive Sensing Over Networks
    • Soheil Feizi, Muriel Medard and Michelle Effros
    • Allerton Conference on Communication, Control, and Computing, 2010
  • Other Conference Publications

  • Tunable Sparse Network Coding for Multicast Networks
    • Soheil Feizi, Daniel Lucani, Chres W. Sorensen, Ali Makhdoumi and Muriel Medard
    • International Symposium on Network Coding (NetCod), 2014
  • Time-Stampless Adaptive Nonuniform Sampling for Stochastic Signals
    • Soheil Feizi, Vivek K Goyal and Muriel Medard
    • International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Japan, 2012
  • Empirical Rate-Distortion Study of Compressive Sensing-based Joint Source-Channel Coding
    • Muriel Rambeloarison, Soheil Feizi, Georgios Angelopoulos and Muriel Medard
    • Asilomar Conference on Signals, Systems, and Computers, 2012
  • Tunable Sparse Network Coding
    • Soheil Feizi, Daniel Lucani and Muriel Medard
    • International Zurich Seminar on Communications, 2012
  • Energy-Efficient Time-Stampless Adaptive Nonuniform Sampling
    • Soheil Feizi, Georgios Angelopoulos, Vivek K Goyal and Muriel Medard
    • IEEE sensors, Limerick, Ireland, 2011
  • Locally Adaptive Sampling
    • Soheil Feizi, Vivek K Goyal and Muriel Medard
    • Allerton Conference on Communication, Control, and Computing, 2010
  • Cases Where Finding the Minimum Entropy Coloring of a Characteristic Graph is a Polynomial Time Problem
    • Soheil Feizi and Muriel Medard
    • IEEE International Symposium on Information Theory (ISIT), Texas, 2010
  • When Do Only Sources Need to Compute? On Functional Compression in Tree Networks
    • Soheil Feizi and Muriel Medard
    • Allerton Conference on Communication, Control, and Computing, 2009
  • Multi-Functional Compression with Side Information
    • Soheil Feizi and Muriel Medard
    • IEEE Communication Theory Symposium (Globecom), 2009
  • Salt and Pepper Noise Removal for Images
    • Soheil Feizi, Sina Zahed Pour, Arash Amini and Farrkh Marvasti
    • International Conference on Telecommunications, Russia, 2008
  • Impulsive Noise Cancelation Using CFAR and Iterative Techniques
    • Sina Zahed pour, Soheil Feizi, Arash Amini and Farrokh Marvasti
    • International Conference on Telecommunications, Russia, 2008
  • Lower and Upper Bounds for Throughput Capacity of a Cognitive Ad Hoc Network Overlaid on a Cellular Network
    • Soheil Feizi and Farid Ashtiani
    • IEEE Wireless Communications and Networking Conference (WCNC), 2008
  • Two Techniques in Audio Watermarking Based on a Novel Transformation
    • Soheil Feizi, Ali Akhaee and Farrokh Marvasti
    • IEEE International Conference on Signal Processing and Communications (ICSPC), 2007
  • Modeling the Behavior of Contending Opportunistic Cognitive Radios
    • Soheil Feizi, Farid Ashtiani and Seyd Hamed Hasani
    • IEEE International Conference on Signal Processing and Communications (ICSPC), 2007
  • 2016 www.stanford.edu/~sfeizi.