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Paris Syminelakis
PhD Candidate
Department of Electrical Engineering
Stanford University
Email: psimin at stanford dot edu

Brief Bio

I am currently a Ph.D. candidate in the Information Systems Laboratory (ISL) of the Electrical Engineering department at Stanford University where I have worked with Prof. Andrea Montanari and Prof. Greg Valiant. In December 2014, I received an M.Sc. from the Department of Statistics at Stanford University. Before coming to the United States, I obtained my Diploma degree (5 years degree) from the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA) in June 2011. At NTUA I was member of the Computation and Reasoning Laboratory (CoreLab), advised by Prof. Dimitris Fotakis. My research is/was funded by an A.G.Onassis Foundation Scholarship and a Fellowship from the Department of Electrical Engineering at Stanford University.

Research Interests

  • Probability: Random Graphs and Matrices, Graph Limits, Spin Glasses.

  • Statistics: Graphical Models, Symmetry, Bayesian Non-parametrics.

  • Computer Science: Distributed Algorithms for Inference and Optimization, Machine Learning.

Teaching Experience

  • CS224W Social and Information Network Analysis, Prof. Jure Leskovec, Stanford University, Fall 2014.

  • EE263 Introduction to Linear Dynamical Systems, Stanford University, Summer 2014.

  • EE365 Stochastic Control, Prof. Sanjay Lall, Stanford University, Spring 2014.

  • Algorithms and Complexity, Prof. Dimitris Fotakis, National Technical University of Athens, Fall 2010.

Selected Coursework

Stanford University

Theory of Probability (STATS310 A,B), Theory of Statistics (STATS300 A,B), Convex Optimization (EE364A), Modern Markov Chains (STATS 318), Introduction to Compressed Sensing (STATS 330), Inference, Estimation, Information Processing (EE378B), Topics in Probability Theory (STATS 350), Topics in Bayesian Non-parametrics (STATS 362)

National Technical University of Athens

Algorithms and Complexity, Randomized Algorithms, Artificial Intelligence, Computer Vision, Pattern Recognition, Digital Signal Processing, Robotics (I, II), Discrete Mathematics, Stochastic Control, Non-linear Control, Optimal Control.

Academic Service

  • External Reviewer: Symposium on Theory of Computing (STOC), Proceedings of the National Academy of Sciences (PNAS), Networks (Wiley) , Scandinavian Workshop in Algorithm Theory (SWAT).