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George Moustakides

Professor of Practice
+1 848-445-8314
Hill 359
Office Hours: 
  • MSDS: Th,F, 11:00-13:00
  • Computer Vision: W, 1:30-2:30

Department of Computer Science
Rutgers The State University of New Jersey
110 Frelinghuysen Road
Piscataway, NJ 08854-8019


I received the diploma in Electrical and Mechanical Engineering from the National Technical University of Athens, Greece, in 1979, the MSE in Systems Engineering from the Moore School of Electrical Engineering, University of Pennsylvania, Philadelphia, in 1980, and the M.Sc and Ph.D in Electrical Engineering and Computer Science from Princeton University, Princeton NJ, in 1983.

During 1983-1986 I held a Junior Researcher position with INRIA, France, then a Researcher position (1988-1991) with the Computer Technology Institute of Patras, Greece. In 1991 I joined the Computer Engineering and Informatics department, University of Patras, Greece as Associate Professor and became Full Professor in 1996. From 2001 to 2004 I was with INRIA, France as Senior Researcher (research group leader) and during 2001-2007 I was also a Professor with the University of Thessaly, Greece. In 2007 I joined the department of Electrical and Computer Engineering, University of Patras, Greece until 2017. Since Fall 2017 I am a Professor of Practice (non-tenured position) with the Computer Science department, Rutgers University.

I also held numerous appointments (financed by the hosting institutes) as Visiting Scholar and/or Adjunct Professor with Princeton University, University of Pennsylvania, Columbia University, University of Maryland, Georgia Institute of Technology, University of Southern California, University of Illinois at Urbana-Champaign and Rutgers University (Business School, CS and ECE).

My interests include Sequential Detection, Statistical Signal Processing, Adaptive Algorithms and Machine Learning.

From 2011 to 2014 I served as Associate Editor for Detection and Estimation and from 2016 to 2020 as inaugural Associate Editor for Sequential Methods for the IEEE Transactions on Information Theory.

Personal News: 
  • (July 2019), Plenary talk, IEEE International Symposium on Information Theory (ISIT-2019), Paris, France: Quickest Detection.
  • (June 2018), Organizer of session: Sequential Methods, International Workshop on Applied Probability (IWAP), Budapest, Hungary.
  • (March 2018), Organizer of session: Sequential Methods for Signal Processing and Control, Annual Conference on Information Sciences and Systems, (CISS), Princeton, NJ, USA.
  • (June 2017), Plenary talk, International Workshop on Sequential Methodologies (IWSM), University of Rouen, Rouen, France: Detecting changes in Markov processes.
  • (Dec. 2016), Invited talk, Industrial and Systems Engineering department, Georgia Tech, Atlanta, USA: Metrics and optimum tests in sequential change detection.
  • (Oct. 2016), Invited talk, Statistics department, Wharton School, University of Pennsylvania, Philadelphia, USA: Sequential detection of changes: Metrics and optimum tests.
  • (April 2016), Invited talk, Huawei Technologies, France Research Center, Paris, France: Sequential detection of a first-entry-to-a-set.
Grant Awards: 
PI: George Moustakides | NSF
08/01/2015 to 07/31/2019
$467,186 (collaborative with UIUC, total budget: $1,121,161)
Displaying 1 - 3 of 4

T. Banerjee, G.V. Moustakides

Sequential Analysis, vol. 36, pp. 355-369
September, 2017

J.G. Ligo, G.V. Moustakides, V.V. Veeravalli

IEEE International Symposium on Information Theory
June, 2017

G.V. Moustakides, T. Yaacoub, Y. Mei

IEEE International Symposium on Information Theory
June, 2017
Student, PostDocs, & Visitors: 

PhD students:

  • Kalliopi Bassioti, 2023 (CS, Rutgers University, advisor): Machine learning and Generative networks, Application to on-line monitoring.
  • Liyan Xie (ISyE, GaTech, participating in supervision, advisor: Yao Xie): Sequential detection of low-rank changes.
  • Tony Yaacoub, 2018 (ISyE, GaTech, participating in supervision, advisor: Yajun Mei): Sequential parameter estimation.

MS students:

  • Kalliopi Bassioti, MSE 2018 from CEID, University of Patras, Greece, co-advisor: Adversarial and non-adversarial generative networks.

PhD Students:

  • Feeby Salib, 2017-2018 from ECE, Rutgers, advisor: Reinforcement Learning.
  • Jonathan Ligo, PhD 2017 from ECE, UIUC, co-advisor: Detection of sparse mixtures: Fundamental limits and algorithms. Researcher, Applied Physics Lab, Johns Hopkins University, Baltimore, MA, USA.
  • Yasin Yilmaz, PhD 2014 from EE, Columbia, co-advisor: Event-triggered sampling for communications. Assistant Professor, Department of Electrical Engineering, University of South Florida, Tampa, FL, USA.
  • Georgios Fellouris, PhD 2010 from Statistics, Columbia, advisor: Decentralized sequential decision making with asynchronous communication. Assistant Professor, Department of Statistics, UIUC, IL, USA.
  • Olympia Hadjiliadis, PhD 2005 from Statistics, Columbia, co-advisor: Change-point detection of two-sided alternatives in the Brownian motion model and its connection to the gambler's ruin problem with relative wealth perception. Professor, Department of Mathematics and Statistics, Hunter College, CUNY, New York, NY, USA.
  • Xenofon Doukopoulos, PhD 2004 from IRISA-INRIA, France, advisor: Power techniques for blind channel estimation in wireless communication systems. Leading Engineer with Parrot S.A., Paris, France.
  • Emmanouil Psarakis, PhD 1991 from Computer Engineering and Informatics Department (CEID), University of Patras, Greece, advisor: Design of multidimensional FIR filters with the help of transformations. Associate Professor, CEID, University of Patras, Greece.


  • Taposh Banerjee, PhD 2014 from ECE, UIUC: (9/1/2015-12/31/2015) Sequential detection of changes. Currently Postdoc at Harvard University.