Talks
Designing optimal tests for sequential detection of changes, keynote talk — (9/2025), European Network for Business and Industrial Statistics (ENBIS), Piraeus, Greece.
Data driven estimation of conditional expectation, application to stochastic optimization, Probability Seminar — (4/2024), Institut de Mathématiques de Toulouse, Toulouse, France.
Data driven estimation of likelihood ratios with application to GANs — (2/2023), Centre Borelli, University of Paris-Saclay, Paris, France.
Machine learning for signal processing, tutorial presentation — (11/2022), University of Melbourne, Creswick campus, Australia.
Metrics and optimum tests in sequential detection of changes, keynote talk — (11/2022), mini-symposium on Change-point analysis, University of Melbourne, Creswick campus, Australia.
Machine learning methods for statistical decision making, two-hour lecture — (11/2022), MATRIX research program on Mathematics of risk-2022, University of Melbourne, Creswick campus, Australia.
From statistical estimation and generative modeling to inverse problems, series of three two-hour lectures — (5/2022), Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland.
Data-driven detection methods — (5/2022), Nokia Foundation, Espoo, Finland.
Data-driven Bayesian and non-Bayesian parameter estimation, two-hour lecture — (2/2022), Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland.
Data-driven binary hypothesis testing, two-hour lecture — (2/2022), Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland.
Quickest detection of changes: Formulations and optimality results, seminar — (5/2021), Institut de Mathématiques de Toulouse, Toulouse, France.
Likelihood ratio estimation using neural networks — (11/2019), Industrial and Systems Engineering department, Georgia Institute of Technology (GaTech), Atlanta, USA.
Quickest detection of changes: Classical and modern approaches, plenary talk — (7/2019), IEEE International Symposium on Information Theory (ISIT), Paris, France.
Detecting changes in Markov processes, plenary talk — (6/2017), 6th International Workshop on Sequential Methodologies (IWSM), University of Rouen, Rouen, France.
Metrics and optimum tests in sequential change-detection — (12/2016), Industrial and Systems Engineering department, Georgia Institute of Technology (GaTech), Atlanta, USA.
Sequential detection of changes: Metrics and optimum tests — (10/2016), Statistics department, Wharton School, University of Pennsylvania, Philadelphia, USA.
Sequential detection of a first-entry-to-a-set — (4/2016), France Research Center, Huawei Technologies, Paris, France.
Sequential detection of changes: An overview — (1/2015), Digital Technology Center, Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA.
Sequential detection of changes: Overview and recent results — (1/2014), Electrical Engineering, Princeton University, Princeton, NJ, USA.
Sequential change detection: Brief overview — (12/2013), Command, Control and Interoperability Center for Advanced Data Analysis, Rutgers University, New Brunswick, NJ, USA.
Sequential detection and system identification — (11/2013), Statistics Department, University of Connecticut, Storrs, CT, USA.
Optimal routing of autonomous vehicles in stochastic environments — (12/2012), Computational Biomedicine, Imaging and Modeling Center, Computer Science Department, Rutgers University, NJ, USA.
Sequential detection: Overview and open problems — (12/2011), Advanced Network Colloquium, Institute for Scientific Research (ISR), University of Maryland, College Park, USA.
Optimum joint detection and estimation, application to MIMO radar — (1/2011), Department of Electrical Engineering, University of Southern California (USC), Los Angeles, CA, USA.
Sequential rate change detection in Poisson processes — (1/2011), Department of Statistics and Applied Probability, University of California, Santa Barbara, USA.
Joint detection and estimation, application to MIMO radar — (9/2010), Department of Electrical Engineering, Bilkent University, Ankara, Turkey.
Optimum GLR tests, Probability & Statistics seminar — (1/2009), Department of Mathematics, University of Southern California (USC), Los Angeles, CA, USA.
Finite sample size optimality of GLR tests — (9/2008), Electrical Engineering department, Columbia University, New York, NY, USA.
Finite sample size optimality of GLR tests, Statistics seminar — (8/2008), School of Industrial and Systems Engineering, Georgia Institute of Technology (GA Tech), Atlanta, GA, USA.
Asynchronous random sampling for decentralized detection, Applied Math seminar — (2/2008), Department of Mathematics, University of Southern California (USC), Los Angeles, CA, USA.
Change-time models and performance criteria for the problem of sequential change detection, Probability & Statistics seminar — (2/2008), Department of Mathematics, University of Southern California (USC), Los Angeles, CA, USA.
Decentralized sequential hypothesis testing and change detection — (1/2008), Laboratoire de Modélisation et de Sûreté de Systèmes, Université de Technologie de Troyes, Troyes, France.
Sequential techniques for hypothesis testing and change detection — (10/2007), School of Electrical Engineering, The Royal Institute of Technology (KTH), Stockholm, Sweden.
Sequential detection of changes, mini summer-course of nine lectures — (5-6/2007), Department of Statistics, Columbia University, NYC, NY, USA.
The Poisson disorder problem — (2/2006), Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ, USA.
Performance evaluation of CUSUM tests — (3/2003), Department of Statistics, Columbia University, New York, USA.
Optimum CUSUM tests for detecting changes in continuous time processes — (3/2003), 11-th Annual Applied Probability Day, The Center for Applied Probability, Columbia University, New York, USA.
Optimum sequential procedures for detecting changes in processes — (12/2002), Université du Maine, Faculté des Sciences, Laboratoire de Statistique et Processus, Le Mans, France.
Adaptive algorithms for blind separation of dependent sources — (1/2002), Department of Mathematics, Université Joseph Fourier – Grenoble I, Grenoble, France.
Optimum adaptive algorithms for blind source separation — (4/2001), Institut d’informatique, Université de Neuchâtel, Neuchâtel, Switzerland.
Decision directed algorithms for multiuser detection — (11/2000), Institut de Recherche en Informatique et en Automatique (INRIA – IRISA), Rennes, France.
Adaptive algorithms for blind source separation — (7/2000), Signal Processing Lab., Department of Electrical Engineering, University of Pennsylvania (UPENN), Philadelphia, USA.
Optimum adaptive signal processing algorithms — (6/1999), Laboratoire de Modélisation et de Sûreté de Systèmes, Université de Technologie de Troyes, Troyes, France.
New developments in sequential analysis — (3/1998), Department of Statistics, Hebrew University of Jerusalem, Jerusalem, Israel.
Projects
Quickest Change Detection Techniques with Signal Processing Applications — (2015-2019, PI), Department of Computer Science, Rutgers University, USA. Financed by the National Science Foundation, USA. Rutgers Budget: 467,186$ (Total Budget: 1,121,161$).
Event-Triggered Sampling: Application to Decentralized Detection and Estimation — (2011-2015, co-PI), Department of Electrical Engineering, Columbia University, USA. Financed by the National Science Foundation, USA. Budget: 952,747$.
Adaptive Signal Processing Algorithms for Digital Hearing Aids — (2008-2016, PI), Department of Electrical and Computer Engineering, University of Patras, Greece. Financed by SoundWorld Solutions, USA. Budget: 15,000€/year.
Robust Rapid Change-Point Detection in Multi-Sensor Data Fusion and Behavior Research — (2008-2010, co-PI), Georgia Institute of Technology, School of Industrial and Systems Engineering, Atlanta, GA, USA. Fi-nanced by Air Force Office of Scientific Research, AFOSR. Budget: 200,000$.
BER Estimation in Optical Communication Systems — (2002-2003, PI), Institut National de Recherche en Informatique et en Automatique-INRIA, Rennes, France. Financed by ALCATEL-France. Budget: 50,000FF.
Adaptive Techniques for Wireless Multiple-Access Communications — (1998-1999), Department of Computer Engineering and Informatics, University of Patras, Greece. NATO Scientific Exchange Program: Collaborative Research Grant. Budget: 12,000$.
Development and Study of Adaptive Estimation Algorithms for Telecommunication Applications — (1995-1997, PI), Department of Computer Engineering and Informatics, University of Patras, Greece. Financed by the Greek General Secretariat for Research and Technology. Budget: 100,000 Drachmas.
Automatic Finite Element Model Generation of Objects Using Image Processing Techniques — (1992-1995, PI), Computer Technology Institute, Patras, Greece. Financed by the EU Programme: Human Capital and Mobility. Budget: 100,000 ECU.
Detection of Visually Evoked Cortical Potentials — (1991-1992, PI), Department of Computer Engineering and Informatics, University of Patras, Greece. Bilateral program with University of Ilmenau, Germany. Financed by the Greek and German General Secretariat for Research and Technology. Budget: 20,000 Drachmas.
Development of a PC Based Visual Evoked Potentials Station for Noninvasive Medical Diagnosis — (1991-1992, PI), Department of Computer Engineering and Informatics, University of Patras, Greece. Financed by the Greek General Secretariat for Research and Technology. Budget: 20,000 Drachmas.
Fast Estimation Algorithms for Echo Cancellation in Communication Channels — (1989-1990), Department of Computer Engineering and Informatics, University of Patras, Greece. Financed by the Greek General Secre-tariat for Research and Technology. Budget: 20,000 Drachmas.
Development of a DSP Based Bio-Impedance Monitoring Station — (1989-1990, PI), Computer Technology Institute, Patras, Greece. Bilateral program with University of Ilmenau, Germany. Financed by the Greek and German General Secretariat for Research and Technology. Budget: 20,000 Drachmas.
Signal Processing Techniques for Detecting and Localizing Fatigues in Off-Shore Platforms — (1983-1986), Institut National de Research en Informatique et en Automatique – INRIA, France. Financed by Elf-Aquitaine. Budget: 200,000FF.
Academic Service
International Conference: Stochastic Analysis, Statistics of Random Processes and Optimization — (12/2026), Tbilisi – Bakuriani, Georgia: Organizer of the session “Methods of Change Point Detection”.
International Workshop on Applied Probability — (6/2023), Thessaloniki, Greece: Co-organizer with V. Veeravalli of the invited session “Sequential Methods”.
IEEE Transactions on Information Theory — (2016-2018), Inaugural Associate Editor for Sequential Methods.
International Workshop on Applied Probability — (6/2018), Budapest, Hungary: Co-organizer with V. Veeravalli of the invited session “Sequential Methods”.
Conference on Information Sciences and Systems — (3/2018), Princeton, USA: Co-organizer with V. Veeravalli of the invited session “Sequential Methods for Signal Processing and Control”.
Asilomar Conference on Signals, Systems and Computers — (11/2016), Pacific Grove, CA, USA: Co-organizer with V. Veeravalli of the session “Sequential Signal Processing”.
International Workshop in Sequential Methodologies — (6/2015), Columbia University, NYC, USA: Co-organizer with A. Tartakovsky of the session “Tribute to Alexander Novikov: Sequential Tests and Estimation”. Co-organizer with V. Veeravalli of the session “Sequential/Quickest Change Detection: Theory and Applications”.
IEEE Transactions on Information Theory — (2011-2014), Associate Editor for Detection and Estimation.
International Workshop on Sequential Methods and their Applications — (6/2012), University of Rouen, France: Scientific Committee.
International Workshop in Sequential Methodologies — (6/2011), Stanford University, Stanford, USA: Organizer of the session “Applications of Sequential Detection and Optimal Stopping”.
International Workshop on Applied Probability — (7/2010), Universidad Carlos III of Madrid, Colmenarejo Campus, Madrid, Spain: Co-organizer with I. Nikiforov and A. Tartakovsky of the invited session “Sequential Detection & Estimation I,II,III,IV”.
International Workshop on Sequential Methodologies — (6/2009), Université de Technologie de Troyes, Troyes, France: Steering committee, Program committee (Chair), Local organization committee, Co-organizer with A. Tartakovsky of the invited session “Sequential Testing and Optimal Stopping I,II,III” and with I. Nikiforov of the invited session ” Sequential change-point detection and isolation”.
International Workshop in Sequential Methodologies — (7/2007), Auburn University, Auburn, Alabama, USA: Steering committee.
EURASIP Journal on Applied Signal Processing — (2007), K. Berberidis, B. Champagne, G.V. Moustakides, H.V. Poor, P. Stoica, Guest editors for special issue “Advances in subspace-based techniques for Signal Processing and Communications”.
European Signal Processing Conference — (9/1998), Rhode, Greece: Organizing committee responsible for Tutorials.
Awards / Distinctions
Keynote Speaker — (9/2025), European Network for Business and Industrial Statistics (ENBIS 2025), Piraeus, Greece.
Nokia Foundation Fellowship — (2/2022-6/2022), Support for visit and stay at Aalto University, Espoo, Finland.
Top 0.75% World Scientists — (2026), Stanford list, Subfield: Networks & Telecommunications.
Plenary Speaker — (7/2019), IEEE International Symposium on Information Theory (ISIT 2019), Paris, France.
Plenary Speaker — (6/2018), International Workshop on Sequential Methodologies (IWSM), University of Rouen, Rouen, France.
Murray Distinguished Professorship — (7/2016-1/2017), Computer Science, Rutgers University, NJ, USA.
Long-Term Distinguished Lecturer — (9/2014-12/2014), Coordinated Science Lab, University of Illinois, Urbana-Champaign, IL, USA.
Murray Distinguished Professorship — (7/2013-1/2014), Computer Science, Rutgers University, NJ, USA.