Research

Preprints

  1. Song, Y. and Fellouris, G., “Change acceleration and detection”. Submitted.
  2. Fellouris, G. and Moustakides, G., “Decentralized sequential change detection with bandwidth constraint”. Submitted.
  3. Banerjee, S. and Fellouris, G., “Agent-based sequential change detection”. In preparation.
  4. Tsopelakos, A. Fellouris, G. and Veeravalli, V., “Sequential anomaly detection”. In preparation.
  5. Song, Y. and Fellouris, G., “Importance Sampling for Sequential Multiple Testing”. In preparation.

Publications

  1. Tsopelakos, A. & Fellouris, G., Sequential anomaly detection with observation control under a generalized error metric. Jun 2020, 2020 IEEE International Symposium on Information Theory, ISIT 2020 – Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1165-1170. (IEEE International Symposium on Information Theory – Proceedings; vol. 2020-June).
  2. Chaudhuri, A. & Fellouris, G. , Sequential Detection and Isolation of a Correlated Pair. Jun 2020, 2020 IEEE International Symposium on Information Theory, ISIT 2020 – Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1141-11468. (IEEE International Symposium on Information Theory – Proceedings; vol. 2020-June).
  3. Zou, S., Fellouris, G. & Veeravalli, V. V., Quickest change detection under transient dynamics: Theory and asymptotic analysis. Mar 2019, In : IEEE Transactions on Information Theory. 65, 3, p. 1397-1412.
  4. Tsopelakos, A., Fellouris, G. & Veeravalli, V. V., Sequential anomaly detection with observation control. Jul 2019, 2019 IEEE International Symposium on Information Theory, ISIT 2019 – Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2389-2393. (IEEE International Symposium on Information Theory – Proceedings; vol. 2019-July).
  5. Song, Y. & Fellouris, G., Sequential multiple testing with generalized error control: An asymptotic optimality theory.  Jan 2019, In : Annals of Statistics. 47, 3, p. 1776-1803.
  6. Wang, S., Fellouris, G. & Chang, H. H., Statistical Foundations for Computerized Adaptive Testing with Response Revision. Jun 15 2019, In : Psychometrika. 84, 2, p. 375-394.
  7. Fellouris, G., Bayraktar, E. & Lai, L., Efficient Byzantine Sequential Change Detection.  May 2018, In : IEEE Transactions on Information Theory. 64, 5, p. 3346-3360.
  8. Song, Y. & Fellouris, G., Asymptotically optimal, sequential, multiple testing procedures with prior information on the number of signals. 2017, In : Electronic Journal of Statistics. 11, 1, p. 338-363 26 p.
  9.  Zou, S., Fellouris, G.& Veeravalli, V. V.,  Asymptotic optimality of D-CuSum for quickest change detection under transient dynamics. Aug 9 2017, 2017 IEEE International Symposium on Information Theory, ISIT 2017. Institute of Electrical and Electronics Engineers Inc., p. 2263-2267. (IEEE International Symposium on Information Theory – Proceedings).
  10. Wang, S., Fellouris, G. & Chang, H. H., Computerized adaptive testing that allows for response revision: Design and asymptotic theory. Oct 2017, In : Statistica Sinica. 27, 4, p. 1987-2010.
  11. Fellouris, G. & Tartakovsky, A. G., Multichannel sequential detection-part I: Non-i.i.d. data. Jul 2017, In : IEEE Transactions on Information Theory. 63, 7, p. 4551-4571.
  12. Fellouris, G., Moustakides, G. V. & Veeravalli, V. V., Multistream quickest change detection: Asymptotic optimality under a sparse signal.  Jun 16 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 – Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6444-6447. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing – Proceedings).
  13. Banerjee, S. & Fellouris, G., Scalable multichannel joint sequential change detection and isolation. Aug 9 2017, 2017 IEEE International Symposium on Information Theory, ISIT 2017. Institute of Electrical and Electronics Engineers Inc., p. 3095-3099. (IEEE International Symposium on Information Theory – Proceedings).
  14. Banerjee, S. & Fellouris, G., Decentralized sequential change detection with ordered CUSUMs. Aug 10 2016, Proceedings – ISIT 2016; 2016 IEEE International Symposium on Information Theory. Institute of Electrical and Electronics Engineers Inc., p. 36-40. (IEEE International Symposium on Information Theory – Proceedings; vol. 2016-August).
  15.  Fellouris, G., Discussion on “Sequential detection/isolation of abrupt changes” by Igor V. Nikiforov. Jul 2 2016, In : Sequential Analysis. 35, 3, p. 311-315.
  16. Song, Y. & Fellouris, G., Logarithmically efficient simulation for misclassification probabilities in sequential multiple testing.  Jul 2 2016, 2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016. Roeder, T. M., Frazier, P. I., Szechtman, R. & Zhou, E. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 314-325. (Proceedings – Winter Simulation Conference; vol. 0).
  17. Fellouris, G. & Sokolov, G., Second-Order Asymptotic Optimality in Multisensor Sequential Change Detection. Jun 2016, In : IEEE Transactions on Information Theory. 62, 6, p. 3662-3675.
  18. Ye, S., Fellouris, G., Culpepper, S. & Douglas, J., Sequential detection of learning in cognitive diagnosis. May 1 2016, In : British Journal of Mathematical and Statistical Psychology. 69, 2, p. 139-158.
  19. Fellouris, G. & Tartakovsky, A. G., Almost optimal sequential tests of discrete composite hypotheses.  Jul 1 2013, In : Statistica Sinica. 23, 4, p. 1717-1741.
  20. Chronopoulou, A. & Fellouris, G., Optimal sequential change detection for fractional diffusion-type processes.   Mar 1 2013, In : Journal of Applied Probability. 50, 1, p. 29-41 13.
  21. Fellouris, G. & Tartakovsky, A., Unstructured sequential testing in sensor networks. Jan 1 2013, 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013. Institute of Electrical and Electronics Engineers Inc., p. 4784-4789.(Proceedings of the IEEE Conference on Decision and Control).
  22. Fellouris, G. & Tartakovsky, A. G., Nearly Minimax One-Sided Mixture-Based Sequential Tests.  Jul 1 2012, In : Sequential Analysis. 31, 3, p. 297-325.
  23. Fellouris, G. & Moustakides, G. V., Decentralized sequential hypothesis testing using asynchronous communication.  Jan 2011, In : IEEE Transactions on Information Theory. 57, 1, p. 534-548.
  24. Fellouris, G. & Moustakides, G. V., Asymptotically optimum tests for decentralized sequential testing in continuous time.  2008, Proceedings of the 11th International Conference on Information Fusion, FUSION 2008.

Grants

  • “Sequential Anomaly Detection with Sampling Constraints and Generalized Error Metrics.” University of Illinois, Urbana-Champaign, January 1, 2020- June 06, 2022,  $27,496, PI: Georgios Fellouris
  • “AMPS: Collaborative Research:  Efficient Algorithms for Ultra-fast Detection of Power System Contingencies in the Transient Regime”, NSF (DMS), August 14, 2018 – August 13, 2021, $80,000, PI: Georgios Fellouris (UIUC), Ilias Bilionis (Purdue), CO-PI: Dionysis Aliprantis (Purdue)
  • “ATD: Collaborative Research: Efficient sampling for real-time detection and isolation of threats in network”,  NSF (DMS), August 20, 2017 – August 19, 2020, $131,000, PI: Georgios Fellouris (UIUC), Jake Shapiro (Princeton), Ali Tajer (RPI)
  • “Modeling and Detection of Learning in Cognitive Diagnosis”, NSF (MMS), July 1, 2016- June 30, 2018, $389,572, PI: Georgios Fellouris, CO-PI: Hua-Hua Chang (UIUC), Steven Culpepper (UIUC), Jeffrey Douglas (UIUC)
  •  “Multiple testing with prior information and flexible error control; feasible procedures with optimality properties.” University of Illinois, Urbana-Champaign, June 1, 2016- June 30, 2017,  $4,425, PI: Georgios Fellouris
  •  “Quickest Change Detection Techniques with Signal Processing Applications.”  NSF (CIF), August 15, 2015- August 14, 2019,  $700,000, PIs: Venu Veeravalli (UIUC), George Moustakides (Rutgers), CO-PI: Georgios Fellouris
  • “Low-rate renewal theory and decentralized parameter estimation”, Simons Foundation, September 1, 2014- August 31, 2017, $35,000, PI: Georgios Fellouris

Associate Professor, Department of Statistics