World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
8336
World Ranking
8319
National Ranking
3566

Overview

George Kesidis is affiliated with Pennsylvania State University in the United States and specializes primarily in computer science. Their research contributions span multiple interconnected fields of study, including artificial intelligence, computer networks and communications, electrical and electronic engineering, signal processing, and epidemiology.

Their scholarly output includes a wide range of topics such as adversarial robustness in machine learning, anomaly detection techniques and applications, integrated circuits and semiconductor failure analysis, age of information optimization, advanced malware detection techniques, congenital heart disease studies, and atomic and subatomic physics research.

Among their recent papers are the following publications:

  • Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses Against Attacks (2020), published in Proceedings of the IEEE
  • Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing (2021), published in Computers & Security
  • Anomaly detection of adversarial examples using class-conditional generative adversarial networks (2022), published in Computers & Security
  • Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks (2022), published at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Splice: An Automated Framework for Cost-and Performance-Aware Blending of Cloud Services (2022), published in 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

Their work frequently appears in specific publication venues including arXiv (Cornell University), Queueing Systems, Computers & Security, ICASSP 2022, and Proceedings of the IEEE.

Kesidis has collaborated extensively with a number of researchers, with frequent co-authors including David J. Miller, Zhen Xiang, Xi Li, Takis Konstantopoulos, and Michael A. Zazanis. These collaborations have resulted in numerous publications contributing to the fields of machine learning security and related areas.

In addition to articles, George Kesidis has published a book titled Adversarial Learning and Secure AI in 2023 through Cambridge University Press.

Best Publications

  • Effective bandwidths for multiclass Markov fluids and other ATM sources

    George Kesidis;Jean Walrand;Cheng-Shang Chang

  • Denial-of-service attack-detection techniques

    G. Carl;G. Kesidis;R.R. Brooks;Suresh Rai

  • Incentive-Based Energy Consumption Scheduling Algorithms for the Smart Grid

    Stephane Caron;George Kesidis

  • Robust anomaly detection and regularized domain adaptation of classifiers with application to internet packet-flows

    David J. Miller;George Kesidis;Jayaram Raghuram

  • Resource management in wide-area ATM networks using effective bandwidths

    G. de Veciana;G. Kesidis;J. Walrand

  • Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses Against Attacks

    David J. Miller;Zhen Xiang;George Kesidis

  • Real-time packet traceback and associated packet marking strategies

    Ihab Hamadeh;George Kesidis

  • Equilibria of a noncooperative game for heterogeneous users of an ALOHA network

    Youngmi Jin;G. Kesidis

  • Admission control and routing in ATM networks using inferences from measured buffer occupancy

    C. Courcoubetis;G. Kesidis;A. Ridder;A. Ridder;J. Walrand

  • Feasibility of fluid event-driven simulation for ATM networks

    G. Kesidis;A. Singh;D. Cheung;W.W. Kwok

  • Dynamic cluster structure for object detection and tracking in wireless ad-hoc sensor networks

    Xiang ji;Hongyuan Zha;J.J. Metzner;G. Kesidis

  • Purposeful mobility for relaying and surveillance in mobile ad hoc sensor networks

    R. Rao;G. Kesidis

  • Review of 'Large Deviation Techniques in Decision, Simulation, and Estimation' (Bucklew, J.A.; 1990).

    Jean C. Walrand;George Kesidis

  • Bandwidth allocation for multiple qualities of service using generalized processor sharing

    G. de Veciana;G. Kesidis

  • Cyber defense technology networking and evaluation

    R. Bajcsy;T. Benzel;M. Bishop;B. Braden

  • ATM input-buffered switches with the guaranteed-rate property

    A. Hung;G. Kesidis;N. McKeown

  • VNF Placement Optimization at the Edge and Cloud

    Aris Leivadeas;George Kesidis;Mohamed Ibnkahla;Ioannis Lambadaris

  • Preliminary results using scale-down to explore worm dynamics

    Nicholas Weaver;Ihab Hamadeh;George Kesidis;Vern Paxson

  • Surveillance coverage of sensor networks under a random mobility strategy

    G. Kesidis;T. Konstantopoulos;S. Phoha

  • Detecting malicious packet dropping using statistically regular traffic patterns in multihop wireless networks that are not bandwidth limited

    R. Rao;G. Kesidis

Frequent Co-Authors

Bhuvan Urgaonkar
Bhuvan Urgaonkar Pennsylvania State University
Ioannis Lambadaris
Ioannis Lambadaris Carleton University
Chita R. Das
Chita R. Das Pennsylvania State University
Jean Walrand
Jean Walrand University of California, Berkeley
Anna Scaglione
Anna Scaglione Cornell University
Saswati Sarkar
Saswati Sarkar University of Pennsylvania
Angelos Stavrou
Angelos Stavrou Virginia Tech
Eitan Altman
Eitan Altman French Institute for Research in Computer Science and Automation - INRIA
Karl N. Levitt
Karl N. Levitt University of California, Davis
Jörg Liebeherr
Jörg Liebeherr University of Toronto

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens a wide array of career opportunities across tech and related fields. Many students also explore online programs in complementary disciplines to broaden their expertise and job prospects.

For those interested in public service or law enforcement, the cheapest online criminal justice degree options can provide a cost-effective pathway. If your career goals lean toward business and finance, pursuing a cheap online accounting degree can build strong analytical and financial skills.

As data analysis becomes more essential in tech industries, furthering your education with specialized data science programs can be a smart move. For those looking at project management and infrastructure roles, exploring the fastest online construction management degree may allow rapid entry into high-demand sectors.

Exploring these diverse online degrees not only widens your knowledge but also increases your competitive edge in today’s dynamic job market.

Best Scientists Citing George Kesidis

Trending Scientists

Recently Published Articles