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Computer Science

D-Index
55
Citations
9692
World Ranking
4388
National Ranking
2047

Overview

Oleg Sokolsky is affiliated with the University of Pennsylvania in the United States and has a research focus spanning computer science and engineering disciplines. Their work contributes substantially to subfields such as artificial intelligence, software, control and systems engineering, signal processing, and computational theory and mathematics.

The main topics addressed by Sokolsky include adversarial robustness in machine learning, anomaly detection techniques and applications, fault detection and control systems, software reliability and analysis research, formal methods in verification, advanced malware detection techniques, and software testing and debugging techniques.

Prominent coauthors who have frequently collaborated with Sokolsky are:

  • Insup Lee
  • Ivan Ruchkin
  • James Weimer
  • Matthew Cleaveland
  • Pengyuan Lu

Oleg Sokolsky has frequently published in venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Embedded Computing Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 American Control Conference (ACC)
  • ACM Computing Surveys

Recent papers authored or coauthored by Sokolsky include:

  • Real-time Attack-recovery for Cyber-physical Systems Using Linear-quadratic Regulator, 2021, ACM Transactions on Embedded Computing Systems
  • iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Improving Neural Network Robustness via Persistency of Excitation, 2022, 2022 American Control Conference (ACC)
  • Detecting OODs as datapoints with High Uncertainty, 2021, arXiv (Cornell University)
  • Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep, and Exploratory Works, 2024, ACM Computing Surveys

Sokolsky has also authored books published by Springer Science+Business Media, including Automated Technology for Verification and Analysis (2020) and NASA Formal Methods (2022).

Best Publications

  • Challenges and Research Directions in Medical Cyber–Physical Systems

    Insup Lee;O. Sokolsky;Sanjian Chen;J. Hatcliff

  • Java-MaC: A Run-Time Assurance Approach for Java Programs

    Moonzoo Kim;Mahesh Viswanathan;Sampath Kannan;Insup Lee

  • Robustness of Attack-Resilient State Estimators

    Miroslav Pajic;James Weimer;Nicola Bezzo;Paulo Tabuada

  • Java-MaC: A Run-time Assurance Tool for Java Programs

    Moonjoo Kim;Sampath Kannan;Insup Lee;Oleg Sokolsky

  • Runtime Assurance Based On Formal Specifications

    Insup Lee;Sampath Kannan;Moonjoo Kim;Oleg Sokolsky

  • Hierarchical modeling and analysis of embedded systems

    R. Alur;Thao Dang;J. Esposito;Yerang Hur

  • Medical cyber physical systems

    Insup Lee;Oleg Sokolsky

  • A Temporal Logic Based Theory of Test Coverage and Generation

    Hyoung Seok Hong;Insup Lee;Oleg Sokolsky;Hasan Ural

  • Formally specified monitoring of temporal properties

    Moonjoo Kim;M. Viswanathan;H. Ben-Abdallah;S. Kannan

  • Toward patient safety in closed-loop medical device systems

    David Arney;Miroslav Pajic;Julian M. Goldman;Insup Lee

  • Data flow testing as model checking

    Hyoung Seok Hong;Sung Deok Cha;Insup Lee;Oleg Sokolsky

  • Design and Implementation of Attack-Resilient Cyberphysical Systems: With a Focus on Attack-Resilient State Estimators

    Miroslav Pajic;James Weimer;Nicola Bezzo;Oleg Sokolsky

  • Hierarchical Hybrid Modeling of Embedded Systems

    Rajeev Alur;Thao Dang;Joel M. Esposito;Rafael B. Fierro

  • Model-Driven Safety Analysis of Closed-Loop Medical Systems

    Miroslav Pajic;Rahul Mangharam;Oleg Sokolsky;David Arney

  • Real-time multi-core virtual machine scheduling in xen

    Sisu Xi;Meng Xu;Chenyang Lu;Linh T. X. Phan

  • Verisim: formal analysis of network simulations

    K. Bhargavan;C.A. Gunter;Moonjoo Kim;Insup Lee

  • Weak Bisimulation for Probabilistic Systems

    Anna Philippou;Insup Lee;Oleg Sokolsky

  • Incremental Model Checking in the Modal Mu-Calculus

    Oleg Sokolsky;Scott A. Smolka

  • Schedulability analysis of AADL models

    Oleg Sokolsky;Insup Lee;Duncan Clarke

  • Specification-based testing with linear temporal logic

    L. Tan;O. Sokolsky;I. Lee

Frequent Co-Authors

Insup Lee
Insup Lee University of Pennsylvania
Sampath Kannan
Sampath Kannan University of Pennsylvania
Miroslav Pajic
Miroslav Pajic Duke University
George J. Pappas
George J. Pappas University of Pennsylvania
Mahesh Viswanathan
Mahesh Viswanathan University of Illinois at Urbana-Champaign
Scott A. Smolka
Scott A. Smolka Stony Brook University
Mats P. E. Heimdahl
Mats P. E. Heimdahl University of Minnesota
Rajeev Alur
Rajeev Alur University of Pennsylvania
Boon Thau Loo
Boon Thau Loo University of Pennsylvania
Chenyang Lu
Chenyang Lu Washington University in St. Louis

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