Oleg Sokolsky

Oleg Sokolsky

University of Pennsylvania

H-index: 54

North America-United States

About Oleg Sokolsky

Oleg Sokolsky, With an exceptional h-index of 54 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Software design and software architecture for embedded systems, formal methods, runtime verification.

His recent articles reflect a diverse array of research interests and contributions to the field:

Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep and Exploratory Works

Out-of-Distribution Detection in Dependent Data for Cyber-Physical Systems with Conformal Guarantees

iCareLoop: Data Management System for Monitoring Gerontological Social Isolation and Loneliness

Short: Integrated sensing platform for detecting social isolation and loneliness in the elderly community

Causal repair of learning-enabled cyber-physical systems

Predicting out-of-distribution performance of deep neural networks using model conformance

Conservative Safety Monitors of Stochastic Dynamical Systems

Real-Time Data-Predictive Attack-Recovery for Complex Cyber-Physical Systems

Oleg Sokolsky Information

University

Position

___

Citations(all)

9882

Citations(since 2020)

2454

Cited By

8465

hIndex(all)

54

hIndex(since 2020)

23

i10Index(all)

168

i10Index(since 2020)

68

Email

University Profile Page

Google Scholar

Oleg Sokolsky Skills & Research Interests

Software design and software architecture for embedded systems

formal methods

runtime verification

Top articles of Oleg Sokolsky

Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep and Exploratory Works

2024/4/6

Out-of-Distribution Detection in Dependent Data for Cyber-Physical Systems with Conformal Guarantees

ACM Transactions on Cyber-Physical Systems

2024

Short: Integrated sensing platform for detecting social isolation and loneliness in the elderly community

2023/6/21

Causal repair of learning-enabled cyber-physical systems

2023/6/6

Predicting out-of-distribution performance of deep neural networks using model conformance

2023/6/6

Conservative Safety Monitors of Stochastic Dynamical Systems

2023/5/16

Real-Time Data-Predictive Attack-Recovery for Complex Cyber-Physical Systems

2023/5/9

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems

2023/5/9

Incremental Learning with Memory Regressors for Motion Prediction in Autonomous Racing

2023/5/9

Incremental Anomaly Detection with Guarantee in the Internet of Medical Things

2023/5/9

Fail-Safe: Securing Cyber-Physical Systems against Hidden Sensor Attacks

2022/12/5

Evaluating Alarm Classifiers with High-confidence Data Programming

ACM Transactions on Computing for Healthcare

2022/11/3

Medical Cyber-Physical Systems: IoMT Applications and Challenges

2022/10/31

Pac-wrap: Semi-supervised pac anomaly detection

KDD 2022, arXiv preprint arXiv:2205.10798

2022/5/22

iDECODe: In-distribution equivariance for conformal out-of-distribution detection

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Global Edge Bandwidth Cost Gradient-based Heuristic for Fast Data Delivery to Connected Vehicles under Vehicle Overlaps

2022/6/19

Improving neural network robustness via persistency of excitation

2022/6/8

Confidence Composition for Monitors of Verification Assumptions

2022/5/4

See List of Professors in Oleg Sokolsky University(University of Pennsylvania)

Co-Authors

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