Rolf Stadler

Rolf Stadler

Kungliga Tekniska högskolan

H-index: 30

Europe-Sweden

About Rolf Stadler

Rolf Stadler, With an exceptional h-index of 30 and a recent h-index of 15 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of network management, cyber security, machine learning, distributed systems, cloud computing.

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

Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games

IT Intrusion Detection Using Statistical Learning and Testbed Measurements

Automated Security Response through Online Learning with Adaptive Conjectures

Intrusion Tolerance for Networked Systems through Two-Level Feedback Control

A Framework for dynamically meeting performance objectives on a service mesh

Demonstrating a System for Dynamically Meeting Management Objectives on a Service Mesh

Digital twins for security automation

Scalable Learning of Intrusion Response Through Recursive Decomposition

Rolf Stadler Information

University

Position

Professor School of Electrical Engineering

Citations(all)

3747

Citations(since 2020)

922

Cited By

3271

hIndex(all)

30

hIndex(since 2020)

15

i10Index(all)

82

i10Index(since 2020)

20

Email

University Profile Page

Kungliga Tekniska högskolan

Google Scholar

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Rolf Stadler Skills & Research Interests

network management

cyber security

machine learning

distributed systems

cloud computing

Top articles of Rolf Stadler

Title

Journal

Author(s)

Publication Date

Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games

arXiv preprint arXiv:2402.18781

Tao Li

Kim Hammar

Rolf Stadler

Quanyan Zhu

2024/2/29

IT Intrusion Detection Using Statistical Learning and Testbed Measurements

arXiv preprint arXiv:2402.13081

Xiaoxuan Wang

Rolf Stadler

2024/2/20

Automated Security Response through Online Learning with Adaptive Conjectures

arXiv preprint arXiv:2402.12499

Kim Hammar

Tao Li

Rolf Stadler

Quanyan Zhu

2024/2/19

Intrusion Tolerance for Networked Systems through Two-Level Feedback Control

arXiv preprint arXiv:2404.01741

Kim Hammar

Rolf Stadler

2024/4/2

A Framework for dynamically meeting performance objectives on a service mesh

arXiv preprint arXiv:2306.14178

Forough Shahab Samani

Rolf Stadler

2023/6/25

Demonstrating a System for Dynamically Meeting Management Objectives on a Service Mesh

Forough Shahab Samani

Kim Hammar

Rolf Stadler

2023/5/8

Digital twins for security automation

Kim Hammar

Rolf Stadler

2023/5/8

Scalable Learning of Intrusion Response Through Recursive Decomposition

Kim Hammar

Rolf Stadler

2023/10/18

Learning near-optimal intrusion responses against dynamic attackers

IEEE Transactions on Network and Service Management 2023

Kim Hammar

Rolf Stadler

2023/1/11

Online Feature Selection for Efficient Learning in Networked Systems

IEEE Transactions on Network and Service Management

Xiaoxuan Wang

Rolf Stadler

2022/6/8

Learning security strategies through game play and optimal stopping

International Conference on Machine Learning (ICML) Ml4Cyber Workshop 2022: International Conference on Machine Learning, Baltimore, USA July 17-23.

Kim Hammar

Rolf Stadler

2022/5/29

Intrusion prevention through optimal stopping

IEEE Transactions on Network and Service Management 2022

Kim Hammar

Rolf Stadler

2021/10/30

A system for interactive examination of learned security policies

NOMS 2022 IEEE

Kim Hammar

Rolf Stadler

2022/4/3

An online framework for adapting security policies in dynamic it environments

Kim Hammar

Rolf Stadler

2022/10/31

Method and system for fault localization in a cloud environment

2022/3/22

Dynamically meeting performance objectives for multiple services on a service mesh

Forough Shahab Samani

Rolf Stadler

2022/10/31

Online feature selection for low-overhead learning in networked systems

Xiaoxuan Wang

Forough Shahab Samani

Andreas Johnsson

Rolf Stadler

2021/10/25

Learning intrusion prevention policies through optimal stopping

Kim Hammar

Rolf Stadler

2021/10/25

Methods and systems for dynamic service performance prediction using transfer learning

2021/7/8

Online learning under resource constraints

Rodolfo S Villaça

Rolf Stadler

2021/5/17

See List of Professors in Rolf Stadler University(Kungliga Tekniska högskolan)

Co-Authors

H-index: 55
Aurel A. Lazar

Aurel A. Lazar

Columbia University in the City of New York

H-index: 41
Aiko Pras

Aiko Pras

Universiteit Twente

H-index: 37
Mun Choon Chan

Mun Choon Chan

National University of Singapore

H-index: 36
Gregorio Martinez Perez

Gregorio Martinez Perez

Universidad de Murcia

H-index: 33
Jürgen Schönwälder

Jürgen Schönwälder

Jacobs University Bremen

H-index: 33
Mads Dam

Mads Dam

Kungliga Tekniska högskolan

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