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Holger Hermanns

Holger Hermanns

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Computer Science
Germany
2023

D-Index & Metrics

Computer Science

D-Index
61
Citations
14987
World Ranking
3072
National Ranking
147

Research.com Recognitions

  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2013 - Member of Academia Europaea

Overview

Holger Hermanns is affiliated with Saarland University in Germany and has a substantial body of work spanning the fields of computer science and engineering. Their research focuses predominantly on formal methods in verification, software testing and debugging techniques, as well as adversarial robustness in machine learning. Other notable topics include satellite communication systems, software reliability and analysis research, ethics and social impacts of artificial intelligence, and advanced software engineering methodologies.

The scientist's recent publications include:

  • What do we want from Explainable Artificial Intelligence (XAI)? - A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research, 2021, Artificial Intelligence
  • Model Checking Algorithms for Markov Automata, 2024, Technische Universität Berlin - Universitätsbibliothek
  • Managing Fleets of LEO Satellites: Nonlinear, Optimal, Efficient, Scalable, Usable, and Robust, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Conformance Relations and Hyperproperties for Doping Detection in Time and Space, 2022, Logical Methods in Computer Science
  • A Modest Approach to Markov Automata, 2021, ACM Transactions on Modeling and Computer Simulation

Frequent co-authors in their research include:

  • Michaela Klauck
  • Maximilian A. Köhl
  • Jörg Hoffmann
  • Sebastian Biewer
  • Marcel Steinmetz

Hermanns has contributed publications to various venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • International Journal on Software Tools for Technology Transfer
  • Journal of Artificial Intelligence Research
  • Artificial Intelligence

Their publications also include books published by Springer Science+Business Media, such as "Dependable Software Engineering. Theories, Tools, and Applications" (2023) and "Measurement, Modelling and Evaluation of Computing Systems" (2020).

Main fields of study where Hermanns has made contributions are:

  • Computer Science
  • Engineering

Subfields of particular interest include:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software
  • Aerospace Engineering
  • Computer Networks and Communications

Recognized for their academic contributions, Holger Hermanns has been a member of Academia Europaea since 2013.

Best Publications

  • Model-checking algorithms for continuous-time Markov chains

    C. Baier;B. Haverkort;H. Hermanns;J.-P. Katoen

  • The ins and outs of the probabilistic model checker MRMC

    Joost-Pieter Katoen;Ivan S. Zapreev;Ernst Moritz Hahn;Holger Hermanns

  • What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research

    Markus Langer;Daniel Oster;Timo Speith;Holger Hermanns

  • Interactive Markov chains: and the quest for quantified quality

    Holger Hermanns

  • Validation of Stochastic Systems : A Guide to Current Research

    Christel Baier;Boudewijn R. Haverkort;Joost-Pieter Katoen;Holger Hermanns

  • Interactive Markov Chains

    Holger Hermanns

  • Approximative Symbolic Model Checking of Continuous-Time Markov Chains

    Christel Baier;Joost-Pieter Katoen;Joost-Pieter Katoen;Holger Hermanns

  • Process algebra for performance evaluation

    Holger Hermanns;Ulrich Herzog;Joost-Pieter Katoen

  • Approximate symbolic model checking of continuous-time Markov chains

    C. Baier;J.-P. Katoen;H. Hermanns

  • Optimal state-space lumping in Markov chains

    Salem Derisavi;Holger Hermanns;William H. Sanders

  • Model Checking Continuous-Time Markov Chains by Transient Analysis

    Christel Baier;Boudewijn R. Haverkort;Holger Hermanns;Joost-Pieter Katoen

  • Probabilistic CEGAR

    Holger Hermanns;Björn Wachter;Lijun Zhang

  • Comparative branching-time semantics for Markov chains

    Christel Baier;Joost-Pieter Katoen;Holger Hermanns;Verena Wolf

  • Probabilistic reachability for parametric Markov models

    Ernst Moritz Hahn;Holger Hermanns;Lijun Zhang

  • MODEST: A Compositional Modeling Formalism for Hard and Softly Timed Systems

    H. Bohnenkamp;P.R. D'Argenio;H. Hermanns;J.-P. Katoen

  • On Probabilistic Automata in Continuous Time

    Christian Eisentraut;Holger Hermanns;Lijun Zhang

  • Weak Bisimulation for Fully Probabilistic Processes

    Christel Baier;Holger Hermanns

  • Discrete-Time Rewards Model-Checked

    Suzana Andova;Holger Hermanns;Holger Hermanns;Joost-Pieter Katoen

  • Concur 2006 - Concurrency Theory

    Christel Baier;Holger Hermanns

  • The Modest Toolset: An Integrated Environment for Quantitative Modelling and Verification

    Arnd Hartmanns;Holger Hermanns

  • A Probabilistic Extension of UML Statecharts

    David N. Jansen;Holger Hermanns;Joost-Pieter Katoen

Frequent Co-Authors

Joost-Pieter Katoen
Joost-Pieter Katoen RWTH Aachen University
Christel Baier
Christel Baier TU Dresden
Boudewijn R. Haverkort
Boudewijn R. Haverkort Tilburg University
Bernd Becker
Bernd Becker University of Freiburg
Kim Guldstrand Larsen
Kim Guldstrand Larsen Aalborg University
Jörg Hoffmann
Jörg Hoffmann Saarland University
Flemming Nielson
Flemming Nielson Technical University of Denmark
Roberto Segala
Roberto Segala University of Verona
Jane Hillston
Jane Hillston University of Edinburgh
Alexandre David
Alexandre David Aalborg University

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