Research
Applied Artificial Intelligence
I am interested in applying AI techniques to real-world business problems.
Selected research projects
- Kompetenzzentrum für Arbeit und KI (Competence Center for Labour and AI): Applying AI for the manufacturing industry. Partners: Technische Universität Darmstadt, Hochschule Darmstadt, 9 companies, 2 trade unions, 2 industry organizations, 2 state ministries; federally funded (BMBF)
- DBT Benchmarking: Using machine learning in psychotherapy treatment in cooperation with Zentralinstitut für Seelische Gesundheit (ZI), DBT-Dachverband e.V., Deuschel & Schüller GbR; state funded.
- ProDok 4.0: Semantic project documentation for manufacturing processes in cooperation with KUKA Robotics, ISRA Vision, DictaJet; federally funded (BMBF)
- SemAntically integrating Genomics with Electronic health records for Cancer CARE (SAGE-CARE) in cooperation with NSilico Lifescience Ltd (Ireland), University of Edinburgh, Parallel Computing Centre (United Kingdom), UBITECH Ltd (Greece). EU-funded (Horizon 2020)
- Multimedia Library Platform / Multimedia Museum Platform in co-operation with Städel Museum, University & State Library, and others (state funded). Winner of the 2015 World Summit Award, Culture & Tourism; Winner of the 2014 State of Hesse Research Award (Universities of Applied Sciences)
I am also interested in the implications of AI on society.
Selected publications
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Lukas Kaupp, Kawa Nazemi, Bernhard G. Humm: "An Industry 4.0-Ready Visual Analytics Model for Context-Aware Diagnosis in Smart Manufacturing," 2020 24th International Conference Information Visualisation (IV), 2020, pp. 350-359, doi: 10.1109/IV51561.2020.00064, IEEE, https://ieeexplore.ieee.org/document/9373164.
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Bernhard G Humm: Applied Artificial Intelligence - An Engineering Approach. Second Edition. Independently published, 2020. Print ISBN: 979-8635591154 .
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Bernhard G. Humm, Marco Hutter: Learning Patterns for Complex Event Detection in Robot Sensor Data. In Bernabé Dorronsoro, Patricia Ruiz, Juan Carlos de la Torre, Daniel Urda, El-Ghazali Talbi (Eds.): Optimization and Learning - Proceedings of the Third International Conference on Optimization and Learning (OLA 2020), Cádiz, Spain, February 17–19, 2020. Springer Nature Switzerland AG. ISBN: 978-3-030-41913-4.
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Bernhard G. Humm, Guglielmo van der Meer: Detecting Domain-Specific Events Based on Robot Sensor Data. In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019) - Volume 1, pages 398-405. Prague, Czech Republic, July 2019. ISBN: 978-989-758-380-3
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Lukas Kaupp, Ulrich Beez, Jens Huelsmann, Bernhard G. Humm: Outlier Detection in Temporal Spatial Log Data using Autoencoder for Industry 4.0. Proceedings of the 20th International Conference on Engineering Applications of Neural Networks (EANN 2019), Crete, Greece 24-26 May 2019.
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Martin Bohus, Stephan Gimbel, Nora Goerg, Bernhard G. Humm, Martin Schüller, Marc Steffens, Ruben Vonderlin: Improving Machine Learning Prediction Performance for Premature Termination of Psychotherapy. In: Agre G., van Genabith J., Declerck T. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2018. Lecture Notes in Computer Science, vol 11089. Springer, Cham. DOI: doi.org/10.1007/978-3-319-99344-7_13, Print ISBN: 978-3-319-99343-0, Online ISBN: 978-3-319-99344-7.
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Martin Bohus, Tilman Deuschel, Stephan Gimbel, Nora Görg, Bernhard G. Humm, Martin Schüller, Erdem Turan: Predicting Premature Termination of Treatment in Psychotherapy for Borderline Personality Disorder. In: Udo Bleimann, Bernhard Humm, Robert Loew, Stefanie Regier, Ingo Stengel, Paul Walsh (Eds): Proceedings of the Collaborative European Research Conference (CERC 2017), pp 168-177, Karlsruhe, Germany, 22-23 September 2017. ISSN: 2220-4164. Most innovative paper award, CERC 2017.
Software Architecture
I am interested in software architecture from the small to the very large (Service-Oriented Architectures), based on my 11-year experience in the software industry. I also think that we can do much better in programming and I am interested in improving programming languages and development environments.
Selected publications
- T. Neef, S. Morana, B. G. Humm: A Criteria-Driven Method for Architecting Domain-Specific IE Applications. In P. Bours, B. Humm, R. Loew, I. Stengel, P. Walsh (Eds): Proceedings of the 3rd Collaborative European Research Conference (CERC 2012), pp. 21-28, Darmstadt, Germany, 2012.
- Gregor Engels, Andreas Hess, Bernhard Humm, Oliver Juwig, Marc Lohmann, Jan-Peter Richter, Markus Voß, Johannes Willkomm: A Method for Engineering a true Service-Oriented Architecture. In José Cordeiro, Joaquim Filipe (Eds.): Proceedings of the 10th International Conference on Enterprise Information Systems (ICEIS 2008), Volume 2 Information Systems Analysis and Specification, pp. 272 - 281. Barcelona, Spain, 2008.
- Gregor Engels, Andreas Hess, Bernhard Humm, Oliver Juwig, Marc Lohmann, Jan-Peter Richter, Markus Voß, Johannes Willkomm: Quasar Enterprise – Anwendungslandschaften serviceorientiert gestalten ("Quasar Enterprise - engineering application landscapes the service-oriented way" - in German). dpunkt-Verlag 2008.
- Andreas Gomolka, Bernhard Humm: Structure Editors: Old Hat or Future Vision?. In Communications in Computer and Information Science series, Volume 0275, pp 82 - 97, Springer Verlag, 2012
- Bernhard G. Humm, Ralf S. Engelschall: Pluggable Programming Language Features for Incremental Code Quality Enhancement. In L.A. Maciaszek and P. Loucopoulos (Eds.): Evaluation of Novel Approaches to Software Engineering (ENASE 2010), Communications in Computer and Information Science (CCIS) Vol. 230, pp. 1–15. Springer Verlag Berlin Heidelberg, 2011.
Kontakt
Kommunikation
Schöfferstraße 10
64295 Darmstadt
Büro: D19, 2.10
+49.6151.533-68494
bernhard.humm@h-da.de
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Sprechstunde
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