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Prof'in Dr. Barbara Hammer
Contact
1. Faculty of Technology / Arbeitsgruppen / AG Machine Learning
- bhammer@techfak.uni-bielefeld.de
- Homepage
- Open
- Phone
- +49 521 106-12115
- Fax
- +49 521 106- 12181
- Phone No. of Secretary
- +49 521 106-12121 − Secretary's Details
- Office
- CITEC 2-225 − Locations Map
2. Center for Cognitive Interaction Technology CITEC / Beteiligte Forschungsgruppen / Machine Learning
3. Research Institute for Cognition and Robotics
- Homepage
- Open
4. Faculty of Technology / Beauftragte / ERASMUS-Beauftragte
- bhammer@techfak.uni-bielefeld.de
- Phone
- +49 521 106-12115
- Fax
- +49 521 106- 6560
- Office
- CITEC-2.225 − Locations Map
5. Center for Cognitive Interaction Technology CITEC / Beteiligte Forschungsgruppen / Machine Learning / Principal Investigators
6. Faculty of Technology / Kommissionen und Ausschüsse / Fakultätskonferenz / Professors
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Mitglied
Gruppe der Hochschullehrerinnen und Hochschullehrer
10. Faculty of Technology / Forschungszentren / Bielefeld Institute for Bioinformatics Infrastructure (BIBI)
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vice managing director
11. Faculty of Technology / Forschungszentren / Bielefeld Institute for Bioinformatics Infrastructure (BIBI) / DILS-Faculty
12. Faculty of Technology / Kommissionen und Ausschüsse / Prüfungsausschüsse / Naturwissenschaftliche Informatik (Master)
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Hochschullehrer*innen
13. Faculty of Technology / Kommissionen und Ausschüsse / Prüfungsausschüsse / Biomechatronik (Master)
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Hochschullehrer*innen
14. Faculty of Technology / Kommissionen und Ausschüsse / Prüfungsausschüsse / Data Science (Master)
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Hochschullehrer*innen
15. SFB / Transregio 318 “Constructing Explainability“ / TRR 318 Project Area C: Representing and computing explanations / TRR 318 Subproject C01: Healthy distrust in explanations
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Principle Investigator
16. SFB / Transregio 318 “Constructing Explainability“ / TRR 318 Project Area C: Representing and computing explanations / TRR 318 Subproject C03: Interpretable machine learning: Explaining change
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Principle Investigator
18. Center for Interdisciplinary Research / ZiF Boards / Academic Advisory Board
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Member of the Advisory Board of ZiF - Bielefeld University - Faculty of Technology
Module Designee for
- 39-AN1 Recognition 1
- 39-AN1_1 Recognition 1_1
- 39-AN1_2 Recognition 1_2
- 39-AN1_3 Recognition 1_3
- 39-AN1_4 Recognition 1_4
- 39-AN1_5 Recognition 1_5
- 39-AN2 Recognition 2
- 39-AN2_1 Recognition 2_1
- 39-AN2_2 Recognition 2_2
- 39-AN2_3 Recognition 2_3
- 39-AN2_4 Recognition 2_4
- 39-AN2_5 Recognition 2_5
- 39-Inf-6 Introduction to Theoretical Computer Science
- 39-Inf-7 Algorithms of computer science
- 39-Inf-AKS Applications of Cognitive Systems
- 39-Inf-ML Introduction to Machine Learning
- 39-Inf-MLMA Machine Learning Methods and Applications
- 39-Inf-WP-KI Artificial Intelligence (Basis)
- 39-Inf-WP-KI-x Artificial Intelligence (Focus)
- 39-M-Inf-ADA Advanced Data Analysis
- 39-M-Inf-AI-adv Advanced Artificial Intelligence
- 39-M-Inf-AI-adv-foc Advanced Artificial Intelligence (focus)
- 39-M-Inf-AI-bas Basics of Artificial Intelligence
- 39-M-Inf-DL Deep Learning
- 39-M-Inf-MA_NWI Master's Thesis
- 39-M-Inf-P1_NWI Project 1
- 39-VNW Advanced Natural Sciences
- 39-VP Advanced Student Profile Course
Expert on
Curriculum Vitae
since 2023: Recipient of a LAMARR Fellowship
since 2023: Principal investigator in MSCA Doctoral network LEMUR - Learning with Multiple Representations
since 2022: Chair of large-scale NRW-network project SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems with 39 principal investigators
2022: Best Paper Award ICANN 2022, eight previous best paper awards including ICDM2016
since 2021: Principal investigator in TRR 318 Constructing explainability
since 2021: Principal investigator in ERC Synergy Grant Smart Water Futures: designing the next generation of urban drinking water systems
since 2020: Chair of NRW-wide research training group on trustworthy AI Data-NinJA with 10 principal investigators
since 2017: Professor (W3), Machine Learning, Bielefeld University
2010 - 2017: Professor (W2), Theoretical Computer Science, Bielefeld University
2005: Research stay as guest professor, SAMOS, University Paris I
2004 - 2010: Professor (W2), Theoretical Computer Science, Clausthal University of Technology
2003: Research stays at University of Padova and University of Birmingham
2003: Habilitation in Computer Science, University of Osnabrück
2001: Research stay at University of Pisa
2000 - 2004: Independent junior research group leader, Machine Learning, University of Osnabrück
2000: Research stay at Centre for Artificial Intelligence and Robotics, Bangalore
1999: Research stay at Rutgers University
1999: Doctorate, supervisor: Volker Sperschneider, Mathukumali Vidyasagar (external reviewer), Machine Learning, University of Osnabrück, Germany
1995 - 1999: Research Assistant, Theoretical Computer Science, University of Osnabrück
1989 - 1995: Studies of Mathematics, University of Osnabrück, Germany
Current research topics
Barbara Hammer's expertise lies in the field of intelligent data analysis, explainable machine learning, and trustworthy AI. The methods range from the foundation of algorithms to their efficient application and interdisciplinary aspects, for example in the context of fairness or social implications. Specific current topics are learning for complex spatial-temporal or non-euclidean data including graph networks, explainability of models, or online learning and learning with drift. Applications range from the field of intelligent technical systems to critical infrastructure and the life sciences.
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Teaching
Curriculum Vitae
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