(Vertretungsprofessor) PD Dr. rer. nat. Stefan Bosse
Fachbereich Mathematik & Informatik
Robert Hooke Str. 5
D-28359 Bremen, Germany
Institut für Softwaretechnik
Email: sbosse (at) uni – bremen . de
Distributed Artificial Intelligence
- Multi-agent Systems: Programming, Technologies, Platforms
- Self-* Systems (Self-organization, Self-adaptation, Self-awareness, ..)
- Distributed Machine Learning
Massive parallel and distributed systems
- Algorithmic driven Complex System-on-Chip Design (High-level Synthesis)
Distributed Sensor Networks
Materials Informatics: Computing WITHIN Materials
Crowd Sensing and Social Sciences
- Software Technologies
- Practical Programming Languages (Design)
- Compiler Design
Priv.-Doz. Dr. rer. nat. Stefan Bosse
Stefan Bosse studied physics at the University of Bremen. He received a Doctoral Degree (Dr. rer. nat.) in physics in the year 2002 (topic “Advanced Optical Laser Measuring Techniques”) at the University of Bremen, and the post-doctoral degree (Habilitation) and the Venia Legendi in Computer Science in the year 2016 at the University of Bremen with his habilitation “Unified Distributed Sensor and Environmental Information Processing with Multi-Agent Systems: Models, Platforms, and Technological Aspects”.
Since 2017 he is teaching and researching as a Privatdozent at the University of Bremen, Department of Computer Science, and since 2018 he is a visiting professor at the University of Koblenz-Landau, Faculty Computer Science, Institute of Software Technologies.
He teaches several courses at the University of Bremen and University Koblenz in fundamental computer science, functional programming, and in selected advanced topics covering the design of complex digital logic data processing systems, massive parallel and distributed systems, multi-agents systems and agent-based simulation, high-level synthesis, and material-integrated sensing systems with a high interdisciplinary background.
His main research area is distributed artificial intelligence in general, and in particular information processing in massive parallel and distributed systems using agent-based approaches combined with machine learning, and agent-based simulation. A broad range of fields of application and domains are addressed: Material Science, Materials Informatics, Smart Materials, IoT, Production Engineering, Social Science, Crowd Sensing, Geo Science.
He conducted projects in the internationally recognized ISIS Scientific Centre for Intelligent Sensorial Materials pushing interdisciplinary research closing the gap between technology and computer science, finally joining the ISIS council and publishing an internationally well regarded handbook on this topic.
He acts as a reviewer and a guest editor for several international journals and is a member of a broad range of international conference programme and organizing committees.
Science and Education
- Visiting Professor (Representation of W3 professorship) at the University of Koblenz-Landau, Faculty Computer Science, Institute of Software Technologies.
- Privatdozent (Lecturer) at the University of Bremen, Department of Mathematics and Computer Science
- Habilitation with the Venia Legendi for Computer Science of the University of Bremen; Title of the Habilitation Thesis Unified Distributed Sensor and Environmental Information Processing with Multi-Agent Systems – Models, Platforms, and Technological Aspects
- Council Membership in the interdisciplinary scientific centre ISIS Sensory Materials (Integrated Solutions in Sensorial Structure Engineering) of the University of Bremen
- Project leader in the interdisciplinary scientific centre ISIS Sensory Materials of the University of Bremen (Various projects)
- Research assistant in the Space-Climber project, funded by the DLR / ESA
- Research assistant in the ARAMIES project, funded by the DLR/ESA
- Research assistant in subproject A6 in the SFB TR-8 (DFG)
- Post-doctoral research assistant and former head of laboratory in the Department of Mathematics and Computer Science, University of Bremen, Working group Robotics of Prof. Frank Kirchner and the associated German Research Center for Artificial Intelligence (DFKI), performing teaching activities (own lectures in basic and advanced computer science) and profiled research in Distributed Artificial Intelligence, University of Bremen
- Self-employment with a scientific laboratory (BSSLAB) for industrial and scientific services
- Research assistant in subproject M1 in the SFB TR-4
- Research associate with teaching experience in the field of production engineering, cargo group measuring, control and regulation technology with Prof. Gert Goch, University of Bremen
- Doctoral degree Dr. rer. nat. in the Department of Physics, University of Bremen; Title of doctoral thesis: An experimental Laser light-scattering method for measuring velocity gradients in non-newtonian fluids with high viscosity
- PhD in the Institute of Experimental Physics with Prof. Wilfried Staude and Prof. Werner Jüptner, teaching, subject area Laser Optical Measurement, University of Bremen
- Physical Diploma in the Department of Physics, University of Bremen; Title of diploma thesis: Measurement of Rotation and Distortion of Rough Solidstate Surfaces using coherent light Scattering
- Diploma thesis at the Institute for Experimental Physics with Prof. Wilfried Staude and Prof. Jörn Bleck-Neuhaus, topic laser-optical measuring methods, University of Bremen
- Student research project at the Bremen Institute for Applied Beam Research under Prof. Sigfried Bosek and Prof. Werner Jüptner
- Internship at the Bremen Institute for Applied Beam Research with Prof. Wolfgang Osten
- Research assistant at the National Radioactivity Measurement Center of Prof. Gerald Kirchner, University of Bremen
- Main studies of physics with diploma, University of Bremen
- Basic study of physics at the University of Bremen, Diploma program
- S. Bosse, D. Lehmhus, W. Lang, M. Busse (Ed.), Material-Integrated Intelligent Systems: Technology and Applications, Wiley, ISBN: 978-3-527-33606-7 (2018)
- S. Bosse, Autonome und robuste Datenanalyse mit Maschinellen Lernen und KI in der Schadensprüfung und Überwachung, DGM Workshop FA Hybride Werkstoffe und Strukturen mit dem AK Mischverbindungen im FA Aluminium, Dortmund, 19-20.2.2018
- S. Bosse, D. Lehmhus, Computing within Materials: Self-Adaptive Materials and Self-organizing Agents, Smart Systems Integration conference, 11-12.4.2018, Dresden, Germany
- S. Bosse, M. Koerdt, A. v. Hehl, Robust and Adaptive Non Destructive Testing of Hybrids with Guided Waves and Learning Agents, 3. Internationale Konferenz Hybrid Materials and Structures 2018, 18-19.4.2018, Bremen, Germany
- S. Bosse, Data mining with Machine Learning for the Social Sciences, Invited Keynote Talk, 18.5.2018, Bremen, Computational Social Sciences Talks, BIGSSS, SOCIUM, University of Bremen, Jacobs University Bremen, 2018