Curriculum Vitae

Prof. Dr. rer. nat. habil. Stefan Bosse

Stefan Bosse

ORCID & References

My ORCID is 0000-0002-8774-6141
Link to my public record is http://orcid.org/0000-0002-8774-6141
Link to my ResearchGate profile is https://www.researchgate.net/profile/Stefan_Bosse
Link to my DBLP Computer Science Bibliography profile is https://dblp.uni-trier.de/pers/hd/b/Bosse:Stefan
Link to my Semantic Scholar page is https://www.semanticscholar.org/author/Stefan-Bosse/2941084
Official Who is Who Biographical Encyclopedia entry PRABOOK
TU Braunschweig Catalogue: TU Braunschweig Katalog
CV with key list of publications and lectures PDF
VCARD PDF

ORCID Database View

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Name

Stefan Bosse

Biography

From October 2024 Stefan Bosse is a full professor of practical computer science in the department of computer science at the University of Koblenz (Germany). He gives lectures in fundamental computer science (algorithms and data structures, operating systems) as well as courses in agent-based computing, parallel and distributed computing, and electronics. He is a polymath and addresses a broad range of range of interdisciplinary research topics, including generative AI, analog computing, virtualization, and structural health monitoring. From 2016 - 2024 Stefan Bosse was a Privatdozent (Lecturer and senior researcher, Assoc. Prof.) at the University of Bremen in the Department of Mathematics and Computer Science. From 2018 to 2019 he was an interim professor and lecturer at the University of Koblenz-Landau, Faculty Computer Science, Institute of Software Technologies, Landau, and since 2022 joined the Engeeniring Department of the University of Siegen as a lecturer and sensior researcher in the Lehrstuhl für Materialkunde und Werkstoffprüfung.

He studied physics at the University of Bremen. He received a Doctoral Degree (Dr. rer. nat.) in physics in the year 2002 ("Laser and Advanced Optical 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 thesis "Unified Distributed Sensor and Environmental Information Processing with Multi-Agent Systems: Models, Platforms, and Technological Aspects".

He teaches several courses at the University of Bremen and University of Koblenz-Landau in fundamental computer science and in selected advanced topics covering the design of embedded systems, distributed and massive parallel system design, agent-based methods, and material-integrated sensing systems with a high interdisciplinary background.

Since 2008 he conducted several projects in the ISIS Sensorial Materials Scientific Centre pushing interdisciplinary research filling the gap between technology and computer science, and recently joining the ISIS council. Since 2019 he is a principle investigator of the transregional DFG research unit FORHYB 3022 and conducts the subproject "Data-driven Damage Diagnostics".

His research profile his highly interdisciplinary and unites computer science, mathematics, material science, and social science. Most of his work fills the gap between formalism and technology.

Research Profile:

- Distributed Artificial Intelligence
- Machine Learning
- Virtualisation (hardware, networks, systems)
- Computer Engineering, Material-integrated Intelligent Systems, HW/SW Co-design, System-on-Chip Design and HLS Software
- Hardware and Embedded System Design, Tiny ML, Virtualization on Chip, mixed analog/digital
- Sensor Networks
- Multi-Agent Systems and Platforms
- Simulation Research (Agent-based and multi-domain, hardware-software co simulation)
- Structural Monitoring and Damage diagnostics
- Crowd Sensing and Data Mining

He published more than 100 conference and journal papers, wrote three books, and contributed to more than 15 book chapters, acts as a reviewer and a guest editor for several international journals, e.g., IEEE Sensors, MDPI Sensors, MDPI Computers, and is a member of international conference programme and organizing committees, e.g., IARIA INTERNET & ADAPTIVE, SYSINT, MDPI ECSA, SASO DSS.

Activities

University of Siegen: Siegen, Nordrhein-Westfalen, DE

2022-01-01 to present | Lecturer, Assoc. Senior Researcher (Maschinenbau)

Employment

Curriculum Vitae

Prof. Dr. rer. nat. habil. Stefan Bosse

ORCID & References

ORCID Database View

Stefan Bosse

Biography

Activities

Employment (3)

University of Siegen: Siegen, Nordrhein-Westfalen, DE

University of Bremen: Bremen, DE

University of Koblenz and Landau: Koblenz, Rheinland-Pfalz, DE

Education and qualifications (3)

University of Bremen: Bremen, DE

University of Bremen: Bremen, DE

University of Bremen: Bremen, DE

Invited positions and distinctions (1)

University of Siegen: Siegen, Nordrhein-Westfalen, DE

Membership and service (4)

Netzwerk Wissenschaftsfreiheit: Mainz, DE

European Association of Methodology: Jena, DE

Association for Computing Machinery: New York, NY, US

Deutsche Physikalische Gesellschaft e V: Bad Honnef, Nordrhein-Westfalen, DE

Funding (2)

UBRA PORTAL: Prediction of mechanical properties of additively manufactured parts by means of Machine Learning

Ultrasonic Monitoring of Fibre Metal Laminates Using Integrated Sensors - Research Unit FOR 3022/1

Works (50 of 63)

Fast Temperature-Compensated Method for Damage Detection and Structural Health Monitoring with Guided Ultrasonic Waves and Embedded Systems

Optimization of Non-destructive Damage Detection of Hidden Damages in Fiber Metal Laminates Using X-ray Tomography and Machine Learning Algorithms

Robust Underwater Image Classification Using Image Segmentation, CNN, and Dynamic ROI Approximation

VNetOS: Virtualised Distributed and Parallel Sensor Network Operating Environment for the IoT and SHM

Programmable Density of Laser Additive Manufactured Parts by Considering an Inverse Problem

JAM: The JavaScript Agent Machine for Distributed Computing and Simulation with reactive and mobile Multi-agent Systems

Taxonomy of Damage Patterns in Composite Materials, Measuring Signals, and Methods for Automated Damage Diagnostics

BeeTS: Smart Distributed Sensor Tuple Spaces combined with Agents using Bluetooth and IP Broadcasting

PSciLab: An Unified Distributed and Parallel Software Framework for Data Analysis, Simulation and Machine Learning—Design Practice, Software Architecture, and User Experience

Preface: Proceedings of the 8th International Electronic Conference on Sensors and Applications

Combining Crowd Sensing and Social Data Mining with Agent-Based Simulation Using Mobile Agents Towards Augmented Virtuality

Self-organising Urban Traffic Control on Micro-level Using Reinforcement Learning and Agent-Based Modelling

Spatial Damage Prediction in Composite Materials Using Multipath Ultrasonic Monitoring, Advanced Signal Feature Selection and a Combined Classifying–Regression Artificial Neural Network

Parallel and Distributed Agent-based Simulation of Large-scale Socio-technical Systems with Loosely Coupled Virtual Machines

Supervised Distributed Multi-Instance and Unsupervised Single-Instance Autoencoder Machine Learning for Damage Diagnostics with High-Dimensional Data—A Hybrid Approach and Comparison Study

Distributed Serverless Chat Bot Networks using Mobile Agents: A Distributed Data Base Model for Social Networking and Data Analytics

Robust Detection of Hidden Material Damages Using Low-Cost External Sensors and Machine Learning

Real-Time Human-In-The-Loop Simulation with Mobile Agents, Chat Bots, and Crowd Sensing for Smart Cities

Material-integrated cluster computing in self-adaptive robotic materials using mobile multi-agent systems

Preface: Proceedings of the 5th International Electronic Conference on Sensors and Applications

Computing within Materials: Self-Adaptive Materials and Self-organizing Agents From Macroscale to Microscale Computing

Data mining with Machine Learning for the social sciences

Robust and Adaptive Non Destructive Testing of Hybrids with Guided Waves and Learning Agents

Augmented Virtual Reality: Combining Crowd Sensing and Social Data Mining with Large-Scale Simulation Using Mobile Agents for Future Smart Cities

Preface: Proceedings of the 4th International Electronic Conference on Sensors and Applications

An Ubiquitous Multi-Agent Mobile Platform for Distributed Crowd Sensing and Social Mining

Materials Informatics-Computing within Materials; The Future of Smart Materials

Towards Large-scale Material-integrated Computing: Self-Adaptive Materials and Agents

Robust and Adaptive Signal Segmentation for Structural Monitoring Using Autonomous Agents

Incremental Distributed Learning with JavaScript Agents for Earthquake and Disaster Monitoring

Towards Large-Scale Material-Integrated Computing: Self-Adaptive Materials and Agents

An Ubiquitous Multi-agent Mobile Platform for Distributed Crowd Sensing and Social Mining

Foreword: Proceedings of the 3rd International Electronic Conference on Sensors and Applications

Structural Monitoring with Distributed-Regional and Event-based NN-Decision Tree Learning Using Mobile Multi-Agent Systems and Common Java Script Platforms

Industrial Agents and Distributed Agent-Based Learning

Self-Adaptive Smart Materials: A New Agent-Based Approach

Data Evaluation in Smart Sensor Networks Using Inverse Methods and Artificial Intelligence (AI): Towards Real-Time Capability and Enhanced Flexibility

Distributed Machine Learning with Self-Organizing Mobile Agents for Earthquake Monitoring

Mobile Multi-agent Systems for the Internet-of-Things and Clouds Using the JavaScript Agent Machine Platform and Machine Learning as a Service

A hybrid approach for Structural Monitoring with self-organizing multi-agent systems and inverse numerical methods in material-embedded sensor networks

Design and Simulation of a Low-Resource Processing Platform for Mobile Multi-agent Systems in Distributed Heterogeneous Networks

Design and Simulation of Material-Integrated Distributed Sensor Processing with a Code-Based Agent Platform and Mobile Multi-Agent Systems

Design and Simulation of Material-Integrated Distributed Sensor Processing with a Code-Based Agent Platform and Mobile Multi-Agent Systems

From the Internet-of-Things to Sensor Clouds -Unified Distributed Computing in Heterogeneous Environments with Smart and Mobile Multi-Agent Systems

Unified Distributed Computing and Co-ordination in Pervasive/Ubiquitous Networks with Mobile Multi-Agent Systems using a Modular and Portable Agent Code Processing Platform

Cloud-Based Automated Design and Additive Manufacturing: A Usage Data-Enabled Paradigm Shift

<strong>Material-integrated Intelligent Systems: A Review on State of the Art, Challenges and Trends</strong>

A Unified Distributed Computing Framework with Mobile Multi-Agent Systems and Virtual Machines for Large-Scale Applications: From the Internet-of-Things to Sensor Clouds

Design and Simulation of Material-Integrated Distributed Sensor Processing with a Code-Based Agent Platform and Mobile Multi-Agent Systems

Design of Material-integrated Distributed Data Processing Platforms with Mobile Multi-agent Systems in Heterogeneous Networks