Prof. Dr. Thomas Schlegel
IIIUS, Furtwangen University, Furtwangen im Schwarzwald, Baden-Württemberg, Germany
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(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications20 January 2011 in IEEE Systems Journal
Journal Article
Supply chains are characterized by multiple firms providing their resources and processes to meeting customer demand in an efficient manner. There exists a great variety of approaches for solving the inherent coordination problem. It has been acknowledged that the autonomy of supply chain participants - and their business objectives - as well as the contractual relations between participants have to be maintained when designing a coordination mechanism. Often, new mechanisms are triggered by innovation in the software industry. This paper adopts the basic idea of Cloud Computing and takes a Cloud perspective on supply chain systems: It proposes to represent supply chains as a set of service offerings and customer demand as service requests; coordination is then a problem of determining optimal service compositions. We evaluate our proposal in a case study of airport service supply chains.
8 December 2023 in ACM Transactions on Interactive Intelligent Systems
Journal Article
MZMarc-André Zöller
Marc-André Zöller
Waldemar TitovThomas Schlegel
Marco HuberIn the last 10 years, various automated machine learning (AutoML) systems have been proposed to build end-to-end machine learning (ML) pipelines with minimal human interaction. Even though such automatically synthesized ML pipelines are able to achieve competitive performance, recent studies have shown that users do not trust models constructed by AutoML due to missing transparency of AutoML systems and missing explanations for the constructed ML pipelines. In a requirements analysis study with 36 domain experts, data scientists, and AutoML researchers from different professions with vastly different expertise in ML, we collect detailed informational needs for AutoML. We propose XAutoML , an interactive visual analytics tool for explaining arbitrary AutoML optimization procedures and ML pipelines constructed by AutoML. XAutoML combines interactive visualizations with established techniques from explainable artificial intelligence (XAI) to make the complete AutoML procedure transparent and explainable. By integrating XAutoML with JupyterLab , experienced users can extend the visual analytics with ad-hoc visualizations based on information extracted from XAutoML . We validate our approach in a user study with the same diverse user group from the requirements analysis. All participants were able to extract useful information from XAutoML , leading to a significantly increased understanding of ML pipelines produced by AutoML and the AutoML optimization itself.
1 January 2011
Book Chapter
JMJulia Moehrmann
Julia Moehrmann
SBStefan Bernstein
Stefan Bernstein
Thomas SchlegelGWGünter Werner
Günter Werner
GHGunther Heidemann
Gunther Heidemann
1 January 2007
Book Chapter
JYJilin Ye
Jilin Ye
SBSaurin Badiyani
Saurin Badiyani
VRVinesh Raja
Vinesh Raja
Thomas Schlegel27 May 2015
Book Chapter
1 November 2002 in Acta Horticulturae
Journal Article
Thomas SchlegelJSJ. Schönherr
J. Schönherr
ISHS International Symposium on Foliar Nutrition of Perennial Fruit Plants PENETRATION OF CALCIUM CHLORIDE INTO APPLE FRUITS AS AFFECTED BY STAGE OF FRUIT DEVELOPMENT
About Me
Prof. Dr. Thomas Schlegel has been a full professor at Furtwangen University (HFU) since 2022 and is the founding director of the Institute for Intelligent Interactive Ubiquitous Systems (IIIUS), established in 2023. He previously founded and led the Institute for Ubiquitous Mobility Systems at Karlsruhe University of Applied Sciences, where he
conducted research and taught in the field of Computer Science and Mobility Systems from 2015 onward. From 2010, he held a Junior Professorship in Software Engineering of Ubiquitous Systems at TU Dresden, leading a 20-person research group in ubiquitous systems and teaching Human-Computer Interaction and
Software Engineering in the Media Computer Science program. Prior to that, he was a postdoctoral researcher and group leader for Interactive Systems at the Visualization and Interactive Systems (VIS) Institute at the University of
Stuttgart. He began his research career at the Fraunhofer Institute for Industrial Engineering (IAO), contributing to and managing numerous national and EU research projects. He holds a Software Engineering degree (Univ. of
Stuttgart) and a Ph.D. in Engineering. He has conducted applied research and taught in software technology and interactive and ubiquitous systems, with applications in digitized production, mobility systems/public transport, and
environmental systems. He has acquired over 15 million euros in research funding, has authored more than 150 publications and taught over 100 courses.