Prof. Dr.-Ing. Dieter Uckelmann

Professor, Scientific Director

Prof. Dr.-Ing. Dieter Uckelmann
Teaching areas:

IoT, Industrie 4.0, Lab-based Education, Digital Transformation, Smart Buildings, RFID, RTLS, BM, AI

Studyareas:
Computer Science
Geomatics
Studycourses:
Bachelor Digitalisation and Information Management
Master Green Logistics
Phone:
+49 711 8926 2632
Room:
2/145
Competence centre:
  • Digital Transformation in Research, Education and Busines
expert for:
Internet der Dinge, Industrie 4.0, Digitalisierung, Smart Buildings, RFID, RTLS, Smart City, Smart Logistics, Learning Analytics an AI in Education, Online Labore

Vita

  • Short CV

    Dieter Uckelmann has been Professor for Information Logistics at the Stuttgart University of Applied Sciences (HFT Stuttgart) since 2012. He studied mechanical engineering at the Technical University of Braunschweig and received his Ph.D. at the University of Bremen, Department of Production Engineering, on the topic "Quantifying the Value of RFID and the EPCglobal Architecture Framework in Logistics". His research activities focus on applications of the Internet of Things in the areas of Industry 4.0, logistics and smart buildings, as well as on the corresponding didactics, especially with the involvement of laboratories. He is co-editor of the "International Journal of RF-Technologies: Research and Applications". From 2005 to early 2012, he was managing director of the LogDynamics Lab at the University of Bremen. Prior to his academic career, he was managing director of several companies in the ICT industry.

  • since 9/2023

    Scientific Director, Institute of Applied Research (IAF)

  • since 3/2023

    Speaker of the research priority group "Smart Technologies, Processes and Methods" at HFT Stuttgart

  • since 2020

    Member of Baden-Württemberg Center of Applied Research (BW-CAR)

  • 2020 - 2022

    Affiliate Faculty, Department of Systems and Technology, Harbert College of Business, Auburn University, USA

  • 2019-2023

    Assistant Speaker of the Centre for Digital Transformation in Research, Education and Business (ZeDFLoW)

  • 2017-2022

    Dean of studies, BA Information Logistics

  • 2017-2021

    Visiting Professor, Department of Engineering and Architecture, Università degli studi di Parma, Italy

  • 2016

    Visiting researcher at Universitá di Parma (Italy)

  • since 2012

    Professor for Information Logistics, HFT Stuttgart, Germany

  • 2009

    Visiting researcher at the Institute for Manufacturing (IfM), at University of Cambridge (UK)

  • conference activities

    RFID Journal Awards (Judge), Online-Labs in Education 2022 (Chief Editor)

Research

KNIGHT

This BMBF- and MWK-funded project on „Artificial Intelligence for Education at HFT Stuttgart – KNIGHT“ focusses firstly on the individualisation of student learning processes and the support of professors in their supervisory tasks and secondly on the development of competences that promote the trustworthy and competent use of AI technology.

iCity 2: UDigit4iCity

Urban Digital Twins for the iCity: The UDigiT4iCity project investigates current issues regarding the use of urban data for urban digital twins. The collection, aggregation and use of Internet of Things (IoT) data in urban buildings and its provision for smart city platforms is being investigated in. The usability of 5G for urban sensor networks is being explored in.

View project
Logo Projekt UDigiT4iCity

iCity 2: SenSim4iCity

Sensors and simulation for energy efficiency and the environment. In one sub-project, the use of radio-based smart building technologies in industrial facility management is being tested.

View project
Touchpanel mit den Sensordaten und Steuerelementen eines Raumes / Touch panel with sensor data and control elements of a room

iCity: ICT4iCity

Information and communication technology (ICT) is an important component of the smart city. Thematic areas addressed are: Smart Public Buildings and Infrastructures 5G-4-iCity see www.hft-stuttgart.com/research/projects/current/ict4icity

iCity:EnSim4iCity

Sensor data is increasingly being collected and made available in the course of smart building, smart city and Industry 4.0 projects. Sub-project 2 is investigating potential as well as suitability of decentralized wireless solutions for industrial buildings.

DigiLab4U

Digitisation in education and research enables new forms of location-independent networking of laboratory infrastructures. This involves mastering technical, organisational and didactic challenges. A research consortium consisting of the University of Applied Sciences Stuttgart (HFT), the Bremen Institute for Production and Logistics (BIBA), the Institute for Knowledge Media (IWM) of the University of Koblenz-Landau, RWTH Aachen and the University of Parma is meeting these challenges in the project funded by the German Federal Ministry of Education and Research (BMBF). see www.digilab4u.com

Smart Public Building

Universal platform for interactive technology management in public buildings.

SensAR

Sensory data and augmented reality: The project SensAR - Location- and context-related sensory data communicated via augmented reality focuses on the communication of sensory data by means of augmented reality (AR) and its use in the production process.

Smart Learning Platform

The project "Industry 4.0 - Smart Learning Platform 4.0" is one of the twelve winners of the funding programme "Curriculum 4.0", which was selected from almost 150 applications by the Carl Zeiss Foundation and the Donors' Association for the Promotion of Sciences and Humanities in Germany (Stifterverband für die Deutsche Wissenschaft e.V.) to support necessary course reforms at German universities due to the digital transformation of the working world that is already taking place.

Smart_E_Park

An innovative and intuitive mobile application for charging point booking and activation with a connection to the public transport system will be developed and an innovative business modelhave been investigated. see www.hft-stuttgart.com/research/projects/current/smart-e-park-project

Facility

Industry 4.0 Laboratory

In the Industry 4.0 laboratory, industrial applications in the Internet of Things (IoT) are researched and tested. The technologies studied include Radio-Frequency Identification (RFID), Real-time Locating Systems (RTLS), radio-based sensor technology, radio networks (e.g. LoRaWAN, 5G, ...), IoT architectures, IoT ontologies, as well as IoT applications in production, logistics and building management.

View facility
Messkammer Virtual Reality Industrie 4.0 Labor

Publications

  • Publications

    excerpts - for a complete list of publications please refer to the German website

  • 2024

    Sharif, M.; Uckelmann, D. (2024) Multi-Modal LA in Personalized Education using Deep Reinforcement Learning Based Approach. IEEE Access. DOI: 10.1109/ACCESS.2024.3388474 (accepted for publication)

  • 2023

    Bhavasar, J.; Sharif, M.; Uckelmann, D. (2023) Enhancing Personalized Learning Experiences: Leveraging Multi-Modal Learning Analytics Dashboards. Proceedings of the 7th International Academic Conference on Education, London, 2023. ISBN: 978-609-485-470-5

  • 2024

    Uckelmann, D. (2024) Why providing a comprehensive IoT education is impossible – but we should nevertheless strive to do so. Key-Note, International Conference on Smart Technologies & Education (STE2024). 6.-8.3.2024, Helsinki, Finnland.

  • 2024

    Traboulsi, S.; Uckelmann, D. (2024) Enhancing Municipal Fleet Management in Smart Cities through 5G Integration. International Conference on Smart Technologies & Education (STE2024). 6.-8.3.2024, Helsinki, Finnland.

  • 2024

    Otto, R.; Guedey, M.; Uckelmann, D. (2024) Evaluating Room Occupancy with CO2 Monitoring in Schools: A Student-Participative Approach for Presence-Based Heating Control. International Conference on Smart Technologies & Education (STE2024). 6.-8.3.2024, Helsinki, Finnland.

  • 2023

    Guedey, M.; Otto, R.; Uckelmann, D. (2023) Reduction of heating energy consumption pf existing public buildings through the use of IoT.  2023 IEEE International Smart Cities Conference (ISC2), Bucharest, Romania, 2023, pp. 1-7, DOI: 10.1109/ISC257844.2023.10293581

  • 2023

    Sharif, M., Munz, F., Uckelmann, D. (2023). KNIGHT Learning Analytics Architecture for Betterment of Student Education. In: Schlippe, T., Cheng, E.C.K., Wang, T. (eds) Artificial Intelligence in Education Technologies: New Development and Innovative Practices. AIET 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 190. Springer, Singapore. https://doi.org/10.1007/978-981-99-7947-9_4

  • 2023

    Knapp, H.; Romagnoli, G.; Uckelmann, D. (2023) Architecture, application and implementation of a digital twin of the RFID-enabled material flow (DTRMF) in real-time for automotive intralogistics. International Journal of RF Technologies,  pp. 1-32. DOI: 10.3233/RFT-221513 (pre-press)

  • 2023

    Traboulsi, S.; Uckelmann, D. (2023) 5G-enhanced Positioning Accuracy in Smart City.  International Journal of Ubiquitous Systems and Pervasive Networks (JUSPN) , 18(1), pp. 31 - 38. DOI: 10.5383/JUSPN.18.01.005 Open Access Link: https://iasks.org/articles/juspn-v18-i1-pp-31-38.pdf

  • 2023

    Bertolini, M.; Neroni, M.; Uckelmann, D. (2023)  A survey of literature on automated storage and retrieval systems from 2009 to 2019. Int. J. of Logistics Systems and Management. 44(4), pp. 514-552. DOI: 10.1504/IJLSM.2023.130783

  • 2022

    Uckelmann, D.; Judel, S.; Görzen, S.; Greven, Ch.; Schroeder, U. (2022)  Structured Digital Writing Lab: Workflow, Application and Evaluation. International Journal of Online and Biomedical Engineering (iJOE), 18(14), S. 133-146. DOI: 10.3991/ijoe.v18i14.35075 . Open Access Link: https://online-journals.org/index.php/i-joe/article/view/35075

  • 2022

    Pfeiffer, A.; Uckelmann, D. (2022) Fostering Lab-Based Learning with Learning Analytics. A Literature Review: International Journal of Online and Biomedical Engineering (iJOE), 18(14), pp. 4-27. DOI: 10.3991/ijoe.v18i14.35073 . Open Access Link: https://online-journals.org/index.php/i-joe/article/view/35073

  • 2022

    Kammerlohr, V.; Paradice, D.; Uckelmann, D. (2022) A Maturity Model for the Effective Digital Transformation of Laboratories. Journal of Manufacturing Technology Management. DOI: 10.1108/JMTM-01-2022-0050

  • 2022

    Kammerlohr, V.; Uckelmann, D.; Baalsrud Hauge, J. (2021) A Multi-Sided Platform to Activate the Sharing of Digital Labs. International Journal of Online and Biomedical Engineering (iJOE), vol. 17 (11), pp. 4-33. DOI: 10.3991/ijoe.v17i11.25183

  • 2022

    Knapp, H.; Uckelmann, D. (2022) Literature Review on Sources of Interference and Proposed Solutions for RFID Installations in Complex Production and Logistics Processes in the Automotive Industry. International Journal of RF Technologies: Research and Applications. DOI: 10.3233/RFT-210312

  • 2021

    Kammerlohr, V.; Uckelmann, D.; Baalsrud Hauge, J. (2021) A Multi-Sided Platform to Activate the Sharing of Digital Labs. International Journal of Online and Biomedical Engineering (iJOE), vol. 17 (11), pp. 4-33.  DOI: 10.3991/ijoe.v17i11.25183

  • 2021

    Uckelmann, D.; Pfeiffer, A. (2021) The Writing Factory: Structured Collaborative Academic Writing in Engineering, 2021 IEEE Global Engineering Education Conference (EDUCON) Proceedings, pp. 99-105. https://doi.org/10.1109/EDUCON46332.2021.9453907

  • 2021

    Uckelmann, D.; Mezzogori, D.; Esposito, G.; Neroni, M.; Reverberi, D.; Ustenko, M., Baaslrud-Hauge, J. (2021) Guideline to Safety and Security in Federated Remote Labs. International Journal of Online and Biomedical Engineering (iJOE), vol. 17 (4), pp. 39-62. https://online-journals.org/index.php/i-joe/article/download/18937/8993

  • 2020

    Guedey, M.; Uckelmann, D. (2020) Exploring Smart Home and Internet of Things Technologies for Smart Public Buildings. IoT20: Proceedings of the 10th International Conference on the Internet of Things, pp. 1–8. https://dl.acm.org/doi/pdf/10.1145/3410992.3411009

  • 2020

    Galli M., Mezzogori D., Reverberi D., Uckelmann D., Ustenko M., Volpi A. (2020) DigiLab4U: General Architecture for a Network of Labs. Proceedings of the 25th Summer School “Francesco Turco” – Industrial Systems Engineering, 9.-11.9.2020. https://drive.google.com/file/d/1TCkbwg4tcRsHo_xcLw9jK-Vk75XTLcW2/view

  • 2020

    Pfeiffer, A.; Lukarov, V.; Romagnoli, G.; Uckelmann, D.; Schroeder, U. (2020) Experiential Learning in Labs and Multimodal Learning Analytics. In: Ifenthaler D., Gibson D. (Eds.) Adoption of Data Analytics in Higher Education Learning and Teaching. Advances in Analytics for Learning and Teaching. Springer, Cham. https://doi.org/10.1007/978-3-030-47392-1_18

  • 2020

    Romagnoli, G.; Esposito, G.; Rizzi, A.; Zammori, F.; Bertolini, M.; Uckelmann, D. (2020) Lab networks in engineering education: a proposed structure for organizing information. International Journal of Online and Biomedical Engineering (iJOE). Vol. 16 (5), pp. 41-70. http://online-engineering.org/dl/iJOE/iJOE_vol16_no05_2020_S.pdf

  • 2020

    Guedey, M.; Pfeiffer, A.; Uckelmann, D. (2020) Transferring Research on IoT Applications for Smart Buildings into Engineering Education. IEEE Educon 2020.

  • 2020

    Uckelmann, D.; Mezzogori, D.; Esposito, G.; Neroni,  M.; Reverberi, D.; Ustenko, M. (2020): Safety and Security in Federated Remote Labs – A Requirement Analysis. In Auer, Michael E., und May, Dominik (Eds.) Online Engineering & Internet of Things: Proceedings of the 16th International Conference on Remote Engineering and Virtual Instrumentation REV 2020, 26-28 Februar 2020, University of Georgia, Athens, GA, USA, pp. 28-43.https://link.springer.com/chapter/10.1007/978-3-030-52575-0_2

  • 2020

    Kammerlohr, V.; Pfeiffer, A.; Uckelmann, D. (2020) Digital Laboratories for Educating the IoT-Generation - Heatmap for Digital Lab Competences. In Auer, Michael E., und May, Dominik (Eds.) Online Engineering & Internet of Things: Proceedings of the 16th International Conference on Remote Engineering and Virtual Instrumentation REV 2020, 26-28 Februar 2020, University of Georgia, Athens, GA, USA, pp. 11-27. https://link.springer.com/chapter/10.1007/978-3-030-52575-0_1

  • 2019

    Pfeiffer, A.; Uckelmann, D. (2019): Open Digital Lab for You – Laboratory-based learning scenarios in education, research and qualification. In: Alberto Cardoso und Maria Teresa Restivo (Eds.): Proceedings of the 2019 5th Experiment@ International Conference (exp.at2019): IEEE, pp. 36–41.

  • 2017

    Bertolini, M., Romagnoli, G., Zammori, F., Uckelmann, D. (2017) An industrial perspective on Workload Control: economic evaluation and suitable technologies. In: Proceedings of the 7th IESM Conference, Saarbrücken.

  • 2016

    Uckelmann, D.; Romagnoli, G. (2016). RF-based Location of Mobile Objects. In: Prodceedings of the 6th International Conference on the Internet of Things (IoT'16). ACM DL Digital Library, pp. 147-154.

  • 2012

    Uckelmann, D. (2012). Quantifying the Value of RFID and the EPCglobal Architecture Framework in Logistics. Berlin, Germany: Springer.

  • 2012

    Uckelmann, D. (2012). The role of logistics labs in research and higher education. The Impact of Virtual, Remote and Real Labs in Logistics – ImViReLL 2012, Bremen, Deutschand.

  • 2011

    Uckelmann, D., Scholz-Reiter, B. (2012). Combining Real and Virtual Research Environments through the Internet of Things. In G.D. Putnik & M.M. Cruz-Cunha (Eds.), ViNOrg 2011, CCIS 248. Heidelberg: Springer, pp. 70–79.

  • 2011

    Uckelmann, D., Harrison, M., & Michahelles, F. (2011). An Architectural Approach towards the Future Internet of Things. In D. Uckelmann, M. Harrison & F. Michahelles (Eds.), Architecting the Internet of Things. pp. 1-24, Berlin: Springer.

Misc.

LinkedIn: https://www.linkedin.com/in/dieter-uckelmann/