Ravelijn

dr. J.P.S. Piest (Sebastian)

Assistant Professor
BMS-HBE-IEBIS
Ravelijn 3341
j.p.s.piest@utwente.nl
+31534895981
Business card

dr. ing. J.P.S. (Sebastian) Piest PDEng-CL MSCM MBA BHRM is Assistant Professor in the Section Financial Engineering and Business Information Systems (FEBIS) of the Faculty Behavioural, Management & Social Sciences (BMS) at the University of Twente (UT). Sebastian is an impact-driven, well-connected, and independent scholar and change leader who values teamwork and live long learning. Blending a strong interdisciplinary academic background with a decade of professional experience in the IT and services industry, where he commercialized an integration tool into a successful platform company, he thrives at the intersection of research and practice to create positive impact.

Since he joined the UT in 2018, Sebastian developed his research agenda focusing on Enterprise Architecture, Data Spaces and Ecosystems, Design Science, Data Science, and Intelligence Amplification in the context of Industry 5.0 and Society 5.0. He disseminated his research to the scientific community through 44 academic publications and 20 conference/workshop presentations and to practice via 49 professional publications and 53 invited talks as keynote speaker, workshop facilitator, or panellist. Sebastian has a proven track record in consortium building for grant acquisition and leading impactful research projects in the role of (co-)applicant, principal researcher, or work package leader. Based on his EngD and PhD research, he developed a Design Canvas, Design Method and Design Theory for Intelligence Amplification. He co-developed the Community of Practice for AI in Logistics with four Universities of Applied Sciences and he helped 32 organizations kick-start AI-projects by organizing workshops, co-creating an AI-toolbox, thesis projects with students, and an eLearning about AI in Logistics via the NL AI-Coalition (5000+ learners).

Sebastian is actively involved in the Bachelor and Master programmes Business Information Technology (BIT), Industrial Engineering and Management (IEM), and part-time Master Risk Management (MRM). Here, he coordinates and teaches in courses such as Enterprise Architecture, Information Management, Data Science for Engineers, and Cycle of Risk Management. Sebastian is specialized in challenge- and project-based learning and blends his research projects with real-life problems of stakeholders to create an engaging learning experience for students. Next to education, he supervised and examined 72 thesis projects (Bachelor, Master, EngD). Furthermore, he contributes to the development of the Professional Learning & Development (PLD) course Digital Mastery and the new part-time Master Digital Design & Architecture (DDA).

Asides from research and education, Sebastian is an active academic citizen. At the UT, he is the chair of the Program Committee of MRM, member of the MBIT Admissions Committee, member of the Daily Board of the FEBIS section, and DesignLab Research Fellow. Externally, he is member of the Steering Committee Supply Chains at the Topsector Logistics and member of the Program- and Organizing Committee of the International EDOC Conference.

Organisations

Publications

Jump to: 2025 | 2024 | 2023

2025

Requirements Analysis for a Digital Twin to Increase the Resilience of Multimodal Corridors: A Case Study in the Twente Region (2025)In Advanced Information Systems Engineering Workshops - CAiSE 2025 Workshops, Proceedings (pp. 219-230) (Lecture Notes in Business Information Processing; Vol. 556 LNBIP). Springer. Guizzardi - Silva Souza, R., Piest, J. P. S., Akyazi, A., Ariji, S., Tao, T., Bastani, M., Scheijgrond, A. R., Kromanis, R., Vahdatikhaki, F., Hüllmann, J. A. & Mes, M.https://doi.org/10.1007/978-3-031-94931-9_18Towards a Data Mesh Reference Architecture (2025)In Enterprise Design, Operations, and Computing. EDOC 2024 Workshops: iRESEARCH, MIDas4CS, Doctoral Consortium, Joint CBI–EDOC Forum and Other Joint CBI-EDOC Events, Vienna, Austria, September 10–13, 2024, Revised Selected Papers (pp. 339-353) (Lecture Notes in Business Information Processing; Vol. 537). van der Werf, D., Rebelo Moreira, J. L. & Piest, J. P. S.https://doi.org/10.1007/978-3-031-79059-1_21Drivers and Metrics for Quantifying IT Landscape Complexity (2025)In Enterprise Design, Operations, and Computing (EDOC 2024) (pp. 219-236) (Lecture Notes in Computer Science; Vol. 15409). Springer. Stoica., E., Rebelo Moreira, J. L., Piest, J. P. S. & Bukhsh, F. A.https://doi.org/10.1007/978-3-031-78338-8_12Vision Paper for Enabling Generative AI Digital Platform Using AIDAF in Healthcare and Manufacturing Industry (2025)In Human Centred Intelligent Systems - Proceedings of KES-HCIS 2024 Conference (pp. 177-190) (Smart Innovation, Systems and Technologies; Vol. 414). Springer. Masuda, Y., Piest, J. P. S., Jain, R., Shepard, D., Nakamura, O., Toma, T. & Shirasaka, S.https://doi.org/10.1007/978-981-97-8598-8_16Impact and Implications of Generative AI for Enterprise Architects in Agile Environments: A Systematic Literature Review (2025)[Working paper › Preprint]. ArXiv.org. Kooy, S. J., Piest, J. P. S. & Bemthuis, R. H.https://doi.org/10.48550/arXiv.2510.22003

2024

A domain reference ontology for design science research knowledge bases (2024)In Proceedings of the Joint Ontology Workshops (JOWO) - Episode X: The Tukker Zomer of Ontology, and satellite events co- located with the 14th International Conference on Formal Ontology in Information Systems (FOIS 2024) (CEUR Workshop Proceedings; Vol. 3882). CEUR. Piest, J. P. S., Benoiston Jales de Oliviera, V., de Alencar Silva, P., Ricardo da Cunha Junior, M. & van Sinderen, M. J.https://ceur-ws.org/Vol-3882/A Design Science Research Knowledge Base for Intelligence Amplification (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Piest, J. P. S.https://doi.org/10.3990/1.9789036557542Developing and Deploying Federated Learning Models in Data Spaces: Smart Truck Parking Reference Use Case (2024)In Enterprise Design, Operations, and Computing. EDOC 2023 Workshops - IDAMS, iRESEARCH, MIDas4CS, SoEA4EE, EDOC Forum, Demonstrations Track and Doctoral Consortium, 2023, Revised Selected Papers (pp. 39-59) (Lecture Notes in Business Information Processing; Vol. 498 LNBIP). Springer. Piest, J. P. S., Datema, W., Firdausy, D. & Bastiaansen, H.https://doi.org/10.1007/978-3-031-54712-6_3Multiple Use Case Analysis of an AI Hospital Using the AIDAF and Intelligence Amplification Design Canvas (2024)In Enterprise Design, Operations, and Computing. EDOC 2023 Workshops - IDAMS, iRESEARCH, MIDas4CS, SoEA4EE, EDOC Forum, Demonstrations Track and Doctoral Consortium, 2023, Revised Selected Papers (pp. 5-22) (Lecture Notes in Business Information Processing; Vol. 498 LNBIP). Springer. Piest, J. P. S., Jinzaki, M., Masuda, Y., Toriya, M., Nakamura, O. & Toma, T.https://doi.org/10.1007/978-3-031-54712-6_1Towards a Knowledge Base and Design and Action Theory for Intelligence Amplification (2024)In Enterprise Design, Operations, and Computing. EDOC 2023 Workshops - IDAMS, iRESEARCH, MIDas4CS, SoEA4EE, EDOC Forum, Demonstrations Track and Doctoral Consortium, 2023, Revised Selected Papers (pp. 355-362) (Lecture Notes in Business Information Processing; Vol. 498 LNBIP). Springer. Piest, J. P. S.https://doi.org/10.1007/978-3-031-54712-6_24

2023

A Method for Bottleneck Detection, Prediction, and Recommendation Using Process Mining Techniques (2023)In E-Business and Telecommunications: 18th International Conference on E-Business and Telecommunications, ICETE 2021, Virtual Event, July 6–9, 2021, Revised Selected Papers (pp. 118-136) (Communications in Computer and Information Science (CCIS); Vol. 1795). Springer. Piest, J. P. S., Bemthuis, R. H., Cutinha, J. A., Arachchige, J. J. & Bukhsh, F. A.https://doi.org/10.1007/978-3-031-36840-0_7Human-Centred Design Thinking Using the Intelligence Amplification Design Canvas and the Adaptive Integrated Digital Architecture Framework (2023)In Human Centred Intelligent Systems: Proceedings of KES-HCIS 2023 Conference (pp. 153-163) (Smart Innovation, Systems and Technologies; Vol. 359). Springer. Piest, J. P. S., Masuda, Y., Nakamura, O. & Karaca, K.https://doi.org/10.1007/978-981-99-3424-9_15Healthcare Under Society 5.0: A Systematic Literature Review of Applications and Case Studies (2023)In Innovation in Medicine and Healthcare: Proceedings of 11th KES-InMed 2023 (pp. 77–87) (Smart Innovation, Systems and Technologies; Vol. 357). Springer. Piest, J. P. S., Masuda, Y. & Nakamura, O.https://doi.org/10.1007/978-981-99-3311-2_8A Reference Use Case, Data Space Architecture, and Prototype for Smart Truck Parking (2023)In Proceedings of the 22nd CIAO! Doctoral Consortium, and Enterprise Engineering Working Conference Forum 2022 co-located with 12th Enterprise Engineering Working Conference (EEWC 2022) (pp. 1-15). Article 1 (CEUR Workshop Proceedings; Vol. 3388). CEUR. Piest, J. P. S., Slavova, S. & van Heeswijk, W. J. A.https://ceur-ws.org/Vol-3388/paper1.pdfTutorial: Conceptualizing intelligence amplification in human-centred AI applications using the design canvas (2023)In Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial Intelligence and Future Applications (pp. 129-138). AHFE Conference. Piest, J. P. S., Iacob, M. E. & Wouterse, M. J. T.https://doi.org/10.54941/ahfe1002937

Research profiles

Affiliated study programs

Courses academic year 2025/2026

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2024/2025

Current projects

SMART4L

a learning community and platform to accelerate (inter)regional collaboration for ICT-driven innovation in logistics

SMART4L will (re)design, optimize, and substantiate learning communities in three regional contexts (Port of Twente, Logistics Lab Zwolle and KmD-Datalab). It will do so by (1) examining factors for sustainable cooperation, collective learning processes and individual outcomes in these two existing ecosystems; (2) developing a collaborative ICT platform to facilitate knowledge sharing, learning, and collaboration among stakeholders; and (3) identifying and optimizing social processes that increase innovation and learning processes at the micro- (from learning to innovation within organizations), meso- (the dynamics of learning and co-creation between organizations), and macro-level (the dynamics of co-creation within and between the three regions). Taken together, SMART4L will facilitate (inter)regional collaborations in the logistics sector to improve the learning and adoption of IT innovations, thereby increasing the sector’s efficiency and sustainability.

TRIUMPH

Transitioning towards resilient multimodal corridors using digital twinning

In this project, we build upon existing capabilities to monitor multimodal corridors by providing platform functionality and supporting work practices to transition toward resilient and climate-adaptive synchromodal corridors. Developing such a platform requires collective efforts to share data (e.g., geo-hydrological, IoT, weather, planning, logistics) and develop interorganizational processes to mitigate risks of reverse modal shift and reduce its cascading effects. The main objectives of this 3-year project are to: 1. develop a resilience toolbox to support companies and public stakeholders to individually and collaboratively develop resilient corridors, focussing on transforming existing corridors; 2. design and develop a digital twin for resilient multimodal corridors, supporting the transition into a synchromodal corridor being able to use the best modality at any moment.

FMaaS

Freight Mobility as a Service

The goal of this project is to conceive an effective and sustainable digital matching platform for composite services, defined as Freight Mobility as a Service (FMaaS), combining offerings from multiple, independent service providers, analyse its consequences, and understand the conditions under which such platforms are accepted and used, and provide environmental and societal benefits.

Finished projects

Autonomous Logistics Miners for Small-Medium Businesses

The objective of this project is to improve the competitiveness of Small & Medium Sized Businesses in Logistics with the application of smart data mining agents that make decisions autonomously and can execute routine tasks with minimal supervision of human workers.

Synchromodal IT

Within the project Synchromodal IT, the University of Twente, together with eight industry partners, developed new IT services for synchromodal logistics. The project was created based on a unique combination of mathematical methods, gaming and IT expertise.

STEERS

TowardS inTelligEnt intER-hub-logiStics

The focus of STEERS is to explore the real-life challenges associated with the logistics operation in a small-to-medium size logistics hub and investigate the potential of intelligent and connected technology to address such challenges. This project will investigate the requirements for the application of automated vehicles in inter-hub transportation and simultaneously explore the potential of intelligent inter-hub corridors. Additionally, inter-hub communications will also provide the opportunity to explore their potential impact on the planning and coordination of intra-hub activities, with an explicit focus on the changing role of human planners.

CLICKS

IDS connector store and interoperability simulator for SMEs

This project develops the Logistic Data Space (LDS), which allows logistics companies to participate in digital ecosystems for efficient collaboration and new services. LDS consists of a Connector Store, offering connectors to realize data exchange between heterogeneous ICT environments, and an Interoperability Simulator, to explore collaboration opportunities prior to implementation.

REAL

Reinforcement LeArning Platform for SMEs in Logistics

ReAL goes from prototyping to a scalable reinforcement learning platform based on the Open Trip Model (OTM), and made available to the logistics industry (especially SMEs). The platform supports decision-making in logistics processes, is developed/tested by partners from the ICCOS-consortium, and will also be complemented by training materials and workshops.

ICCOS

Industry 4.0 driven Supply Chain Coordination for SMEs

ICCOS aims at improving the competitiveness of the Dutch logistics sector by increasing the adoption and usage of industry 4.0 related technologies in combination with advanced real-time data analytics.

DASLOGIS

Development and valorization of a Dutch Data Space for LOGIStics

the DASLOGIS project pursues the development of a DLDS: a digital virtual environment or eco-system which facilitates finding and controlled sharing of (potentially) sensitive data. It provides flexibility, extendibility and personalization to support the three main types of logistics data sharing [1]: ‘sharing of transaction data for operations optimization’, ‘sharing of (big) data for data for data analytics’ and ‘sharing of supply chain data for real-time visibility’. DLDS will be based on the generic and internationally standardized International Data Spaces (IDS) reference architecture as developed by the International Data Spaces Association (IDSA), augmented and tailored to Dutch logistics needs where applicable. In a proof-of-concept setting, the project partners provide the required functionality in a Dutch logistics context. The initial DLDS implementation will be used to demonstrate the feasibility and value of a DLDS for the Dutch logistics sector using logistics use cases.

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