J.P.S. Piest (Sebastian)

Jean Paul Sebastian Piest is currently Researcher at the Department of Industrial Engineering and Business Information Systems at the University of Twente.

He graduated cum laude for the PDEng programmes Civil Engineering and Business Information Technology (2022), holds a double Master degree in Supply Chain Management and Business Administration (2017) and Bachelor degrees in Industrial Engineering and Management (2011) and Human Resource Management (2007).

Currently, he is principal researcher in the TKI DINALOG project Industry 4.0 driven Supply Chain Coordination for Small- & Medium sized Enterprises (ICCOS). His current research interests are enterprise architecture, information systems, artificial intelligence, intelligence amplification, the future of work and education.

Previously, he worked 10 years in the information technology and services industry and consulted organizations in the logistics and supply chain industry.

His personal ambition is to build bridges between science and industry.

Engineering & Materials Science

# Amplification
# Industry
# Interoperability
# Logistics

Mathematics

# Enterprise Architecture
# Resilience

Business & Economics

# Logistics
# Schema Matching

Piest, J. P. S., Masuda, Y. , & Iacob, M. E. (2023). Digital Architectures Under Society 5.0: An Enterprise Architecture Perspective. In T. P. Sales, H. A. Proper, G. Guizzardi, M. Montali, F. M. Maggi, & C. M. Fonseca (Eds.), Enterprise Design, Operations, and Computing. EDOC 2022 Workshops. EDOC 2022.: IDAMS, SoEA4EE, TEAR, EDOC Forum, Demonstrations Track and Doctoral Consortium, Bozen-Bolzano, Italy, October 4–7, 2022, Revised Selected Papers (pp. 5-24). (Lecture Notes in Business Information Processing; Vol. 466). Springer Nature. https://doi.org/10.1007/978-3-031-26886-1_1

Piest, J. P. S., Ghezelsoflu, A. , & Iacob, M. E. (2022). Publieke eindrapportage - Reinforcement Learning Platform voor Logistieke MKB. TKI Dinalog.

Piest, J. P. S. , & Iacob, M. E. (2022). Publieke eindrapportage - Industry 4.0 driven Supply Chain Coordination for Small and Medium-sized Enterprises. TKI Dinalog.

Piest, J. P. S. , Iacob, M. E., & Wouterse, M. J. T. (2022). Designing Intelligence Amplification: Organizing a Design Canvas Workshop. In Accelerating Open Access Science in Human Factors Engineering and Human-Centered Computing (Vol. 68, pp. 247-251). [33] https://doi.org/10.54941/ahfe1002739

Piest, J. P. S. , Iacob, M. E., & Wouterse, M. J. T. (2022). Designing Intelligence Amplification: a Design Canvas for Practitioners. In Accelerating Open Access Science in Human Factors Engineering and Human-Centered Computing (Vol. 68, pp. 68-76). [8]. https://doi.org/10.54941/ahfe1002714

Duin, R. P. W., Dharmasastha, S. , & Piest, J. P. S. (2022). Towards Automated Container Transportation by Integrating Blockchain Technology: A Case Study at XL Businesspark in Almelo. In Bijdragen Vervoerslogistieke Werkdagen 2022 (pp. 205-216). (Bijdragen Vervoerslogistieke Werkdagen 2022).

Piest, J. P. S. (2022). An Industry Platform for Data-driven Logistics in Small and Medium-sized Enterprises. [EngD Thesis, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036553650

Piest, J. P. S., De Alencar Silva, P. , & Bukhsh, F. A. (2022). Aligning Dutch Logistics Data Spaces Initiatives to The International Data Spaces: Discussing The State of Development. In Proceedings of the Workshop of I-ESA’22 (CEUR Workshop Proceedings; Vol. 3214). CEUR. http://ceur-ws.org/Vol-3214/WS6Paper1.pdf

Slavova, S. , Piest, J. P. S. , & van Heeswijk, W. J. A. (2022). Predicting truck parking occupancy using machine learning. Procedia computer science, 201, 40-47. https://doi.org/10.1016/j.procs.2022.03.008

Aldea, A., Vaicekauskaite, E. , Daneva, M. , & Piest, J. P. S. (2021). Enterprise Architecture Resilience by Design: A Method and Case Study Demonstration. In Proceedings - 2021 IEEE 25th International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2021 (pp. 147-156). (IEEE International Enterprise Distributed Object Computing Workshop, EDOCW; Vol. 2021). IEEE. https://doi.org/10.1109/EDOCW52865.2021.00044

Piest, J. P. S. , Iacob, M. E. , van Sinderen, M. J., Gemmink, M., & Goossens, B. (2021). A Reinforcement Learning Platform for Small and Medium-sized Enterprises in Logistics. In 2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW) (pp. 289-298). (IEEE International Enterprise Distributed Object Computing Workshop (EDOCW); Vol. 2021). IEEE. https://doi.org/10.1109/EDOCW52865.2021.00060

Bemthuis, R. H., van Slooten, N., Arachchige, J. , Piest, J. , & Bukhsh, F. (2021). A Classification of Process Mining Bottleneck Analysis Techniques for Operational Support. In F. Wijnhoven, & M. van Sinderen (Eds.), Proceedings of the 18th International Conference on e-Business (ICE-B 2021) (pp. 127-135). SCITEPRESS. https://doi.org/10.5220/0010578601270135

Piest, J. P. S., Cutinha, J. A. , Bemthuis, R. H. , & Bukhsh, F. A. (2021). Evaluating the Use of the Open Trip Model for Process Mining: An Informal Conceptual Mapping Study in Logistics. In Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS) (Vol. 1, pp. 290-296). SCITEPRESS. https://doi.org/10.5220/0010477702900296

Piest, J. P. S. , Meertens, L. O., Buis, J. , Iacob, M. E. , & van Sinderen, M. J. (2021). Smarter interoperability based on automatic schema matching and intelligence amplification. In 10th International Conference on Interoperability for Enterprise Systems and Applications, I-ESA 2020: Tarbes, France, November 17-19, 2020 (CEUR Workshop Proceedings; Vol. 2900). CEUR. http://ceur-ws.org/Vol-2900/

Piest, J. P. S. , Iacob, M. E. , & van Sinderen, M. J. (2021). A federated interoperability approach for data driven logistic support in SMEs. In M. Zelm, B. Young, G. Doumeingts, H. Karray, & L. Elmhadbhi (Eds.), 10th International Conference on Interoperability for Enterprise Systems and Applications, I-ESA 2020 (CEUR Workshop Proceedings; Vol. 2900). CEUR. http://ceur-ws.org/Vol-2900/

See all research output of this employee

View my profile

Bachelor

Master

Business Information Technology

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.