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. , Bemthuis, R. H., Cutinha, J. A., Arachchige, J. J. , & Bukhsh, F. A. (2023). A Method for Bottleneck Detection, Prediction, and Recommendation Using Process Mining Techniques. 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 Nature. https://doi.org/10.1007/978-3-031-36840-0_7

Piest, J. P. S., Masuda, Y., Nakamura, O. , & Karaca, K. (2023). Human-Centred Design Thinking Using the Intelligence Amplification Design Canvas and the Adaptive Integrated Digital Architecture Framework. In Human Centred Intelligent Systems: Proceedings of KES-HCIS 2023 Conference (pp. 153-163). (Smart Innovation, Systems and Technologies; Vol. 359). Springer Nature. https://doi.org/10.1007/978-981-99-3424-9_15

Piest, J. P. S., Masuda, Y., & Nakamura, O. (2023). Healthcare Under Society 5.0: A Systematic Literature Review of Applications and Case Studies. In Innovation in Medicine and Healthcare: Proceedings of 11th KES-InMed 2023 (pp. 77–87). (Smart Innovation, Systems and Technologies; Vol. 357). Springer Nature. https://doi.org/10.1007/978-981-99-3311-2_8

Piest, J. P. S., Slavova, S. , & van Heeswijk, W. J. A. (2023). A Reference Use Case, Data Space Architecture, and Prototype for Smart Truck Parking. 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). [1] (CEUR Workshop Proceedings; Vol. 3388). CEUR. https://ceur-ws.org/Vol-3388/paper1.pdf

Piest, J. P. S. , Iacob, M. E., & Wouterse, M. J. T. (2023). Tutorial: Conceptualizing intelligence amplification in human-centred AI applications using the design canvas. In T. Ahram, & R. Taiar (Eds.), Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial Intelligence and Future Applications (Vol. 70, pp. 129-138). AHFE Conference. https://doi.org/10.54941/ahfe1002937

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

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Bachelor

Master

Business Information Technology

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