Phillip Gachnang

Tätigkeiten an der FHNW

Wissenschaftlicher Mitarbeiter im Kompetenzschwerpunkt Systems Engineering

2023 Wissenschaftlicher Mitarbeiter am Institut für Wirtschaftsinformatik im Kompetenzschwerpunkt Systems Engineering
2022 MSc in Wirtschaftsinformatik an der Fachhochschule Nordwestschweiz (FHNW)
2022 MSc in Informatik an der Universität von Camerino
2019 Wissenschaftlicher Assistent am Institut für Wirtschaftsinformatik im Kompetenzschwerpunkt Systems Engineering
2018 BSc in Wirtschaftsinformatik an der Fachhochschule Nordwestschweiz (FHNW)
2005 Eidgenössisches Fähigkeitszeugnis als Applikationsentwickler an der Minerva Zürich

Nur peer-reviewed

Keine peer-reviewed Inhalte verfügbar
Peer-reviewed

Gachnang, P., Ehrenthal, J., Telesko, R., & Hanne, T. (2023). Determination of weights for multiobjective combinatorial optimization in incident management with an evolutionary algorithm. IEEE Access, 11, 138502–138514. https://doi.org/10.1109/ACCESS.2023.3339128
Gatziu Grivas, S., Imhof, D., & Gachnang, P. (2023). Position paper - Hybrid artificial intelligence for realizing a leadership assistant for platform-based leadership consulting. In P. Soffer & M. Ruiz (Eds.), Advanced information systems engineering workshops: CAiSE 2023 international workshops, Zaragoza, Spain, June 12-16, 2023, proceedings (pp. 36–42). Springer. https://doi.org/10.1007/978-3-031-34985-0_4
Ehrenthal, J., Hanne, T., Telesko, R., & Gachnang, P. (2023). Echtzeit Ressourcendisposition von Personal und Rollmaterial in der Eisenbahnbranche. Innosuisse. https://irf.fhnw.ch/handle/11654/43337
Peer-reviewed

Kech, B., Schneider, B., Gachnang, P., & Azan, W. (2022). Challenges, opportunities and application fields of quantum computing - an introductory overview. 27ème conférence de l’Association Information et Management (AIM 2022). https://irf.fhnw.ch/handle/11654/46196
Peer-reviewed

Hanne, T., Gachnang, P., Gatziu Grivas, S., Kirecci, I., & Schmitter, P. (2022). Artificial intelligence and machine learning for maturity evaluation and model validation. ICEME 2022. The 2022 13th International Conference on E-Business, Management and Economics (ICEME 2022). Beijing, China (Vurtual Conference), July 16-18, 2022, 256–260. https://doi.org/10.1145/3556089.3556102
Gachnang, P., Ehrenthal, J., Hanne, T., & Dornberger, R. (2022). Quantum computing in supply chain management state of the art and research directions. Asian Journal of Logistics Management, 1(1), 57–73. https://doi.org/10.14710/ajlm.2022.14325
Peer-reviewed

Pustulka, E., Hanne, T., Gachnang, P., & Biafora, P. (2021). FLIE: form labeling for information extraction. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Proceedings of the Future Technologies Conference (FTC) 2020 (Vol. 2, pp. 550–567). https://doi.org/10.1007/978-3-030-63089-8_35
Peer-reviewed

Telesko, R., Jüngling, S., & Gachnang, P. (2020). Combining symbolic and sub-symbolic AI in the context of education and learning. In A. Martin, K. Hinkelmann, H.-G. Fill, A. Gerber, D. Lenat, R. Stolle, & F. van Harmelen (Eds.), Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020) (Vol. 1). https://doi.org/10.26041/fhnw-6675

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Phillip Gachnang

Phillip Gachnang

Tätigkeiten an der FHNW

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