Stefano Gioia

Persönliches Profil

Tätigkeit an der ZHAW

PhD at the Institute of Data Analysis and Process Design (IDP) and ETH Zurich 

Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse

Mathematical Optimization, Operations Research, Automatic Control, Process Planning and Scheduling, Transportation Science, Networks, Decentralized and Distributed Artificial Intelligence, Energy, IoT, Human–Computer Interaction

Aus- und Fortbildung

MSc ETH Zurich, Design of novel Data-Driven and Decentralized Frameworks for MAS
BSc Politecnico di Torino, Young Talent Award

Beruflicher Werdegang

Advanced Control Concepts and Software Development Team, CNH Industrial Switzerland

Publikationen

• Gioia, Stefano; Bütikofer, Stephan; Wüst, Reimond Matthias,

  2022.

  Generating timetables for a multi-linetype public transport offer based on a service intention including travel chains of customers [Paper].

  In:

  22nd Swiss Transport Research Conference (STRC), Ascona, Switzerland, 18-20 May 2022.

  Institute for Transport Planning and Systems, ETH Zurich.

  S. 18.

  Verfügbar unter: https://www.strc.ch/2022/Gioia_EtAl.pdf

• Gioia, Stefano; De Martinis, Valerio; Bütikofer, Stephan; Wüst, Reimond Matthias,

  2021.

  Evaluation of the delay management potential on a macroscopic level [Paper].

  In:

  de Doncker, Rik W.; Nießen, Nils; Friesen, Nadine; Schindler, Christian, Hrsg.,

  IRSA 2021 : Tagungsband.

  3rd International Railway Symposium Aachen (IRSA), Aachen, Germany, 21-23 November 2021.

  Aachen:

  RWTH Aachen University.

  S. 165-180.

  Verfügbar unter: https://doi.org/10.18154/RWTH-2022-01700

Weitere Beiträge

Innovation is made of ideas and people. Feel free to contact me!

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