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Prof. Dr.-Ing. Ingo Timm

Organizational unit Smart Data & Knowledge Services
Contact +49 631 20575 2800 (Trier) Phone 2: +49 651 201 2859

https://wi1.uni-trier.de
Address (Trier)

Publications

Shortest-Path-Based Resilience Analysis of Urban Road Networks

David Kaub; Christian Lohr; Anelyse Reis David; Monotosch Kumar Das Chandan; Hilal Chanekar; Tung Nguyen; Jan Ole Berndt; Ingo J. Timm

In: Michael Freitag; Aseem Kinra; Herbert Kotzab; Megow Nicole (Hrsg.). Dynamics in Logistics. International Conference on Dynamics in Logistics (LDIC-2024), located at 9th International Conference LDIC 2024, February 14-16, Bremen, Germany, Pages 132-143, Lecture Notes in Logistics (LNL), ISBN 978-3-031-56825-1, Springer, Cham, 4/2024.

To the publication

Can (and should) Automated Surrogate Modelling be used for Simulation Assistance?

Veronika Kurchyna; Jan Ole Berndt; Ingo Timm

In: Multi-Agent-Based Simulation XXIV,. International Workshop on Multi-Agent Systems and Agent-Based Simulation (MABS-2023), located at AAMAS, May 6, London, LNCS, Vol. 14558, ISBN Lecture Notes in Computer Scienc, Springer, 2024.

To the publication

Seeing Through the Smoke: An Agent Architecture for Representing Health Protection Motivation Under Social Pressure

Veronika Kurchyna; Stephanie Rodermund; Ye Eun Bae; Patrick Mertes; Philipp Flügger; Jan Ole Berndt; Ingo Timm

In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART. International Conference on Agents and Artificial Intelligence (ICAART-2024), February 24-26, Rome, Italy, Pages 315-325, ISBN 978-989-758-680-4, SciTePress, 2024.

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All publications

Profile

  • GreenTwin

    Grüner Digitaler Zwilling mit Industrieller Intelligenz für CO2-sparende kooperative Mobilität & Logistik im ländlichen Raum

    The project GreenTwin (Green digital twin with artificial intelligence for CO2-saving cooperative mobility & logistics in rural areas) is dedicated to the development of sustainable regional logistics…

    GreenTwin

  • AScore

    AScore

    Political decisions on measures to contain a pandemic must be made promptly and under great uncertainty. Even though the federal and state governments set the framework, many of the measures must be…

    AScore

  • HealthcAIre

    HealthcAIre

    Ziel dieses Projekts ist es, einen Beitrag zur Schaffung struktureller Grundlagen für den Einsatz Künstlicher Intelligenz in der Medizindomäne zu leisten, so dass Potenziale auch kurzfristig…

  • SEEvacs

    SEEvacs - Simulation-based Evolution and Evaluation of Vaccination Strategies in COVID-19-pandemics

    Im Rahmen des Projekts EpideMSE am Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM) ist eine Simulationsplattform entstanden, die die tagesaktuellen COVID-19-Fallzahlen des RKI…

  • SoSAD

    Social Simulation for Analysis of Infectious Disease Control

    The current COVID 19 pandemic is a major challenge for society and the healthcare system. The behavior of people is very much dependent on their environment (emergence effect), as shown, for example,…