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Prof. Dr. Galia Weidl

About me
  1. Position Professor Faculty of Engineering and Computer Science
  2. Faculties
    • Ingenieurwissenschaften und Informatik
  3. Contact
    1. Würzburger Straße 45
      Room C1/04/105
      63743 Aschaffenburg
    2. galia.weidl(at)th-ab.de
    3. + 49 60 21 4206 - 326

Support of doctoral education

Projects

Publications

  • Raiyn, Jamal, Weidl, Galia, 2024. Predicting Autonomous Driving Behavior through Human Factor Considerations in Safety-Critical Events. In: Smart Cities. 7(1), S. 460 — 474. Abstract Fulltext
  • Weidl, Galia, Berres, Stefan, Madsen, Anders L., Daxenberger, Johannes, Aulbach, Anegret, 2024. Exploring Argument Mining and Bayesian Networks for Assessing Topics for City Project Proposals. S. 438 — 451. Abstract Fulltext
  • Madsen, Anders L., Weidl, Galia, 2024. Bayes’sche Netze als Methode zur Implementierung transparenter, erklärbarer und vertrauenswürdiger Künstlicher Intelligenz. In: Vertrauen in Künstliche Intelligenz - Eine multi-perspektivische Betrachtung Springer Verlag. S. 139 — 162. Abstract Fulltext
  • Raiyn, Jamal, Chaar, Mohamad Mofeed, Weidl, Galia, 2024. Analysis of Driving Behavior in Adverse Weather Conditions. Abstract Fulltext
  • Chaar, Mohamad Mofeed, Raiyn, Jamal, Weidl, Galia, 2024. Improving the Perception of Objects under Foggy Conditions in the Surrounding Environment. Abstract
  • Raiyn, Jamal, Weidl, Galia, 2024. Assessing Inattentiveness and Human Elements in Critical Driving Safety Events. Abstract Fulltext
  • Talluri, Kranthi Kumar, Weidl, Galia, 2024. Impact of Accidents on Traffic Congestions: A Bayesian Network Approach Using Real City Data. In: Advances in Transdisciplinary Engineering IOS Press. S. 64 — 78. ISBN 9781643685601. Abstract
  • Raiyn, Jamal, Weidl, Galia, 2023. Improving Autonomous Vehicle Reasoning with Non-Monotonic Logic: Advancing Safety and Performance in Complex Environments. Fulltext
  • Valencia, Yeimy, Normann, Marc, Sapsai, Iryna, Abke, Jörg, Madsen, Anders L., Weidl, Galia, 2023. Learning Style Classification by Using Bayesian Networks Based on the Index of Learning Style. S. 73 — 82.
  • Weidl, Galia, Raiyn, Jamal, Berres, Stefan, 2023. Does a livable city profit from a shared CCAM Shuttle Bus on demand? Abstract Fulltext