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Prof. Dr. Andreas Berl

Dean

  • Dean of the Faculty of Applied Computer Science
  • Course coordinator for the Artificial Intelligence and Data Science master’s course
  • Member of the Examination Committee Applied Computer Science / Interactive Systems / Cyber Security, Life Science Informatics
  • Academic advisor for the Applied Computer Science bachelor's degree


consulting time

Consultation hour by appointment per mail


Sortierung:

labs

Deep Learning AI lab (Deggs)


core competencies

  • Electromobility and fleet management
  • Virtualisation and energy efficiency
  • Smart Grid


Forschungs- und Lehrgebiete

Projekts

  • SmiLE - Smartes und integriertes Laden von Elektrofahrzeugen auf Firmenparkplätzen https://zaf.th-deg.de/public/project/183 Bayerische Forschungsstiftung 05/2020 - 04/2023 (3 years)
  • MAID - “Master Artificial Intelligence and Data Science” https://zaf.th-deg.de/public/project/114 EU, INTERREG 03/2019 - 12/2022 (3.75 years)
  • CITRAM - “Citizen Science for Traffic Management” https://zaf.th-deg.de/public/project/101 BMVI - mFund 09/2018 - 10.2023 (3 years)
  • SMART-vhb - “Java Programming” Virtuelle Hochschule Bayern https://smart.vhb.org 09/2019 - 10/2022 (3 years)
  • Smart Grid - “Smart Grid-Technologien für ländliche Gebiete und KMUs” http://www.smartgrid.science EU, INTERREG 04/2017 - 03/2020 (3 years)
  • WVDI - “Workstation-based virtual desktop infrastructure” https://zaf.th-deg.de/public/project/54 Sonderforschungsprojekt der THD 01/2017 - 12/2018 (2 years)
  • Electrific - “Enabling seamless electromobility through smart vehicle-grid integration” https://www.electrific.eu EU, Horizon 2020 09/2016 - 08/2019 (3 years)

Teaching

  • Foundations of computer science
  • Introduction to programming (in C)
  • Programming 1 (in Java)
  • Programming 2 (in Java)
  • Architectures for networked software systems
  • Network technology and IT networks
  • Project management


Vita

  • 2019 - 2022 Dean of the Faculty of Applied Computer Science
  • since 2021 Course coordinator for the Artificial Intelligence and Data Science master’s course
  • since 2019 Member of the examination committee of the department Applied Informatics / Infotronik.
  • 2019 - 2022 Member of the Faculty Council of the Faculty of Applied Computer Science
  • since 2019 Change to the department „Applied Informatics / Infotronik“.
  • 2018 - 2022 Research professorship, combined with a reduction in teaching to 9 SWS.
  • 2015 - 2019 Member of the examination committee of the department Electrical Engineering, Media Technology, and Computer Science.
  • since 2015 Course Consultant of Applied Informatics / Infotronik.
  • since 2015: Professor for “Grundlagen der Informatik (Principles of computer science)” at the Deggendorf Institute of Technology, department of Electrical Engineering, Media Technology, and Computer Science.
  • 2005-2015: Research, teaching and project work in national and international research projects at the department of computer networks and computer communications, University of Passau.
  • 2011: PhD at the University of Passau, topic: „Energy Efficiency in Office Computing Environments“. Awarded with „Wissenschaftspreis der Universität Passau 2012“.
  • 2009: Guest scientist at the Computing Department, Lancaster University, GB.
  • 2000-2005: Studies of computer science and psychology, University of Passau.