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Prof. Dr. Andreas Berl


  • 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
  • Member of the Faculty Council of the Faculty of Applied Computer Science
  • Academic advisor for the Applied Computer Science bachelor's degree

ITC2 2.43


consulting time

Consultation hour by appointment per mail

Beitrag (Sammelband oder Tagungsband)

  • Nicki Bodenschatz
  • Markus Eider
  • Andreas Berl

Challenges and requirements of electric vehicle fleet charging at company parking sites

pg. 623-628.

  • (2021)

DOI: 10.1109/ACIT52158.2021.9548563

The uprising number of electric vehicles on company parking sites creates a variety of challenges, in terms of scheduling charging processes. In uncoordinated charging, peaks loads can occur that harm the low voltage grid and make the company pay a higher electricity bill. Further, some vehicles may not be charged enough to be used for service appointments at customer homes. In a first step, this paper highlights the individual problems in detail that can appear in a company parking scenario. Next, it is shown that charging scheduling in a company case is not trivial. Finally, requirements to a software-based solution of the challenges are derived from the individual problems.
  • Angewandte Informatik

  • Christina Sigl
  • Alexander Faschingbauer
  • Andreas Berl

Management of Virtual Desktops in Energy Efficient Office Environments Using Thin Clients

In: Ninth International Conference on Cloud Computing, GRIDs, and Virtualization (CLOUD COMPUTING 2018), colocated with ComputationWorld 2018

Barcelona, Spanien

  • 18.-22.02.2018 (2018)
  • TC Freyung
  • Elektrotechnik und Medientechnik

  • Andreas Berl
  • M. Niedermeier
  • Andreas Fischer
  • D. Hutchinson
  • H. Meer

Virtual Energy Information Network: A Resilience Perspective

In: e&i Elektrotechnik & Informationstechnik (Special Issue on ’Smart Grid and Security’) vol. 130 pg. 121-126.

  • (2013)

Increasing demand in energy consumption, missed modernisations, and the increasing difficulties in predicting power production due to volatile renewable energy sources (e.g., based on wind or sun) impose major challenges to the power grid. Power supply and power demand are closely interconnected with the need to maintain the power grid in a stable state with a sufficient quality of power. This requires energy-relevant information to be exchanged through the so called Energy Information Network. Communication, however, is challenging within the Energy Information Network due to privacy, security, resiliency, and quality-of-service requirements. Particularly, the resilience of communication within the Energy Information Network needs to be considered to maintain the power grid in a stable and controlled state. This paper suggests a Virtualised Energy Information Network (VEIN), where the Energy Information Network is divided into multiple virtual networks that run over a common substrate network. Furthermore, this paper discusses benefits of this approach in terms of privacy, security, and resilience and points out open research questions.
  • Elektrotechnik und Medientechnik


SmiLE, MAID and SMART-VHB, see below


Deep Learning AI lab (THD, under Construction), Smart Grid lab (TC Freyung), WVDI lab (TC Freyung), Home Entertainment and Connectivity lab (THD)

core competencies

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


  • 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.
  • since 2019 Member of the Faculty Council of the Faculty of Applied Computer Science
  • since 2019 Change to the department „Applied Informatics / Infotronik“.
  • since 2018 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.



Currently running projects

  • 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 - 07/2022 (3.5 years)
  • SMART-vhb - “Java Programming” Virtuelle Hochschule Bayern https://smart.vhb.org 09/2020 - 10/2021 (1 year)

Completed projects

  • CITRAM - “Citizen Science for Traffic Management” https://zaf.th-deg.de/public/project/101 BMVI - mFund 09/2018 - 11.2020 (2 years)
  • SMART-vhb - “Java Programming” Virtuelle Hochschule Bayern https://smart.vhb.org 09/2019 - 08/2020 (1 year)
  • 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)


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