Teaching areas

• Cybersecurity
• Internet of Things (IoT)
• Programming
• Basics of computer science

courses in ELO

• Computer Networks
• Computer Architektur
• Grundlagen der Informatik 2
• Informationssicherheit und Compliance
• IoT Security
• Programming 1 
• Technical Fundamentals of Informatics

Theses

• Hands-on Learning Platform Cybersecurity (IoT)
• Security investigations of IoT devices
• Current topics

Research interests

• Cybersecurity
• Internet of Things (IoT)
• IT Forensics
• Standards and guidelines

https://orcid.org/0000-0003-3147-9125

internal functions

• ICS Academic Advisor
• Member of the Examination Board ICS

• Certificate in University Teaching Bavaria (2020)
• Funding Award for Innovation and Quality in Teaching: "Learning Level Reflection through Automated Online Tests" (2022)
• SMART vhb grant: "Understanding and using C/C++ compilers, linkers, editors and IDEs" (2022)

Die Klausureinsicht für das Wintersemester findet an folgenden Terminen statt

• am 27.03. ab 15:15
• am 2.4. ab 15:30

jeweils im Grafiklabor, first come, first served :)

• Fortgeschrittene Computergrafik (Ray Tracing & Globale Beleuchtung), MIN
• Programmierpraktikum, IN
• Programmieren 1 in C, KI/DS
• Funktionale und Meta Programmierung, FWPM

Teaching areas

• Quantitative methods in operational production planning and control
• Business informatics

Lectures:

• Current Lectures:
• Production Planning and Control
• Advanced Production Planning
• Previous lectures: see here

Final theses

202420232022202120202019201820172016201520142013201220112010200920082007200620052004

Research interests

For operational production planning and control:

• Quantitative methods.
• (Stochastic) optimisation (models and solution methods).
• Simulation.
• Case studies.

Laboratory(s)

• LIP
• Innovation Center for Production Logistics and Factory Planning (IPF)
• Competence Center for Software Engineering (CC-SE)

• Books
• Publications
• Memberships

• Focus:
  • The main areas of projects and experience can be summarised by IT in logistics. The focus here is on planning problems and inventory management. On the one hand, the decision problems for production planning and control and, on the other, the logistics processes (i.e. warehousing and transport through to supply chain management) are considered. Suitable algorithms for this are offered in today's Enterprise Resource Planning Systems (ERP systems), whose behaviour is controlled by parameters. It is well known that the quality of the business processes controlled by ERP systems depends on these algorithms and, above all, on the parameter settings. I am therefore working on the further development of existing algorithms and the optimisation of parameter settings.
  • As standard software is increasingly being used to control business processes, my application-oriented research takes into account the state of the art of standard software with regard to its technology and, above all, the business processes it can support. In any case, an application-orientated approach should also focus on the use of such systems. This leads to the consideration of operational issues as well as the selection and introduction of standard software.
  • Data processing systems are used in companies to provide information technology support for business processes. A consideration of IT in logistics is incomplete without taking the corresponding business processes into account. That is why the consideration of business process analysis, design and optimisation rounds off my main areas of work.
  • Processing of research projects within the framework of co-operative PhDs.
• IT for companies

• Fields of teaching:
  • Artificial Intelligence for Infrastructure and Urban Development
  • Operations Research / Optimisation
• Lectures on ELO:
  • Operations Research
  • Applied AI and Data Science for Sustainable Infrastructure and Urban Development
• Final theses:
  The theses explore methods of artificial intelligence in the application areas of transport and mobility of the future, energy, infrastructure and urban development.
  You can find advertised topics and further information on ELO.
  Please contact by e-mail.

• Research interests:
  The Artificial Intelligence for Infrastructure and Urban Development research area investigates how Mathematical algorithms and machine learning methods can be used together with new data sources to optimise infrastructures in the areas of transport, future mobility and energy, as well as for sustainable urban development. Innovative methods are being developed to better understand, plan and manage infrastructures and cities. The focus here is on
  • Data analysis, fusion and extrapolation
  • Planning, expansion and optimisation
  • State prediction
  • Pattern, damage and deficit recognition
  • Dynamic control and proactive utilisation and usage management
• Research centre: Regensburg Center for Artificial Intelligence (RCAI)

• Promotion:
  • 2015: Degree as Dr.-Ing., Department of Transport Engineering (Civil Engineering), University of the Federal Armed Forces Munich
• Studium:
  • 2006 – 2011: Degree in Mathematics at the Technical University of Munich and Aarhus University (Denmark)
    Minor subjects: Computer Science, Economics
    Specialisations: Optimisation, Numerics
  • 2011: Degree in mathematics
• Professional experience:
  • 2023 – today: Research Professor for AI for Infrastructure and Urban Development, OTH Regensburg
  • 2023 – 2024: Parental leave
  • 2021 – 2023: Postdoctoral researcher and research group leader in traffic engineering, TU Munich
  • 2015 – 2021: Technical project manager in the field of data analytics and software development for on-demand mobility services, BMW Group, Munich
  • 2012 – 2015: Research assistant / doctoral candidate in traffic engineering, University of the Federal Armed Forces Munich
• External memberships:
  • Verein der Freunde der OTH Regensburg
  • Vereinigung der Straßenbau- und Verkehrsingenieure in Bayern e. V.

• see Google Scholar or Research Gate

• 2024: D. Grant Mickle Award, “Outstanding paper Transportation Research Board 2023 in the field of Operation and Maintenance”
• 2016: Research Prize of the University of the Federal Armed Forces Munich
• 2013: Mobil.tum Best Paper Award

Fields of teaching

• Probability theory
• Statistics
• Linear algebra
• Calculus
• Differential geometry

Lectures on ELO

• Probability theory and statistics 1 & 2
• Statistical methods
• Linear algebra 1 & 2
• Calculus 1 &2
• Differential geometry
• Mathematics 1 & 2

Research interests

• Probability theory
• Statistics
• Multilinear algebra
• Differential geometry
• Theoretical physics
• Astronomy

Academic Studies

• Study of mathematics and physics (minor subject) at the Saarland University

Graduation

• Graduation at the University of Erlangen-Nuremberg

Occupational experience

• Scientific assistant at the computer centre of the Saarland University
• Scientific assistant at the University of Erlangen-Nuremberg
• Biostatistician at the department of clinical research at Hoechst AG, Frankfurt/Main
• Professor of mathematics (with main emphasis on statistics) at OTH Regensburg

• Numerous publications in the field of medical statistics

• Consultant for the selection committee at the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes e. V.)
• Consultant and mentor for the Max-Weber-programme
• Member of the Elite Network Bavaria