To the OTH Regensburg website
Persons

Prof. Dr. Felix Schwägerl

List of persons

Chair of the exam board International Computer Science

Global Software Engineering

Persons

Prof. Dr. Sebastian Fischer

List of persons

Member of the Examination Board

Computer Science and System Security

Teaching

Teaching areas

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

courses in ELO

Theses

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

Research

Research interests

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

Publications

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

Career

internal functions

  • ICS Academic Advisor
  • Member of the Examination Board ICS

Prizes, certificates, patents

  • 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)
Persons

Prof. Dr. Martin Weiß

List of persons

Associate Dean

Vice Dean

Professor for Numerical mathematics

Persons

Prof. Dr. Markus Westner

List of persons

Business Administration, Consulting, Project Management, Strategic IT Management, Research Methods

Dean of Studies / International Coordinator

Beauftragter für internationale Studiengangsentwicklung

Persons

Prof. Dr. Stefan Körkel

List of persons

Professor for Mathematics

Applied Mathematics with focus on Optimization

Persons

Prof. Dr. Frank Herrmann

List of persons

Professor Dr. Frank Herrmann was born in Münster, Germany, and studied computer science and mathematics at RWTH Aachen University, where he received a diploma in computer science in 1989. During his time at the Fraunhofer Institut IITB in Karlsruhe, he received his PhD in 1996 on resource planning problems. From 1996 to 2003 he worked at SAP AG in various positions, most recently as director. In 2003 he became professor of production logistics at the Ostbayerische Technische Hochschule Regensburg. He researches algorithms and optimisation models for operational production planning and control.

He has been dean of the faculty since October 2022.

Dean

Professor for Production Planning and Control

Teaching

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

Research interests

For operational production planning and control:

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

Laboratory(s)

Publications/Lectures/Memberships

Competences

  • 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
Persons

Michael Hafner

List of persons

Lehrbeauftragter

Persons

Dipl.-Math., M.Comp.Sc. Beate Mielke

List of persons

Lecturer

Lecturer

Persons

Claudia Durchholz

List of persons

Secretary

Secretariat

Persons

MBA Gillian Schimming

List of persons

Faculty Assistant

Faculty Advisor

Persons

Prof. Dr. Simone Weikl

List of persons

AI for Infrastructure and Urban Development

Teaching

Research

  • 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: Research Center for Artificial Intelligence (RCAI)

Career

  • 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.

Publications/Lectures

Awards

  • 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
Persons

Prof. Dr. Peter Maria Wirtz

List of persons

Mathematics with focus on statistics

Teaching

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

Research interests

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

Career Path

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

Publication list

  • Numerous publications in the field of medical statistics

Activities in specialist organizations

  • 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
Persons

Prof. Dr.-Ing. Sebastian Stadler

List of persons

User Experience für digitale Produkte und ⠀ Virtual Reality

Abschlussarbeiten

Studierende, die Interesse an einer Betreuung ihrer Abschlussarbeit durch mich haben, tragen sich bitte zunächst in meinen ELO-Kurs "Informationen und Sprechstunde Prof. Stadler" ein. Dort finden Sie alle wichtigen Informationen zu Ablauf, Voraussetzungen und Anforderungen.

Bitte lesen Sie diese Informationen sorgfältig durch, bevor Sie sich für einen Termin in meiner Sprechstunde anmelden.

Link zum ELO-Kurs: https://elearning.oth-regensburg.de/course/view.php?id=6134

 

Persons

Prof. Dr. Filippo Riccio

List of persons

Head of Lab Imaging and Data Science
Program Advisor for M.Sc. Mathematics for Business and Industry
Member of Research Center for Artificial Intelligence
Member of Society for Industrial and Applied Mathematics

Applied Mathematics

Persons

Prof. Dr. Ahmet Kara

List of persons

ICS Academic Advisor

ICS Academic Advisor

Persons

Prof. Dr. Titus Dose

List of persons

Industrial Placement Coordinator ICS
Member of the Examination Board ICS

Theoretical Computer Science

Persons

Prof. Dr. Stephan Scheele

List of persons

Theoretical Computer Science and Artificial Intelligence

Persons

Ana Mendez de Vigo

List of persons

Employee for internationalization

Employee for internationalization

Persons

Nele Hansen

List of persons

Contact International Degree-Seeking Students IM

Program Coordinator BSc International Computer Science

Persons

Prof. Dr. Anja Schmiedt

List of persons

Mathematics (Statistics, Actuarial Science)

Teaching

    • Applied Mathematics
    • Statistics
    • Actuarial Science

     


    • https://elearning.oth-regensburg.de/course/index.php?categoryid=2632

       

      • Project Module, M.Sc. Mathematik, M.Sc. Mathematics for Business and Industry, continuously every semester 
      • Statistik, B.Sc. Wirtschaftsinformatik, SS 2026, WS 2025/26, SS 2025
      • Ingenieurmathematik 2, B.Eng. Maschinenbau, SS 2026
      • Statistical Learning in Actuarial Science (in English), M.Sc. Mathematik, M.Sc. Mathematics for Business and Industry, WS 2025/26, WS 2024/25 
      • Risk Theory (in English), M.Sc. Mathematik, M.Sc. Mathematics for Business and Industry, SS 2025
      • Versicherungsmathematik 1, B.Sc. Mathematik, SS 2025
      • Versicherungsmathematik 2, B.Sc. Mathematik, WS 2024/25

    • PROJECT TITLE: USING GAMEFUL MOTIVATION TO SHAPE THE USE OF GENERATIVE ARTIFICIAL INTELLIGENCE IN MATHEMATICS COURSES

      (English translation)

      • Program: Second round of the program “Teaching Lab to the Power of 3 – Team-based Development of Teaching in Higher Education” organized by the Research and Innovation Lab for Digital Teaching, funded by the Bavarian State Ministry of Science and the Arts and the Bavarian Industry Association as part of the “NewNormal” program (individual application)
      • Project period: March 2024 to October 2024 (completed)

      PROJECT TITLE: GAMIFICATION MEETS HYBRID TEACHING

      (English translation)

      • Program: Program for the promotion of teaching projects at Rosenheim Technical University of Applied Sciences, funded by the Foundation Innovation in Higher Education (individual application)
      • Project period: March 2023 to September 2023 (completed)

    Research

      • Mathematical statistics
      • Extreme value and record statistics
      • Statistical and machine learning
      • Statistical models of ordered data
      • Applied statistics

      • Head of the Laboratory for Statistics and Actuarial Science

      • Member of the Doctoral Research Center for Applied Computer Science and Mathematics (PZAI)
      • Member of the Research Center for Artificial Intelligence (RCAI)

    • Project title: Extreme Events in Non-Life Insurance: Modeling and Prediction of Highest Claims Based on Record Statistics (acronym: EMPHasis)

      • Funding body: Bavarian State Ministry of Science and the Arts (7th funding round of the Program for the Promotion of Applied Research and Development at Universities of Applied Sciences and Technical Universities) (individual application)
      • Project period: January 2024 to December 2026
      • Cooperative doctoral program with the Chair of Statistics at RWTH Aachen University

    Publications, presentations and digital media

    • Scientific Papers

      • Schmiedt, A.B., & Cramer, E. (2025+). Adaptive progressive Type-II censoring with random sample size. (Under review.)
      • Balakrishnan, N., & Schmiedt, A.B. (2026). Improved imputation-type bounds for means of record values for general and symmetric distributions. Mathematical Methods of Statistics, to appear.
      • Schmiedt, A.B., Balakrishnan, N., & Cramer, E. (2026). Generalized chi-squared based goodness-of-fit tests under progressive Type-II censoring for exponential and Weibull distributions. Communications in Statistics - Simulation and Computation, 1–29. https://doi.org/10.1080/03610918.2026.2625230
      • Bedbur, S., Kamps, U., & Schmiedt, A.B. (2026). A flexible model of ordered random variables for non-metallic inclusions in steels and related statistical inference. Applied Mathematical Modelling, 149, 116284. https://doi.org/10.1016/j.apm.2025.116284  
      • Schmiedt, A.B., Empacher, C., & Kamps, U. (2025). One- and two-sided prediction intervals for future Pareto record values with applications. Journal of Statistical Theory and Applications, 24, 489-514.http://doi.org/10.1007/s44199-025-00119-w
      • Empacher, C., Kamps, U., & Schmiedt, A.B. (2025). Prediction intervals for future Pareto record claims. European Actuarial Journal, 15, 163-197. http://doi.org/10.1007/s13385-024-00397-1
      • Schmiedt, A.B., & Weiss, C. (2024). The pair correlation function of multi-dimensional low-discrepancy sequences with small stochastic error terms. Journal of Number Theory, 259, 422-437. https://doi.org/10.1016/j.jnt.2023.12.011
      • Schmiedt, A.B., & Cramer, E. (2024). Generalized Ng-Kundu-Chan model of adaptive progressive Type-II censoring and related inference. Naval Research Logistics, 71(3), 389-415. https://doi.org/10.1002/nav.22152
      • Schmiedt, A.B. (2016). Domains of attraction of asymptotic distributions of extreme generalized order statistics. Communications in Statistics – Theory and Methods, 45(7), 2089-2104. https://doi.org/10.1080/03610926.2013.870206
      • Schmiedt, A.B., Dickert, H.H., Bleck, W., & Kamps, U. (2015). Evaluation of maximum non-metallic inclusion sizes in engineering steels by fitting a generalized extreme value distribution based on vectors of largest observations. Acta Materialia, 95, 1-9. https://doi.org/10.1016/j.actamat.2015.05.013
      • Schmiedt, A.B., Dickert, H.H., Bleck, W., & Kamps, U. (2014). Multivariate extreme value analysis and its relevance in a metallographical application. Journal of Applied Statistics, 41(3), 582-595. https://doi.org/10.1080/02664763.2013.845872
      • Cramer, E., & Schmiedt, A.B. (2011). Progressively Type-II censored competing risks data from Lomax distributions. Computational Statistics & Data Analysis, 55(3), 1285-1303. https://doi.org/10.1016/j.csda.2010.09.017
      •  

      Didactic Papers

      • Schmiedt, A.B., Sussmann, M., & Klemcke, J. (2025). Generative Künstliche Intelligenz und Mathematik in der Hochschullehre – Ein Rendezvous zwischen Euphorie und Skepsis. In: B. Zinger, A.M. Wester, & T. Bröker (Hrsg.), Hochschulbildung und Spiel (S. 269-284). transcriptVerlag, Bielefeld. https://www.transcript-verlag.de/978-3-8376-7374-6/
      • Neumaier, S., & Schmiedt, A.B. (2025). Über die strukturierte Entwicklung digitaler Lehr- und Lernformate mit EMPAMOS – Erkenntnisse aus einem Lehrprojekt. In: B. Zinger, A.M. Wester, & T. Bröker (Hrsg.), Hochschulbildung und Spiel (S. 121-136). transcriptVerlag, Bielefeld. https://www.transcript-verlag.de/978-3-8376-7374-6/
      • Schmiedt, A.B., & Neumaier, S. (2023). Gamification trifft Hybride Lehre: Über ein Lehrprojekt in der mathematischen Statistik. In: H. Dölling, C. Schäfle, S. Kürsten, M. Hunger, J. Hirtt, & P. Riegler (Hrsg.), Tagungsband zum 5. Symposium zur Hochschullehre in den MINT-Fächern (S. 159-166). BayZiel, München. https://doi.org/10.57825/repo_in-4435

      Applied Research Papers

      • Schmiedt, A.B. (2025). Editorial. In: Deutsche Aktuarvereinigung e.V. (Hrsg.), DAV Journal, 01/25 (S. 333). W. Kohlhammer Druckerei GmbH + Co. KG, Stuttgart. ISSN 0948-7794
      • Schmiedt, A.B., & Hüttemann, M. (2024). eXplainable Artificial Intelligence – eine Diskussion und Techniken für Aktuarinnen und Aktuare. In: Deutsche Aktuarvereinigung e.V. (Hrsg.), DAV Journal, 04/24 (S. 273-279). W. Kohlhammer Druckerei GmbH + Co. KG, Stuttgart. ISSN 0948-7794
      • Schmiedt, A.B., & Meyerthole, A. (2019). Rechnen mit Feuer in Zeiten von Big Data. Zeitschrift für Versicherungswesen, 10/2019, 311-312.
      • Schmiedt, A.B., & Meyerthole, A. (2019). Feuerkumule in der Sachversicherung klug berechnen: Innovativer Algorithmus für die Bestimmungen unter Solvency II. s+s report, 2/2019, 14-15.
      • Berg, T., & Schmiedt, A.B. (2018). Die Gretchenfrage der Rückversicherung. Zeitschrift für Versicherungswesen, 21/2018, 629-631.
      • Schmiedt, A.B. (2016). Long Term Care: how does the survival behavior of claimants differ. Gen Re Risk Insights, No. 3/2016, 1-5.
      • Schmiedt, A.B. (2016). How to handle with care data on disabled lives mortality: a statistical approach. Gen Re Insurance Issues Life/Health, February 2016, 1-28.

      Qualification Papers

      • Schmiedt, A.B. (2013). Statistical Modeling of Non-Metallic Inclusions in Steels and Extreme Value Analysis. Dissertation, RWTH Aachen. https://publications.rwth-aachen.de/record/229492
      • Schmiedt, A.B. (2010). Optimale Zensierschemata in der progressiven Typ-II Zensierung unter Berücksichtigung von Competing Risks. Diplomarbeit, RWTH Aachen.

    • Scientific Presentations (dating back to 2023)

      • 'Adaptive experimental designs in progressively censored life tests and related inference', International Conference on Frontiers in Probability and Statistics: Celebrating the Distinguished Contributions of N. Balakrishnan on His 70th Birthday, Xuzhou, China, 11.-13.06.2026, eingeladener Vortrag von Prof. Dr. E. Cramer (RWTH Aachen).
      • 'Learning from imbalanced data: informative subsampling for rare event prediction', 2nd AI Day, Regensburg Center for Artificial Intelligence, OTH Regensburg, 22.04.2026.
      • 'Learning from the few: predicting rare events in large-scale actuarial data', 1st ASTIN Bulletin Conference, ETH Zurich, Switzerland, 14.-16.01.2026.
      • 'Generalized chi-squared based goodness-of-fit tests under progressive Type-II censoring', McMaster University, Hamilton, Ontario, Kanada, 19.09.2025, eingeladener Vortrag von Prof. N. Balakrishnan (Department of Mathematics and Statistics).
      • 'Ordering of random variables via truncation of distributions – application, model, and inference', McMaster University, Hamilton, Ontario, Kanada, 18.09.2025, eingeladener Vortrag von Prof. N. Balakrishnan (Department of Mathematics and Statistics).
      • 'Goodness-of-fit tests for exponential and Weibull distributions in progressively Type-II censored data', Statistische Woche 2025, Statistisches Bundesamt, Wiesbaden, 02.-05.09.2025.
      • ‘Ordered non-metallic inclusion sizes in steels: model and inference’, 16th International Conference on Order in Statistical Data: Order Statistics and Beyond, RWTH Aachen, 10.-13.06.2025.
      • ‘Interval prediction of record values with applications’, 7th Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik, Humboldt-Universität zu Berlin, 24.-28.03.2025.
      • 'Prognose von extremen Schadenhöhen mit Rekordstatistiken: Statistische Modellierung, Methoden und Anwendungen‘, Herbsttagung der Deutschen Aktuarvereinigung e.V. und der Deutschen Gesellschaft für Versicherungs- und Finanzmathematik e.V., Mannheim, 18.-19.11.2024.
      • ‘Adaptive progressive Type-II censoring in life tests and related inference’, Statistische Woche 2024, Ostbayerische Technische Hochschule Regensburg, 10.-13.09.2024.
      • ‘Prediction intervals for future Pareto record values with applications in insurance’, 15th International Conference on Ordered Statistical Data, Universität Coimbra, Portugal, 11.-14.06.2024.
      • ‘Modeling and prediction of future record claims’, Statistische Woche 2023, Technische Universität Dortmund, 11.-14.09.2023.
      • ‘Generalized Ng-Kundu-Chan model of adaptive progressive Type-II censoring and related inference’, 12th International Conference on Mathematical Methods in Reliability, Universität Murcia, Spanien, 29.05.-02.06.2023, eingeladener Vortrag in der Sektion ‘Statistical inference for ordered and censored lifetime data’ von Prof. Dr. E. Cramer (RWTH Aachen).

      Applied research / didactic Presentations (selection, dating back to 2023)

      • ‚Rekorde und ihre Herausforderungen: Über die (statistische) Prognose extremer Naturkatastrophenschäden‘, Ringvorlesung Interdisziplinäre Facetten der Nachhaltigkeit, OTH Regensburg, 17.12.2025.
      • ‚Einsatz von Künstlicher Intelligenz im Finanzdienstleistungsbereich‘, Bundesanstalt für Finanzdienstleistungsaufsicht, Frankfurt, 13.11.2024, eingeladener Vortrag.
      • ‚Erklärbare Künstliche Intelligenz: Eine Diskussion für Aktuarinnen und Aktuare‘, Herbsttagung der Deutschen Aktuarvereinigung e.V. und der Deutschen Gesellschaft für Versicherungs- und Finanzmathematik e.V., Hannover, 20.-21.11.2023, gemeinsam mit Dr. S. Hatzesberger (Allianz Private Krankenversicherungs-AG) und Dr. B. Müller (HDI AG).
      • ‚Spielend motivieren und gestalten: Mathematikunterricht im Labor für hybride Gruppenarbeiten‘, Snacks aus der Lehre, Technische Hochschule Rosenheim, 24.10.2023.
      • ‚Gamification trifft Hybride Lehre‘, 5. Symposium zur Hochschullehre in den MINT-Fächern, Technische Hochschule Nürnberg, 21.-22.09.2023, gemeinsam mit S. Neumaier (TH Rosenheim).   
      • ‚Promotion als industrieller Karriereschritt‘, Women Career Lunch, RWTH Aachen, 19.01.2023, eingeladener Vortrag von Prof. Dr. M. Kateri (RWTH Aachen).
      • ‚Über die Arbeit von Aktuar:innen in der Versicherungsbranche in Zeiten von Big Data und Artificial Intelligence: Einblicke von Anja Schmiedt (Aktuarin) und ChatGPT (AI)‘, Rotary Club Rosenheim-Innstadt, 16.01.2023, eingeladener Vortrag.  

    • Videos (Selection, dating back to 2023)

       

      Explainable Artificial Intelligence: Ein aktueller Überblick für Aktuarinnen und Aktuare (September 2024)

      #actuarialdatascience #dav #ads #maschinelleslernen #dgvfm #explainableai #artificialintelligence #erklärbarkeit #wissenschaft

       

      Datenbasierte Sturmmodellierung (September 2023)

      #riskmanagement #non-life #climate #analyse #klimarisiken #schadenversicherung #daten #katarstrophenrisiko # wind #sturmschaeden

       


      Podcasts

      DENK LAUT – der Podcast: Episode 1 der neuen Reihe FIT4AI(April 2025)

      #datascience #ai #artificialintelligence #statistisk #wissenschaft


    Career and Involvement

    • Education

      • Actuarial Education, German Association of Actuaries (DAV), Cologne
      • Doctorate in Mathematics, Dr. rer. nat., RWTH Aachen University, overall grade: summa cum laude (awarded the Borchers Plaque for passing the doctoral examination with distinction)
      • University Degree in Mathematics, Dipl.-Math., RWTH Aachen University, overall grade:  excellent
      • Semester abroad at the Université Savoie Mont Blanc, Chambéry, France
      • Vordiplom (Pre-Diploma/ Intermediate Examination) in Mathematics, University of Duisburg-Essen, Duisburg, overall grade: distinction

      Career

      • Professor of Mathematics (W2), Laboratory for Statistics and Actuarial Science, OTH Regensburg University of Applied Sciences Regensburg (since 09/2024)
      • Professor of Mathematics (W2), specializing in stochastics, Rosenheim Technical University of Applied Sciences
      • Professor of Statistics, Business Mathematics and Research Methods, University of Applied Management, Ismaning
      • Group and Project Manager, Actuarial Consultant, R+V Versicherung AG, Wiesbaden
      • Senior Consultant, Actuarial Consultant, Meyerthole Siems Kohlruss Gesellschaft für aktuarielle Beratung mbH, Cologne
      • Pricing Actuary, Assistant Account Executive, Actuarial Trainee, General Reinsurance AG, Cologne
      • Associate, McKinsey & Company Inc., Düsseldorf
      • Research Assistant at the Chair of Statistics, Institute of Statistics, RWTH Aachen University

    • Internal Roles

      • Member of the Faculty Council, Faculty of Computer Science and Mathematics
      • Commissioner for Equal Opportunities for Women in Academia and the Art 

      GERMAN SOCIETY FOR INSURANCE AND FINANCIAL MATHEMATICS (DGVFM)

      • Member of the Executive Board
      • Member of the “Communication and Contacts” Committee

      DAV - GERMAN ASSOCIATION OF ACTUARIES

      • Head of the specialist group “Actuarial Data Science / Artificial Intelligence” (co-head)
      • Scientific representative on the committee "Actuarial Data Science / Artificial Intelligence" and, in this role, among other things
        • Head of the “Fit4AI” working group (co-head)
        • Head of the “Explainable AI” working group (completed)
        • Member of the “Professional Rules with regard to AI” working group (completed)
      • Member of the examination board for the subjects "Data Science & Artificial Intelligence" and “Actuarial Mathematics” in actuarial training

      Other Involvement / Commitments

      • Reviewer for specialist journals
        • ‘Applied Stochastic Models in Business and Industry’
        • ‘Communications in Statistics – Simulation and Computation’
        • ‘Computational Statistics’
        • 'Mathematical Methods of Statistics'
        • ‘Statistical Papers’
      • Memberships
        • Austrian Association of Actuaries (AVÖ)
        • German Association of Actuaries (DAV)
        • German Society for Insurance and Financial Mathematics (DGVFM)
        • German Association for Insurance Science (DVfVW)
        • DMV Stochastics Specialist Group 
      • Rotary Club Regensburg

    Persons

    Prof. Dr. Martin Sachenbacher

    List of persons

    Theoretical computer science and quantum computing

    Persons

    Prakhar Bhardwaj

    List of persons

    Scientific Staff Member AI for Infrastructure and Urban Development

    Persons

    Hussein Bachir

    List of persons

    Scientific Staff Member AI for Infrastructure and Urban Development

    Persons

    Prof. Dr. Volker Kempf

    List of persons

    Angewandte Mathematik mit den Schwerpunkten Modellierung und Simulation

    • Faculty of Computer Science and Mathematics
    • Professors
    • Galgenbergstraße 32
      Room: K 122
    • +49 941 943-7289
    • volker.kempf@oth-regensburg.de
    • Tuesday, 2:00 p.m. – 3:00 p.m., book appointments via https://elearning.oth-regensburg.de/course/view.php?id=7616
    Persons

    Dr. phil. Debora Frommeld

    List of persons

    Wissenschaftliche Mitarbeiterin
    Institut für Sozialforschung und Technikfolgenabschätzung (IST)

    Projektleitung und Lehrgebiet Sozial-, Gesundheits- und Kulturwissenschaften

    Persons

    Prof. Dr. phil. habil. Karsten Weber

    Professor
    List of persons

    Prof. Dr. phil. habil. Karsten Weber is a philosopher and expert in technology assessment. He studied philosophy, computer science, and sociology at the University of Karlsruhe (TH), then earned his doctorate in philosophy in Karlsruhe and his habilitation in philosophy at the EUV Frankfurt (Oder). In his academic work, Prof. Weber focuses primarily on the effects of modern technology on individuals and societies.

    ORCID: https://orcid.org/0000-0001-8875-238

    Technology Assessment, Applied Ethics, Sustainability

    Ombudsperson (deputy) Ensuring good scientific practice

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    Prof. Dr. Oliver Stein

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    Dean of Studies

    Professor of Mathematics

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    Dr. Katrin Neubauer

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    Faculty Advisor

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    Melissa Göler

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    Faculty Assistant

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    Natalia Oldenburg

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    Secretariat

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    Prof. Dr. Angelika Kneidl

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    Computer Science with focus on simulation

    Teaching

    Teaching areas:

    - Programming
    - Simulation
    - Scientific Seminar

    Theses:

    Current Topics

    Research

    Research interests:

    - Modelling and Simulation
    - Crowd Simulation
    - Validation of Simulation
    - Event Safety
    - Software Engineering
    - UI / UX

    Current Research Projects: 

    - FreiburgRESIST -Integrated Resilience Management System for Major Events
    -> More Information
    - Resolut - autonomous, decentralized communication technologies that enable resilient information exchange without infrastructure, using anonymous location-based data to support emergency communication, smart city applications, and crowd management
    -> More Information

    Publications

    ORCID

    Career

    Functions:

    - Member of the Board of Trustees, Georg Nemetschek Institute for AI in the Built Environment, Technical University of Munich
    - Chair of RiMEA e.V. (Guidelines for Microscopic Evacuation Analyses)
    - Head of Working Group 1.9.3 "Use of Simulations in Crowd Planning and Management" of FGSV Committee 9.1

    Persons

    Prof. Dr. Ralf Lenz

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    Mathematische Optimierung, Operations Research

    Lehre

    • Introduction to modelling and solving techniques of real-world applications as mixed-integer programs (MIP)


    Publications

    Persons

    Nicole Höß

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    Scientific Coordinator RCAI

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    Prof. Dr. Wolfgang Mauerer

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    Computer Science

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    Prof. Dr. Timo Baumann

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    AI with Focus on Natural Language Processing

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    Prof. Dr. rer. nat. Jürgen Frikel

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    Mathematics

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    Prof. Dr. Thomas Wölfl

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    Business Information Technology

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    Prof. Dr. Christoph Skornia

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    Vice President for IT Security, Digitalization, Sustainability, and Social Responsibility, as well as STEM Promotion

    Vice President for IT Security, Digitalization, Sustainability, and Social Responsibility, as well as STEM Promotion

    Professor of Information Security

    Head of the Sustainability department

    Contact person for Anti-Semitism

    Persons

    Dr. Réka Vágvölgyi

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    Fakultätsreferentin

    • Faculty of Computer Science and Mathematics
    • Employees
    • Galgenbergstraße 32
      Room: K 211
    • +49 941 943-9750
    • Nach Vereinbarung