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Head of the Research Data Science and its Applications

Prof. Dr. Sebastian Vollmer

Organizational unit Data Science and its applications
Contact +49 631 20575 7601 (Kaiserslautern)

https://dsa.dfki.de
Address (Kaiserslautern) Trippstadter Straße 12267663 Kaiserslautern
Prof. Dr. Sebastian Vollmer

Publications

All publications

  1. Act as a Honeytoken Generator! An Investigation into Honeytoken Generation with Large Language Models

    Daniel Reti; Norman Becker; Tillmann Angeli; Anasuya Chattopadhyay; Daniel Schneider; Sebastian Vollmer; Hans Dieter Schotten

    In: AACD '24: Proceedings of the 11th ACM Workshop on Adaptive and Autonomous Cyber Defense. ACM Workshop on Adaptive and Autonomous Cyber Defense (AACD-24), located at ACM Conference on Computer and Communications Security (CCS '24), October 14, Salt Lake City, USA, ISBN 979-8-4007-1231-9, Association for Computing Machinery, New York, NY, USA, 12/2024.

Profile

Employment

  • Since 2021
    Professor for Application of Machine Learning at University Kaiserslautern-Landau (RPTU)
  • Since 2021
    Senior Researcher DFKI – Research Department Leader from 1.11
  • Since 2016
    University of Warwick
    Associate Professor at the Mathematics Institute and the Department of Statistics (tenured)     setting research agendas, and delivering courses, staying across current academic research in data and statistics and supervising PhD and MSc students.
  • 2016-2021
    Alan Turing Institute
    1. Director for Data Study Groups since August 2017
    2. Lead for the Data Science for Social Good initiative since September 2018
    Co-Director for the Health & Medical Sciences Programme from August 2018
  • 2017-2018
    Public International Limited
    Senior Consultant helping start-ups to transform the public sector
    As part of this role, I advised the data strategy and technical questions for start-ups including Cera Care, Fly Notes and Rota Geek. Additionally, we delivered a training programme to CQC to upskill their staff on machine learning.
  • 2014-2016
    University of Oxford
    Departmental Lecturer at the Department of Statistics
    Junior Research Fellow Somerville College
  • 2013-2014
    University of Oxford
    Postdoc with Professor Arnaud Doucet and Professor Yee Whye Teh on Bayesian Inference for Big Data with Stochastic Gradient Markov chain Monte Carlo

Education

  • 2010-2013
    PhD in mathematics, University of Warwick
    ERC-studentship under the supervision of Professor Andrew Stuart and Professor Martin Hairer
    Title of PhD-thesis: “Consistent and Efficient Inference for Complex Models”
  • 2009-2010
    MSc in mathematics with distinction, University of Warwick
    due to excellent performance at undergraduate level at Georg-August-Universität Göttingen, Germany - no BSc required
  • 2014 Faculty prize of the University of Warwick for the best PhD thesis in mathematics
  • 2009-13 Scholarship of the German Academy Foundation
  • 2009 3rd prize at the International Mathematics Competition at university level in Bulgaria

  • Ai4Nof1

    Entwicklung personalisierter, KI-gestützter Lebensstilinterventionen zur Verbesserung des Behandlungserfolgs und der Lebensqualität von Patienten mit chronischen Krankheiten, mit Erprobung des Konzepts für das Reizdarmsyndrom)

    In der evidenzbasierten Medizin gelten populationsbasierte randomisierte kontrollierte Studien als Goldstandard für die Abschätzung der Auswirkungen von Maßnahmen. Der durchschnittliche…

  • PIAD

    Physics-informed Anomaly Detection

    Ziel dieses Projekts ist die Entwicklung einer neuen informierten Ki:

    physik-informierte tiefe Anomalieerkennung.

    Dabei wird auf modernste neuronale Anomalieerkennungsalgorithmen aufgebaut, die…

  • ML-Bau-Doc+

    Maschinelles Lernen zur Informationsextraktion im Bereich Gebäudedokumentation

    Die im Vorgängerprojekt „Maschinelles Lernen im Bereich Gebäudedokumentation (ML-BALI-DOK)"

    (https://www.zukunftbau.de/projekte/forschungsfoerderung/1008187-2026) entwickelten Algorithmen ermöglichen…

  • TrustifAI

    Mission Kl Innovation- and Quality Center (IQZ) Kaiserslautern (TrustifAI - Health and Wellbeing)

    Trustworthy AI applications for a secure future

    Under the leadership of acatech – National Academy of Science and Engineering, MISSION KI aims to strengthen the trustworthiness and reliability of AI…

    TrustifAI

  • Eventful

    timely models for individual & societal health

    This project focusses on the interconnected problems of measuring and predicting health and well-being. Health and well-being exist at two levels: within the individual, where we may observe or…

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