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Prof. Dr. Patrick Glauner

Big picture of AI:

  • Methodology and technology
  • Commercialization
  • Legal, economic and political issues

Professor

Internship Coordinator of the Artificial Intelligence and Künstliche Intelligenz Undergraduate Programs


consulting time

Thursdays from 1 to 2pm and by agreement. Please get in touch by email in advance.


Sortierung:

core competencies

  • AI and Machine Learning
  • Big Data, Computer Vision and Natural Language Processing
  • Commercialization of AI and innovation management
  • Legal, economic and political issues
  • Quantum Computing
  • Industry knowledge: agriculture, automotive, construction, consulting, defense, education, finance, healthcare, insurance, intelligence, IT, logistics, management, materials science, mechanical engineering, police, power, semiconductors, transportation, and others

More information: www.glauner.info


Forschungs- und Lehrgebiete

Lectures:

  • AI Project
  • Algorithms and Data Structures
  • Big Data
  • Computer Vision
  • Innovation Management for Artificial Intelligence
  • Quantum Computing

More information: www.glauner.info/teaching


Vita

Special achievements:

  • Advised the parliaments of France, Germany, and Luxembourg as an expert witness
  • Ranked by CDO Magazine and Global AI Hub among the worldwide academic data leaders
  • Panelist at AI House Davos during the 2024 Annual Meeting of the World Economic Forum
  • Hosted the 2024 CERN Spring Campus at Deggendorf Institute of Technology

Positions:

  • Since 2020: Full Professor of Artificial Intelligence, Deggendorf Institute of Technology
  • 2022 - 2023: Ramon O'Callaghan Professor of Technology Management and Innovation, Woxsen University
  • 2019 - 2020: Head of Data Academy, Alexander Thamm GmbH
  • 2018 - 2019: Innovation Manager for Artificial Intelligence, Krones Group
  • 2018: Visiting Researcher, Université du Québec à Montréal (UQAM)
  • 2015 - 2018: PhD Candidate, University of Luxembourg
  • 2012 - 2014: Fellow, European Organization for Nuclear Research (CERN)

Degrees:

  • 2019: PhD in Computer Science, University of Luxembourg
  • 2018: MBA, Quantic School of Business and Technology
  • 2015: MSc in Machine Learning, Imperial College London
  • 2012: BSc in Computer Science, Karlsruhe University of Applied Sciences

Scholarship:

  • German National Academic Foundation