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
- 2025-26 winter term: Wednesdays from 8 to 9am.
- 2026 summer term: Tuesdays from 7.30 to 8am.
During the lecture period. Please get in touch by email in advance.
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, energy, finance, healthcare, insurance, intelligence, IT, logistics, management, materials science, mechanical engineering, police, power, semiconductors, transportation, and others
More information: www.glauner.info
Research and teaching areas
Courses:
- AI Project
- Algorithms and Data Structures
- Computer Vision
- Innovation Management for Artificial Intelligence
- Quantum Computing
Former courses:
- Big Data
- Big Data, Technology Campus Cham
- Industry 4.0
- Natural Language Processing
- Programming 2
More information: www.glauner.info/teaching
Vita
Special achievements:
- Advised the European Parliament, the parliaments of France, Germany, and Luxembourg, and the Inter-Parliamentary Union as an expert witness
- Speaker at high-profile events, such as the Annual Meeting of the International Finance Forum and AI House Davos
- Ranked by CDO Magazine among the worldwide academic data leaders in 2022
- Hosted the 2024 CERN Spring Campus at Deggendorf Institute of Technology
Positions:
- Since 2020: Full Professor of Artificial Intelligence, Deggendorf Institute of Technology
- 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