Our AI experts conduct research in various projects on the topics of machine learning, robotics or predictive maintenance. In numerous of our degree courses, such as High Integrity Systems, Computer Science (B.A., M.A.), Geodata Management (M.A.) or Barrier-free Systems - Intelligent Systems, we teach about the various application fields for AI.


Our experts on AI

Artificial intelligence, machine learning, in particular reinforcement learning, case-based reasoning and knowledge management, research focus on simulated robot soccer


Degree course: General Computer Science, Computer Science, High Integrity Systems
Modules: Machine Learning in Robotic Soccer Simulation, AI and Games, Intelligent Agents, Artificial Intelligence


Machine learning, supervised/unsupervised learning, convolutional/deep neural networks, computer vision, object recognition, self-localization and navigation, autonomous driving/robots, speech recognition, computational neuroscience, bioinspired systems, pattern recognition, bioinformatics/biomathematics

Degree course: High Integrity Systems
Modules: Machine Learning


Prof. Dr.
Martin Kappes
Building 1, Room 220
Fax : +49 69 1533-2727

Machine learning, AI in interaction with digital transformation, AI in information sensitivity, Scientific spokesperson of HAW in the Hessian Center for AI.

Prof. Dr.
Peter Nauth
Building 8, Room 111
Fax : +49 69 1533-2012

AI for autonomous systems and intelligent sensors, robotics and AI


Degree course: Electrical Engineering & Information Technology, Electrical Engineering and Information Technology; Mechatronics and Robotics, Information Technology
Modules: Embedded Intelligent Systems, Intelligent Systems in Automation Engineering, Intelligent Sensors for Autonomous Systems, AI-based Autonomous Systems, Autonomous Assistance Robots, AI-based Autonomous Systems, Autonomous Driving, Machine Learning


Prof. Dr.
Jörg Schäfer
Director of Computer Science (Bachelor)
Building 1, Room 217

Probabilistic machine learning methods with applications in the area of Internet of Things (IoT), ubiquitous and mobile computing, and Industry 4.0.

Degree course:: Computer Science, High Integrity Systems
Modules: Learning from Data, Machine Learning

Prof. Dr.
Swen Schneider
Head of degree course: Strategic Information Management
Building 4, Room 502

Applied AI, Executive Director of the Institute for Data Driven Business (d2b)


Degree course:: Strategic Information Management
Modules: Applied Artificial Intelligence


Prof. Dr.
Baris Sertkaya
Prof.für Algorithmen und Mathematik
Building 1, Room 218

Knowledge representation, logical reasoning, ontology languages, applications in semantic web


Prof. Dr.
Christian Baun
Studiengangsleitung Allgemeine Informatik (M.Sc.)
Building 1, Room 216

Image or object recognition using lightweight systems such as single-board computers


Prof. Dr.
Josef Fink
Building BCN (City Gate), Room 325

AI applications, digitalization of business processes, machine learning


Degree course: Business Informatics
Modules: Data Mining, Data Engineering, Predictive Analytics


Prof. Dr.
Dirk Stegelmeyer
Head of degree course: Service Engineering (Bachelor)
Building BCN (City Gate), Room 626

Predictive maintenance, predictive quality analytics


Degree course: Service Engineering, Mechanical Engineering
Modules: Digitalization, Data-based process management


Prof. Dr.
Robert Seuß
Head of degree course: Geomatics and Public Works (M. Eng.)
Building BCN, Room 220

Research AI in geospatial data analytics, geospatial data infrastructures, and IoT


Head of degree course Geodata Management


Prof. Dr.
Eicke Godehardt
Prof. für Softwareengineering
Building 1, Room 142

Degree course: General Computer Science, Accessible Systems - Intelligent Systems
Modules: Artificial Intelligence, Image Recognition and AI, Speech Recognition and Synthesis and AI, Data Mining Methods, Learning from Data, Internet of Things


AI & HR, human-machine interaction, AI and workplace of the future


Prof. Dr.
Andreas Pech
Studiengangsleitung Stg BSEE, EAT, E, I,T IK
Building 8, Room 115

Degree course: Information Technology, Electrical Engineering and Information Technology, Information Technology, Mechatronics & Robotics
Modules: Computational Intelligence, Machine Learning, Image Processing


AI in computer games, generating value with AI, monetization through recommendation engines


Prof. Dr.
Sebastian Bremm
Course Management Business Information Systems (M.Sc.)
Building BCN, Room 327

Visualization, machine learning, predictive quality analytics


Prof. Dr.-Ing.
Sven Kuhn
Dean of Faculty 2 and course management Electrical Engineering and Information Technology
Building 2, Room 331

electronics and AI


Prof. Dr.
Axel Jäger
Wirtschafts- und Gesellschaftsrecht
Building 4, Room 521

AI-based legal process organization in companies and corporations, digital compliance, managerial analysis of law, RegTech and SupTech


Prof. Dr.
Tino Michalski
ABWL, Internationales Management
Building 4, Room 402

AI in innovative business models and start-ups, AI and digitalization in traditional industrial companies, AI and knowledge-intensive services

Prof. Dr.
Kai-Oliver Schocke
Building 2, Room 512-516
Fax : +49 69 1533-2903

Digitalization of production and logistics, AI and Industry 4.0


Prof. Dr.
Domenik Wendt
Building 21, Room 300
Fax : +49 69 1533-63876

Robotics and law, ethics and AI, product compliance


Website editorial teamID: 7429
last updated on: 07.04.2022