With Prof. Dr Landt-Hayen, the HSBA Hamburg School of Business Administration has gained a proven expert in business informatics and artificial intelligence. The computer scientist, who holds a doctorate, brings with him many years of experience in science and practice and will focus in particular on teaching artificial intelligence and data science in future.
HSBA Welcomes New Professor of Business Informatics
“It has always been especially important to me to put my computer science expertise to work on real-world, interdisciplinary challenges. As an application-oriented university, that combines academic study with on-the-job training, HSBA provides exactly the right setting for that,” comments Professor Landt-Hayen. “I’m really looking forward to working with the students and my colleagues in the faculty.”
Throughout his academic career, Professor Landt-Hayen has focused intensively on data science, machine learning and artificial neural networks. His dissertation focused on explainable AI – methods that make the learning and decision-making processes of AI models comprehensible. He has used these findings to identify new connections in the climate and ocean systems, among other things.
In his teaching, Professor Landt-Hayen relies on modern methods and uses generative AI tools to develop exercise and examination formats, actively training students in their professional use.
‘We are delighted to expand our profile and range of courses in the field of digitalisation and artificial intelligence with Professor Landt-Hayen,’ said Professor. Tim Goydke, President of HSBA. ‘His expertise is very valuable to us because it focuses on transparency and responsibility in the application of AI.’
Professor Marco Landt-Hayen completed his doctorate after obtaining a degree in physics and a Master of Science in Data Science from Christian Albrecht University in Kiel and the Helmholtz School for Marine Data Science (MarDATA) on the topic: ‘Exploring Methods of Explainable AI - Data-driven Attribution of Climate Events’. He has many years of experience as a data analyst and in the implementation of AI solutions in the fields of automatic speech recognition and image processing, as well as a lecturer at HAW Kiel, including in the online degree programme in Business Informatics.