Gerard de Melo is a professor at the Hasso Plattner Institute and the University of Potsdam, where he holds the Chair for Artificial Intelligence and Intelligent Systems and leads the corresponding research group. Previously, he was an assistant professor at Rutgers University in the US and at Tsinghua University in Beijing, and a post-doctoral research scholar at ICSI/UC Berkeley. He received his doctoral degree at the Max Planck Institute for Informatics.
Gerard de Melo has published over 200 papers on various aspects of AI, especially on large language models, computer vision, and knowledge graphs. His work has received Best Paper awards at CIKM 2022, CIKM 2010, ICGL 2008, the NeurIPS 2023 Workshop on Advancing Neural Network Training, the EACL 2021 LANTERN Workshop, and the NAACL 2015 Workshop on Vector Space Modeling, as well as the WWW 2011 Best Demonstration Award, among others. Some of his work has been covered by the Wall Street Journal, Reuters, and various other media outlets. He also serves as the General Chair for the annual AI@HPI Conference in Potsdam.
Title of the presentation: Confidently Wrong, Yet Effective: Techniques for Deploying Imperfect AI.
Inauguration session on June 25, 2025.