Innovation Hub for Machine Intelligence and Data Science
Advancing the frontiers of Machine Learning and Artificial Intelligence through innovative research, collaboration, and real-world applications at the UE Innovation Hub.
iHubMids is a leading research group at the University of Europe for Applied Sciences Innovation Hub in Potsdam, dedicated to pushing the boundaries of Machine Learning and Artificial Intelligence.
Our mission is to conduct cutting-edge research that addresses real-world challenges across diverse domains including healthcare, cybersecurity, IoT, finance, and bioinformatics. We are committed to developing responsible, explainable, and ethical AI systems that can transform industries and improve lives.
As part of the Machine Intelligence and Data Science (MINDS) research group, we foster a collaborative environment where innovation thrives, and knowledge is shared freely among researchers, students, and industry partners.
Meet the distinguished researchers driving innovation in Machine Learning and AI
Vice President for Research & Professor of Data Science
Expert in Data Engineering, Data Analytics, Machine Learning, Artificial Intelligence, and Cloud Computing. His research focuses on developing AI methods applicable across sectors such as health, industry, and data science.
Professor of Software Engineering
Specializes in Responsible AI, Explainable AI, and Social Network Analysis. With extensive academic and professional experience, he focuses on ensuring AI systems are transparent, ethical, and accountable.
Professor of Digital Business and Data Science
Ph.D. in Computer Science with Specialization in Computational Biology and AI from KTH Sweden. With over 13 years of teaching experience, he specializes in Machine Learning, Deep Learning, AI, Data Science, and Bioinformatics. Member of MINDS research group.
Research Associate
Contributing to the research initiatives of iHubMids in Machine Learning and Artificial Intelligence domains.
Our research spans multiple domains, addressing real-world challenges through AI and ML
Developing transparent, ethical, and accountable AI systems that can be trusted and understood by users and stakeholders.
Harnessing big data to derive meaningful insights and inform decision-making across various industries and applications.
Applying computational methods and AI techniques to understand biological data, advancing healthcare and life sciences.
Developing AI-driven approaches to protect digital assets, detect threats, and enhance security systems.
Integrating AI with IoT to create intelligent, connected systems that can learn and adapt to their environment.
Applying machine learning and AI techniques to financial modeling, risk assessment, and algorithmic trading.
Our research contributions to top-tier journals and conferences
Our team members have published extensively in prestigious journals including Engineering Applications of AI (IF 8.0), Molecular Biology and Evolution (IF 14.797), and Expert Systems with Applications (IF 8.8).
Explore our individual Google Scholar profiles for comprehensive publication lists:
Get in touch for collaborations, inquiries, or opportunities
University of Europe for Applied Sciences
Innovation Hub
Konrad-Zuse-Ring 11
D-14469 Potsdam, Germany
Department of Business
Machine Intelligence and Data Science (MINDS) Research Group
Phone: +49 (0)30 338 539 710
Email: study@ue-germany.com
UE Innovation Hub Website