We are pleased to announce that we will have the privilege to host as keynote speakers:
Speaker: Prof. Hiroaki Kitano (The Systems Biology Institute, Japan)
Title: Nobel Turing Challenge: Grand Challenge of AI, Robotics, and Systems Biology
Speaker: Prof. Michael I. Jordan (University of California, Berkeley, USA)
Title: On Computational Thinking, Inferential Thinking and Data Science
Prof. Dr. Katharina J. Morik
Professor for Artificial Intelligence
Faculty of Computer Science at TU Dortmund, Germany
Spokeswoman of the Collaborative research center SFB 876 “Providing information by resource-constrained data analysis”
Title: Data Analytics for Data Science
Data Science has become increasingly popular since more and more sciences follow a research strategy that is based on measurements and simulations. Combining domain expertise with mathematical methods and those of computer science constitutes the field. The amount of measurements is increasing due to enhanced cyber physical systems of many kinds. These large amounts of data require computational analytics. A special challenge is in the first analysis of the raw data, which should be close to the data gathering instrument or be even integrated into it and process the data in real-time. Since scientists can hardly verify data summaries or learned models manually, their theoretically well based properties need to be shown.
Katharina Morik is full professor for computer science at the TU Dortmund University, Germany. She earned her Ph.D. (1981) at the University of Hamburg and her habilitation (1988) at the TU Berlin. Starting with natural language processing, her interest moved to machine learning ranging from inductive logic programming to statistical learning, then to the analysis of very large data collections, high-dimensional data, and resource awareness. She is a member of the National Academy of Science and Engineering and the North-Rhine- Westphalia Academy of Science and Arts. She leads the research center SFB876 on Data Analysis under Resource Constraints comprising 14 projects, 20 professors and about 50 PhD students.