Mirek Riedewald

Research interests

• Databases
• Data mining

Education

• PhD in Computer Science, University of California, Santa Barbara
• BS in Computer Science, Saarland University — Germany

Biography

Mirek Riedewald is a professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston.

Riedewald's research interests are in databases and data science, with an emphasis on designing novel data management and analysis techniques that scale in size, velocity, and dimensionality of data. He has collaborated with scientists from various domains, including ornithology, physics, mechanical and aerospace engineering, and astronomy. This work produced novel approaches for data warehousing, data stream processing, prediction, and parallel data processing using computer clusters. Riedewald now focuses on distributed big-data analytics, ranked enumeration, exploratory analysis of massive observational datasets, query visualization, and techniques for automated reconstruction of structure and dynamics of neural circuits, a crucial step toward understanding the functionality of the brain.

Prior to joining Northeastern, Riedewald was a research associate at Cornell University. He also held visiting research positions at Microsoft Research in Washington and at the Max Planck Institute for Informatics in Germany. His work has been published in premier data management research venues and journals, and he has received awards for Best Student Paper at ECML, Best Poster at ICDE, and Best Paper at EDBT, as well as "best-of-conference" mentions at ICDE, DaWaK, and ICDE.

Labs and groups

• Databases (Data Lab)

Projects

Recent publications