Nick Koudas

Biography

As a Professor in the Department of Computer Science at the University of Toronto, my research program is dedicated to addressing fundamental challenges in large-scale data management. My work focuses on the intersection of data systems, big data analysis, data science, and applied machine learning. The primary objective of my research is to architect and implement next-generation systems and algorithms capable of efficiently processing and extracting insights from massive and heterogeneous datasets. A central theme within my research group is the deep integration of machine learning techniques as core primitives within these scalable data platforms, enabling them to analyze vast data collections with unprecedented intelligence and capability.

I hold a PhD from the University of Toronto, an MSc from the University of Maryland at College Park, and a Bachelor's degree from the University of Patras in Greece.

My research contributions have been recognized with several best paper awards at premier international forums. In 2011, the University of Toronto honored my work by naming me Inventor of the Year (1st Prize). A comprehensive list of my recent publications is available for review.

I am passionate about translating academic research into impactful, real-world applications through entrepreneurship. This interest has led me to co-found several data analytics companies, including Sysomos (now part of the Meltwater Group) and Aislelabs (acquired by Constellation Software). Currently, I am a co-founder at Workorb and serve as an advisor to the innovative team at mapintent.

Research Projects

Courses Taught