Stratis Ioannidis

Core Faculty

Applied, Core
Applied Focus Areas:
Health | Internet of Things | Wireless Communications
Core Focus Areas:
Machine Learning | Optimization | Statistics and Probability | Data Mining | Privacy and Cybersecurity | Scalable AI, ML Systems, and High Performance Computing | Learning Theory
Stratis Ioannidis
Core Faculty

Stratis Ioannidis is an associate professor in the Electrical and Computer Engineering Department at Northeastern University, where he also holds a courtesy appointment with the Khoury College of Computer Sciences. His research interests span machine learning, distributed optimization, networking, and privacy.

Stratis is particularly interested in designing machine learning algorithms that come with provable guarantees for computational efficiency and sample complexity when applied to large-scale problems. His research is motivated by real-life challenges and applications in a diverse set of areas, including networking, the wireless internet of things, and health.

Professor Ioannidis is the recipient of an NSF CAREER Award, a Google Faculty Research Award, a Facebook Research Award, a Martin W. Essigmann Outstanding Teaching Award, and several best paper awards. His work has been funded by the National Science Foundation, DARPA, the Department of Defense, and the Simons Foundation. Prior to joining Northeastern, he was a research scientist at the Technicolor research centers in Paris, France, and Palo Alto, California, as well as at Yahoo Labs in Sunnyvale, California. He received his bachelor of science in electrical and computer engineering from the National Technical University of Athens and his master of science and doctorate in computer science from the University of Toronto.