ECE Research in Information and Data Sciences (IDS)

Research in the area of Information and Data Sciences (IDS) centers around the sensing, communication, and processing of various forms of information. Due to the enormous flexibility of electromagnetic energy, almost all information captured in the physical world today is through electromagnetic, electro-optical, bio-electrical, electro-chemical, or electro-mechanical transducers. Hence, one of the distinguishing features of this research is the use of mathematical models tied to the physics of the phenomena underlying the generation, sensing, communication, and processing of information, whether electromagnetic, biological, chemical, or mechanical. Information, however, may also arise from more abstract phenomena such as patterns of anomalous behavior in surveillance videos, internet traffic, stock market data, geographic disease dynamics, and social interactions. Because the information is complex, high-dimensional, and accompanied by noise and uncertainty, stochastic models play a fundamental role in this research.

Research Focuses

Machine Learning, Big Data, and Analytics; Computational Imaging and Inverse Problems; Decision and Estimation Theory; Signal, Image and Video Processing; Biological and Medical Imaging; Computational and Systems Biology; Medical Informatics; Sensor Networks; Communication and Information Theory; Network Security; Multi-Agent Systems.


Carruthers, Cassandras, Castañón, GoyalGrayIshwar, Karl, Konrad, Wenchao LiLittle, Nawab, Nazer, Paschalidis, PisanoSaligrama, Starobinski, Tian, and Trachtenberg.

Information Sciences and Systems Labs & Affiliated Faculty

Research Centers