Christoforos Hadjicostis received S.B. degrees in Electrical Engineering, in Computer Science and Engineering, and in Mathematics, the M.Eng. degree in Electrical Engineering and Computer Science in 1995, and the Ph.D. degree in Electrical Engineering and Computer Science in 1999, all from the Massachusetts Institute of Technology, Cambridge, MA. In August 1999 he joined the Faculty at the University of Illinois at Urbana-Champaign (UIUC) where he reached the rank of Associate Professor with the Department of Electrical and Computer Engineering, Research Associate Professor with the Coordinated Science Laboratory, and Research Associate Professor with the Information Trust Institute. In 2007, Dr. Hadjicostis joined the Department of Electrical and Computer Engineering at the University of Cyprus, where he served as the Department Chair from 2008 to 2010. Dr. Hadjicostis teaches and conducts research in the areas of systems and control, communication, and digital signal processing. His current research focuses on fault diagnosis and tolerance in distributed dynamic systems; error control coding; distributed algorithms for monitoring, diagnosis and control; discrete event systems; and applications to network security, anomaly detection, medical diagnosis, and biosequencing. Dr. Hadjicostis serves as an Associate Editor for IEEE Transactions on Automatic Control, for the Journal of Discrete Event Dynamic Systems, and for IEEE Transactions on Control Systems Technology; he has also served as an Associate Editor for the IEEE Transactions on Circuits and Systems I (Regular Papers) and as an Editor on the Conference Editorial Board of the IEEE Control Systems Society.

(i) Fault-tolerant combinational/sequential systems; error control coding; (ii) Distributed algorithms for estimation, diagnosis, and control; applications to cyber-physical systems, and networks of embedded sensors and actuators; (iii) Systems and automation; discrete event systems; coding and graph theory; (iv) Monitoring, diagnosis and control; model classication and anomaly detection; applications to network security, medical diagnosis, and biosequencing