Virginia Tech National Capital Region alumna Jin-Hee Cho has been honored with the Presidential Early Career Award for Scientists and Engineers (PECASE), for her fundamental contributions to the science of cyber trust, network security, and tactical network applications; for dedication to mentoring students; and for leadership in the broader research community.
PECASE is the highest honor bestowed by the U.S. government on science and engineering professionals in the early stages of their research careers.
Cho was among more than 100 leading scientists and engineers from across the country (and around the world) who received the award. They were recently welcomed to the White House by President Obama who thanked them for their work on some of the most challenging and complex issues in science and technology.
The group spent two days in Washington, D.C., meeting with administration leaders and sharing the insights of their work.
A computer scientist at the U.S. Army Research Laboratory in Adelphi, Maryland, Cho received both her M.S. and Ph.D. degrees in computer science from Virginia Tech under the advising of Ing-Ray Chen, professor and director of the computer science program in the National Capital Region.
Cho’s research interests include network security, trust and risk management, cognitive modeling, and network science. She received best paper awards in IEEE TrustCom09 and BRIMS13 and is a recipient of the 2015 IEEE Communications Society William R. Bennett Prize in the field of Communications Networking. She is a senior member of the IEEE and a member of the Association of Computing Machinery (ACM).
Cho will be extending her research in two potential directions: trust to enhance autonomy in tactical environments; and trust to facilitate opinion spreading in distributed environments.
Although the role of trust in enhancing autonomy has been discussed in other domains such as bioethics, social psychology, and sociology, it has not been fully addressed in tactical networks whose characteristics introduce many difficult design challenges including high dynamicity, hostility, tempo, and uncertainty. Her research can be used to provide solutions for autonomous systems in the Army settings that consider heterogeneous entities including both humans and machines.
As social network/media services (e.g., Facebook, Twitter, LinkedIn) increase in popularity, social network analysis that seeks to infer trust relationships (e.g., by investigating patterns in relationships, interactions, and opinion flows) can provide crucial insights, which can be used to predict and control critical aspects of decision-making processes.
These two areas of Cho’s research are well aligned with both Army Research Laboratory and Department of Defense mission areas.
Posted May 31, 2016