Gail-Joon Ahn, a professor of computer science and engineering in the School of Computing and Augmented Intelligence in the Ira A. Fulton Schools of Engineering, has recently been named a Fellow of the Institute of Electrical and Electronics Engineers, or IEEE, the world’s largest organization of technical professionals.
The announcement of Ahn’s Fellow status cited his contributions to the development of applications of information and systems security.
The IEEE Fellow designation is for members whose extraordinary accomplishments in any of the IEEE fields of interest are deemed worthy of this distinction. The number of IEEE Fellows elevated in a year is no more than 0.1% of the institute’s membership, which reflects on the impacts of Ahn’s research accomplishments.
His research has encompassed security analytics and big-data-driven security intelligence, vulnerability and risk management, access control and security architecture for distributed systems, identity and privacy management.
Ahn’s work has also included cybercrime analysis, security-enhanced computing platforms and formal models for computer security devices.
He has authored more than 180 refereed research papers and was the founding director of the Center for Cybersecurity and Digital Forensics (currently the Center for Cybersecurity and Trusted Foundation) at ASU and the Center for Digital Identity and Cyber Defense Research at the University of North Carolina at Charlotte.
Ahn is a recipient of the U.S. Department of Energy Early Career Principal Investigator Award. In addition, the National Science Foundation, National Security Agency, U.S. Department of Defense, Office of Naval Research and the U.S Department of Justice have funded his work.
In addition, his research has been supported by Allstate, Intel, Bank of America, CISCO, GoDaddy, Google, Hewlett Packard, Microsoft, PayPal, the Robert Wood Johnson Foundation and Samsung.
Ahn is currently the information director of the Special Interest Group on Security, Audit and Control in the Association for Computing Machinery, or ACM.