Doowon Kim

Doowon Kim is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD in Computer Science from the University of Maryland, College Park (2020) and has held academic positions including research internships at Symantec Research Labs and Korea Electronics Technology Institute.

Education:

• PhD, Computer Science, University of Maryland (2020)
• MS, Computer Science, University of Utah (2013)
• B.E., Computer Science and Engineering, Hankuk University of Foreign Studies (2011)

Research Interests:

• Computer Security: Data-driven security, usable security, phishing analysis, and PKI abuse.
• Network Security: Internet measurement, TLS protocols, and threat intelligence sharing.
• Web Security: Client-side vulnerabilities, phishing kits, and anti-Asian racism in social media.
• AI in Security: Adversarial attacks on code generation models and poisoned AI suggestions.

Recent Trends in Publications:

Focus areas include phishing detection mechanisms, AI-driven code exploitation, and PKI security. Recent work explores visual similarity-based phishing detection, backdoor attacks on code completion models, and longitudinal studies of client-side vulnerabilities.

Awards:

• NSA Best Scientific Cybersecurity Paper (2017)
• Ann G. Wylie Dissertation Fellowship (2019)
• Best Student Paper at WISA 2022

Advising & Grants:

• Advises 14+ graduate/undergraduate students (e.g., Kyungchan Lim, Fujiao Ji).
• Secured travel grants for students at Web Conf and NDSS.
• Recipient of NSF proposal review panelist roles.

Labs & Teams: Actively leads research in cybersecurity with a focus on phishing, PKI, and AI ethics. Collaborates with global institutions like KAIST and Samsung Research.