Onat Gungor
Scholar

Onat Gungor

Google Scholar ID: 29-Z1JoAAAAJ
UC San Diego
Machine LearningSecurityInternet of Things
Citations & Impact
All-time
Citations
257
 
H-index
8
 
i10-index
7
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Background
  • Postdoctoral Scholar in the Department of Computer Science and Engineering at UC San Diego
  • Research focuses on building AI that is efficient, secure, and reliable for dependable real-world operation
  • Develops practical AI approaches for resource-constrained devices, resilient against attacks, and trustworthy in decision-making
  • Work recognized by AI, systems, and cybersecurity communities with publications in top venues such as DATE, DAC, SenSys, AAAI, ICPR, S&P, and IoTJ
  • Leads and contributes to collaborations with industry partners (Intel Labs, Google) and research centers funded by SRC, DARPA, and NSF (e.g., PRISM, CoCoSys, TILOS)