My name is Onat Gungor. I am a postdoctoral scholar in the Computer Science and Engineering department at UC San Diego, advised by Professor Tajana Rosing. I have received my Ph.D. from UC San Diego and San Diego State University in December 2023. My research aims to build AI that is efficient, secure, and reliable, with the goal of enabling dependable operation in real-world systems. I develop approaches that make AI practical on devices with limited computing power, resilient against malicious attacks, and trustworthy in the decisions it makes. My work has been recognized by the AI, systems, and cybersecurity research communities through publications in leading conferences and journals such as DATE, DAC, SenSys, AAAI, ICPR, S&P, and IoTJ. I also lead and contribute to collaborations with industry partners such as Intel Labs and Google, as well as research centers funded by SRC, DARPA, and NSF including PRISM, CoCoSys, and TILOS.

News

• [09/25] Two papers accepted in ICMLA 2025!
• [08/25] Excited to be on the academic job market this year!
• [07/25] Paper accepted in MASS 2025!
• [05/25] Our paper DYNAMITE received the Best Paper Award at SafeThings 2025!
• [05/25] Paper accepted in GLSVLSI 2025!
• [04/25] Paper accepted in CSR 2025!
• [03/25] Paper accepted in SafeThings 2025!
• [03/25] Poster paper accepted in SenSys 2025!
• [02/25] Paper accepted in DAC 2025!
• [01/25] Paper accepted in SenSys 2025!
• [12/24] Two papers accepted in AI4TS 2025!
• [11/24] Paper accepted in AICS 2025!
• [09/24] Paper accepted in ASP-DAC 2025!
• [08/24] Paper accepted in ICPR 2024!
• [07/24] Paper accepted in ICCAD 2024!
• [06/24] Two papers accepted in CSR 2024!