Summary
Fnu Suya is an assistant professor of computer science at the University of Tennessee, Knoxville, specializing in trustworthy machine learning with a focus on security applications. With eight years of academic and industry experience—including postdoctoral work at the University of Maryland and research at UVA—he bridges rigorous research and practical ML deployment, informed by internships at AWS, Qualcomm, and Bosch. His background combines a strong academic record (PhD-level training) with hands-on applied research that tackles robustness and trust in real-world systems. Based in Charlottesville, VA, he brings interdisciplinary experience from electrical engineering through to advanced ML, often translating theoretical insights into security-focused solutions.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, 4.0/4.0, Doctor of Philosophy (PhD), Computer Science, 4.0/4.0 at Arizona State University
Bachelor of Engineering (BE), Electrical, Electronic and Communications Engineering Technology/Technician, Bachelor of Engineering (BE), Electrical, Electronic and Communications Engineering Technology/Technician at China Agricultural University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Virginia
Mongolian, Chinese, English