I am Zelin Wan (万泽林 in Chinese), a Ph.D. candidate at Virginia Tech's Computer Science Department, working in the Trustworthy Cyberspace Lab (tClab) specializing in deep learning, game theory, cybersecurity, and network science. My academic foundation was laid with a B.S. in Computer Science and a minor in Mathematics from the University of Arizona in 2019, followed by an M.S. in Computer Science from Virginia Tech in 2021.
My research, recognized by the nomination for the Joseph Frank Hunkler Memorial Scholarship and the College of Engineering Graduate Student Publication Fellowship, has been published in prominent IEEE Journals/Conferences and ACM Conferences. These works primarily focus on projects funded by the U.S. Army Research Office. Additionally, my professional experience includes internships at ByteDance and Intelligent Fusion Technology, where I applied advanced machine learning techniques to recommendation systems and AI-driven military aircraft maintenance solutions.
As an ACM member, I am committed to contributing to the academic community. My research interests include machine/deep learning in reinforcement learning and computer vision, explainable AI, transfer learning, human-machine teaming, game theory, cybersecurity, and network science.
I am keen on collaborating and exploring new opportunities that challenge and broaden my horizons in the ever-evolving field of technology. Let's connect and explore the future of technology together!