Andy Siyuan Feng
About Andy Siyuan Feng
Andy Siyuan Feng is a Graduate Teaching Assistant at The George Washington University, where he has been involved in various research projects focused on enhancing network security through AI and machine learning. He holds multiple degrees in Computer Science and Mathematics, including a PhD, and has developed algorithmic solutions for public safety and secure voting protocols.
Graduate Teaching Assistant at The George Washington University
Currently, Andy Siyuan Feng serves as a Graduate Teaching Assistant at The George Washington University, a position he has held since 2020. He has contributed to various courses, including serving as the Lead Teaching Assistant for Foundations of Computing and Discrete Structures I. His role involves supporting students in their learning and assisting faculty with course-related tasks.
Education and Expertise
Andy Siyuan Feng has an extensive academic background at The George Washington University. He earned a Doctor of Philosophy (PhD) in Computer Science from 2017 to 2022. Prior to this, he completed a Master of Science (MS) in Computer Science from 2014 to 2015 and a Master's Degree in Applied Mathematics from 2015 to 2017. He also holds a Bachelor of Arts (BA) in Mathematics and Computer Science, which he completed from 2009 to 2014.
Research Experience at The George Washington University
Andy has held multiple research positions at The George Washington University. He worked as a Graduate Research Assistant from 2015 to 2017 and again from 2018 to 2020. His research efforts included developing novel algorithmic solutions to enhance Public Safety Networks for first responders and investigating secure voting protocols. His future research plans focus on integrating AI, machine learning, deep learning, and game theory to improve the security of network and communication systems.
Background in Computer Science and Mathematics
Andy Siyuan Feng has a solid foundation in both computer science and mathematics. His academic journey began with a Bachelor of Arts in Mathematics and Computer Science, followed by advanced studies in Computer Science and Applied Mathematics. This diverse educational background supports his research interests and teaching roles, emphasizing theory and modeling beyond traditional computing applications.