I am deeply grateful and honored to receive the Finishing Fellowship Award from the Graduate School and the Graduate Dean’s Advisory Panel. I would also like to extend my appreciation to the Department of Electrical and Computer Engineering for their unwavering support throughout my doctoral studies.
My journey at Michigan Tech began in 2020 as a Ph.D. candidate. I had the privilege of joining Dr. Zhang’s lab in the summer of 2021. I am deeply thankful to Dr. Zhang, whose guidance and mentorship have been invaluable in shaping my academic journey and honing my critical thinking abilities. When Dr. Zhang moved to another university, I transitioned to Dr. Yang’s lab for my final project. I am also thankful to Dr. Yang for his support and guidance in completing my Ph.D. studies. Additionally, I would like to thank my research lab colleagues for their support and friendship.
My research aims to explore the evolving landscape of machine learning and artificial intelligence, focusing on areas such as domain adaptation, tiny machine learning, and model stealing. By addressing key performance, scalability, and security challenges, my work contributes to developing robust, efficient, and secure AI systems that can be applied across a wide range of applications.
In addition to my research, I have contributed as a graduate teaching assistant in the Electrical and Computer Engineering Department. I had the opportunity to work with Dr. Archer and Dr. Bergstrom to assist with lab courses, and I am grateful to them for their immense support in understanding the overall curriculum. I am grateful for the support and opportunities provided by Michigan Tech that have allowed me to explore my interests in the research field.