About Me
Hey!
I am an algorithm developer at Applied Materials AIx. Before working at Applied, I did my Ph.D. study in the Electrical Engineering and Computer Sciences Department at UC Berkeley. My name in Chinese is 胡笑尔.
My Ph.D. research thesis is Micro-Electro-Mechanical Relay Technology for Beyond-Von-Neumann Computer Architectures. My research is focused on novel applications of MEM relays for facilitating new computer architectures that can be much more efficient than the classic von Neumann architecture, which can keep pace with the energy efficiency and performance requirements due to the proliferation of Big Data and machine learning. My Ph.D. advisor is professor Tsu-Jae King Liu.
I did my internship at Applied Materials in summer 2020, where I worked on implementing both semi-supervised deep learning methods with different neural networks, and unsupervised learning methods, to effectively detect real-time anomalies for multivariate time series data during microchips fabrication processes.
I did my M.S. at UC Berkeley, advised by professor Vivek Subramanian. I studied the printed electronic devices on flexible substrates with low-cost and large-area. Specifically, I did a systematic study on how the cell features impact the ink filling process for gravure printing.
I studied Materials Science and Engineering at University of Michigan, and graduated with the highest cumulative GPA in the department in 2017. During my undergraduate studies at UM, I worked with professor Stephen Forrest on organic optoelectronic devices such as blue phosphorescent organic light emitting diodes (PHOLED) and heterojunction photodetectors. I also worked with Dr. Kai Sun at the Michigan Center for Materials Characterization, where I gained rich experience on transmission electron microscopy (TEM). My capstone design project is "Eye Disease Simulator". I also graduated in 2017 from Shanghai Jiao Tong University, China, where I studied Electrical and Computer Engineering. My capstone design project is "Joystick with 6-DOF Motion Tracking Function", under the advise of professor Yunlong Guo and Amy Hortop.