The following excerpt from Becoming Steve Jobs by Brent Schlender and Rick Tetzeli partially reflects my life philosophy:
Gates knew that his aesthetic taste couldn’t compare with Steve’s. “He wanted his products to be the best,” Gates said, “He always observed things with a designer’s perspective. When I walk into a hotel, I would never think, ‘This nightstand is too ugly; it should be designed like this.’ When I look at a car, I don’t think, ‘If I were the designer, I would do it this way or that way.’ But people like Jony Ive and Steve always view everything with a designer’s eye. Only when I look at code do I think, ‘This is designed pretty well.’ So, the way I see the world is completely different from Steve. He had an innate sense of aesthetics, capable of immediately judging whether an object met the standard and how it was designed.” The senior executive team of Steve thought rightly: Microsoft and Apple had entirely different standards for what is considered acceptable design, not to mention outstanding design.
The following excerpt from The Working Methods by Inamori Kazuo （干法-稻盛和夫） partially reflects my work philosophy:
The purpose of work is to elevate one’s spirit and will — that’s my view. Elevating one’s spirit is an extremely challenging task. Some monks, despite undergoing long periods of rigorous training, might not achieve it. Yet, hidden within work is the immense power to achieve this goal. This is the true significance of work. Working diligently day after day can have a remarkable effect on honing our spirit and elevating our humanity.
As a sidenote, Inamori’s claim partially coincides with the concept of Flow in positive psychology by Mihaly Csikszentmihalyi.
Download my resumé.
PhD in Computer Science, 2021-
MS in Artificial Intelligence, 2019-2021
BSc in Physics, 2013-2017
Univeristy of Wisconsin Madison
Multiple Processor System-on-Chip (MPSoC) has become ubiquitous. Albeit powerful, the complex interaction between various components pose a threat to tasks that require strict timeliness behaviors (a.k.a hard real-time tasks). The timeliness has to be met to prevent distrastrous consequences. For example, the deployment of the safety air bag on cars has to be just in time. Too late or too early would invalid such systems. In fact, hard real-time tasks exist for many industries, automotive, avionic, home appliances, medical, telecommunication, aerospace and military applications. Our vision is to develop a system capable of being self-aware of the time progress of running applications, so that regulation strategies can be effective applied dynamically, to truly unleash the power of modern computing platforms.
Magnetic Resonance Imaging (MRI) generates a huge volume of data reflecting brain structure. I worked closely with the research group, and developed various machine learning frameworks to analyze the data. I also mentored other undergraduates who take an interest in both machine learning and brain imaging.
Machine Learning | Embedded System