Mechanical Engineering- Engineering Mechanics
I am a Ph.D. candidate studying design for reliability in the Department of Mechanical Engineering-Engineering Mechanics. In Fall 2014, I came to Michigan Tech as a master student in Material Science and Engineering department, and Dr. Yu Wang was my advisor for the research regarding ferroelectric materials. I joined MEEM to pursue Ph.D. after finishing my master degree in 2016. Fortunately, I decided to work with Dr. Zequn Wang, and our research interests are mainly focused on reliability analysis, uncertainty quantification, and machine learning techniques. During the past three years, we have done lots of work for improving the efficiency and accuracy of reliability analysis, and deep learning methods have been integrated for dealing with the curse of dimensionality.
I am extremely grateful to the Graduate School for the award of Doctoral Finishing Fellowship, which ensures that I can fully devoted myself to my dissertation and complete my degree within next semester. I would like to thank the guidance from my master and Ph.D. advisors. I cannot achieve my goals without the massive support from them.