About Me

I am an assistant professor with the Department of Electrical Engineering, The Pennsylvania State University. From 2016 to 2020, I was a post-doctoral researcher with the School of Industrial Engineering, Purdue University. I received my Ph.D. degree in Electronic and Computer Engineering from the Hong Kong University of Science and Technology in 2016.

My research focuses on nonlinear optimization algorithms and statistical learning, with an emphasis in decentralized methods over networks.

Working Experience

• 2016-2020, Postdoctoral researcher, School of Industrial Engineering, Purdue University.

  • Advisor: Gesualdo Scutari.

  • Research Topics: Distributed Algorithms, statistical machine learning.

Education

• 2016, Ph.D., Electronic and Computer Engineering, The Hong Kong University of Science and Technology (HKUST).

  • Advisor: Daniel P. Palomar.

  • Thesis: Majorization-Minimization Algorithm and Its Application in Covariance Matrix Estimation.

• 2016, visiting Ph.D. student, School of Industrial Engineering, Purdue University.

  • Advisor: Gesualdo Scutari.

  • Research Project: Distributed Algorithms.

• 2011, B.Eng., Electronic and Information Engineering, Huazhong University of Science and Technology.

Awards and Honors

• 2020 Young Author Best Paper Award by IEEE Signal Processing Society.

• Best Student Paper Award (co-recipient) at IEEE CAMSAP 2017.

Teaching

• Teaching assistant, ELEC 6910J, Error Control Coding, HKUST, Spring, 2013.

• Teaching assistant, ELEC 5470, Convex Optimization, HKUST, Fall, 2014.

• Teaching assistant, ELEC 2200, Digital Circuits and Systems, HKUST.

• Teaching assistant, ELEC 3100, Signal Processing and Communications, HKUST