zhao headshot

I received my B.Sc. and M.S. degrees in Electronic Engineering from the University of Electronic Science and Technology of China, Chengdu, China, in 2006 and 2009, respectively. I received my Ph.D. degree in Computer Engineering from the University of Nebraska-Lincoln, Lincoln, NE, in 2019, under the guidance of Mehmet C. Vuran. Currently, I work as a postdoctoral research associate at the Department of Electrical and Computer Engineering of Rice University, advised by Santiago Segarra. 

Before pursuing the PhD degree, I was awarded the national first class prize in the National Undergraduate Electronic Design Contest in 2005. From 2009 to 2013, I worked as an engineer for ArrayComm and Ericsson, respectively, developing digital signal processing software and radio frequency test automation systems for 4th-generation (4G) cellular base-stations. My work at UESTC and Ericsson have been awarded two patents, respectively. 

My recent research was published in the leading journals and conferences in the areas of wireless systems and machine learning, such as IEEE Transactions on Wireless Communications, IEEE Journal on Selected Areas in Communications, The International Conference on Learning Representations (ICLR), and IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 

Being a member of IEEE, IEEE communications society and IEEE signal processing society. I chaired/co-chaired two sessions in IEEE ICASSP in 2022 and 2023, respectively. I served as Technical Program Committee Member, IEEE Vehicular Technology Conference 2020-Fall; served as reviewer for a number of journals and conferences in the area of wireless communications and networking, signal processing, and machine learning.

I enjoy my research area. A tenure-track faculty position can offer me the maximum flexibility and freedom to explore all the possibilities and opportunities to impact different disciplines and industries and shape the future of technologies. In addition, TT faculty position allow me to work and collaborate with talents from various backgrounds, which is always enjoyable.

As a Future Faculty Fellow, I look forwarding to becoming well-informed about the whole process of the hiring and application for tenure-track faculty position, so that I can prepare myself in the right way. I also look forward to honest feedback on my application documents, strategy, and mock interview, so that I can diagnose the problems in my preparation and the performance.



Research Areas

Machine learning and signal processing for wireless communications and networking, Graph-based machine learning, networked and distributed systems.


Changes or additions to profiles.rice.edu will not take effect on the Rice sub-sites until after its next refresh which occurs at 5:15am, 10:15am, 1:15pm, 4:15pm and 7:15pm daily. (This does not affect profiles.rice.edu)