Xu Chen's Home Page

Welcome to my website! Updates:   1.Our paper "Sparse massive MIMO channel estimation with 1-bit feedback" got the best paper award in 2017 WCNC.   2.Our paper "Capacity of Gaussian many-access channel" is directly accepted to IEEE Trans. Inf. Theory.   3.We recently demonstrated world's first radar system based on 77 GHz CMOS milimeter-wave chip.

xu pic

Xu Chen
Wireless System Engineer at Apple
Co-Founder of Calterah

Department of Electrical Engineering & Computer Science
McCormick School of Engineering and Applied Science
Northwestern University

Email: chenx@u.northwestern.edu
Tel: 847-387-7982



Xu Chen obtained his Ph.D. degree from Northwestern University. He received his B.E. degree in Electronics Engineering from Zhongshan (Sun Yat-sen) University in 2007 and his M.S. degree in Electrical and Computer Engineering from Purdue University, West Lafayette in 2009. From 2009 to 2011, he was a research associate in the Hong Kong Polytechnic University, working in the project of cooperative communication and the application of LDPC decoding in 100 Gb/s optical communications. He was a research intern at Nokia Research Center, Berkeley from June to September in 2012. He was a visiting student at Massachusetts Institute of Technology (MIT) from February to March in 2015.

Xu Chen received the best paper award in WCNC 2017, the outstanding paper award in International Conference on Advanced Communication Technology (ICACT) 2013, and the best paper award in International Conference on Advanced Technologies for Communications 2011. He is also the recipient of the Walter P. Murphy Fellowship for 2011-2012. His research interests include information theory, coding theory and compressed sensing. His current focus is on Internet of Things (IoT), building the mathematical model, studying the fundametal limit and designing practical algorithms.

Xu Chen is currently a senior engineer at Apple. Prior to that, he was the Co-Founder of Calterah, a startup building the CMOS milemeter-wave radar chip. The startup has raised the Series A funding from a top tier venture capital. His responsibility was to design and implement the MIMO radar algorithms for localization, radar imaging and pattern recognition.



Book Chapters

Journal Papers

Conference Papers


Graduate Courses

@ Purdue University
Digital Communication, Digital Signal Processing, Random Variables and Stochastic Process, Wireless Communication Network, Detection and Estimation Theory, Real Analysis, Measure Theory, Convex Optimization and Large Deviation, Algorithm Analysis

@ Northwestern University
Computer Vision, Machine Learning, Algorithm Mechanism Design, Adaptive Filters, Large Scale Optimization, Advanced Queueing Theory, Information Theory, Stochastic Model, Probability Theory, Complex Analysis