Zheng Zhang's Homepage

Assistant Professor [IEEE-Style Short Biography, Full CV (PDF)]
Deptatment of Electrical & Computer Engineering, University of California, Santa Barbara (UCSB)
Deptartment of Computer Science (joint appointment), UCSB

Department of Mathematics, (joint appointment, effective in 07/2019), UCSB
Ph.D, Massachusetts Institute of Technology
M.Phil, The University of Hong Kong
B. Eng, Huazhong University of Science & Technology
Email: zhengzhang [AT] ece [dot] ucsb [dot] edu Phone: 805-893-7294
Address: 4109 Harold Frank Hall, University of California, Santa Barbara, CA 93106

!!!!!!NEW Postdoc Openings available, please check here for details.



I am highly interested in two areas of mathematical/computational data sciences and their applications:

  • Uncertainty quantification, with applications to design automation of nano-scale IC/photonics, and autonomous systems;

  • Tensor computation, with applications to the algorithm/hardware co-design of high-volume data analysis and machine learning.

Our research is supported by both government funding agencies (e.g., NSF) and industries (e.g., Samsung, Xilinx and NVIDIA).


  • [Award] 07/27/2019: Our postdoc Chunfeng Cui is selected as a Rising Star in EECS (Electrical Engineering and Computer Science). She will attend the Rising Stars workshop at University of Illinois, Urbana-Champaign.

  • [Paper] 06/04/2019: Two papers got accepted by ICCAD 2019 (acceptance rate: 23.8%). One is Zichang He's paper "Efficient uncertainty modeling for system design via mixed integer programming", which is a joint work with Weilong Cui and Prof. Tim Sherwhood. The second one "Tucker tensor decomposition on FPGA" is authored by Kaiqi Zhang and Xiyuan Zhang (undergraduate researcher).

  • [Paper] 06/03/2019: Chunfeng's paper "High-dimensional uncertainty quantification of electronic and photonic IC with non-Gaussian correlated process variations" is accepted by IEEE Trans. CAD of Integrated Circuits and Systems.

  • [Award] 04/03/2019: I received the NSF CAREER Award.

  • [Award] 02/14/2019: Our postdoc scholar Chunfeng Cui is selected as one of the "Rising Stars in Computational and Data Sciences". She will attend the Rising Stars workshop at the Institute of Computational Engineering and Sciences at the University of Texas, Austin, on April 9-10  of 2019.

  • [Paper] 12/31/2018: A paper by Jiali Luan (former undergraduate researcher), "Prediction of multi-dimensional spatial variation data via Bayesian tensor completion", is accepted by IEEE Trans. CAD of Integrated Circuits and Systems.

  • [Paper] 12/16/2018: Chunfeng's paper "Stochastic collocation with non-Gaussian correlated process variations: Theory, algorithms and applications" has been accepted by IEEE Trans. Components Packaging and Manufacturing Technology.

  • [Codes] 12/06/2018: We have released some prototyping Matlab codes of stochastic collocation with non-Gaussian correlated uncertainties. Link to the codes. Link to the paper.

  • [Award] 10/17/2018: Chunfeng Cui (postdoc), Max Gershman (undergraduate) and I received the Best Paper Award at the 22nd EPEPS held in San Jose, CA. Link to the paper.


  • 2019: NSF CAREER Award; Rising Stars in Computational and Data Sciences (by postdoc advisee Dr. Chunfeng Cui); Rising Stars in EECS (by postdoc advisee Chunfeng Cui).

  • 2018: Best Paper Award of IEEE Transactions on Components, Packaging and Manufacturing Technology; Best Conference Paper Award at IEEE EPEPS.

  • 2016: ACM Outstanding PhD Dissertation Award in Electronic Design Automation (link); Best Paper Award at International Workshop on Signal and Power Integrity.

  • 2015: MIT Microsystems Technology Labs (MTL) Doctoral Dissertation Seminar Award (link).

  • 2014: Donald O. Pederson Best Paper Award of IEEE Transactions on CAD of Integrated Circuits and Systems ( link); Chinese Government Award for Outstanding Graduate Students Abroad (link to the news); Best Paper Nomination at IEEE CICC.

  • 2011: Li Ka-Shing Prize (best M.Phil/Ph.D thesis award) from the University of Hong Kong (link); best paper nominations at ICCAD2011 and ASP-DAC2011.


  • Associate Editor: ACM SIGDA Newsletters (2018-2019);

  • TPC Member: ICCAD (2016-2018), DAC (2017, 2018);

  • Award Committee: ACM SIGDA Best Dissertation Award Committee (2018), DAC Best Paper Award Committee (2018), ICCAD Best Paper Award Committee (2018)


More publications...