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

Three Post-doc Positions Available: Bayesian inference for AI, AI hardware, uncertainty quantification & photonic design automation. please check here for details.

Checklist for paper writing: I have prepared a detailed checklist to help science/engineering graduate students improving their paper writing.



We work on two topics of mathematical/computational data science: uncertainty quantification and tensor computation. We currently focus on the following application fields:

  • Design automation methodology of electronic and photonic integrated circuits (IC) under various uncertainties;

  • Algorithms and algorithm/hardware co-design of high-dimensional, safe and robust machine learning;

  • Quantum computing and the design automation aspects of quantum circuits.

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


  • [Award] 06/25/2021: I received the ACM SIGDA Outstanding New Faculty Award.

  • [Paper] 06/23/2021: Zichang's paper "High-dimensional uncertainty quantification via tensor regression with rank determination and adaptive sampling" is accepted by IEEE Trans. Components, Packaging and Manufacturing Technology.

  • [Grant] 05/05/2021: We received a medium-scale research grant "Analog EDA-Inspired Methods for Efficient and Robust Neural Network Design" from NSF. Co-PIs of this project include Prof. Tsui-Wei Weng (UCSD and IBM) and Prof. Luca Daniel (MIT), who are our long-term collaborators.

  • [Paper] 1/12/2021: Zhuotong's paper "Towards robust neural networks via close-loop control" is accepted by ICLR 2021. This is a joint work with Prof. Qianxiao Li at NUS. This paper proposed a close-loop control method to improve the robustness of neural networks against various types of uncertainties and attacks.

  • [Award] 10/07/2020: Zichang's paper "High-dimensional uncertainty quantification via active and rank-adaptive tensor regression" received the best student paper award at IEEE EPEPS 2020.

  • [Grant] 09/10/2020: We received a research grant from DOE ASCR to investigate quantum-inspired Bayesian sampling and its application in machine learning and uncertainty quantification. DOE news.

  • [Paper] 07/23/2020: Chunfeng's paper "Active Subspace of Neural Networks: Structural Analysis and Universal Attacks" is accepted for publications in SIAM Journal on Mathematics of Data Science. This is a joint work with Prof. Ivan Oseledets and his students.

  • [Award] 07/12/2020: We received a Facebook Research Award to investigate software/hardware co-design of machine learning.

  • [Award] 05/04/2020: Our paper "Stochastic collocation with non-Gaussian correlated process variations: Theory, algorithms and applications" (first author: Chunfeng Cui) received the yearly Best Journal Paper Award from IEEE Trans. Components, Packaging and Manufacturing Technology.

  • [Award] 07/27/2019: 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.


More publications...


  • 2021: ACM SIGDA Outstanding New Faculty Award.

  • 2020: Best Paper Award of IEEE Trans. on Components, Packaging and Manufacturing Technology (link to paper); Facebook Research Award; Best Student Paper Award at EPEPS (by PhD advisee Zichang He, link to paper).

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

  • 2018: Best Paper Award of IEEE Transactions on Components, Packaging and Manufacturing Technology (link to ppaer); Best Conference Paper Award at IEEE EPEPS (link to paper).

  • 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); 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)