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 Zheng Zhang's Homepage


Associate 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
Education
Ph.D in EECS, Massachusetts Institute of Technology
M.Phil in EE, The University of Hong Kong
B. Eng in EE, Huazhong University of Science & Technology
Contact
Email: zhengzhang [AT] ece [dot] ucsb [dot] edu Phone: 805-893-7294
Address: 4109 Harold Frank Hall, University of California, Santa Barbara, CA 93106

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

To prospective PhD students: Please read this document if you are thinking about pursuing a PhD degree. The skill sets required for PhD research are very different from those required for undergraduate study. In undergraduate study, a student learns existing knowledge that were created by others (probably a few hundred years ago). A PhD student is expected to create new knowledge. A student doesn't have to be super smart or to have a perfect GPA in order to be an excellent PhD student, but he/she may need to be self-motivated for scientific research, curious about unknown/new fields, open-minded to different opinions, and persistent when facing research challenges (or even failures).

 


RESEARCH INTERESTS

We work at the intersection of computational data science (e.g., uncertainty quantification, tensor computation, scientific machine learning) and hardware systems. Currently we focus on two broad directions:

  • Design automation: (1) uncertainty-aware design automation for electronics, photonics, and quantum circuits; (2) small-data and data-free scientific machine learning for multi-physics design of 3D IC and chiplet.

  • Responsible AI systems: (1) tensor-compressed methods for sustainable training of large AI models (e.g., foundation models) and for resource-constraint on-device learning; (2) self-healing machine learning systems.

Our research is supported by both government funding agencies (e.g., NSF, DOE) and industries (e.g., Meta, Intel, Amazon and Samsung). We are actively collaborating with industrial research teams (e.g., Meta, Intel, Cadence, HP, Amazon, and NVIDIA) to make practical impact.


RECENT NEWS:

  • [PhD defense] 08/07/2023: Zichang He finished his thesis defense, and he has joined JP Morgan to work on quantum computing. Congratulations!

  • [Faculty job] 07/31/2023: Our postdoc associate Zi Yang has joined SUNY Albany (State University of New York at Albany) as an Assistant Professor of Mathematics and Data Science. Congratulations, Zi!

  • [Paper] 10/04/2022: Zhuotong's journal paper "Self-healing robust neural networks via closed-loop control"is accepted by the Journal of Machine Learning Research.

 


SELECTED PUBLICATIONS

More publications...


ACADEMIC AWARDS

  • 2022: Meta Research Award.

  • 2021: ACM SIGDA Outstanding New Faculty Award (link); IEEE CEDA Ernest S. Kuh Early Career Award (link).

  • 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.


ACADEMIC SERVICES

  • 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)