Hao Zhuang

a.k.a Howard
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Hao Zhuang
Ph.D. in Computer Science
University of California, San Diego, CA, USA.
e-mail: hao.zhuang [at] cs.ucsd.edu
google scholar, dblp, github, wordpress, twitter.

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About Me

Since June 2015, I am an ANSYS Apache Software Engineer, building scalable computation infrastructure, machine learning systems, big data applications, and matrix computation algorithms in the current market leading software platform, which conducts large-scale dynamical network simulation, analysis and verification for making successful tape-outs of modern low power CPU, GPU, and ASIC (Those chips are used by different purposes of computing, such as general logic operations, deep learning, big data processing, data center traffic, etc). It is my privilege to work with the R&D teams consist of legends in the area of design automation algorithms, such as the forerunner and researchers of AWE, the creators of MIT FastCap, CMU PRIMA, UT RICE, Synopsys PrimeTime and Apache Redhawk.

In general, I am highly interested in computational mathematics, numerical algorithms, optimization, language & signal processing, dynamical systems (including circuit network, and deep neural network), edtech, high-performance computing for data processing and machine intelligence (software and hardware). I got Ph.D. degree in Computer Science from University of California, San Deigo, CA, USA (UCSD). My graduate research included numerical algorithms, matrix computation, and stochastic field solvers for the analysis of large-scale dynamical systems in the field of computer-aided design and design automation for building computer chips (FYI, "AI has been applied to the design of computer chips, and in fact was one of the first applications of AI.").

Selected Publications [full list] [my citations]

Selected Patent [full list]

Honors

  • Qualcomm FMA Fellowship (2013-2014): one of the four recipients [award].

  • Prestigious Charles Lee Powell Fellowship (2012-2015): for supporting outstanding PhD engineering students.

  • Peking University Wu-Si Scholarship (2011).

Industrial/R&D Lab Experience [details]

Academic Experience [details]

Services

  • IEEE student memeber since 2011.

  • ACM student memeber since 2014.

  • SIAM student memeber since 2014.

  • External reviewer, ACM/IEEE Design Automation Conference (DAC).

  • External reviewer, ACM/IEEE International Symposium on Physical Design (ISPD).

  • Subreviewer, IEEE Very Large Scale Integration and Systems-on-Chip (VLSI-SoC).

  • External reviewer, ACM/IEEE International Conference on Computer Aided Design (ICCAD).

  • Reviewer, IEEE Transaction on Computer Aided Design (TCAD).

  • Reviewer, Integration, the Journal of VLSI.

Selected Talks [full list]

  • “Matrix Exponential Integration in Time-Domain Analysis of Circuit Simulation,” at Department of Electrical and Electronics Engineering, The University of Hong Kong, Hong Kong, Oct. 2015

  • “Algorithms for Dynamic Power Grid Simulation Using Matrix Exponentials,” at Ansys Inc., San Jose, Sept. 2015.

Teaching

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