This document provides a summary of Hui Zhang's qualifications for a position in research and design focusing on electromagnetics. It outlines his educational background including a PhD in theoretical physics and experience including over 5 years of research experience in optics/electromagnetics, computational modeling and simulations, proficiency in modeling tools like FEM and programming languages, and skills in data analysis. It also lists publications, teaching experience, and technical skills.

1. Hui Zhang Dept. of Elec. & Comp. Engineering
Rice University, Houston, TX 77005
Green Card (Permanent Resident of United States) yiaimer@gmail.com (347)-676-1816
OBJECTIVE
Seeking a full-time position in the field of Research & Design (electromagnetics); special interests include modeling
& simulations and data analysis.
SUMMARY
5+ years’ research experience in optics/electromagnetics and computational simulations; professional modeling in
Research & Design; proficiency in multiple modeling tools; practical experience in data analysis; skilled at For-
tran/C/Python/Matlab; strong background in mathematics & physics; a dedicated worker; a fast learner; attention to
details and being proactive; be able to possess pressure to meet deadlines and objectives.
Education & Professional Experience
09/2014–present Postdoctoral Research Associate Rice University, USA
09/2011–08/2014 Postdoctoral Research Associate Ohio University, USA
02/2011–04/2011 Visiting Scholar Oklahoma State University, USA
09/2006–07/2011 Ph.D of Theoretical Physics Institute of Physics, CHINA
GPA: 3.85/4.0
Courses: Group Theory, Numerical Methods in Modern Physics Simulations, Quantum Statistics
09/2002–07/2006 BS of Applied Physics Univ. of Sci. & Tech. of China, CHINA
GPA: 3.82/4.3
Courses: Mathematical Analysis and Modeling, Probability & Statistics, Differential Equations,
Computational Methods; Computational Methods; Theoretical Mechanics, Electrodynamics.
Skills
Modeling Technique: Finite Element Method (FEM), Finite Difference Time Domain method (FDTD),
Discrete Dipole Approximation (DDA), Boundary Element Method (BEM), Mie theory
Software: Comsol (FEM), Lumerical FDTD solutions, DDSCAT(DDA, Fortran code), MNPBEM
Computation: Fortran, C, Python, Matlab, Mathematica;
Microsoft Office; LATEX; Linux; Cluster (Slurm/PBS/SGE) scripts (Bash shell)
Physics knowledge: Electromagnetics, Wave propagation, Classical dynamics
Math knowledge: Partial differential equation, Numerical optimization, Linear algebra,
Matrix analysis, Statistics and Probability theory, Mathematical Analysis and Modeling
Data analysis: Linear/Logistic regression, neural network, K-Nearest Neighbors,
K-means clustering, Principal component analysis
Languages: Strong written and verbal communication skills in both English and Chinese
Projects & Experience
Nanostructure design & Research: Rice University, 09/2014-present
• Designed nanostructures of unique optical features using Finite Element Method, Finite Difference Time Domain
method, such as unique absorbance, optical transparency-window effect, Fano effect etc.
• Collaborated with 10+ top experimental groups on optical features for nanoparticles/nanoclusters.
• Developed a complete set of TDDFT codes (Fortran) to study optical response of nanoparticles. Multiple
numerical methods are employed (direct diagonalization and 4th order Runge-Kutta method in solving the
second order differential equation, 4th order Lorentz-Gaussian integral procedure and five-point Simpson’s rule
in the electromagnetic potential calculations).
• Developed a hybrid TDDFT code (Fortran & C) to investigate the optical features of doped semiconductors,
which consist of two types of charge carriers like doped silicon nanocrystals.
• Developed a dynamic model for clinic-used Gd(III)-NMR Contrast, Ising model and Monte Carlo simulations are
employed.

2. • Parallel Programming: electrons dynamics in metal. Solved series of time-dependent non-linear Partial differ-
ential equations (PDEs) by using parallel programming based on OpenMPI and C.
• Written shell scripts to complete calculations automatically (simulations → data analysis → plots); parallel
computation in Clusters (Slurm/PBS/SGE).
Nanoparticle Photonics Research: Ohio university, 09/2011-08/2014
• Investigated the optical features of nanostructures of chirality using DDA and FEM methods
• Improved and optimized the open source code DDSCAT (Fortran) for DDA method, acknowledged by the au-
thors in official user guide.
Ph.D study: Institute of Physics, China, 2009
• Developed a complete set of Numerical Renormalization Group (NRG) codes (Matlab) to study the strong
correlation effect in condensed matter physics.
Teaching & Mentoring:
• Taught graduate level courses (Thermal and Statistical Physics, Quantum optics) 2013, 2015
• Supervised graduate students to learn numerical methods (DDA,FEM,FDTD) 2013
• Supervised graduate students in projects of electromagnetic simulations 2014-2015
Data analysis: Rice University, 07/2015-10/2015
• Completed the course on Machine Learning by Stanford University
• Simple handwritten digits recognition and recommendation system (Matlab).
Scientific Records
Publications: 30+ peer-review papers, 745+ citations. Selected papers are:
• C. Byers, H. Zhang, D. Swearer, M. Yorulmaz, B. Hoener, D. Huang, A. Hoggard, W.-S. Shun, P. Mulvaney, E.
Ringe, N. Halas, P. Nordlander, S. Link, C. Lands. Science Advances, 1, e1500988 (2015)
• S. Gottheim∗
, H. Zhang∗
, A. Govorov, N. Halas, ACS NANO 9, 3284 (2015) (Equal contribution)
• L. Gao∗
, Y. Zhang∗
, H. Zhang∗
, S. Doshay∗
, X. Xie, H. Luo, D. Shah, Y. Shi, S. Xu, H. Fang, J.Fan, P. Nordlander,
Y. Huang, J. Rogers, ACS NANO 9,5968 (2015) (Equal contribution)
• C. Rowland, I. Fedin, H. Zhang, S. Gray, A. Govorov, D.Talapin, R. Schaller, Nature mat. 14, 484 (2015) IF:
36.425
• H. Zhang, H. Demir, A. Govorov, ACS Photonics, 1,822 (2014)
• H. Zhang, V. Kulkarni, E. Prodan, P. Nordlander, A. Gorovov, J. Phys. Chem. C 118, 16035 (2014)
• L. Weng, H. Zhang, A. Govorov, M. Ouyang, Nature Comm. 5, 4792 (2014)
• A. Kuzyk, R. Schreiber, H. Zhang, A. Govorov, T. Liedl, N. Liu, Nature mat. 13, 862 (2014) IF: 36.4
• A. Govorov, H. Zhang, V. Demir, Y. Gunko, Nano Today 9, 85 (2014) IF: 18.432
• H. Zhang, A. Govorov, Phys. Rev. B 87, 3189 (2013)
• I. Kriegel, J. Rodrguez-Fernndez, A. Wisnet, H. Zhang, C. Waurisch, A. Eychmller, A. Dubavik, A. Govorov, J.
Feldmann, ACS NANO 7, 4367 (2013)
• H. Zhang, H. Jiang, X. Xie, and Q.-f. Sun, Phys. Rev. B 83, 115402 (2011)
• H. Zhang, X. Xie, and Q.-f. Sun, Phys. Rev. B 82, 075111 (2010)
Review experience:
• Being referee for 10+ journals, including Phys. Rev. Lett., Nature Scientific Reports, ACS NANO etc.
• 35+ manuscripts reviewed.