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Wenxiu Hu
614 Holleman Drive East Unit#156-A, College Station, TX, 77840
Cell: 8324512439, E-mail: whu8@tamu.edu
Education
Texas A&M University College Station, Texas, United States
Master of Science: Electrical Engineering (3.75 GPA) Aug 2018-present
Related Coursework: Convex Optimization, Pattern Recognition, Data Mining, Information and Distribution Theory
Louisiana State University Baton Rouge, Louisiana, United States
Bachelor of Science: Computer Engineering (3.5 GPA), Minor in Computer Science Aug 2014-May 2018
Related Coursework: Advanced Data Structure and Algorithms, Operating Systems, Linear Algebra, Discrete Math,
3D Modeling, Microprocessor Systems, Computer Organization, Computer Architecture, Digital Design using HDLs
Research Experience
Department of ECEN, Texas A&M University Advisor: Tie Liu Aug 2019-May 2020
 Design, train and validate an encoder-decoder deep recurrent neural network with attention mechanism, which is
able to generate a powerful representation of a sequence of distinct integers for further optimization step
 Design, train and validate a performance predictor and an optimizer, which are able to work with the autoencoder
to help solve submodular maximization problem using Tensorflow/Keras in Python
Work Experience
Department of Engineering Technology and Industrial Distribution, Texas A&M University July 2019-May 2020
Student Technician
 Design, develop and assemble new versions of programming logic controller with sensor module using EAGLE
Center for Academic Success, Louisiana State University Jan 2017-May 2018
CAS Tutor
 Gave early intervention support to students just beginning to struggle with course materials
 Devised unique lessons to fit individual needs in skill building and full instruction on each subject
 Subjects: programming projects in C++/Java/Python, EE fundamentals, Multi-dimensional Calculus and more
Project
Gene expression classifiers design (Pattern recognition)
 Applied feature selection technique to a gene expression data set in breast tumor biopsies from cancer study
 Designed classifiers that are able to best discriminate two prognosis classes on training data and performed
error estimation to obtain resubstitution/test-set error ≤ 0.25 for each class using Scikit-learn in Python
Image processing with micrographs (Neural network)
 Used pre-trained VGG16 convolutional neural network to extract image features from CMU-UHCS dataset
 Developed a radial basis function nonlinear SVM classification rule to classify micrographs based on primary
microconstituent and obtained test-set error ≤ 0.094 for both pairwise and multi-class classifiers using Python
Eye Gaze tracking GUI design & Arduino Mega programming (Senior Design)
 Designed a GUI for cerebral palsy customer to shoot a basketball only using his eyes (Unity software, C#)
 Developed programs in Arduino IDE to make GUI work with catapult mechanism and other electronics
Multi-level feedback queue scheduler simulation (Operating System)
 Simulated a three-level feedback queue scheduler using (preemptive) round robin CPU scheduling algorithm
with pre-written queue package in C language
Elevator controlling system design (HDL design)
 Successfully conducted RTL schematic design for a 4-floor level elevator controlling system in Verilog HDL
 Created testbench to test Verilog module, observed and compared outputs in timing diagram using ISim
Core Qualifications
Languages: C, C++, C#, Python, Verilog, ARM, MIPS Assembly
Software libraries: Numpy, Pandas, Keras, TensorFlow
Applications: Xcode, Linux, Jupyter Notebook, Matlab, Unity, Arduino IDE, Xilinx ISE Simulator (ISim), EAGLE,
OrCAD PSpice, Keil 𝝁Vision, NI LabView, CAD VLSI Design tool, ModelSim
Foreign language: Mandarin, fluent
Activities and Honors
Alpha Lambda Delta National Academic Honor Society member // Dean’s List at LSU (December 2014,
May 2015, Spring 2017) // CRLA Certified Tutor, Level 1 Reward at Middleton Library

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Wenxiu Hu - Resume

  • 1. Wenxiu Hu 614 Holleman Drive East Unit#156-A, College Station, TX, 77840 Cell: 8324512439, E-mail: whu8@tamu.edu Education Texas A&M University College Station, Texas, United States Master of Science: Electrical Engineering (3.75 GPA) Aug 2018-present Related Coursework: Convex Optimization, Pattern Recognition, Data Mining, Information and Distribution Theory Louisiana State University Baton Rouge, Louisiana, United States Bachelor of Science: Computer Engineering (3.5 GPA), Minor in Computer Science Aug 2014-May 2018 Related Coursework: Advanced Data Structure and Algorithms, Operating Systems, Linear Algebra, Discrete Math, 3D Modeling, Microprocessor Systems, Computer Organization, Computer Architecture, Digital Design using HDLs Research Experience Department of ECEN, Texas A&M University Advisor: Tie Liu Aug 2019-May 2020  Design, train and validate an encoder-decoder deep recurrent neural network with attention mechanism, which is able to generate a powerful representation of a sequence of distinct integers for further optimization step  Design, train and validate a performance predictor and an optimizer, which are able to work with the autoencoder to help solve submodular maximization problem using Tensorflow/Keras in Python Work Experience Department of Engineering Technology and Industrial Distribution, Texas A&M University July 2019-May 2020 Student Technician  Design, develop and assemble new versions of programming logic controller with sensor module using EAGLE Center for Academic Success, Louisiana State University Jan 2017-May 2018 CAS Tutor  Gave early intervention support to students just beginning to struggle with course materials  Devised unique lessons to fit individual needs in skill building and full instruction on each subject  Subjects: programming projects in C++/Java/Python, EE fundamentals, Multi-dimensional Calculus and more Project Gene expression classifiers design (Pattern recognition)  Applied feature selection technique to a gene expression data set in breast tumor biopsies from cancer study  Designed classifiers that are able to best discriminate two prognosis classes on training data and performed error estimation to obtain resubstitution/test-set error ≤ 0.25 for each class using Scikit-learn in Python Image processing with micrographs (Neural network)  Used pre-trained VGG16 convolutional neural network to extract image features from CMU-UHCS dataset  Developed a radial basis function nonlinear SVM classification rule to classify micrographs based on primary microconstituent and obtained test-set error ≤ 0.094 for both pairwise and multi-class classifiers using Python Eye Gaze tracking GUI design & Arduino Mega programming (Senior Design)  Designed a GUI for cerebral palsy customer to shoot a basketball only using his eyes (Unity software, C#)  Developed programs in Arduino IDE to make GUI work with catapult mechanism and other electronics Multi-level feedback queue scheduler simulation (Operating System)  Simulated a three-level feedback queue scheduler using (preemptive) round robin CPU scheduling algorithm with pre-written queue package in C language Elevator controlling system design (HDL design)  Successfully conducted RTL schematic design for a 4-floor level elevator controlling system in Verilog HDL  Created testbench to test Verilog module, observed and compared outputs in timing diagram using ISim Core Qualifications Languages: C, C++, C#, Python, Verilog, ARM, MIPS Assembly Software libraries: Numpy, Pandas, Keras, TensorFlow Applications: Xcode, Linux, Jupyter Notebook, Matlab, Unity, Arduino IDE, Xilinx ISE Simulator (ISim), EAGLE, OrCAD PSpice, Keil 𝝁Vision, NI LabView, CAD VLSI Design tool, ModelSim Foreign language: Mandarin, fluent Activities and Honors Alpha Lambda Delta National Academic Honor Society member // Dean’s List at LSU (December 2014, May 2015, Spring 2017) // CRLA Certified Tutor, Level 1 Reward at Middleton Library