Zehai Wang

** **** ******, ****, **, ***** 518-***-**** ac41px@r.postjobfree.com

http://www.linkedin.com/in/zehai-wang-4856787a/

SUMMARY

Aerospace engineer graduate student with over 5 years’ experience in statistics, data analysis, and modeling and optimization of mechanical systems.

Proficient: Python, R, C++, Matlab

Familiar with: Numpy, Pandas, SQL, Shell, SPSS

Coursework: Machine Learning, Nonlinear Programming and Optimization, Computational Linear Algebra, Database and SQL

EXPERIENCE

Machine Learning modeling Coursera

Online course Jan.2018 – Mar.2017

• Applied neural network algorithm for hand-written postal code recognition

• Applied K-mean algorithm for image compression

Big Data analysis for new fracture risk-assessment tool RPI, Troy, NY Research Assistant June.2017 – Sept.2017

With access to OptmumLab’s database of 150 million deidentified patients, to identify risk factor associated with fracture in type II diabetes. The preliminary project is completed together with Dr. A Poundarik.

• Applied spearman’s rank test to show positive correlation two year HbA1c value observation and fracture rate in R

• Used survival curves to assess the fracture rate of different cohorts of glycemic control Data analysis of bone FEM modeling RPI, Troy, NY

Research Assistant May.2016 – Mar. 2017

• Wrote a Python code for periodical boundary condition implementation in ABAQUS

• Processed the output-database (ODB) for over 100 heterogeneous model replicas in Python, to analysis effect of modulus coefficient of variation on fracture toughness Genetic Algorithm (GA) in composite wing design Beijing, China Structural Engineer Sep.2013 - Mar.2014

EDUCATION

Rensselaer Polytechnic Institute (RPI) Troy, NY

Ph.D. in Aeronautical Engineering Dec.2018 (Expected) M.S. in Applied Mathematics (GPA: 3.78) May.2018 (Expected) Beihang University (BUAA) Beijing, China

M.S. in Aerospace Design (GPA: 3.78) Mar.2014

Tongji University Shanghai, China

B.S. in Aircraft Manufacturing Engineering Jul.2011

• Developed an innovative Genetic Algorithm for a mixed discrete-continuous variable optimization problem of composite wing lay-up design

• Implemented the genetic algorithm with ABAQUS structure simulation in Python

• Performed the parametric study on adaptive mutation rate that increases converge rate by more than 50%

PATENT

• J. Meng, Z. Wang, X. Che, N. Xiong, B. Hu. Flutter Wing Wind-Power Generation Device, Patent CN 103715857 A, 2014.

PRESENTATIONS

• Z. Wang, D. Vashishth, R.C. Picu. Micro-mechanism and Multiscale Modeling of Diffuse Damage in Bone, Society of Engineering Symposium 53th annual technical meeting, College Park, MD, 2016.

• Z. Wang, G. Tao. M. Lv. An in-situ Testing Platform for Large, High-Altitude Propeller, 9th Academic Forum of Beihang University, Beijing, China, 2012. PUBLICATIONS

• Z. Wang, D. Vashishth, R.C. Picu. Bone Toughening through Stress-Induced Non-Collagenous Protein Denaturation. Biomechanics and Modeling in Mechanobilogy, 2017

(Under Review)

• Z. Wang, D. Vashishth, R.C. Picu. Transformation Toughening in the Presence of Elastic Heterogeneity with Application to Bone, International Journal of Solid and Structures, 2017

(Under review)

• Z. Wang, M. Lv, J. Meng, and G. Tao. Numerical Simulation of a High-Aspect-Ratio Wing Using High Fidelity Aero-Structural Coupled Method. Applied Mechanics and Materials, vol. 465, pp. 352-357, 2014.

ORGNIZATIONS

• American Society of Mechanical Engineers (ASME)

• Society of Engineering Science (SES)

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