Dr. Longxiu Huang

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Biography

Longxiu Huang is an Assistant Professor in the Department of Computational Mathematics, Science and Engineering and the Department of Mathematics at Michigan State University. His research specializes in Data and Signal Processing, Applied Harmonic Analysis, Machine Learning, Random Matrix and Tensor Analysis, Dynamical Sampling, and Optimization. Prior to his position at Michigan State University, he served as an Assistant Adjunct Professor at the University of California, Los Angeles Department of Mathematics.

Research Interests

Data and Signal Processing Applied Harmonic Analysis Machine Learning Random Matrix Analysis Random Tensor Analysis Dynamical Sampling Optimization

Requirements for Michigan State University

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:17
Reading
Required:17
Writing
Required:17
Speaking
Required:17
Total
Required:80
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
Prerequisites
Bachelor's degree in Psychology or related field At least 15 credits in psychology courses
Application Checklist
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Specialization Notes

Department of Psychology