Duy H. Thai

Curriculum Vitæ

H +1-919-***-****

B adgwsc@r.postjobfree.com

Õ stat.duke.edu/ dht11/

Personal Information

Nationality Vietnamese - U.S. permanent resident (Green card) Place of Birth Ho Chi Minh city, Vietnam

Date of Birth 16th of February 1985

Scientific interest Convex/non-convex optimization, harmonic analysis, functional analysis, partial di erential equations, stochastic processes, extreme value theory and change point problems in the applications of signal/image processing, di erential geometry, manifold and machine learning.

Education

August. 2019–present Postdoctoral fellow at Department of Mathematics at Colorado State University,USA.

August. 2017–2019 Postdoctoral fellow at Department of Statistical Science at Duke Univer- sity,USA.

Research Programs Bayesian Sub-Manifold Learning and Stochastic Dynamical Systems Supervisor Profs. David Dunson and Sayan Mukherjee August. 2015–August.

2017

Postdoctoral fellow at Department of Statistical Science at Duke Uni- versity and the Statistical and Applied Mathematical Science Institute

(SAMSI),USA.

Research Programs Program on Statistics and Applied Mathematics in Forensic Science and program on Challenges in Computational Neuroscience

Supervisor Profs. David Banks (Duke), Len Stefanski (NCSU) and Richard Smith (UNC) Sep. 2011–Jan.2015 PhD at Department of Mathematics and Computer Science, University of G ottingen,Germany.

Member of the DFG Graduate Program 1023 Identification in Mathematical Models Thesis Fourier and Variational Based Approaches for Fingerprint Segmentation Supervisor Prof. Dr. Axel Munk and Prof. Dr. Preda Mih ailescu Sep. 2009–Jun. 2011 MSc in Bio-Mechatronics Engineering (GPA: 4.31/4.5), Sungkyunkwan University,Korea.

Thesis Human Iris Recognition

Supervisor Prof. Dr. Heon Hwang

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Sep. 2003–Feb. 2008 Bachelor (four and half year degree) in Automation (in Honors program), Faculty of Electrical - Electronics of Ho Chi Minh City University of Technology, Vietnam.

Thesis Computer vision in controlling the movement of a robot (in Vietnamese) Supervisor Assoc. Prof. Dr. Nguyen Phuong Ha

Research Experience

8.2015– Postdoctoral fellow, Department of Statistical Science at Duke university and SAMSI, USA.

[1] Program on Statistics and Applied Mathematics in Forensic Science

[2] Program on Challenges in Computational Neuroscience 9.2011–5.2015 Research Assistant in Institute for Mathematical Stochastics, University of Goettin- gen,Germany.

[1] Fourier and Variational Based Approaches for Fingerprint Segmentation (thesis) 9.2009–9.2011 Research Assistant in Robotics and Vision lab, Sungkyunkwan University,Korea.

[1] Human iris recognition (thesis)

[2] Development of a color computer vision for grading the quality of chicken carcasses

[3] Development of color computer vision systems for auto-grading the quality of beef carcasses

[4] Development of contact angle measuring system for hydrophilic performance evaluation 2.2008–9.2009 Researcher in Automation lab, Ho Chi Minh City University of Transport,Vietnam.

[1] Research on Development of Vision for Robot System

[2] Master’s student in Electrical & Electronics Engineering, Ho Chi Minh University of Technology, Vietnam (not finished)

[3] Teaching Assistant in programming language (including: C++, MATLAB) 9.2003–2.2008 Undergraduate student, Ho Chi Minh City University of Technology,Vietnam.

[1] Computer vision in controlling the movement of a robot (thesis) Journal Articles - PhD thesis

[14] D.H. Thai and D.B. Dunson. Accelerated-Nonsmooth Langevin Dynamics. (in preparation).

[13] D.H. Thai, K. McGo and S. Mukherjee. Partial Factor Modeling for Stochastic Dynamical Systems. (in preparation).

[12] R. Richter, D.H. Thai and S.F. Huckemann. Fixpoints for Learned Generalized Intersection Algorithms with Example of Cartoon-Residual Image Decomposition. (in preparation).

[11] R. Richter, D.H. Thai, C. Gottschlich and S.F. Huckemann. Filter Design For Image Decomposition and Applications to Forensics Book Chapter. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2020.

[10] D.H. Thai, H.T-Wu and D.B. Dunson. Locally Convex Kernel Mixtures: Bayesian Subspace Learning. International Conference On Machine Learning and Applications, Boca Raton, Florida, USA, 2019.

[9] D.H. Thai and D. Banks. Directional Mean Curvature for Textural Image Deconvolution and Decomposition. (minor revision to Journal of Fourier Analysis and Applications) https://arxiv.org/pdf/1611.08625.pdf

[8] R. Richter, C. Gottschlich, D.H. Thai and S. Huckermann. Smudge Noise for Quality Estimation of Fingerprints and Its Validation. IEEE Transactions on Information Forensics & Security, 2019. 2/11

[7] D.H. Thai and L. Mentch. Multiphase Segmentation For Simultaneously Homogeneous and Textural Images. Applied Mathematics and Computation, 335(2018):146-181, October 2018.

[6] D.H. Thai and C. Gottschlich. Simultaneous Inpainting and Denoising by Directional Global Three-part Decomposition: Connecting Variational and Fourier Domain Based Image Processing. Royal Society Open Science, 5(7): 171176, July 2018.

[5] D.H. Thai and C. Gottschlich. Directional Global Three-part Image Decomposition. EURASIP Journal on Image and Video Processing, 2016(12):1-20, March 2016.

[4] D.H. Thai and C. Gottschlich. Global Variational Method for Fingerprint Segmentation by Three-Part Decomposition. IET Biometrics, 5(2):120-130, June 2016.

[3] D.H. Thai, S. Huckemann and C. Gottschlich. Filter Design and Performance Evaluation for Fingerprint Image Segmentation. PLoS ONE, 11(5):e0154160, May 2016.

[2] S.H. Cho and D.H. Thai and J.W. Han and H. Hwang. Multi-Level Thresholding based on Non- Parametric Approaches for Fast Segmentation. Journal of Biosystems Engineering, 38(2):149-162, June 2013.

[1] D.H. Thai. Fourier and Variational Based Approaches for Fingerprint Segmentation. PhD thesis, University of Goettingen, 2015.

Ongoing projects

[14] D.H. Thai. Compressive Sensing for Video Hyper-spectral Imaging.

[15] D.H. Thai. Model Selection in Regularization for Image Processing.

[16] D.H. Thai. Simultaneous Two-phase Segmentation and Deconvolution for Piecewise Smooth Image.

Conferences and Posters

2016 The TV-L2-like Model Based Riesz Quincunx Wavelet, Invited talk on International Conference on Advances in Interdisciplinary Statistics and Combinatorics, University of North Carolina at Greensboro, USA, (I organized an invited section on ”forensic statistics and imaging”.).

Multiphase Segmentation For Simultaneously Homogeneous and Textural Images, poster, conference on SIAM imaging science, New Mexico. Textured Image Deconvolution and Decomposition, Invited Talk in Information Ini- tiative at Duke University and Forensics Transition Workshop at SAMSI,USA. Simultaneous Image Segmentation and Deconvolution, CCNS Transition Workshop, SAMSI.

2015 Fingerprint Image Segmentation via Total Variation, Invited Talk in Mathematical Image Analysis Group (headed by Prof. J. Weickert),SaarlandUniversity. 2014 Workshop on Time Dynamic Change Point Models and Its Applications, G ottingen, Germany, Oct 15 – Oct 16.

Summer School on Inference on Pattern Formation: Applications to Biology and Materials Science, G ottingen, Germany, Sept 11 – Sept 21. 2013 Workshop on Statistical Issues in Compressive Sensing, G ottingen, Germany, Nov 11

– Nov 13.

Conference of the Biometrics Special Interest Group, Darmstadt, Germany, Sept 05

– Sept 06.

2012 Summer School on Image Reconstruction: Mathematics & Applications, Munich, Germany, July 23 – July 27.

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Workshop on Advances in Mathematical Image Processing, G ottingen, Germany, Sept 04 – Sept 06.

Awards and Scholarships

Scholarship National Science Foundation (NSF) Grant DMS-1127914 to the Statistical and Applied Mathematical Sciences Institute, I received a scholarship during my post- doctoral fellowship in USA, financed by the US government. Scholarship Deutsche Forschungsgemeinschaft (DFG) Graduate Program 1023, Ireceiveda scholarship during my PhD degree in Germany, financed by the German government. Scholarship Brain Korea 21, I received a scholarship for my Master’s degree in Korea, financed by the Korean government.

Scholarship Ho Chi Minh City University of Technology, I received a scholarship during my bache- lor’s degree in Vietnam from the Honor Engineering Program of Ho Chi Minh City University of Technology, financed by the Vietnamese government. Mentorship

2015-2019 PhD mentoring to Robin Richter with Prof. S. Huckermann and Prof. G. Plonka-Hoch. Institute for Mathematical Stochastics, University of Goettigen, Germany. Skills

Programming

Languages

Matlab, C/C++, Python, CUDA, Tensorflow, GPU-programming, Java Typesetting Microsoft Visual Studio, LAT

EX

Computer systems Ubuntu Linux, Microsoft Windows

Languages Vietnamese (native), English (fluent)

Referees

Prof. Dr. David Banks.

Department The Statistical Science, Duke university, USA Email adgwsc@r.postjobfree.com

Homepage http://www2.stat.duke.edu/ banks/

.

Prof. Dr. David Dunson.

Department The Statistical Science, Duke university, USA Email adgwsc@r.postjobfree.com

Homepage https://www2.stat.duke.edu/ dunson

.

Prof. Dr. Axel Munk.

Department Institute for Mathematical Stochastics, University of Goettingen, Germany Email adgwsc@r.postjobfree.com

Homepage http://www.stochastik.math.uni-goettingen.de/munk

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Prof. Dr. Stephan Huckemann.

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Department Institute for Mathematical Stochastics, University of Goettingen, Germany Email adgwsc@r.postjobfree.com

Homepage http://www.stochastik.math.uni-goettingen.de/huckemann

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Prof. Dr. Richard Smith.

Department Statistics and Operations Research, University of North Carolina, Chapel Hill, USA Email adgwsc@r.postjobfree.com

Homepage http://www.unc.edu/ rls

.

Prof. Dr. Sayan Mukherjee.

Department Department of Statistical Science, Duke University, USA Email adgwsc@r.postjobfree.com

Homepage https://www2.stat.duke.edu/ sayan

.

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