Duy Hoang Thai

Postdoctoral Associate

Email: dht11@stat.duke.edu

118 A/B Old Chemistry

(919) 684-1576/6097

ResearchGate

Research interests:

  1. Applied Mathematics: harmonic analysis, optimization, statistics
  2. Applications: signal/image processing

Education:

  • 2016-2017: Postdoctoral fellow in Department of Statistical Science at Duke university and NCSU, with Prof. D. Banks (Duke) and L. Stefanski (NCSU)
  • 2015-2016: Postdoctoral fellow in The Statistical and Applied Mathematical Science Institute (SAMSI), USA, with Prof. R. Smith (UNC)
  • 2011-2015: PhD in Institute for Mathematical Stochastics, University of Goettingen, Germany, with Prof. A. Munk and P. Mihailescu
  • 2009-2011: Master in Bio-Mechatronics Engineering, Sungkyunkwan University (Korea)
  • 2008-2009: Master in Control Theory, Faculty of Electrical - Electronics, Ho Chi Minh City University of Technology, Vietnam (not finished)
  • 2003-2008: Undergraduate in Control Theory (honor program), Faculty of Electrical - Electronics, Ho Chi Minh City University of Technology, Vietnam
  • Publications:

    a long version is in "arxiv" and its short version is in "article"

    1. D.H. Thai and D. Banks. Directional Mean Curvature for Textured Image Demixing. arxiv
    2. D.H. Thai and L. Mentch. Multiphase Segmentation For Simultaneously Homogeneous and Textural Images. arxiv
    3. D.H. Thai and C. Gottschlich. Simultaneous Inpainting and Denoising by Directional Global Three-part Decomposition: Connecting Variational and Fourier Domain Based Image Processing. arxiv
    4. 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. arxiv article
    5. D.H. Thai and C. Gottschlich. Global Variational Method for Fingerprint Segmentation by Three-Part Decomposition. IET Biometrics, 5(2):120-130, June 2016.
    6. arxiv article
    7. D.H. Thai, S. Huckemann and C. Gottschlich. Filter Design and Performance Evaluation for Fingerprint Image Segmentation. PLoS ONE, 11(5):e0154160, May 2016.
    8. arxiv article
    9. S.H. Cho, D.H. Thai, 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. article
    10. D.H. Thai. Fourier and Variational Based Approaches for Fingerprint Segmentation. PhD thesis, University of Goettingen, 2015. dissertation

    Ongoing projects:

    1. D.H. Thai and R. Richter. The TV-L2-like model based Riesz Dyadic wavelet.
    2. R. Richter and D.H. Thai. Model Selection in Regularization based Riesz Quincunx wavelet: Levy processes, Extreme value thresholding and False discovery rate.

    Invited Talks, Posters and Conferences:

    1. D.H. Thai. 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, 2016. (I hold a section on "Forensics statistics and imaging".)
    2. D.H. Thai. Multiphase Segmentation For Simultaneously Homogeneous and Textural Images, poster, conference on SIAM imaging science, New Mexico, 2016.
    3. D.H. Thai. Textured Image Deconvolution and Decomposition, Invited Talk in Information Initiative at Duke university and Forensics Transition Workshop at SAMSI, 2016.
    4. D.H. Thai. Simultaneous Image Segmentation and Deconvolution, CCNS Transition Workshop, SAMSI, 2016.
    5. D.H. Thai. Fingerprint Image Segmentation via Total Variation, Invited Talk in Mathematical Image Analysis Group (headed by Prof. J. Weickert), Saarland University, 2015.
    6. D.H. Thai. Fingerprint Image Segmentation via Total Variation, poster, Workshop on Advances in Mathematical Image Processing, Goettingen, 2012.

    Awards and Scholarships:

  • 2015-2017: my post-doctoral is funded by National Science Foundation (NSF) under Grant DMS-1127914 to SAMSI, USA.
  • 2011-2015: my PhD is funded Deutsche Forschungsgemeinschaft (DFG) Graduate Program 1023 - Identification in Mathematical Models, Germany.
  • 2009-2011: my master is funded by Brain Korea 21, Korea.
  • 2003-2008: my undergraduate is funded by Ho Chi Minh City University of Technology for honor program, Vietnam.
  • Mentorship:

  • 2015-2018: PhD mentoring to Robin Richter with Prof. S. Huckemann. Institute for Mathematical Stochastics, University of Goettingen, Germany.