Duy H. Thai

Research Gate Semantic Scholar

I am a research associate at department of Biomedical Engineering, University of Virginia, Charlottesville, VA. My main interests are harmonic analysis, optimization and stochastic calculus applied in signal/image processing, machine learning and stochastic dynamical systems.

Education:

2022-present: research associate in department of Biomedical Engineering at university of Virginia
2021-2022: Postdoctoral fellow in Geography and GeoInformation Science at George Mason University
2016-2021: Postdoctoral fellow in Department of Statistical Science at Duke university, with Prof. D. Banks, S. Mukherjee, D. Dunson
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)
2008: Undergraduate in Control Theory (honor program), Faculty of Electrical - Electronics, Ho Chi Minh City University of Technology, Vietnam

Publications:

A.H.M. Rubaiyat, D.H. Thai, G.K. Rohde, J.M. Nichols, M.N. Hutchinson. System Identification Using the Signed Cumulative Distribution Transform In Structural Health Monitoring Applications, 2023. [article] [arxiv] [code]
X. Fei, M.T. Le, D.H. Thai, K. Wessels and A. Zufle. Semi-Supervised Satellite Image Segmentation Using Spatial and Temporally Informed Poisson Segmentation. IGARSS 2023: 5642-5645.
D.H. Thai, X. Fei, M.T. Le, A. Zufle and K. Wessels. Riesz-Quincunx-Unet Variational Auto-Encoder for Satellite Image Denoising. IEEE Transactions on Geoscience and Remote Sensing, 2023. [article] [arxiv]
A. Susarla, A. Liu, D.H. Thai, M.T. Le and A. Zufle. Spatiotemporal Disease Case Prediction Using Contrastive Predictive Coding. SpatialEpi '22: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology, 2022. [article] [code]
D.H. Thai and D. Banks. Directional Mean Curvature for Textured Image Demixing. Applied Mathematical Modelling, Vol. 102, 2021. [article] [arxiv]
R. Richter, D.H. Thai and S. Huckemann. Generalized Intersection Algorithms with Fixpoints for Image Decomposition Learning, SIAM Journal on Imaging Sciences, Vol. 14, Iss. 3, 2021. [article] [arxiv]
R. Richter, D.H. Thai, C. Gottschlich and S. Huckemann. Filter Design for Image Decomposition and Applications to Forensics. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2020. [article]
D.H. Thai, Hau-Tieng Wu and D. Dunson. Locally Convex Kernel Mixtures: Bayesian Subspace Learning. 18th ICMLA, 2019. [article]
R. Richter, C. Gottschlich, L. Mentch, D.H. Thai and S. Huckemann. Smudge Noise for Quality Estimation of Fingerprints and its Validation. IEEE Transactions on Information Forensics and Security, 2019. [article]
D.H. Thai and L. Mentch. Multiphase Segmentation For Simultaneously Homogeneous and Textural Images. Applied Mathematics and Computation, 335(15):146-181, October 2018. [article]
D.H. Thai and C. Gottschlich. Simultaneous Inpainting and Denoising by Directional Global Three-part Decomposition: Connecting Variational and Fourier Domain Based Image Processing. R.Soc.opensci.5: 171176, June 2018. [article]
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. [article]
D.H. Thai and C. Gottschlich. Global Variational Method for Fingerprint Segmentation by Three-Part Decomposition. IET Biometrics, 5(2):120-130, June 2016. [article]
D.H. Thai, S. Huckemann and C. Gottschlich. Filter Design and Performance Evaluation for Fingerprint Image Segmentation. PLoS ONE, 11(5):e0154160, May 2016. [article]
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]
D.H. Thai. Fourier and Variational Based Approaches for Fingerprint Segmentation. PhD thesis, University of Goettingen, 2015. [dissertation]