Project

I consider my research a highly inter-disciplinary activity that spans the areas of applied mathematics, computer vision and data sciences. I develop mathematical tools and computational algorithms, and apply them to solve a variety of important problems arising in image processing, machine vision, and medical imaging.

Ongoing research projects
  • 2020–2023, PI, Interpretable Deep Learning and its Applications in Image Reconstruction/Recovery,
    Singapore MOE Tier 1 Academic Research Fund
  • 2018–2022, Co-PI, Neural Network based Learning for Prediction of Dementia Subtypes,
    Joint NUS-PKU research programme on data science
  • 2020-2023, Co-PI, Data-driven approach to inverse problem of light transport in turbid media ,
    Singapore MOE Tier 2 Academic Research Fund
Past research projects
  • 2018–2021, PI, A data-driven approach to blind image restoration and applications in navigation,
    Singapore MOE Tier 2 Academic Research Fund
  • 2017–2020, PI, Dictionary learning for big data,
    Singapore MOE Tier 1 Academic Research Fund
  • 2017-2018, PI, Mathematical and statistical theory of imaging,
    Global Alliance Programme of Cambridge, UC Berkeley and NUS
  • 2014–2017, Co-PI, Modeling Protein-Protein Interactions Using a Novel Knowledge-based Potential,
    Singapore MOE Tier 2 Academic Research Fund
  • 2013–2018, Co-PI, An integrated framework to study the dynamics of biological structures,
    Singapore MOE Tier 3 Academic Research Fund
  • 2013–2015, PI, Optimal dimensionality reduction for hyperspectral data,
    Singapore DSO National Laboratories Research Fund
  • 2012-2015, PI, Compressed sensing and its applications in imaging and surveillance,
    Singapore MOE Tier 1 Academic Research Fund
  • 2012–2014, Co-PI, Sparse approximation based restoration for cryo-EM images,
    Singapore MOE Tier 2 Academic Research Fund
  • 2009–2012, PI, Theory and computation of blind motion deblurring,
    Singapore MOE Tier 1 Academic Research Fund
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