Hanjie Pan

Biography

I was an M.Phil. student at Image & Video Processing Lab, CUHK. Prof. Thierry Blu  was my undergraduate and graduate supervisor. My M.Phil. study focused on two sparse image restoration problems: 1) Solving the standard ell-1 regularized objective functional with linear expansion of thresholds (LET) ; 2) Sampling signals (specifically two-dimensional curves) with finite rate of innovation (FRI). I was a visiting research student at Imperial College London supervised by Prof. Pier-Luigi Dragotti during the summer 2010. From 2016 to 2017, I was affiliated with IBM Research Zu​rich as a research engineer working on source estimation from LOFAR radio telescope measurements.

I am currently working on continuous-domain sparse recovery based on of FRI sampling supervised by Prof. Martin Vetterli and Prof. Thierry Blu within Audiovisual Communications Laboratory (LCAV). Applications of the sparse recovery technique include, point source estimation in astronomy, direction of arrival estimation in acoustics and super-resolution microscopy.

Curriculum Vitae

Education

Docteur ès Sciences (Ph.D.), Computer & Communication Sciences, Ecole Polytechnique Fédérale de Lausanne, 01.06.2018

M.Phil. in Electronic Engineering, Digital Signal/Image Processing, The Chinese University of Hong Kong, 31.05.2013

Bachelor of Engineering, Electronic Engineering, The Chinese University of Hong Kong, 31.07.2010

Research interests

• Super-resolution microscopy;
• Sampling signals with Finite Rate of Innovation (FRI);
• Image restoration with Linear Expansion of Thresholds (LET).

Code

• l₁ minimization with iterative Linear Expansion of Threaholds (i-LET)
• Unified algorithmic framework to reconstruct signals with Finite Rate of Innovation (FRI) from non-uniform samples
• FRI-based DoA estimation for arbitrary array layouts (FRIDA)
• Looking beyond pixels: continuous-domain EstimAtion of Point sources (LEAP)