Dr Madeleine Kotzagiannidis

Research Associate

Email: 

Location: 

1.05 Alexander Graham Bell building

Research Institute: 

  • Digital Communications

Biography: 

I am a postdoctoral research associate working with Prof. Mike Davies on the ERC Advanced Grant Project C-SENSE "Exploiting Low Dimensional Models in Sensing, Computation and Processing".

Previously, I completed my PhD on Graph Signal Processing in the Communications and Signal Processing Research Group at Imperial College London in 2017, which was funded through a Departmental Studentship, and my dissertation was titled "From Spline Wavelet to Sampling Theory on Circulant Graphs and Beyond - Conceiving Sparsity in Graph Signal Processing".  

Further, I obtained the M.Sc. in Mathematical Modelling and Scientific Computing at the University of Oxford in 2013, where my dissertation "The Improved k-SVD Algorithm - An Investigation of Dictionary Learning and Design" was supervised by Prof. Jared Tanner, and the B.Sc. in Mathematics (summa cum laude), with a minor in Physics, at the University of Minnesota-Twin Cities in 2012, where my Honors Thesis "The Triangular Distance Histogram in Object Recognition" was supervised by Prof. Peter Olver.

Academic Qualifications: 

PhD in Signal Processing, Imperial College London, 2017

MSc in Mathematical Modelling and Scientific Computing, University of Oxford, 2013

BSc in Mathematics (summa cum laude), University of Minnesota-Twin Cities, 2012

Research Interests: 

My research interests primarily lie in algebraic/spectral graph theory, linear algebra and signal processing/harmonic analysis on graphs with applications i.a. in machine learning. For further information, please see my publications 

Further Information: