Vicky Kouni

Vicky Kouni is a Postdoctoral Fellow at the Isaac Newton Institute for Mathematical Sciences, University of Cambridge, and was concurrently affiliated with the Mathematical Institute of the University of Oxford under Prof. Jared Tanner's supervision during her fellowship.

Her academic credentials include:

• PhD in Informatics & Telecommunications from the National & Kapodistrian University of Athens
• M.Sc. in Applied Mathematics from the National & Kapodistrian University of Athens
• 4-year B.Sc. (Ptychion) in Mathematics from the National & Kapodistrian University of Athens

Her research integrates theoretical machine learning with signal processing, focusing on Deep Learning foundations, Learning Theory, and algorithmic frameworks like Deep Unfolding. She specializes in mathematical techniques including Compressed Sensing and Sparse Representations through Applied Harmonic Analysis, with direct applications to medical Imaging and Speech Sciences where data efficiency and reconstruction fidelity are critical.

No scientific awards, student advisees, or grant details are documented in the provided information.