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School of Physical and Chemical Sciences

Dr Costis Papageorgakis

Costis

Head of Physics and Astronomy | Reader in Theoretical Physics | Academic Lead for Employability and Graduate Opportunities

Email: c.papageorgakis@qmul.ac.uk
Telephone: 020 7882 5806
Room Number: G. O. Jones Building, Room 608

Profile

I am a Reader in Theoretical Physics at the Centre for Theoretical Physics, Department of Physics and Astronomy. My work has focussed on various aspects of supersymmetric/superconformal field theories and their relation to String/M-theory.

I hold an undergraduate diploma from the University of Patras (Greece), an MSc from Durham University and a PhD from Queen Mary University of London. I have previously held postdoctoral positions at the Tata Institute of Fundamental Research (India), King's College London and Rutgers University (USA). 

Teaching

I currently teach the undergraduate course "Quantum Mechanics and Symmetry" over the second semester of the 2024-2025 academic year.

I am a Fellow of Advance HE.

Publications

(A complete and up to date list of publications with an accurate citation count can also be found at this link)

Supervision

PhD students:

  • Alexander Stapleton (jointly with Prof. David Berman-PhD expected 2026)
  • Mitchell Woolley (PhD expected 2026)
  • L. Sidney Baines (jointly with Dr Ulla Blumenschein-PhD expected 2025)
  • Enrico Andriolo (PhD 2023)
  • Gergely Kántor (PhD 2022)
  • Joseph Hayling (PhD 2019)

I am also interested in taking on new students for the following project:

Conformal Field Theories are mathematical descriptions of natural phenomena that look the same at all length scales. They find fundamental applications over a large spectrum of topics ranging from condensed-matter physics, particle physics, string theory and quantum gravity. They are, however, incredibly hard to solve with the exception of a handful of examples.

This project aims to exploit the tremendous recent progress in Artificial Intelligence to solve arbitrary conformal field theories. This will be achieved by utilising machine-learning techniques similar to those used by Google’s DeepMind Technologies when building the AlphaGo programme, which spectacularly beat professional Go champions.

Requirements:

A very good grasp of graduate Quantum Field Theory and supersymmetry, as well as some basic conformal field theory and string theory. Coding experience is desirable. 

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