Mr Evangelos Mitsokapas
Postgraduate Research Student
Email: email@example.comRoom Number: Mathematical Sciences Building, Room: MB-402 Office Hours: Please contact me by email for an appointment.
Evangelos Ch. Mitsokapas is currently a PhD student at the Dynamical Systems and Statistical Physics Group, under the supervision of Dr. Rosemary J. Harris, at the School of Mathematical Sciences at Queen Mary University of London.
His research topics lie within the field of Statistical Mechanics, non-extensive complex systems and the behavioural study of systems exhibiting non-markovian dynamics. His approach includes extreme-value memory modelling under the concept of peak-end rule, as well as developing applications in modelling collective behaviour in real systems with memory.
Evangelos obtained his postgraduate Diploma (MSc) on Applied Mathematics in 2016, from University of Patras, Greece, where he completed his thesis, entitled: "Statistical Mechanics and Entropy of Complex Systems". The purpose of his study was the introduction of the so-called Non-Extensive Statistical Mechanics, which could provide a more accurate macroscopic description regarding the chaotic behaviour of Hamiltonian systems of non-linear oscillators, that cannot be described by the classical approach of Boltzmann-Gibbs Statistical Mechanics.
After completing his postgraduate studies, he was invited for a short period of time to Nazarbayev University of Astana, Kazakhstan, to work on the numerical simulation of the dynamics of complex systems.
Since 2017 Evangelos has taught several modules at Queen Mary University of London, targeted at both the UG and PG curriculums. As a Teaching Associate (TA), he has worked for various schools of Queen Mary University of London, including the School of Mathematical Sciences, School of Biological and Chemical Sciences as well as the School of Engineering and Material Sciences.
During the academic year 2020-2021, Evangelos has been delivering additional classes on Dynamical systems and advanced Probability and Inference Statistics at King's College London, for UG students at the Department of Mathematics.
Queen Mary University of London
- School of Mathematical Sciences (2017-2021):
- Introduction to Python and Computer Programming
- Probability and Statistics I (IT Class)
- Statistical Modeling I (R-based Tutorial)
- Differential Equations
- Discrete Mathematics
- Probability Models
- Introduction to Algebra
- School of Biological and Chemical Sciences (2018-2019):
- School of Engineering and Materials Science (2018-2019):
King's College London
- Department of Mathematics (2020-2021):
Graduate Teaching Associate
- Probability and Statistics I
- Probability And Statistics II
- Introduction to Dynamical Systems (Mathematica-based)
Queen Mary University of London
School of Mathematical Sciences (2020-2021):
- Mitsokapas, E., Schäfer, B., Harris, R., & Beck, C., Statistical Characterization of Airplane Delays, Sci. Rep 11 7855 (2021).
- Moulos, V., Chatzikyriakos, G., Kassouras, V., Doulamis, A., Doulamis, N., Leventakis, G., ... & Gatzioura, A., A robust information life cycle management framework for securing and governing critical infrastructure systems. Inventions, 3(4), 71 (2018).