Michalis Papadopoulos is a PhD candidate in Computer Science in the Department of Computer Science and Engineering of European University Cyprus. He is also an Early Stage Researcher for the Marie Skłodowska-Curie Innovative Training Network (ITN) i-CONN (https://iconn.network/) and his research is funded by the European Commission, under their H2020 programme.
He holds a BSc degree in Physics and an MSc degree in Computational Physics from Aristotle University of Thessaloniki. For his thesis, he used symplectic integration methods on 3-body planetary systems, in order to check the validity of certain stability criteria.
His current scientific interests span across various disciplines (e.g., Astrophysics, Neuroscience, Geomorphology, etc.), while he utilizes Graph theoretical approaches for his analysis. His primary work involves representation of samples of galaxies with networks and inferring information about their evolutionary states.
Michalis Papadopoulos CV
PhD candidate in Computer Science (2020 – ongoing)
European University Cyprus, School of Sciences, Department of Computer Science and Engineering
Title: Structure in patterns in ordered datasets with applications in astrophysics, neuroscience and archaeology
Supervisors: Vicky Papadopoulou-Lesta, Andreas Efstathiou, Ioannis Michos
Fellowship: Early stage researcher for i-CONN, a Marie Sk-lodowska-Curie Innovative Training Net- work (ITN) project, funded by the European Commission, under their H2020 programme.
Project website: (https://iconn.network/)
EDUCATION
MSc in Computational Physics (2017 – 2019) Aristotle University of Thessaloniki,Department of Physics Grade : “Excellent” 9.75/10
Master Thesis: “Stability Criteria check of two-planet systems” Thesis Supervisor: Voyatzis Georgios
Bachelor in Physics (2012 – 2017)
Aristotle University of Thessaloniki,Department of Physics Grade : “Very Good” 7.15/10
Bachelor Thesis: “Free-floating planet models and future survey expectations” Thesis Supervisor: Voyatzis Georgios
SCIENTIFIC INTERESTS
| Graph Theory | Spectral Graph Theory | Graph Clustering |
| Graph Embeddings | Machine Learning | Data analysis |
PUBLICATIONS
- A. Ioannides, C. Kourouyiannis, C. Karittevlis, L. Liu, I. Michos, M. Papadopou- los, E. Papaefthymiou, O. Pavlou, V. Papadopoulou Lesta, and A. Efstathiou, a uni- fied framework for analyzing complex systems: Juxtaposing the (Kernel) PCa method and graph theory, Frontiers in Applied Mathematics and Statistics, 8 (2022)
IN PREPARATION
- VOUTSA, M. PAPADOPOULOS, V. PAPADOPOULOU LESTA, M-T. HU¨TT, The attractor structure of functional connectivity in coupled logistic maps. (to be submitted soon)
- PAPADOPOULOS, V. PAPADOPOULOU LESTA, I. MICHOS, A, EFSTATHIOU, a com- parative study of galaxy evolution with four different active galactic nucleus torus models
- PAPADOPOULOS, V. PAPADOPOULOU LESTA, I. MICHOS, A, EFSTATHIOU, Graph theoretical analysis of galaxy evolution
- KARITTEVLIS, M. PAPADOPOULOS, V. LIMA, S. TIWARI, A. A. IOANNIDES, V. PA- PADOPOULOU LESTA Thalamo-Cortical Connectivity extracted from1 raw MEG/EEG signals elicited by median nerve2 stimulation
COMPUTATIONAL SKILLS
Programming languages Python, C/C++
Graph Theory packages igraph (Python), NetworkX (Python)
Software Matlab, Mathematica, OpenMP, Latex
WORKSHOPS, SCHOOLS & TRAINING
- Cyprus Astrophysics Workshop 2022, Aristarchus Research Center, European University Cyprus, Cyprus, Nicosia & Paphos, October-November 2022
Organizers: Andreas Efstathiou, Seppo Mattila, Dimitra Rigopoulou
- A unified framework of methods and approaches in Connectivity Science, Jacobs Uni- versity, Germany, Bremen, June 2022
Annual Workshop of the i-CONN Innovative Training Network
Organizer: i-CONN network
- Summer School: Mathematics of Large Networks, Erd˝os Center, R´enyi Institute, Hungary, Budapest, May-June 2022
Organizers: M´arton Karsai, J´anos Kert´esz, L´aszl´o Lov´asz, Bal´azs R´ath
Website: https://erdoscenter.renyi.hu/events/summer-school-mathematics-large-networks
- Novel approaches to collecting high resolution data in connectivity science, AAISCS, Cyprus, Nicosia, March-April 2022
Advanced course of the i-CONN Innovative Training Network
Organizer: i-CONN network
- Managing connectivity in river and catchment systems, University of Vienna, Austria , Vienna, February 2022
Advanced course of the i-CONN Innovative Training Network
Organizer: i-CONN network
- Datathon – Integrating data across disciplines, Aix Marseille University, France , Marseille, September 2021
Advanced course of the i-CONN Innovative Training Network
Organizer: i-CONN network
- Socio-ecological Systems & Network Analysis, Masaryk University, Czech Republic , Brno, August 2021
Advanced course of the i-CONN Innovative Training Network
Organizer: i-CONN network
- Connectivity methods & Graph Theory, European University Cyprus, Cyprus, Nicosia, March 2021
Advanced course of the i-CONN Innovative Training Network
Organizer: i-CONN network
POSTERS
- Interdisciplinary connectivity: Understanding and Managing Complex Systems using Connectivity Science, presented in “European Researchers” Night 2020, Cyprus
- A Network Science approach for studying galaxy evolution, presented in “Conference on Multiscale Physical and Biological Systems”, 22-26 November 2021, Cyprus
LANGUAGES
Greek Native
English Full-working Proficiency
German Goethe-Zertifikat B1