IESL-FORTH

Researcher ID

Orc ID

Scholar ID

Office Phone: (+30) 2810 39 4263

Email: barmparis@iesl.forth.gr

Education

2012, Ph.D. in Materials Science and Technology, Dept. of Materials Science and Technology, University of Crete, Greece.
2008, M.Sc. in Computational Physics, Dept. of Physics, University of Crete, Greece.
2005, B.Sc. in Physics with major in Computational Physics, Dept. of Physics, University of Crete, Greece.

Career

2023 – present, Research Associate. Institute of Electronic Structure and Laser, Foundation of Research and Technology-Hellas, Greece.
2021 – present, Member of the Collaborating Educational Staff of the Hellenic Open University, Postgraduate program: Data Science and Machine Learning, Greece.
2022 – 2023, Senior Data Scientist - VODA.ai, USA (remotely).
2020 – 2021, Temporal teaching personnel in the frame of the National-EU program Gaining Academic Teaching experience, Department of Physics, University of Crete, Greece.
2019 – 2023, Research Associate. Institute of Theoretical and Computational Physics and Department of Physics, University of Crete, Greece.
11/2019 – 02/2020, Visiting researcher. Institute for Advanced Computational Science (IACS), John A. Paulson School of Engineering and Applied Sciences (SEAS), Harvard University, MA, USA.
2018 – 2019, Research Associate. Institute of Electronic Structure and Laser, Foundation of Research and Technology-Hellas, Greece.
2017 – 2019, Research Associate. Department of Physics, University of Crete, Greece.
2015 – 2016, Research Associate. Crete Center for Quantum Complexity and Nanotechnology. Department of Physics, University of Crete, Greece.
2012 – 2015, Postdoctoral scholar. Department of Physics and Astronomy, Vanderbilt University, TN, USA and Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, TN, USA.

Interests

Physics Informed Machine Learning
Machine Learning in Complex Systems and Medicine
Computational Materials and Condensed Matter Physics
Inverse Problems
Development of scientific software

Awards/Prizes/Distinctions

2011, “Maria Michail Manassaki" award as the top graduate student of the Department of Materials Science and Technology of the University of Crete, Greece.
2010, Individual HPC-Europa2 grant for a visit in Finland and access to one of Europe’s largest computers (150000 cpu hours).

Detection of abnormal left ventricular geometry in patients without cardiovascular disease through machine learning: An ECG‐based approach.

Eleni Angelaki, Maria E. Marketou, Georgios D. Barmparis, Alexandros Patrianakos, Panos E. Vardas, Fragiskos Parthenakis, Giorgos P. Tsironis

J Clin Hypertens, Volume:00, Page:1–11, Year:2021, DOI:doi.org/10.1111/jch.14200

Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach.

Georgios D. Barmparis, Georgios P. Tsironis

Chaos Soliton Fract, Volume:135, Page:109842, Year:2020, DOI:doi.org/10.1016/j.chaos.2020.109842

Robust prediction of complex spatiotemporal states through machine learning with sparse sensing.

G. D. Barmparis, G. Neofotistos, M. Mattheakis, J. Hizanidis, G. P. Tsironis, E. Kaxiras

Phys. Lett. A, Volume:384, Page:126300, Year:2020, DOI:doi.org/10.1016/j.physleta.2020.126300

Machine Learning With Observers Predicts Complex Spatiotemporal Behavior.

George Neofotistos, Marios Mattheakis, Georgios D. Barmparis, Johanne Hizanidis, Giorgos P. Tsironis, Efthimios Kaxiras

Front. Phys., Volume:7, Page:24, Year:2019, DOI:doi.org/10.3389/fphy.2019.00024

Office Phone: (+30) 2810 391874

Lab Phone: (+30) 2810 391349

Email: mangelis@iesl.forth.gr

2018-19: ONRG post-doctoral fellow at IESL-FORTH; engaged in research exploring the role of correlated disorder in intercalated iron-chalcogenide superconductors.

Career

2017, D.Phil. Chemistry; University of Reading, UK
2013, M.Sc. Materials for Sustainable & Renewable Energies; Heriot-Watt University, UK
2009, Physics; National and Kapodistrian University of Athens, Greece