Evi Aspropotamiti joined our group as a diploma student, and she worked on quantum state discrimination, and some applications in a twin-field quantum key distribution protocol. In March 2020, she moved to the group of Prof. D. Psaltis, at EPFL in Lausanne, for post-graduate research.
Education
- 2020: B.Sc. in Physics, Department of Physics, University of Crete, Greece
Career
- 2020: Post-graduate research, EPFL, Lausanne, Switzerland
Interests
- Quantum Cryptography
Postgraduate student in the division of Advanced Materials - Physical Chemistry at Department of Chemistry, University of Crete and member of the Hybrid Nanostructures Group of the Institute of Electronic Structure and Laser, Foundation for Research and Technology – Hellas.
Education
- 2021, Bachelor of Science, University of Crete, Department of Chemistry
Interests
- Organic-Inorganic Nanohybrid Materials
- Thermal Properties of Nanocomposites Materials
- Polymer Crystallinity Under Inorganic Nanocomposite Confinement
- pH Responsive Polymers
Education
- 2021, M.Sc, Department of Physics, University of Crete, Greece
- 2019, Bachelor, Department of Physics, University of Ioannina, Greece
Interests
- Characterization of Metals and Alloys
- Wetting of microstructured rough surfaces
- Polymer nanocomposite coatings
- Polymer surfaces and interfaces
Fereniki Moschogiannaki is an M.Sc. student in the master program
“Biomedical Engineering’’ at the Department of Medicine at the
University of Crete in Greece. She graduated from the Physics Department
of the University of Crete in 2020. In 2018, she joined the “Ultrafast
Laser Micro and Nano Processing” Group of the IESL, FORTH for her
Internship. She did her bachelor thesis, titled “Laser Microfabrication
of Porous Collagen Scaffolds for Biological Applications”, in
co-operation with the Neural Tissue Engineering Laboratory. Her current
research interests include bioengineering, biofabrication, biomaterials
and regenerative medicine.
Education
- 2020 – Today, M.Sc. Student - Department of Medicine, University of Crete, Greece.
- 2020 – Bachelor degree in Physics from University of Crete, Greece.
Career
- 03/2019 – 02/2020, Bachelor thesis, at FORTH, IESL, IMBB, Heraklion, Crete, Greece
- 06/2018 – 09/2018, Internship, IESL, FORTH, Heraklion, Crete, Greece
Interests
- Bioengineering
- Biofabrication with ultrashort pulsed laser
- Biomaterials
- Regenerative medicine
Maria-Christina Velli is a PhD candidate at the Department of Physics, University of Crete, Greece. She obtained her Bachelor’s Degree in Physics and Master’s Degree in “Advanced Physics”, from University of Crete, Greece, in 2016 and 2018 respectively, with her graduate thesis being in Astrophysics. In 2019, she joined the “Ultrafast Laser Micro and Nano Processing” Group of the IESL, FORTH. Her current research includes the development of machine learning algorithms and how they can be used to optimize the time consuming and costly nature of experiments and simulations, in ultrafast laser materials processing.
Education
- 2019 – Today, PhD Candidate - Department of Physics, University of Crete, Greece.
- 2018, Master of Science, Department of Physics, University of Crete, Greece.
- 2016, Bachelor degree in Physics from University of Crete, Greece.
Career
- July 2019 - Today, PhD Candidate, Department of Physics, University of Crete, Greece - Institute of Electronic Structure & Laser, FORTH, Heraklion, Crete, Greece. PhD thesis: “Development of machine learning algorithms in ultrafast laser materials proce
- Fall Semester 2019, Teaching Assistant at the undergraduate course “Advanced Physics Laboratory”, Physics Department, University of Crete. Instructor: Prof. Eleftherios Iliopoulos.
- October 2016 – February 2018, M.Sc. Advanced Physics, Department of Physics, University of Crete, Greece.
- Fall Semester 2016, Teaching Assistant at the undergraduate course “Advanced Physics Laboratory”, Physics Department, University of Crete. Instructor: Prof. Eleftherios Iliopoulos.
Interests
- Laser induced periodic surface structures
- Biomimetic surfaces
- Data Science
- Machine Learning Algorithms
- Physical mechanisms of light – matter interaction
