MSc Thesis presentation of Alexandros Tavernarakis, Monday 14/10/2024, 16.00
On Monday, October 14, 2024, at 16:00, Mr. Alexandros Tavernarakis of the
graduate program “Data Science and Information Technologies”, will present
on a Google Meet meeting his MSc thesis titled:
“Machine Learning-driven light shaping for optomechanical measurement
optimization.”
Abstract
Optomechanics is the field investigating the interactions between light
and mechanical motion. Optomechanics has long been identified as the best
strategy to proceed with measuring mechanical motion. Moreover, the
ability to efficiently couple light at the nanoscale has rushed the field
into using so-called nano-optomechanical systems, whose mechanical
responsivity is dramatically enhanced due to their ultra-low masses.
However, the usual hypothesis required for describing ultra-sensitive
measurements are waived at that scale leading to suboptimal and poorly
understood measurements.
To tackle this issue, we envision to implement a maching-learning platform
enabling to both address the quantum limits of nano-optomechanical
measurements and to auto-tune the system-dependent optimal nanomotion
observable. This platform rely on a multimode coherent imaging and light
shaping system inserted into an machine-learing-driven computer feedback
loop. This work presents the multiple challenges that had to be faced,
depending on the physical light scattering properties of the medium, its
geometry and its coupling to nanomotion, all parameters which have to be
accounted, recognized and best dealt with by the feedback process.
EXAMINATION COMMITTEE:
Haris Papageorgiou, Senior Researcher ATHENA (thesis supervisor)
Konstantinos Koutroumpas, Research Director NOA
Pierre Verlot, Assistant Professor Paris-Saclay University
Join Google Meet Meeting
Tavernarakis Alexandros- DSIT_MSc Presentation
Monday, October 14 · 16:00 – 17:30pm
FINAL PROGRAM FALL SEMESTER 2024-25
| DATA SCIENCE AND INFORMATION TECHNOLOGIES | ||||||
| FALL SEMESTER 2024-25 | ||||||
| MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY | ||
| Lesson Code | HOURS | HOURS | HOURS | HOURS | HOURS | |
| Μ164 | Knowledge Technologies | 11 a.m.-2 p.m. | ||||
| Koubarakis – Santipantakis | ||||||
| Required 1st Elective 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Γ | ||||||
| M415 | Computer Vision | 2-5 p.m. | ||||
| Avrithis- Psomas | ||||||
| Elective 1st | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Δ | ||||||
| Μ430 | Machine Learning | 6-9 p.m. | ||||
| Perantonis | ||||||
| Required 1st and 2nd | ||||||
| (online) | ||||||
| Μ417 | Introduction to Biotechnology | 12 n.-3 p.m. | ||||
| Tsaggaris-Stravopodis-Tsitsiloni | ||||||
| Required 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Γ | ||||||
| Μ416 | Biology-Physiology | 10 a.m.-1 p.m. | ||||
| Stravopodis-Tsitsiloni-Anastasiadou | ||||||
| Required 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Δ | ||||||
| Μ413 | Introduction to Bioinformatics | 2 p.m-5 p.m. | ||||
| Reczko-Dimopoulos | ||||||
| Required 2nd Elective 1st | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Γ | ||||||
| M402 | Clustering Algorithms | 5-8 p.m. | ||||
| Koutroumpas | ||||||
| Elective 1st and 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Γ | ||||||
| Μ161 | High scale Analytics | 9 a.m.-12 p.m. | ||||
| Gunopulos | ||||||
| Required 1st Elective 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom ΣΤ | ||||||
| Μ404 | Biostatistics | 12 n.-3 p.m. | ||||
| Linardatos | ||||||
| Elective 1st and 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Γ | ||||||
| Μ401 | Deep Neural Networks | 3-6 p.m. | ||||
| Papageorgiou- Kolovou | ||||||
| Required 1st Elective 2nd | ||||||
| Depart. of Informatics & Telecom. NKUA | ||||||
| Classroom Γ | ||||||
| Clarification: | 1st : Specialization Big Data and AI | |||||
| 2nd: Specialization Bioinformatics -Biomedical Data Science | ||||||
Έναρξη Μαθημάτων χειμερινού εξαμήνου α.ε 2024-2025
Τη Δευτέρα 7/10 αρχίζουν οι διαλέξεις των μαθημάτων του DSIT. Το πρόγραμμα μαθημάτων θα αναρτηθεί σύντομα.
ΑΚΑΔΗΜΑΪΚΟ ΗΜΕΡΟΛΟΓΙΟ ΤΜΗΜΑΤΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ ΚΑΙ ΤΗΛΕΠΙΚΟΙΝΩΝΙΩΝ ΑΚΑΔ. ΕΤΟΥΣ 2024-25
Δείτε εδώ το Ακαδημαϊκό Ημερολόγιο 2024-2025
Python Boot Camp-Fall DSIT 2024-25
During the first week (30/9 to 4/10) of the fall semester, all new students will attend the Python Boot Camp, which will take place from 17:00 pm to 20:00 pm (physically) at the the Linux Labs of the Department of Informatics and Telecommunications.
Days of the bootcamp:
Monday the 30th of September, 17:00 pm to 20:00 pm, Linux Labs of the Department of Informatics and Telecommunications
Tuesday the 1st of October, 17:00 pm to 20:00 pm, Linux Labs of the Department of Informatics and Telecommunications
Thursday the 3rd of October, 17:00 pm to 20:00 pm, Linux Labs of the Department of Informatics and Telecommunications
Friday the 4th of October, 17:00 pm to 20:00 pm, Linux Labs of the Department of Informatics and Telecommunications