Announcements
Citizens Hackathon Championship is an initiative supported by the European Commission and implemented by Barrabés.biz in collaboration with Energy Cities, Eurada, ECSA and Eurocrowd. Aligned with the European knowledge valorisation policy and the European Missions, particularly the Mission on Climate Neutral and Smart Cities and the Mission on Adaptation to Climate Change, its goal is to facilitate a competition to valorise knowledge and the collaborative creation of technologically and socially innovative solutions by teams of citizens and researchers to address climate challenges.
The Championship unfolds in three stages: virtual local hackathons hosted by 22 EU locations, followed by training modules and coaching activities for the winning teams of these local hackathons, culminating in an EU final where teams can vie for prizes in three categories: Best Climate Neutral and Smart Cities Solution, Best Adaptation to Climate Change Solution and Best Cross-Cutting Solution.
Guided by facilitators, mentors, teachers and jury members, multidisciplinary teams will navigate through a set of workshops to co-design and prototype their solutions tailored to specific challenges proposed by citizens. An Advisory Board will oversee the alignment and progression of the hackathons with the EU initiatives underpinning this program.
Click here to download the documents for more details.
Due to the technical problems in the connection of members of the evaluation committee at the scheduled presentation of Msc thesis of student with mscaidl-0009 Monachelis Panagiotis, the presentation is rescheduled for Friday 29th of March at 16:00-17:00
MSc student ID: MSCAIDL-0009
MSc Thesis title: “Graph Neural Networks for Social Network Analysis”
MSc Thesis supervisor: Dr. Panagiotis Kasnesis
Date: 22/03/2024, Time: 14:00-15:00
Link for connecting to the presentation: Click here
The scheduled courses for Monday 11/03/2024 will be delivered only online (no physical presence, since it is not possible to enter in ZB109).
The corresponding links for connecting to the MS Teams platform which is used for the online lectures follow
For
17.00 – 19.15 | AIDL_A01 Fundamentals, of Artificial Intelligence and Machine Learning à
For
19.30 – 21.45 | AIDL_A02 Neural Networks and Deep Learning à
MSc student ID: MSCAIDL-0024
MSc Thesis title: “A Comparative Evaluation of Machine Learning and Deep Learning for Sports Predictions in Table Tennis”
MSc Thesis supervisor: Dr. Panagiotis Kasnesis
Date: 07/03/2024, Time: 14:00-15:00
Link for connecting to the presentation: Click here
MSc student ID: MSCAIDL-0031
MSc Thesis title: “Designing a Scalable and Reproducible Machine Learning Workflow”
MSc Thesis supervisor: Dr. Grigorios Nikolaou
Date: 06/03/2024, Time: 10:00-11:00
Link for connecting to the presentation: Click here
MSc student ID: MSCAIDL-0034
MSc Thesis title: “Augmentation of Language Model abilities with Graph Neural Networks and Knowledge Graphs”
MSc Thesis supervisor: Dr. Panagiotis Kasnesis
Date: 06/03/2024, Time: 14:00
Link for connecting to the presentation: Click here
Following the evaluation of applications submitted during the second call for applications for the academic year 2023-2024, the list of successful candidates can be found here.
Candidates will be informed through direct contact by the secretary of the MSc program by end of this week, in order to get information about the next required steps from their side.
- Completion of courses for the current (winter) semester: 16/2/2024
- Exam period : 19/2/2024 – 1/3/2024
Exam schedule (as described in the following table)
| Monday 19/2/2024 | Tuesday 20/2/2024 | Wednesday 21/2/2024 | Friday 23/2/2024 | Monday 26/2/2024 | Friday 1/3/2024 |
17.00 – 19.00 | AIDL_B_AS03 Lect: Papageorgas, Piromalis | AIDL_B01 | AIDL AIDL_B_CS03 Lect: Feidakis, Priniotakis Vassiliadis | AIDL_B_CS01 |
| AIDL_B02 Lect: Kasnesis |
19.00 – 21.00 | AIDL_B_AS02 Lect: Zacharia, Papoutsidakis | AIDL_B_CS02 Lect: Matsopoulos, Kakkos |
| AIDL_B_AS01 Signal Processing, Pattern Recognition and Machine Learning Lect: Rangoussi, Cantzos |
|
- Deadline for submission of Thesis and Thesis assessment application: 23/2/2024
- Deadline for submission of applications for extension of Thesis delivery : 23/2/2024
- Deadline for Thesis presentation and assessment: 8/3/2024
- Period for Thesis application period 11/3/2024 to 22/3/2024
- Course selection period (for new students or students who still have not successfully completed a first semester course or students who have got their thesis extension): 11/3/2024 to 22/3/2024
- Student mode of study declaration period (for new students) 11/3/2024 to 22/3/2024)
MSc student ID: MSCAIDL-0022
MSc Thesis title: “Solving Multiple Sequence Alignment using Deep Reinforcement Learning”
MSc Thesis supervisor: Dr. Panagiotis Kasnesis
Date: 09/02/2024, Time: 11:30am
Link for connecting to the presentation: Click here
The deadline for the second call of applications for the MSc in Artificial Intelligence and Deep Learning 2023-24 is Monday, January 8, 2024.
All interested candidates should send their applicationMonday, January 8th, 2024, together with the necessary documents by e-mail to aidl@uniwa.gr.
All necessary information about the applications can be found here
Open Invitation to MSc Thesis Presentation (online in MS Teams) “Intrinsic Reward-based Reinforcement Learning for the NetHack Learning Environment”
MSc student ID: MSCAIDL-0015
MSc Thesis title: “Intrinsic Reward-based Reinforcement Learning for the NetHack Learning Environment‘
MSc Thesis supervisor: Kasnesis Panagiotis
Date: 13/10/2023, Time: 13:00pm
MSc student ID: MSCAIDL-0001
MSc Thesis title: “Use of Artificial Intelligence and Deep Learning in the Food and Agriculture Domain”
MSc Thesis supervisor: Assistant Prof. Grigoris Nikolaou
Date: 10/03/2023, Time: 17:00pm
MSc student ID: MSCAIDL-0013
MSc Thesis title: “Robotic object grasping and manipulation”
MSc Thesis supervisor: Prof. Grigoris Nikolaou
Date: 23/02/2023, Time: 10:00am
MSc student ID: MSCAIDL-0006
MSc Thesis title: “Detection of hydraulic oil leaks using artificial intelligence”
MSc Thesis supervisor: Prof. Panagiotis Papageorgas
Date: 22/02/2023, Time: 18:00pm
MSc student ID: MSCAIDL-0014
MSc Thesis title: “Sign Language Recognition”
MSc Thesis supervisor: Prof. Grigoris Nikolaou
Date: 22/02/2023, Time: 10:00am
MSc student ID: MSCAIDL-0012
MSc Thesis title: “Greek Patent Classification Using Deep Learning”
MSc Thesis supervisor: Prof. Panagiotis Kasnesis
Date: 21/02/2023, Time: 17:00pm
MSc student ID: MSCAIDL-0003
MSc Thesis title: “Road Signs Detection using A.I.”
MSc Thesis supervisor: Prof. Dimitrios Piromalis
Date: 11/10/2022, Time: 11:00am
ΔΠΜΣ Τεχνητή Νοημοσύνη και Βαθιά Μάθηση | |||||||
Α/Α | Αριθμός Μητρώοου Φοιτητή/ήτριας | Θέματα ΜΔΕ/ Τίτλος Ελληνικά | Θέματα ΜΔΕ/ Τίτλος Αγγλικά | Διδάσκοντες/ουσες επιβλέποντες/ουσες | Τριμελείς Επιτροπές | Τριμελείς Επιτροπές | |
1 | MSCAIDL-0009 | Ανάλυση Κοινωνικών Δικτύων μέσω Νευρωνικών Δικτύων Γράφων | Graph Neural Networks for Social Network Analysis | Κασνέσης Παναγιώτης | Ραγκούση Μαρία | Παπουτσιδάκης Μιχαήλ | |
All interested candidates should send their application until Monday, October 31st, 2022, together with the necessary documents by e-mail to aidl@uniwa.gr.
All necessary information about the applications can be found here
MSc student ID: MSCAIDL-0010
MSc Thesis title: “Spatial-temporal crime prediction using Deep Learning.”
MSc Thesis supervisor: Prof. Panagiotis Kasnesis
Date: 26/9/2022, Time: 17:00pm
MSc student ID: MSCAIDL-0011
MSc Thesis title: “Artificial Intelligence in Pharmaceutical Domain (with emphasis on the data quality)”
MSc Thesis supervisor: Prof. Nelly Leligou
Date: 19/9/2022, Time: 12:00pm
MSc student ID: MSCAIDL-0005
MSc Thesis title: “Artificial Intelligence in Pharmaceutical Domain (with emphasis on the data quality)”
MSc Thesis supervisor: Prof. Nelly Leligou
Date: 19/7/2022, Time: 17:30
MSc student ID: MSCAIDL-0016
MSc Thesis title: “Wildfire prediction using machine learning”
MSc Thesis supervisor: Prof. Nelly Leligou
Date: 20/7/2022, Time: 18:00
To watch the MSc Thesis presentation, you could follow the next link:
STARTING DATE JULY 1st UNTIL SEPTEMBER 30th,2022
Applications for the MSc in Artificial Intelligence and Deep Learning are open for the Spring Semester 2021-22. All interested should send their application until September 30, 2022 electronically, together with the necessary documents to aidl@uniwa.gr. All necessary information about the applications can be found here.
Μεταπτυχιακές Διπλωματικές Εργασίες Ακαδημαϊκό Έτος 2021-22 |
|||||||
| Α/Α | Αριθμός Μητρώοου Φοιτητή/ήτριας | Θέματα ΜΔΕ/ Τίτλος Ελληνικά | Θέματα ΜΔΕ/ Τίτλος Αγγλικά | Διδάσκοντες/ουσες επιβλέποντες/ουσες | Τριμελείς Επιτροπές | Τριμελείς Επιτροπές | |
| 1 | MSCAIDL-0001 | Χρήσεις τής Τεχνητής Νοημοσύνης και τής Βαθειάς Μάθησης στον Αγροδιατροφικό Τομέα | Use of Artificial Intelligence and Deep Learning in the Food and Agriculture Domain | Πυρομάλης Δημήτριος | Παπαγέωργας Παναγιώτης | Βασιλειάδης Σάββας | |
| 2 | MSCAIDL-0002 | Μελέτη εργαλείων προσομοίωσης και μοντελoποίησης για την καθοδήγηση αυτόνομων οχημάτων με βάση στερεοσκοπική διάταξη | Study of simulation and modelling tools for autonomous vehicles driving based on stereoscopy | Παπαγέωργας Παναγιώτης | Πυρομάλης Δημήτριος | Κάντζος Δημήτριος | |
| 3 | MSCAIDL-0003 | Αναγνώριση Οδικής Σήμανσης με Τ.Ν | Road Signs Detection using A.I. | Πυρομάλης Δημήτριος | Παπαγέωργας Παναγιώτης | Πρινιωτάκης Γεώργιος | |
| 4 | MSCAIDL-0005 | Η εφαρμογή της τεχνητής νοημοσύνης στο φαρμακευτικό τομέα (με έμφαση στην ποιότητα των δεδομένων) | Artificial Intelligence in Pharmaceutical Domain (with emphasis on the data quality) | Λελίγκου Αικατερίνη- Ελένη | Ευθύμιος Λάλλας | Αντώνιος Καραγεώργος | |
| 5 | MSCAIDL-0006 | Ανίχνευση διαρροής υδραυλικού ελαίου με χρήση τεχνητής νοημοσύνης | Detection of hydraulic oil leaks using artificial intelligence | Παπαγέωργας Παναγιώτης | Πυρομάλης Δημήτριος | Παπουτσιδάκης ΜΙχαήλ | |
| 6 | MSCAIDL-0007 | Σχεδιασμός και Υλοποίηση Έξυπνης Σύμβασης σε ένα δίκτυο Blockchain για την αξιολόγηση των χαρακτηριστικών σε ομάδες δεδομένων | Design and Implementation of a smart contract in a Blockchain Network to evaluate the characteristics of datasets | Δημήτρης Κόγιας | Πατρικάκης Χαραλάμπος | Ψωμόπουλος Κωνσταντίνος | |
| 7 | MSCAIDL-0008 | Development of the Machine/Deep Learning model for the Humanoid NAO& application in real educational settings | Ανάπτυξη Μοντέλου Μηχανικής/ Βαθιάς Μάθησης για το Ανθρωποειδές ΝΑΟ, και εφαρμογή σε πραγματικές εκπαιδευτικές συνθήκες. | Φειδάκης Μιχαήλ | Πατρικάκης Χαραλάμπος | Ζαχαρία Παρασκυεή | |
| 8 | MSCAIDL-0010 | Χωρική – χρονική πρόβλεψη του εγκλήματος χρησιμοποιώντας βαθιά μάθηση | Spatial-temporal crime prediction using Deep Learning. | Κασνέσης Παναγιώτης | Πατρικάκης Χαραλάμπος | Παπαδόπουλος Περικλής | |
| 9 | MSCAIDL-0011 | Η εφαρμογή της τεχνητής νοημοσύνης στο φαρμακευτικό τομέα (με έμφαση στην ποιότητα των δεδομένων) | Artificial Intelligence in Pharmaceutical Domain (with emphasis on the data quality) | Λελίγκου Αικατερίνη- Ελένη | Ευθύμιος Λάλλας | Αντώνιος Καραγεώργος | |
| 10 | MSCAIDL-0012 | Αυτοεποπτευόμενη εκμάθησης σε φορετή συσκευή για δραστηριότητα/αναγνώριση χειρονομιών | Self-supervised learning for wearable activity/gesture recognition | Κασνέσης Παναγιώτης | Λελίγκου Αικατερίνη- Ελένη | Παπαδόπουλος Περικλής | |
| 11 | MSCAIDL-0013 | Χειρισμός ρομποτικού βραχίονα για την αρπάγη αντικειμένων | Robotic object grasping and manipulation | Νικολάου Γρηγόρης | Φειδάκης Μιχαήλ | Ζαχαρία Παρασκυεή | |
| 12 | MSCAIDL-0014 | Αναγνώριση νοηματικής γλώσσας | Sign Language Recognition | Νικολάου Γρηγόρης | Φειδάκης Μιχαήλ | Νικολόπουλος Δημήτριος | |
| 13 | MSCAIDL-0015 | Ενισχυτική Μάθηση με χρήση εγγενής ανταμοιβής στο περιβάλλον εκμάθησης NetHack | Intrinsic Reward-based Reinforcement Learning for the NetHack Learning Environment | Κασνέσης Παναγιώτης | Πατρικάκης Χαραλάμπος | Πρινιωτάκης Γεώργιος | |
| 14 | MSCAIDL-0016 | Πρόβλεψη πυρκαγιάς με χρήση μηχανικής μάθησης | Wildfire prediction using machine learning | Λελίγκου Αικατερίνη- Ελένη | Παπαδόπουλος Περικλής | Παπουτσιδάκης Μιχαήλ | |
The deadline for applications for the MSc in Artificial Intelligence and Deep Learning 2021-22 is extended to Friday, October 15, 2021.
All interested candidates should send their application until Friday, October 15, 2021, together with the necessary documents by e-mail to aidl@uniwa.gr.
All necessary information about the applications can be found here.
As the new semester is about to begin, our MSc students in Artificial Intelligence and Deep Learning program will get their free “First AIDL” kits, to be used for their assignments.
Applications for the MSc in Artificial Intelligence and Deep Learning are open for the Spring Semester 2021-22. All interested should send their application until September 30, 2021 electronically, together with the necessary documents to aidl@uniwa.gr. All necessary information about the applications can be found here.
Download the results here.