2022-2023
·
Food safety incident clustering to
uncover common root causes- Vyzaniaris Georgios- AGROKNOW
·
Finetuning of open source LLMs for
specific domains- Stavropoulos Christos- AISERA
·
Training and development of a
table-to-text transformer-based model for contextual summarization of tabular
data- Aggelonidi Despoina- Incelligent ΙΚΕ
·
Leveraging ChatGPT and NLP for
enhanced FX market news and analysis- Kaptsikas, Agiopoulos-
Hypertech
·
Portfolio construction based on
advanced econometric models and machine learning techniques-
Zioulis, Panagiotis
·
Key information retrieval and
borderless table location in scanned legal documents- Antoniozas,
Panagiotis, Cognitiv+
·
Tagging in social media texts: a
deep learning approach for Greek language data on social web -
Mylona, Eirini- Palowise
·
Chain of thought prompting for
intent classification using large language models- Koutsianos,
Dimitrios- Omilia - Conversational Intelligence
·
Database system for analyzing
microstructure phenomena in the US corporate bond market through
transaction-level data: herding and momentum- Karypiadis, Efstratios
·
Forecasting energy market series
using econometric models and machine learning techniques-
Mastrodimitris-Gounaropoulos, Spyridon
2021-2022
·
Explainability in machine learning:
an application on retail industry- Andreadis, Georgios-IRI
·
Automatic detection of sections and
paragraphs in legal documents- Vlachos, Christos- Cognitiv Plus
·
Water quality analysis through
remote sensing data- Gkountoumas, Filippos- OAK SA
·
Conflict detection in music
knowledge graph: a study on deep learning with large graphs- Doudos,
Panagiotis-Orfium
·
Electricity consumption timeseries
forecasting: statistical, machine and deep learning methods-
Koumentakos, Agis-Georgios, Public Power Company SA
·
Voice of your customer analytics:
gather customer's feedback and turn it into valuable data and insights at scale-
Konstantinidis, Nikolaos, Deloitte
·
Compressing and accelerating the
inference of transformer-based models - Maroudas, Stylianos-
Cognitiv+
·
https://www.pyxida.aueb.gr/index.php?op=view_object&object_id=1042-
Moscholios, Filippos-Michael-Palo Services
·
Product matching via supervised
machine learning techniques- Papadopoulos, Nikolaos- Convert Group
SA
·
Exploring machine learning
approaches to decide how to position slot games on a website to maximize
performance- Stavrou, Andreas- Light & Wonder iGaming
·
Neural architectures for question
answering in dialogs
·
Product sales estimation in online
shops- Anastasios-Theofanis- Digital Commerce Intelligence
·
AI driven minute taker-
AI driven minute taker-Floudas Lampros-Accenture
2020-2021
·
Assessment of a hidden Markov model
for detecting abrupt shifts in time series of telecommunication data-Maragkopoulos
Georgios-INCELLIGENT
·
Behavioral analysis using retail
data for customer segmentation- Maniatis Philippos- POBUCA
·
Behavioral scorecard using machine
learning techniques- Anastasopoulos Nikolaos-NBG
·
Brand-based sentiment analysis-
Ormyliotou Georgia-PALO
·
Classification in the Banking Field-
Mavousoglou Maria Georgia-PREDICTA
·
Computer vision on piping and
instrumentation diagrams: towards the identification of their components-
Androvitsanea Anna-SYNTHETICA
·
Credit limit optimization using
Markov decision processes and double deep Q networks- Katsabalos
Ilias-JAJA
·
Cross-lingual adaptation in
automatic speech recognition- Gkouzias Thomas-POBUCA
·
Gaussian processes for modelling
wind turbine power curves- Ladopoulou Domniki-WIND ENGINEERING
·
Generalized 0-shot learning in
image classification: with the quasi-fully supervised method and variants-Papadoudis
Stratos
·
Greek text-to-speech-
Matrapazis Anastasios- POBUCA
·
Identifying problematic gambling
behaviour-Markakis Christos-SG DIGITAL
·
Loan risk assessment from Greek
legal reports- Kekkis Georgios-NBG
·
Natural Language Understanding as
Question Answering- Tassias Panagiotis-OMILIA
·
Optimizing carbon emissions of a
maritime fleet using deep reinforcement learning- Pappas Ioannis
Nikolaos- SYNTHETICA
·
Price promotion optimization for
the retail industry- Karampinis Ioannis-PREDICTA
·
Product cannibalization-Liagkou
Konstantina-SG DIGITAL
·
Tackling the cold start problem in
product recommendation systems-Nikas Athanasios-INCELLIGENT
·
Text classification to
automatically detect hazards in foods from official announcements and social
media-Papadatos Emmanouil- AGROKNOW
·
Toxicity detection on Greek tweets-
Anagnostopoulos Theodoros-PALO
2019-2020
·
A metadata monitoring framework for
explainable outlier detection- Gravias Loukas-EY
·
Credit Scoring through Machine
Learning and Artificial Intelligence- Papilas Konstantinos-PWC
·
Digital customer segmentation-
Platis Evangelos- EUROBANK
·
Emotion classification on greek
tweets- Thalassinou Lislevand Marina -PALO
·
Fraud detection for internet and
mobile banking- Boulieris Petros-NBG
·
Intent classification of dialogues
and dialogue turns-Ziazopoulos Panteleimon- POBUCA
·
Keystroke dynamics for user
authentication using arbitrary text- Lyronis Dimitrios- POBUCA
·
Maritime routing and navigation
using deep reinforcement learning- Kolozis Panagiotis-SYNTHETICA
·
Product information region
detection using deep learning techniques -Papadakis
Athanasios-CONVERT GROUP
·
Text classification for the
detection of food recalls-Chasapes Alexandros-AGROKNOW
·
Using sentence embeddings for the
management of user-generated training phrases in Natural Language Understanding
(NLU) service- Tamvakis Apostolos-HELVIA
2018-2019
·
RFM segmentation and Customer churn-
Andreadi Eirini- IRI
·
Predictive Modeling of match
results and Teams' Ranking- Tzai Lampis-OPAP
·
Machine Learning Applications in
Credit Scoring-Karezos Evgenios-CHANNEL VAS
·
Blue collar-White collar Job
Classification- Tsoukara Alexia-WORKABLE
· Detecting Similar Fraudulent Profiles Through Betting Patterns by Utilizing the k-Nearest Neighbors Algorithm- Dagre Aikaterini- UNIVED SCIENCE
INDUSTRY PARTNERS
The Master of Science in Data Science has a large and growing number of Industry Partners, offering industrial thesis topics, career days, seminars and short courses, and scholarships, among other forms of collaboration. We are grateful to the Greek industrial community for supporting the program.