Alkis Koudounas

Dottorando in Ingegneria Informatica E Dei Sistemi , 38^o ciclo (2022-2025)
Dipartimento di Automatica e Informatica (DAUIN)

Docente esterno e/o collaboratore didattico
Dipartimento di Automatica e Informatica (DAUIN)

alkis.koudounas@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

IA Interpretabile per la comprensione del linguaggio parlato

Tutori

Interessi di ricerca

Data science, Computer vision and AI

Biografia

Alkis is a second-year Ph.D student at the Polytechnic University of Turin, Italy, and is currently an applied research intern at Amazon AGI in Aachen, Germany. His research focuses on speech, audio, and multimodal understanding, as well as explainable and trustworthy AI. His interest also lies in the development of resources for under-represented languages. He served as the Italian Language Ambassador for the AYA Cohere4AI project. His works have been published in top-tier speech and NLP conferences, including ICASSP, COLING, EACL, and Interspeech, where he also won the Best Student Paper Award (2024).

Personal website: https://koudounasalkis.github.io/

Premi e riconoscimenti

Best Student Paper Award at ISCA Interspeech 2024 Conference (2024)
ISCA Interspeech 2024 Travel Grant Recipient (2024)
ACM KDD 2024 Travel Grant Recipient (2024)
IEEE ICASSP 2024 Travel Grant Recipient (2024)
Applied Scientist Intern at Amazon AGI - Speech Recognition Team (2024)
Online Chair at ECML-PKDD 2023 (2023)

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Didattica

Insegnamenti

Corso di laurea magistrale

Data Science e Tecnologie per le Basi di Dati. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Data science lab: process and methods. A.A. 2024/25, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Data Science e Tecnologie per le Basi di Dati. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Data science lab: process and methods. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Data Science e Tecnologie per le Basi di Dati. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Data Science e Tecnologie per le Basi di Dati. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Data science lab: process and methods. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

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Ricerca

Gruppi di ricerca

DBDM - Database and Data Mining Group (DAUIN)

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

Giobergia, Flavio; Koudounas, Alkis; Baralis, Elena (2024)
Large Language Models-aided Literature Reviews: A Study on Few-Shot Relevance Classification. In: 2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT), Turin (ITA), 25-27 September 2024. ISBN: 979-8-3503-8753-7
Contributo in Atti di Convegno (Proceeding)
Fantini, Marco; Ciravegna, Gabriele; Koudounas, Alkis; Cerquitelli, Tania; Baralis, ... (2024)
The Rapidly Evolving Scenario of Acoustic Voice Analysis in Otolaryngology. In: CUREUS, vol. 16. ISSN 2168-8184
Contributo su Rivista
Ciravegna, Gabriele; Koudounas, Alkis; Fantini, Marco; Cerquitelli, Tania; Baralis, ... (2024)
Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection - Vision paper. In: Workshops of the EDBT/ICDT 2024 Joint Conference, Paestum (IT), 25-28 March, 2024
Contributo in Atti di Convegno (Proceeding)
Borra, Federico; Savelli, Claudio; Rosso, Giacomo; Koudounas, Alkis; Giobergia, Flavio (2024)
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection. In: 18th International Workshop on Semantic Evaluation (SemEval-2024), Mexico City (MEX), 20-21 June, 2024, pp. 1678-1684
Contributo in Atti di Convegno (Proceeding)
Koudounas, Alkis; Giobergia, Flavio; Pastor, Eliana; Baralis, Elena (2024)
A Contrastive Learning Approach to Mitigate Bias in Speech Models. In: Interspeech 2024, Kos (GRC), 1-5 September 2024, pp. 827-831
Contributo in Atti di Convegno (Proceeding)