Alkis Koudounas

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

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

Profilo

Dottorato di ricerca

Argomento di ricerca

Toward Robust, Responsible and Trustworthy Speech Foundation Models

Tutori

Interessi di ricerca

Data science, Computer vision and AI

Biografia

Alkis is a third-year Ph.D student at the Polytechnic University of Turin, Italy, and an applied research intern at Amazon AGI. His research focuses on speech, audio, and multimodal understanding, as well as robust, responsible, and trustworthy AI. His interest also lies in the development of resources for under-represented languages, and he is currently focusing on creating tools to help diagnose voice-related pathologies and improve the quality of life for those affected by them. He served as the Italian Language Ambassador for the AYA Cohere4AI project. His works have been published in top-tier speech and NLP conferences and journals, including ICASSP, ACL, IEEE/ACM TASLP, COLING, EACL, and Interspeech, where he also won the Best Student Paper Award (2024).

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

Premi e riconoscimenti

  • Applied Scientist Intern at Amazon AGI - Speech Recognition Team (2024)
  • Best Student Paper Award at ISCA Interspeech 2024 Conference (2024)
  • IEEE ICASSP 2024 Travel Grant Recipient (2024)
  • ACM KDD 2024 Travel Grant Recipient (2024)
  • ISCA Interspeech 2024 Travel Grant Recipient (2024)
  • Online Chair at ECML-PKDD 2023 (2023)
  • PhD's Pitch @ IEEE Polito Student Branch Title: “Subgroup Disparities in Speech Models: Detection and Mitigation” Short Abstract: The research addresses performance disparities in speech models across subgroups through in-processing (divergence-aware regularization, targeted augmentation, contrastive learning) and post-processing (targeted data acquisition) techniques, improving robustness for underrepresented demographics. (2025)
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Didattica

Insegnamenti

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Ricerca

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Pubblicazioni

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