01
Machine learning & speech research
Hoan My
Tran.
Researcher working at the intersection of machine learning and speech processing, with a focus on making audio deepfake detection more robust and reliable.
HT
RESEARCH PROFILEFRANCE · 2021
Research affiliationIRISA · University of Rennes
PhDComputer Science, 2026
Research focusSpeech · ML · Deepfake Detection
01 / ABOUT
A little about me.
Background, academic path, and the questions that drive my research.
I am Hoan My Tran, a lecturer and researcher at IUT de Lannion, University of Rennes, France. I defended my Ph.D. in Computer Science in March 2026 at the University of Rennes, within the IRISA / EXPRESSION research team.
My doctoral research was supervised by Prof. Damien Lolive, Prof. François Goasdoué, Prof. Pierre-François Marteau, Asst. Prof. Arnaud Delhay-Lorrain, and Asst. Prof. Aghilas Sini.
Previously, I studied computer science at IUT de Villetaneuse (Sorbonne Paris North University) and earned an engineering degree specializing in software engineering from IMT Atlantique.
Beyond research, I enjoy communicating science to wider audiences. I was invited to give a TEDx talk ↗ about deepfake technology and its societal impact.
02 / RESEARCH
Publications.
Peer-reviewed conference papers, journal articles, and workshops in speech processing, audio authenticity, and machine learning.
2026
8 papers
02
Neural Information Processing Systems (NeurIPS)CORE A*Conference
Progressive Layer-wise Supervision: Deep-to-Shallow Supervision Annealing for Efficient and Robust Speech Deepfake Detection
Publication details forthcoming
03
04
Findings of the Association for Computational Linguistics
(ACL Findings)CORE A*
Conference
When depth is redundant: Efficient transformer-based speech anti-spoofing
05
IEEE International Conference on Acoustics, Speech, and
Signal Processing (ICASSP)CORE B
Conference
KAN we make models simpler for Audio Deepfake Detection with Kolmogorov-Arnold Networks?
10
IEEE Spoken Language Technology Workshop (SLT)Workshop
A Simple and Affordable Adversarial Attack By Speech Generation Finetuning
Publication details forthcoming
12
Journées d'Etudes sur la Parole (JEP)French-language
Simplifier la détection des deepfakes audio avec les réseaux de Kolmogorov-Arnold
13
Journées d'Etudes sur la Parole (JEP)French-language
Évaluation de la robustesse des modèles de fondation pour la détection de deepfakes audio : Influence de la diversité linguistique des données de pré-entraı̂nement
2025
3 papers06
07
08
2024
2 papers09
11
No publications in this period.
03 / JOURNEY
Experience & education.
A path through research, teaching, and software engineering.
Professional experience
Sep. 2025 – Aug. 2026
ATER – Lecturer and Researcher
IUT de Lannion – University of Rennes, Lannion, France
Mar. 2025 – Jul. 2025
Research Intern
National Institute of Informatics (NII), Tokyo, Japan · Advised by Prof. Junichi Yamagishi, Asst. Prof. Xin Wang, Xuechen Liu, and Wanying Ge
Nov. 2022 – Aug. 2025
Lecturer and Researcher
IUT de Lannion – ENSSAT – University of Rennes, Lannion, France
Oct. 2021 – Oct. 2022
Software Engineer
Talend – Nantes, France
Oct. 2018 – Sep. 2021
Apprentice Software Engineer
Horoquartz – Saint-Herblain, France
Education
Nov. 2022 – Mar. 2026
Ph.D. in Computer Science
University of Rennes, Lannion, France · Advised by Prof. Damien Lolive, Prof. François Goasdoué, Prof. Pierre-François Marteau, Asst. Prof. Arnaud Delhay-Lorrain, Asst. Prof. Aghilas Sini
Oct. 2018 – Sep. 2021
Master of Engineering in Computer Science
IMT Atlantique, Nantes, France
Sep. 2015 – Aug. 2017
DUT in Computer Science (Foundation Degree)
IUT de Villetaneuse – Sorbonne Paris North University, Villetaneuse, France