Dr. Mohammed Salah Al-Radhi

Portrait

Research Scientist | Artificial Intelligence

RG
Sc



Biography

Dr. Al-Radhi is a Research Scientist at BME-VIK-TMIT in Budapest, Hungary, actively contributing to the realization of impactful European projects like the ENFIELD, AI4Europe, and APH-ALARM projects. With a PhD in Artificial Intelligence of Speech from the BME, Dr. Al-Radhi specializes in accurately designing high-quality vocoding mechanisms, utilizing advanced signal processing techniques for speech synthesis and voice conversion applications. In education, he provides scholarly guidance to PhD, MSc, BSc students, directs their theses and projects, and imparts knowledge in courses covering deep learning, info-communication, human-computer interaction, and smart city laboratory. Dr. Al-Radhi is an esteemed reviewer for distinguished top-tier journals and conferences. His leadership role as a special issue editor for the prestigious Journal of Electronics reflects his elevated standing in the academic community. Recognized for his solid commitment to scholarly excellence, Dr. Al-Radhi has received honours, including a PhD dissertation defense with the highest distinction and a prestigious M.Sc. award. His impactful publications span diverse domains, featuring seminal research on nonparallel expressive TTS, child-based speech, and pioneering advancements in voice cloning and conversational AI.




News




Academic Employment




Projects Activity

  • ENFIELD: European Lighthouse to Manifest Trustworthy and Green AI.
    • 2023-2026, Researcher, European Horizon 2020 Commission (doi)
  • AI4Europe: Building a European AI on-demand platform.
    • 2019-2022, Researcher, European Horizon 2020 Commission (doi)
  • APH-ALARM: Comprehensive safety solution for people with Aphasia.
    • 2020-2023, Researcher, AAL-Europe (url)
  • OTKA-FK-124584: Silent Speech Interface based on articulatory movements.
    • 2017-2022, Investigator, Hungarian Fund (url)



Research Interests

My research focuses on applying advanced artificial intelligence and machine deep learning to push the boundaries of speech and language processing. Currently, my focus includes developing expressive speech synthesis, cutting-edge Text-to-Speech systems, innovative voice cloning methods, and exploring conversational AI. Additionally, I delve into Explainable AI (XAI), contribute to the fake voice detection and enhancing voice authenticity verification.




Education




Supervising

  • Main Supervisor
    • PhD students
    • Rammi Kammoun, Tunisian (2024 – 2028)
    • MSc student
    • Zineb Hammadi, Algerian (2023 – 2025)
    • Layan Sawalha, Jordanian (2021 – 2023, thesis)
    • BSc students
    • Felipe Lopes Franklin Bezerra, Brazilian (2021 – 2022, thesis)
    • Suciu Barnabás, Hungarian (2020 – 2021, thesis)
    • BSc & MSc Project laboratories (2020 – present)
  • Co-Supervisor
    • PhD students
    • Ali Mandeel, Iraqi (2020 - 2024)
    • Shaimaa S. Alwaisi, Iraqi (2022 - 2026)
    • MSc students
    • Dean Reymen, Belgian (2021 – 2022, thesis in Hasselt University, Belgium)
    • Pengyu Dai, Chinese (2019 – 2021, thesis)
  • Main Examiner for Project Laboratories
    • Responsible for assessing and assigning grades to BSc and MSc student projects


Teaching




Professional Activity




Honors/Awards



Reviewer & Programme Committee