معرفی
Alberto Abad is an Associate Professor at the Department of Computer Science and Engineering (DEI), Instituto Superior Técnico (IST), University of Lisbon, and a researcher at INESC-ID. He is the coordinator of the Human Language Technologies (HLT) laboratory at INESC-ID and the deputy coordinator of the Master in Computer Science and Engineering at IST. He holds a PhD and a degree in Telecommunication Engineering from the Technical University of Catalonia (UPC). He is also an IEEE Senior Member, ACM Member, and ISCA Member.
Alberto Abad’s research interests include:
- Robust Speech Recognition
- Speaker and Language Characterization
- Applied Machine Learning
- Healthcare Applications of Speech Processing
- Privacy-Preserving Speech Technologies
- Speech as a Biomarker for Disease Detection
His recent publications demonstrate a strong focus on privacy-aware speech systems, healthcare diagnostics (e.g., Parkinson’s and Alzheimer’s), children’s speech recognition, and secure speaker verification. He has contributed to over 100 peer-reviewed publications in top-tier conferences and journals such as IEEE TASLP, ICASSP, Interspeech, and LREC.
Alberto Abad has been Principal Investigator for multiple national and international projects, including VITHEA (FCT), DIRHA (European), Biovisualspeech (CMU-Portugal), TAPAS ITN (EU), and currently leads the INESC-ID/IST contributions in the Accelerat.ai project. He actively collaborates with industry and startups in the field of speech technology.
He has supervised over 25 Master’s theses and more than five PhD students, either as advisor or co-advisor, in areas such as speech biomarkers, privacy-preserving ML, children’s ASR, and cognitive disorder detection. He teaches graduate courses including Speech Processing, Programming Fundamentals, and Master’s Dissertation in Informatics and Computer Engineering.
He is involved in the development of tools and platforms such as the SPA web-based platform for speech processing, the VITHEA virtual therapist for aphasia, and the BioVisualSpeech corpus and therapy system. His work bridges theoretical advances with real-world clinical and industrial applications.
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