Signal Press / editorial
Alaa Nfissi
Researcher, doctoral candidate and author of Signal Press Bureau.
The person behind the bureau
Alaa Nfissi is a doctoral candidate in artificial intelligence and information systems engineering at Concordia University in Montréal. His research connects learnable signal representations, speech and emotion analysis, interpretable models and reliable multimodal learning.
He is a research assistant at Université TÉLUQ and a research member of CRISE at UQAM. His doctoral research is supervised by Nizar Bouguila and co-supervised by Wassim Bouachir. He holds a research master’s degree from École Polytechnique de Tunisie and an engineering degree in computer science, specializing in data science, from ESPRIT.
His research starts with complex human signals: noisy recordings, incomplete observations and modalities that do not always agree. He studies how to learn representations that preserve useful mathematical properties, carry uncertainty into a decision and make a model’s output open to examination by a domain expert.
The work connects methodological research with reproducible software. It spans raw-waveform emotion recognition, learnable wavelets and fractional superlets, speech enhancement, feature attribution and multimodal fusion. Speech and affect provide demanding test settings for a wider interest in reliable AI for biomedical and behavioral data.
Signal Press Bureau is his personal research and editorial platform. Signal Press names its editorial language: a place to connect papers, code, methods and the human questions behind them.
Education
Doctoral research · Concordia University
Since 2021. Doctoral candidate in artificial intelligence and information systems engineering; supervised by Nizar Bouguila, co-supervised by Wassim Bouachir.
Research master’s · École Polytechnique de Tunisie
2020–2021. Advanced engineering, Internet of Things and data science.
Engineering degree · ESPRIT
2015–2020. Computer science, specializing in data science. Five-year engineering education in Tunisia.
Research & practice
At Université TÉLUQ since September 2021, his work includes model design, experimental evaluation, ablations, error analysis, statistical tests, research software and scientific writing. At CRISE, his methodological research uses anonymized crisis-call data under ethics approval.
His earlier work includes an AI research prototype at the SERCOM laboratory, École Polytechnique de Tunisie (2021), and leadership of data science at SmartMed SA / Med.tn (2020–2021). He previously worked as a data scientist at Arion Technologies (2019–2020) and remotely at Mitakus Analytics (2019).
Appointments & professional experience
Research assistant · Université TÉLUQ
September 2021–present. Developing original, reproducible deep-learning methods for speech, affect and human data related to health. The work spans learnable representations, multimodal learning, autoencoders and raw-waveform models. Responsibilities include experimental design, ablation studies, error analysis, statistical tests, research software and manuscript writing.
Research member · CRISE, UQAM
Since 2021. Interdisciplinary research at the Centre for Research and Intervention on Suicide, examining behavioral signals and technologies that may support mental-health work. Research on crisis calls uses the NSPL-CRISE corpus after anonymization and under research ethics approval.
AI researcher · SERCOM laboratory
2021 · École Polytechnique de Tunisie. Research prototype combining Internet of Things sensors, computer vision and anomaly detection, connecting data acquisition with intelligent analysis.
Data Science Lead · SmartMed SA / Med.tn
2020–2021. Led a team and designed the data and machine-learning architecture of a digital-health platform supporting doctor discovery, appointments, patient questions and product analytics. Responsibility extended from data acquisition to operation, with reliability and confidentiality as practical engineering constraints.
Data scientist · Arion Technologies
2019–2020. Professional experience in data science before the transition to doctoral research.
Data scientist · Mitakus Analytics
2019. Remote data-science role.
Teaching & mentoring
Invited instructor at Concordia’s Applied AI Institute in 2026: Sustainable AI Practices: Balancing Innovation with Responsibility (Mitacs, 18 March) and a workshop on generative AI as a project-management assistant (PMI Montréal, 17 June, delivered in English).
An invited introduction to explainable AI for Concordia’s Hardware Verification Group in 2023 was followed by scientific mentoring meetings. His mentoring has covered engineering capstone projects, internships and master’s research in speech, multimodality, signal processing and AI for health.
Recognition & research support
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Awards
Best Student Paper Award · ICSC 2024
Awarded for Unlocking the Emotional States of High-Risk Suicide Callers through Speech Analysis, by Alaa Nfissi, Wassim Bouachir, Nizar Bouguila and Brian Mishara.
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Scientific service
Academic service includes the IEEE ICMLA program committees for 2023–2026 and reviewing for journals including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Affective Computing, Pattern Recognition and Engineering Applications of Artificial Intelligence. ORCID and reviewer certificates document this work.
His current CV records more than fifty journal reviews across artificial intelligence, pattern recognition, biomedical informatics and software engineering. The ORCID profile carries reviewing contributions recorded through journal editorial systems.
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Working across languages
Arabic is his native language. His schooling and engineering education were primarily in French, and he can teach, mentor and assess in French. English is his language of scientific publication and a language of professional instruction.
