معرفی
Dr. Albert Ali Salah serves as Professor and Chair of Social and Affective Computing within the Information and Computing Sciences Department at Utrecht University, Netherlands. His research leverages pattern recognition and machine learning for computational analysis of human behavior across multiple scales, with over 250 publications establishing him as a leading figure in affective computing and social signal processing.
Education:
- PhD in Computer Engineering, Boğaziçi University (2007)
His research spans individual behavior analysis (facial expression recognition), dyadic/group interactions (child-parent dynamics, clinical consultations), and computational social science (mobile data-driven migration studies). Recent work integrates computer vision with animal welfare through the AI and Animal Welfare Lab, developing automated pain assessment systems for livestock. His methodology emphasizes privacy-aware data collection and ethical AI frameworks for sensitive behavioral applications.
Awards & Recognition:
- EBF European Biometrics Research Award (2006)
- GEBIP award of Science Academy (2017)
Dr. Salah directs major EU-funded initiatives including the Data for Refugees (D4R) Challenge (2016-2019) and the mobile analytics workpackage in the HumMingBird project. He serves as Senior Member of ACM and IEEE while editing flagship journals like IEEE Transactions on Affective Computing. His conference leadership includes chairing ACM ICMI 2014, IEEE FG 2024, and serving on steering committees for premier biometrics and multimodal interaction venues.
He leads Utrecht's Social and Affective Computing research group while collaborating with the AI and Animal Welfare Lab on cross-species behavioral analytics, developing computational tools that bridge clinical science, social anthropology, and computer vision.
