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Hussein Al Osman
Also published under:H. Osman
Affiliation
University of Ottawa, Ottawa, Ontario, Canada
Topic
Convolutional Neural Network,Neural Network,Recurrent Neural Network,Support Vector Machine,Visual Features,Acoustic Features,Advanced Machine Learning,Affect Recognition,Arousal Dimension,Artificial Neural Network,Auditory Brainstem Response,Auditory Processing Disorder,Biometric Identification,Bipolar Disorder,Bipolar Disorder Patients,CNN Model,Cochlear Implant,Concordance Correlation Coefficient,Convolutional Neural Network Classifier,Convolutional Neural Network Features,Convolutional Neural Network Model,Data Quality,Decision-level Fusion,Deep Convolutional Neural Network,Elsevier,Emotion Recognition,Evaluation Stage,Facial Action Units,Facial Cues,Facial Expressions,Facial Features,Feature-level Fusion,Filter Size,Gated Recurrent Unit,Gaussian Process,Gradient Boosting Decision Tree,Group Size,Hearing Aid,Hearing Aid Fitting,Hearing Impairment,Hearing Loss,Hidden Markov Model,Hyperparameter Tuning,Hypomania,ImageNet,LSTM Model,Learning Algorithms,Lexical Tone,Long Short-term Memory,Long Short-term Memory Model,
Biography
Hussein Al Osman (Member, IEEE) received the bachelor’s, master’s, and Ph.D. degrees from the University of Ottawa. He is currently an Associate Professor at the University of Ottawa and leads the Multimedia Processing and Interaction Group. He has recently been interested in remote physiological signal measurement and its application in affective computing. He has produced over 50 peer-reviewed research articles, two patents, and several technology transfers to the industry. His research interests include affective computing, specifically multimodal affect estimation, human–computer interaction, serious gaming, and multimedia systems.