Musa Bin Mohd Mokji

Also published under:M. M. Mokji, Musa Mokji, Musa Mohd Mokji, Musa M. Mokji

Affiliation

Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor, Malaysia

Topic

Acid Samples,Affect Recognition,Affective Computing,Algal Biomass,BERT Model,Biomass Estimation,Bodily Expressions,Body Language,Body Movements,Characterization Of Microorganisms,Chlamydomonas,Chlorella,Classification Accuracy,Classification Approach,Classification Performance,Conditional Distribution,Contextual Embedding,Data Sources,Diagonal Matrix,Dilute Conditions,Dimensionality Reduction,Discriminant Analysis,Disgust,Distribution Alignment,Divergence,Domain Adaptation,Emotion Recognition,Emotions Of Anger,English Dataset,Environmental Conditions,Facial Expressions,Feature Matching,Feature Reduction,Filter-based Methods,Fine-tuning Process,Focus Of This Paper,GPU Memory,Gaussian Process,Global Information,Gradient Features,High Memory,Input Sentence,Irrelevant Features,K-nearest Neighbor,Language Model,Linear Discriminant Analysis,Local Information,Malay Language,Marginal Distribution,Maximum And Minimum,

Biography

Musa Mohd Mokji received the M.Eng. and Ph.D. degrees specializing in image processing from Universiti Teknologi Malaysia, in 2001 and 2008, respectively. He is currently an Associate Professor with the Faculty of Engineering, Universiti Teknologi Malaysia, where he is also the Head of the Digital Signal and Image Processing Research Group. His research interests include signal and image processing, pattern recognition, data mining, applying these models to agriculture, surveillance systems, natural language processing, and medical. He has published more than 50 publications in these areas. He gives lectures on signal processing and image processing to undergraduate and postgraduate students at Universiti Teknologi Malaysia.