presents a lunch & learn at VGH, Paetzold auditorium
“Deep Learning of Natural Language for Health and Well-Being”
Deep learning is a class of machine learning methods inspired by information processing in the human brain. Deep learning has recently broken records on several natural language processing tasks (e.g., machine translation, speech recognition), thus transforming the way we lead our lives.
In this talk, Muhammed Abdul Mageed will introduce the area of deep learning of natural language and discuses applications on health and well-being, with a focus on large-scale methods targeting wide geographical regions. Examples include detecting human empathy, stress, and emotion of individuals and communities.
Muhammad Abdul-Mageed is an Assistant Professor in UBC School of Information, where he directs the UBC Natural Language Processing Lab. He has published more than 30 research papers in the areas of deep learning of natural language, natural language processing, and social media mining.
Before UBC, Dr. Abdul-Mageed was a Visiting Assistant Professor in the School of Informatics and Computing, Indiana University (2015-2016) where he created and taught courses on Social Media Mining, Sentiment Analysis, and Python Programming. In 2015, he was also a Visiting Scholar in the Department of Computer Science at the George Washington University.
Dr. Abdul-Mageed completed a dual Ph.D. in Computational Linguistics and Information Science at IU in 2015. Between 2010 and 2012, he was a Visiting Scholar in the Center for Computational Learning Systems, Columbia University. He is a Visiting Scholar in the World Well-Being Project, the University of Pennsylvania and serves as a member of the standing reviewing committee for Transactions of the Association for Computational Linguistics.