Associate Professor Guangyan Huang (co-director)
Expertise: stream data mining, intelligent sensing, video understanding, short text analytics, AI for robotics
Dr Bahadorreza Ofoghi (co-director)
Expertise: machine learning, natural language processing
Professor John Yearwood
Expertise: Artificail Intelligence
Associate Professor Jianxin Li
Expertise: Graph Database, Data Mining, Social Network, Educational Computing
Dr Ming Liu
Expertise: Machine Learning, Natural Language Processing
Dr Son Tran (Associate member)
Expertise: Data Science, Machine Learning, Neuro-Symbolic Computing
Stella Ho
Ziwei Hou
Yelaman Abdullin
Sara Mirabi
Sandya De Alwiz
Mengqi Wang
Xinzhe Li
Anna Hou
Quoc Huy To
Dr Dinesh Nagumothu (2024, PhD), Thesis entitled: Enhancing Document Relevance Classification, Question Generation, and Passage Re-ranking using Semantic Triples
Dr Md Ahsan Habib (2023, PhD), Thesis entitled: Physiological Time Series Analysis Using Deep Learning Techniques
Dr Yunhao Fang (2023, PhD), Thesis entitled: Smart Agriculture: Advancements on Plant Disease Detection with Big Data and Deep Learning
Dr Junfeng Wu (2023, PhD), Thesis entitled: Emerging Pattern Mining from Scientific Publications for Frontier Topic Prediction
Dr Thuseethan Selvarajah (2022, PhD), Thesis entitled: Deep Emotions: In-depth Emotion Recognition using Deep Learning
Dr Hui Yin (2022, PhD), Thesis entitled: Deep learning based online short text analysis
Dr Xiangyu Song (2022, PhD), Thesis entitled: Effective Sequential Learning for Students’ Performance Prediction
Dr Najmeh Samadiani (2022, PhD), Thesis entitled: Emotion Recognition in Unconstrained Facial Videos by Learning Reliable Features
Mr Chuan Christian Lu (2021, Master), Thesis entitled: Record Linkage in Sparse Encounter Network
Dr Borui Cai (2021, PhD), Thesis entitled: Temporal Pattern Mining Using Flexible Wave Shapes on Time Series
Dr Taotao Cai (2020, PhD), Thesis entitled: Efficient Computation of Influential Users in Social Networks
Dr Shuiqiao Yang (2020, PhD), Thesis entitled: Discovering Core Terms for Effective Short Text Clustering
Dr Paul Perversi (2019, PhD), Thesis entitled: Collaborative Group Reasoning in Ward Rounds: A Critical Realist Case Study