Scholar
Kewen Liao
Google Scholar ID: KggdfSwAAAAJ
Associate Professor, School of IT, Deakin University
Citations & Impact
Citations
632
H-index
13
i10-index
17
Publications
20
Co-authors
19
list available
Publications
Resume (English only)
Academic Achievements
- Current projects leverage ML, DL, RL; LLMs, VLMs, MLLMs; as well as CV and NLP techniques for building AI- and GenAI-powered solutions for IoT sensor data analytics, industrial and medical image analysis, hateful content detection and offline event prediction, sports injury prediction, and motivational education.
Research Experience
- Currently an Associate Professor in Data Analytics and Machine Learning at Deakin University's School of Information Technology, with research areas including data management and data science, computer vision and multimedia computation, distributed computing and systems software, cybersecurity and privacy, machine learning, theory of computation, artificial intelligence, and applied computing.
Background
- Research interests span a range of combinatorial optimization and machine learning problems in data science, with a particular focus on: Time series analysis and streaming analytics, Multimodal (e.g., text and image), multitask, few-shot, federated, and interpretable machine learning, Graph or Social Network data mining and data management, Constrained clustering, coverage problems, and submodular optimization. Additionally, serves as Co-Director of the cross-faculty Tackling Hate Lab, focusing on social media data analytics and social event causal inference.
Miscellany
- Actively seeking highly motivated and exceptional students and research assistants/fellows interested in conducting research in the areas mentioned above, as well as in related fields.
