Currently looking to hire bright and hard-working domestic or international students at all levels (PhD, M.Sc, Undergrad). If you are interested in conducting research in any of the following areas please email me your most recent CV, transcript and experience at
papaggel@eecs.yorku.ca to express your interest to work with me.
- Machine Learning & Data Mining
- Spatiotemporal AI & Mobility Intelligence
- Generative & Agentic AI
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- Graph & Network Learning
Our research focuses on machine learning and data mining, with particular emphasis on spatiotemporal AI and mobility intelligence, generative and agentic AI, and graph and network learning. I develop learning, representation, reasoning, and decision-making methods for complex structured and dynamic data.
In principle, we are interested in innovative research on all aspects of data science, knowledge discovery and data mining, ranging from theoretical foundations to novel models and algorithms for data mining problems in science, business, medicine, and engineering. More applied research that makes innovative technical contributions or sheds light to different aspects or dimensions of a research topic are also welcome.
Doing research in these areas is a challenging but rewarding experience. We are looking for originality of ideas, and we welcome students who are passionate and inspired about research and system-building in this area.
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