My research focusses on applying data analytic principles to novel areas, providing new tools to researchers and practitioners in those fields, as well as challenging existing data analytic techniques and algorithms with novel data, driving innovation. My current research has two major projects: soil remediation and human mobility.
Soil Remediation
This project leverages the expertise and data of EMS, which delivers soil remediation and monitoring solutions to the petrochemical and agricultural sectors. We work with EMS to develop better analytic pipelines and features for their soil sensors and with enhancing their models through data assimilation approaches.
Human Mobility
My group’s human mobility analytics is done primarily in collaboration with the INTERACT project. We are interested in researching better measures of human mobility to create better synthetic mobility models, either through algorithmic or machine learning techniques, to help planners and policy makers build more livable cities.
Student Opportunities
I am currently recruiting students for both the Human Mobility and Soil Remediation programs at the MSc level. Interested students should apply through to graduate studies for the Department of Computer Science, and indicate me as a potential supervisor. I will review all applications in late January 2024. I will not review applicants who directly apply for graduate studies via email.
I am currently recruiting a postdoctoral researcher for the Data Analytics in Soil Remediation project. Candidates should have a PhD in Computer Science or related discipline and a publication record in reputable venues in the analytics of multivariate systems. Interested candidates should send me an email by October 15, 2024 with a CV, research statement, teaching statement, and the name of two references.