Xin Wang, Ph.D

PhD in Computer Science University of Regina, Canada
Xin Wang

Areas of Research

GeoAI, Spatial Data Mining, Smart Cities, Location-based Social Networks
Dr. Xin Wang's current research interests are AI and machine learning for geospatial applications, spatial databases and spatial data mining, data mining for oil and gas, GIS, web and mobile GIS, smart cities, and location-based social networks.

Supervising degrees

Geomatics Engineering - Doctoral: Accepting Inquiries
Geomatics Engineering - Masters: Accepting Inquiries
Geomatics Engineering - Masters: Accepting Inquiries

More information

Intelligent Geospatial Data Mining Lab

Working with this supervisor

The students are expected to have a strong background in computer science and/or GIS (Prefer to have a Bachelor degree in Computer Science or GIS). A master student should have a minimum GPA 3.2 on a four-point scale or equivalent. A PhD student should have a minimum GPA 3.5 on a four-point scale or equivalent. I also expect that my students are motivated, diligent and open-minded. If you are interested in the opening, please send me your resume, transcripts and TOEFL (if English is your second language.) I will set up an interview with you if you are qualified.

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