Dr. Lincoln (Linlin) Xu
Positions
Assistant Professor
Schulich School of Engineering, Department of Geomatics Engineering
Contact information
Location
Office: ENE221
I'm looking for...
Study participants
passionate new PhD, MASc and Undergraduate students to join the team!
Background
Educational Background
BSc Geomatics Engineering, China University of Geosciences, 2007
BSc Computer Science and Technology, China University of Geosciences, 2007
MSc Geodesy , China University of Geosciences, 2010
PhD Geography, University of Waterloo, 2014
Biography
Dr. Lincoln (Linlin) Xu obtained dual BSc degrees in Geomatics Engineering and Computer Science from China University of Geosciences, where he also completed his MSc in Geodesy. He went on to obtain his PhD in Geography from the University of Waterloo in 2014. Before joining UCalgary, Dr. Xu served as an Associate Professor at China University of Geosciences and later as a Research Assistant Professor in the Department of Systems Design Engineering at the University of Waterloo.
As an interdisciplinary researcher, Dr. Xu’s research is at the cutting edge of integrating machine learning, AI, and remote sensing technologies, including SAR, hyperspectral, multispectral, and LiDAR, to tackle pressing environmental challenges. His work has led to significant advancements in pan-Arctic environment (i.e., sea/lake ice, Arctic species, marine oil spills) mapping, Land environment (soil, crop, wildfire, forest, land cover and land use) mapping, and hyperspectral environmental mapping and assessments.
In his key research areas, Dr. Xu has demonstrated excellence, leadership and recognition. He has secured many competitive grants, including NSERC DG, NSERC Alliance Option 2, MITACS, OCI and CSA ROSS. He published one book chapter, 75 journal papers and 45 conference articles on high-impact journals and conferences. He has been involved in many invited talks and presentations to different audiences, and he frequently serve as reviewers, guest editors, and associate editors for high-impact remote sensing journals and conferences. He has substantial teaching experiences and successful highly qualified personnel (HQP) training records. He has supervised and co-supervised 15 PhD students, 10 MASc students and 5 undergraduate students. His current research endeavors aim to push the boundaries of AI and remote sensing to develop more accurate and reliable environmental monitoring systems.
Research
Areas of Research
With the explosion of Geospatial and Remote Sensing (GRS) data, fast market growth is bottlenecked by the lack of intelligent analytics capable of automatically transferring large-volume, ever-increasing, noisy, heterogeneous raw GRS data into compact, real-time, value-added information product that is essential for critical environmental and climate-related applications.
I and my HQPs tailor-design cutting-edge AI solutions to enable automatic generation of scalable geospatial information products in a high-precision, fast and cost-effective manner to better support various key applications in environmental monitoring, resource exploration and climate change studies. The current research topics include:
(1) Big geospatial data science and AI analytics
(2) Sensor integration (e.g., Hyperspectral, Multispectral, LiDAR and SAR, and passive microwave imaging) and low-cost DIY geospatial sensing systems
(3) Integrated Pan-Arctic ocean environment (e.g., sea/lake ice, marine oil spills, Arctic species) mapping and monitoring using deep learning models
(4) Integrated Northern land environment (e.g., burned area, wildfire, vegetation, soil, land cover/use, biophysical, biochemical and geochemical parameters) mapping using deep learning models
(5) 3D urban environment modeling and digital twins via neural radiative field (NeRF) and Gaussian splatting
We are looking for passionate new graduate and undergraduate students to join the team!
Participation in university strategic initiatives
Publications
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