Samuel Cheng

Dr. Samuel Cheng is an Associate Professor at the Gallogly College of Engineering, University of Oklahoma, specializing in Electrical and Computer Engineering. He holds a Ph.D. in Electrical Engineering from Texas A&M University (2004), preceded by M.S. and M.Phil. degrees from the University of Hawaii and Hong Kong University of Science and Technology.

• Education: B.S. (University of Hong Kong, 1995), M.Phil. (HKUST, 1997), M.S. (University of Hawaii, 2000), Ph.D. (Texas A&M, 2004)
• Professional Experience: Senior Research Engineer at Advanced Digital Imaging Research (2004-2005), prior internships at Microsoft Asia and Panasonic Technologies

His research focuses on Information Theory, Signal and Image Processing, and Pattern Recognition, with applications in remote sensing, urbanization analysis, and disaster monitoring. His publications span topics including urban impervious surface mapping, nighttime light analysis, and machine learning for environmental data. His work often integrates multi-source datasets (e.g., Landsat, LiDAR, social media) for spatiotemporal modeling.

• Technical Expertise: Spectral unmixing, machine learning, thermal remote sensing, GIS integration
• Key Applications: Power outage detection, vegetation-crime correlation, PM2.5 estimation, smart meter data fusion

Dr. Cheng holds three US patents in digital watermarking and is affiliated with IEEE, Sigma Xi, and AAAS. His recent articles demonstrate a trend toward leveraging AI for remote sensing challenges and analyzing urbanization impacts on ecosystems.