Zhihao Wang

I am looking for summer Research Intern in 2024!

I am a Ph.D. student, advised by Dr. Yiqun Xie, in the Department of Geographical Sciences at UMD. I work at the intersection of physics-based models, satellite imagery, and deep learning, aiming at tackling critical Earth science challenges, such as terrestrial carbon cycle modeling, ecological forecasting, and climate change combatting. George Box famously stated, "All models are wrong, but some models are useful". In this spirit, I study physics-guided/informed deep learning, with a focus on how real observations from satellite imagery can effectively bridge the gap between theoretical physics models and dynamic realities of our planet, revealing unknown sides of Earth. I ground my work in experiments with diverse ecosystem and energy models (e.g. Ecosystem Demography, Mortran) and in mining valuable information from both historical and real-time remote sensing images across the globe.

I obtained my Master in Geography at The Ohio State University with Dr. Desheng Liu. Previously, I graduated from a dual-degree program, where I received a B.E.S. in Honors Geomatics and Minor in Computer Science at the University of Waterloo, Canada, and a B.E. in Remote Sensing Science and Technology at Wuhan University, China.

news

Dec 18, 2023

I was awarded a $1,200 USD student scholarship by AAAI 2024.

Dec 9, 2023

My first-author paper was accepted at AAAI 2024.

Oct 12, 2023

I was awarded a $1,000 USD travel stipend by SIGSPATIAL GISCup competition.

Sep 9, 2023

My first-author paper was accepted at ACM SIGSPATIAL 2023.