EXPERTS: Ashley Payne (CLaSP), Yulin Pan (NAME), and Xun Huan (ME) have been awarded a Propelling Original Data Science (PODS) grant for their project Optimal Design of Data Assimilation for the Prediction of Hydrological Extremes. The Michigan Institute for Data Science (MIDAS) announced today the awardees of its first round of Propelling Original Data Science […]
Computer Modeling
Yulin Pan awarded MIDAS PODS grant for research predicting hydrological weather extremes
Swim with the robots, U-M on the Great Lakes
With a customized Iver 3 underwater drone, the Deep Robotic Optical Perception (DROP) Lab have a new set of underwater eyes that provide a window into the health of the world’s lakes and oceans.
