Using artificial intelligence and machine learning, LSU professor Hartmut Kaiser joins a team of scientists to help communities near the coast better prepare for flooding.
Kaiser, an assistant professor in the Department of Computer Science, is working with scientists from three other universities on a project called “Musicaal” that will help predict coastal flooding with greater accuracy.
Kaiser said the Gulf of Mexico coastal watershed is ideal for parish and county conservation research. He noted that more than half of the US population lives in these areas, and they generate about 58% of the country’s GDP.
“The Gulf Coast, along with Texas, Louisiana and Mississippi, is home to important US energy centers but also home to socially vulnerable populations,” Kaiser said in a statement. “This proposed effort facilitates the pursuit of science and knowledge to help reduce the risk of flood damage and improve socio-economic stability in the region.”
MuSiKAL, which stands for Multiphysics Simulation and Knowledge Discovery through AI/ML, is one of three projects funded by the Department of Energy’s Office of Advanced Scientific Computing Research.
Each project will receive $15.1 million over three years from the Department of Energy.
“The collaboration between scientific disciplines created under this program is paving the way for the future of scientific discovery by combining diverse knowledge, skills, and tools in new ways to tackle a variety of important problems,” said DOE Associate Director of Science for Advances said scientific computing research. Barbara Healand said in a statement. “These projects could revolutionize the scientific productivity of our facilities while working to solve some of America’s biggest problems.”
Kaiser is collaborating with scientists Clint Dawson of the University of Texas at Austin, Joannes Westerink of the University of Notre Dame and Ruby Leung from the Lawrence Berkeley National Laboratory.
The team will combine the DOE’s physics model of Earth with models measuring coastal circulation to develop more specific ways to predict flood behavior and strengthen plans for mitigating damage.
“The well-being of all Americans depends on the environmental integrity and sustainable productivity of the ocean, our coasts and our coastal waters,” Kaiser said.
Using artificial intelligence and machine learning, LSU professor Hartmut Kaiser is joining a team of scientists to help communities near the coast better prepare for flooding.
Kaiser, an assistant professor in the Department of Computer Science, is working with scientists from three other universities on a project called ‘Musikaal’ that will help predict coastal flooding with better accuracy.
Kaiser said the Gulf of Mexico coastal watershed is ideal for research on the protection of parishes and counties. He noted that more than half the American population lives in those areas, and they generate about 58 percent of the country’s GDP.
“The Gulf of Mexico coast along with Texas, Louisiana and Mississippi is home to important US energy centers but also home to socially vulnerable populations,” Kaiser said in a statement. “This proposed effort contributes to the pursuit of science and knowledge towards reducing flood damage risk and improving socioeconomic stability in the region.”
MuSiKAL, which stands for Multiphysics Simulation and Knowledge Discovery through AI/ML, is one of three projects funded by the Department of Energy’s Department of Advanced Scientific Computing Research.
Each project will receive $15.1 million over three years from the Department of Energy.
“The collaboration between scientific disciplines created through this program paves the way for the future of scientific discovery by combining diverse knowledge, skills, and tools in new ways to tackle a variety of important problems,” said DOE Associate Director of Science for Advanced Scientific Computing Research Barbara Healand said in a statement. “These projects could revolutionize the scientific productivity of our facilities while working toward solving some of America’s biggest problems.”
Kaiser is collaborating with scientists Clint Dawson of the University of Texas, Austin, Joannes Westerink of the University of Notre Dame and Ruby Leung of Lawrence Berkeley National Laboratory.
The team will combine the DOE’s Earth physics model with models measuring coastal circulation to develop more specified ways to predict flood behavior and strengthen damage reduction plans.