News
Nishant Malik

Prevention Web highlights a study co-authored by Nishant Malik, assistant professor in the School of Mathematics and Statistics, about developing a new method using machine learning to accurately predict landslide movements, aiding global risk assessment efforts.

Landslides are one of the most destructive natural disasters on the planet, causing billions of dollars of damage and devastating loss of life every year. A global team of researchers has provided help for those who work to predict landslides and risk evaluations.

The Amazon rainforest is a unique region where climatologists have studied the effects of warming and deforestation for decades. With the global climate crisis becoming more evident, a new study is linking the Amazon to climate change around the rest of the world.

From fireworks to woodburning to modeling fire behavior, Jenna Sjunneson McDanold’s love of fire has fueled her growth as an artist and a mathematician. As part of her studies as mathematical modeling Ph.D. student, Sjunneson McDanold has been working at the Los Alamos National Laboratory. 

Kamal Rana, an imaging science Ph.D. student from India, has been using his skills to help identify landslide triggers and develop models for forecasting landslides.

Nishant Malik, assistant professor in RIT’s School of Mathematical Sciences, has developed a mathematical method that shows how shifting monsoon patterns led to the demise of the Indus Valley Civilization, a Bronze Age civilization contemporary to Mesopotamia and ancient Egypt.