Process-based Forecast to Predict Short-term Shifts in Marine Species Distribution

At AN21, Alexa Fredston presented a process-based model of short-term changes in the range of marine species.

Mathematical Models Predict Effectiveness of Mitigation Strategies for Invasive Watermilfoil

Diana White explained several different approaches for reducing the prevalence of invasive watermilfoil at AN21.

At AN21, Devin O'Connor used the discrete element method to better understand crack formation within sea ice floes.

A hybrid pulmonary imaging methodology combines USCT and EIT techniques to exploit the strengths of each modality.

At CT21, Mengbin Ye investigated how private and expressed opinions change in response to external influences.

Haley Dozier presented several data-driven flood models that predict river discharge in the Mississippi River at AN21.

At AN21, Alina Glaubitz modified a traditional COVID-19 epidemiological model to account for the oscillatory dynamics of social distancing.

Sumanth Swaminathan described algorithms for the early detection of health deterioration events at AN21.

At CT21, Ming Cao presented a model for the coevolution of opinions and decision-making in complex social networks.

The U.K.'s Virtual Forum for Knowledge Exchange in Mathematical Sciences prepares graduate students for industrial careers.

Mario Banuelos described several mathematical techniques for investigating variations in genomes at AN21.

Danielle Brager used mathematical models to investigate photoreceptor degeneration and retinitis pigmentosa at AN21.

At AN21, Andrew Oster presented a new model for rat-flea-driven transmission of bubonic plague and compared it to previous models.

Luis Couto presented a control strategy for quickly charging lithium-ion batteries without degradation during CT21.

During AN21, Anthony Bonifonte hosted a minitutorial that focused on effective communication for nontechnical audiences.