Graduate Student Mathematical Modeling Camp is a weeklong workshop directed towards interdisciplinary problem solving whose aim is graduate student education and career development.

Four mathematical programming models for R&D project selection and funding are developed, based on similar models and results in the literature. Project selection and funding decision planning data ...

An exposition of a variety of mathematical models arising in the physical and biological sciences. Students' modeling projects are presented in class. Topics may include: GPS navigation, medical ...

Learn to use math and computers to model tissues, treatments, and toxicology. Develop mathematical and computational models to enhance understanding of the mechanisms governing tissue damage as a ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

Recent research has convincingly documented elementary school children's tendency to neglect real-world knowledge and realistic considerations during mathematical modeling of word problems in school ...

Kimberly Dautel, a mathematical modeling Ph.D. student, is undertaking COVID-19 modeling research thanks to a fellowship from the U.S. Food and Drug Administration’s Center for Devices and ...

The aim of our project is to fill the gap that has existed between mathematical modeling studies and public health policymaking by instituting an epidemiological reference system in model-based ...

Outline This project aims at developing mathematical statistics and probability theory to provide methodologies for modeling and analysis of complex random systems. Statistical methods enable analysis ...

Rochester Institute of Technology Assistant Professor Nourridine Siewe receives award for mathematical modeling research linking obesity and diabetes.

The recent expansion of quantitative models addresses many questions regarding tumour initiation, progression and metastases as well as intra-tumour heterogeneity, treatment responses and resistance.