Department of Mathematical Sciences

All Items

• A Mathematical Model for Understanding and Predicting Dynamics of Depression as an Epidemic

  Bianca Linares, Alonso Gabriel Ogueda, Dr. Padmanabhan Seshaiyer

• Discovering the Reasons Why the Rate of Car Accidents Is Higher in California, Texas, and Florida.

  Kailash Iyer; Padmanabhan Seshaiyer

• Efficient Image Segmentation and Machine Learning Algorithms for Improved Malaria Detection from Blood Smear Images

  VIRAJ BOREDA, Kirthi Kumar, Soraya Ngarnim, Nathalia Peixoto, Padmanabhan Seshaiyer

• Mathematical Modeling, Analysis, and Simulation of the COVID-19 Epidemic

  COMFORT OHAJUNWA, Kirthi Kumar, Padmanabhan Seshaiyer

• Mathematical Modeling, Analysis, Simulation of the Opioid Crisis with Prescription and Social Drug Addiction Models

  Kirthi Kumar, Carmen Caiseda, Dr. Holly Matto, Dr. Padmanabhan Seshaiyer

• Modeling and Simulation of the Dynamics of COVID-19 in Enclosed Spaces

  UDBHAV MUTHAKANA, Padmanabhan Seshaiyer

• Rehabilitation Technology and Relapse-Detecting Software for Opioid Addiction Patients

  DIEGO VALENCIA, Kendall Johnson, Padmanabhan Seshaiyer

• Rehabilitation Technology and Relapse-Detecting Software for Recovering Opioid Addiction Patients

  Diego Valencia, Kendall Johnson, Dr. Holly Matto, Dr. Padmanabhan Seshaiyer

• Resource Optimization: Minimizing the Cost of Solar Panel Installation

  Jeremy Suh, Carmen Caiseda, Dr. Padmanabhan Seshaiyer

• Using Physics-Informed Neural Networks to Model and Simulate the Dynamics of Infectious Diseases in Enclosed Environments

  Sohini Banerjee, Long Nguyen, Dr. Padmanabhan Seshaiyer