Experience and Education

• Academic Instructor, Biomedical Engineering, University of South Carolina, 2018 – Present
• Ph.D., Biomedical Engineering, University of South Carolina, 2018
• B.S., Engineering, Appalachian State University, 2005

Research Overview

Dr. Boltin’s research focuses on developing decision support systems for the healthcare industry.  Data Science is an interdisciplinary field that employs techniques from many disciplines such as mathematics, statistics, information science and computer science.  The focus of our research is categorized into two broad areas: One, to glean information from data utilizing analytical techniques including data mining, statistical analysis, dimension reduction, supervised and unsupervised machine learning, as well as predictive modeling.  Two, design and evaluate translational informatic tools created to deploy sophisticated algorithms using the latest in software development and human computer interaction.     

Selected Publications

Boltin N, Culley J, Valafar H: Application of Dimensional Reduction and Artificial Neural Networks to Improve Emergency Department Triage during Chemical Mass Casualty Incidents. Article in Press 2018.

Boltin N, Valdes D, Culley JM, Valafar H: Mobile Decision Support Tool for Emergency Departments and Mass Casualty Incidents (EDIT): Initial Study. Jmir Mhealth Uhealth 2018, 6(6).

Boltin N, Vu D, Janos B, Shofner A, Culley J, Valafar H: An AI model for Rapid and Accurate Identification of Chemical Agents in Mass Casualty Incidents. In: Int'l Conf Health Informatics and Medical Systems: 2016; Las Vegas, NV. CSREA: 169-175.

O'Brien WL, Boltin ND, Lu ZY, Cassidy BM, Belliveau RG, Straub EJ, DeJong SA, Morgan SL, Myrick ML: Chemical Contrast Observed in Thermal Images of Blood-Stained Fabrics Exposed to Steam. Analyst 2015, 140(18):6222-6225.

O'Brien WL, Boltin ND, DeJong SA, Lu ZY, Cassidy BM, Hoy SJ, Morgan SL, Myrick ML: An Improved-Efficiency Compact Lamp for the Thermal Infrared. Applied Spectroscopy 2015, 69(12):1511-1513.

Teaching

• BMEN 211 - Modeling and Simulation of Biomedical Systems
• BMEN 361 - Biomedical Instrumentation
• BMEN 391 - Kinetics in Biomolecular Systems
• BMEN 589 - Data Analytics for Biomedical Engineers