BECT Institute Research & Innovation

Advancing the science of commercial motor vehicle safety through ground-breaking research in virtual reality training methodologies and driver behavior analysis.

Personnel

Meet The Personnel

Meet the dedicated team of investigators and researchers from SC State University heading this initiative.

Dr. Barbara Adams

Dr. Barbara Adams

Principal Investigator

SC State University

Dr. Judith Mwakalonge

Dr. Judith Mwakalonge

Co-Principal Investigator

SC State University

Dr. Stanley Ihekweazu

Dr. Stanley Ihekweazu

Co-Principal Investigator

SC State University

Dr. Kelvin Kwakye

Dr. Kelvin Kwakye

Project Director

SC State University

Dr. Nana Kankam Gyimah

Dr. Nana Kankam Gyimah

Research Associate

SC State University

LaToya Yulanda Preston-Branch, MBA, MHRM

LaToya Yulanda Preston-Branch, MBA, MHRM

Outreach Cordinator

SC State University

Brenda L. Howard

Brenda L. Howard

Administrative Coordinator

SC State University

25+

Research Projects

35+

Published Papers

12

Research Partners

8

Years of Research

Publications

Recent Publications

Explore BECT latest research findings and publications.

SMART VR for Commercial motor vehicles Safety: A Scalable Virtual Reality Framework with AI-Driven Hazard Simulation and Physiological Monitoring

Kwakye, K., Gyimah, N. K., Mwakalonge, J., Adams, B., Ihekweazu, S.

AHFE Hawaii International Conference 2025

Analyzing Factors Influencing Driver Willingness to Accept Advanced Driver Assistance Systems

Musau, H., Gyimah, N. K., Mwakalonge, J., Comert, G., Siuhi, S.

arXiv preprint 2025

Digital Healthcare Applications in Pedestrian Safety: A VR-Based Predictive Model for Distracted Crossing Behavior

Sulle, M., Mwakalonge, J., Comert, G., Siuhi, S., Gyimah, N. K., Roberts, J., Ruganuza, D.

Digital Engineering 2025

Topological data analysis for driver behavior classification driven by vehicle trajectory data

Indah, D., Mwakalonge, J., Comert, G., Siuhi, S., Musau, H., Osei, E., Gyimah, N. K.

Machine Learning with Applications 2025

Real-Time Conflict Prediction for Large Truck Merging in Mixed Traffic at Work Zone Lane Closures

Enan, A., Mamun, A. A., Comert, G., Indah, D. A., Mwakalonge, J., Apon, A. W., Chowdhury, M.

arXiv preprint 2025

Enhancing advanced driver assistance systems through explainable artificial intelligence for driver anomaly detection

Chengula, T. J., Mwakalonge, J., Comert, G., Sulle, M., Siuhi, S., Osei, E.

Machine Learning with Applications 2024