Kwadwo Amankwah-Nkyi Source Confirmed

OverviewAI-generated summary

Kwadwo Amankwah-Nkyi's research focuses on applying data-driven methods and machine learning techniques to assess and improve transportation systems. His work includes developing real-time detection systems for various transportation assets, such as helmets, barges on inland waterways, and general traffic violations, often utilizing deep learning models like YOLOv5. Amankwah-Nkyi also investigates methods for estimating the criticality of highway transportation assets, incorporating stakeholder input through analytical hierarchy processes. His research extends to assessing the resilience of transportation systems, with a case study focusing on the Arkansas roadway network. He has authored or co-authored eight publications, with a current h-index of 2 and 13 total citations. Amankwah-Nkyi collaborates with several researchers at the University of Arkansas at Fayetteville, including Sarah Hernandez (6 shared publications), Suman Mitra (3 shared publications), and Maria Falquez (2 shared publications).

Metrics

• h-index: 2
• Publications: 8
• Citations: 13