Welcome to
The Sustainable Mobility and Advanced Research in Transportation Group
What We Do
We are a group of interdisciplinary researchers leveraging cutting-edge technologies to enhance transportation. Our research spans across various domains of data science and transportation engineering, where we develop innovative solutions to tackle large-scale, complex challenges in urban mobility, transportation safety and sustainable infrastructure.
Core Transportation Systems & Planning
Transportation Planning, Travel Demand Modeling, Public Transportation, Congestion Management, Pavement and Asset Management and Transportation Safety.
Technology & Innovation in Transportation
Digital Twins and Smart Cities, Big Data Analytics in Transportation, Autonomous and Connected Vehicles and Intelligent Transportation Systems.
Artificial Intelligence & Big Data Analytics
Analyzing large-scale transportation datasets for insights, Developing machine learning models for predictive modeling
About Dr. Armstrong Aboah
Dr. Armstrong Aboah is a distinguished Transportation Data Scientist and Assistant Professor at North Dakota State University. With a proven track record of innovative research and extensive hands-on experience, he specializes in developing cutting-edge statistical modeling techniques and advanced computer vision systems, all designed to enhance transportation system management and operations.
-
Expertise & Contributions
His work spans across various domains of transportation engineering and data science, where he has served as both architect and application developer, utilizing machine learning models to tackle large-scale, complex challenges in urban mobility and transportation safety.
-
Academic Background & Mentorship
Dr. Aboah received his PhD from the University of Missouri-Columbia, under the mentorship of Dr. Yaw Adu-Gyamfi.
-
Research Impact & Focus
and has since been at the forefront of integrating data-driven approaches into transportation research and education.
Our Research & Publications
At the SMART Lab, we leverage cutting-edge technologies to revolutionize transportation:
Integrating Travel Behavior Forecasting and Generative Modeling for Predicting Future Urban Mobility and Spatial Transformations
Eugene Denteh, Andrews Danyo, Joshua Kofi Asamoah, Blessing Agyei Kyem, Twitchell Addai, Armstrong Aboah (2025)
Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets
Blessing Agyei Kyem,Eugene Kofi Okrah Denteh,Joshua Kofi Asamoah,Kenneth Adomako Tutu,Armstrong Aboah (2024).
PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation.
Blessing Agyei Kyem,Eugene Kofi Okrah Denteh,Joshua Kofi Asamoah,Armstrong Aboah (2024).
Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets.
Neema Jakisa Owor,Yaw Adu-Gyamfi,Armstrong Aboah,Mark Amo-Boateng (2024).
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos
Armstrong Aboah,Ulas Bagci,Abdul Rashid Mussah,Neema Jakisa Owor,Yaw Adu-Gyamfi (2024).
Current Projects
Innovative transportation research initiatives currently underway at the SMART Lab
Robotic Shepherding of Bisons
Developing autonomous robotic systems to safely monitor and guide bison herds using computer vision and adaptive AI algorithms that respect natural behaviors.
Work Zone Safety
Enhancing construction zone safety with real-time monitoring systems that alert workers and drivers to potential hazards using IoT sensors and predictive analytics.
Electric Grid Monitoring with ML Models
Implementing machine learning algorithms to predict and optimize electric grid performance for EV charging infrastructures, focusing on load balancing and efficiency.
Building of a Smart City
Creating an integrated digital twin for urban planning and mobility optimization, connecting transportation systems, energy networks, and public services through a unified data platform for sustainability and efficiency.
Pavement Cracks Detection
Advancing computer vision and deep learning techniques to automatically identify, classify, and assess pavement defects from mobile imagery, enabling proactive maintenance and improved infrastructure management.
Latest News & Activities
Eugene Denteh Presents Two Papers at ICBDA 2025 in Singapore
March 13-15, 2025
Team
Meet the passionate individuals who make up the SMART Lab research team, driving innovation in transportation research and development
Dr. Armstrong Aboah
Assistant Professor Civil, Construction & Environmental Engineering
Blessing Agyei Kyem
PhD Student Civil Engineering
Joshua Asamoah
PhD Student Civil Engineering
Eugene Denteh
PhD Student Civil Engineering
Andrews Danyo
Master's Student Civil Engineering
Twitchell Addai
Master's Student Civil EngineeringInformation for Prospective Students
Interested in joining our lab?
PhD Students
We welcome applications from motivated individuals interested in pursuing a PhD in our lab. Most of our students have backgrounds in Engineering or Computer Science. Before reaching out, please ensure you are fully prepared by following the guidelines below:
Master's and Undergraduate Students
For Master's and Undergraduate students at NDSU interested in working with me, send me an email with your CV and topics you are interested in working on. Use the subject line: "NDSU Student Seeking Collaboration". Please send your email to: info@ndsu-smartlab.com
Students not enrolled at NDSU should Apply to NDSU and send me an email once you are admitted.
Internship Opportunities
We currently do not have internship opportunities for available. Openeings will be advertised once available.
Our Core Partners
Organizations we collaborate with to advance research and innovation
