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.

Learn More

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, Digital Twins and Smart Cities, 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:

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).

Latest News & Activities

Dr. Armstrong Aboah testifies at ND State Legislative Committee

22nd January, 2025

TRB Conference 2025

5th January, 2025

The SMARTLAB welcomes the addition of 1 PhD Student and 2 Master's Students

30th December, 2024

Team

Meet the passionate individuals who make up the SMART Lab research team, driving innovation in transportation research and development

Dr. Armstrong Aboah

Associate Professor, Civil 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 Engineering

Information 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:


  • Review our current research areas and projects to ensure alignment with your interests. In your email, include a brief description of yourself, your academic background and projects you're excited to work on.

  • Attach your CV, which details your research background, projects you've worked on, and any relevant publications and conferences. Ensure that all associated links are included in your CV. Our lab conducts numerous experiments and therefore expects potential candidates to have programming experience.

  • In the subject line of your email, please use the format: “Prospective PhD Candidate - verified”. This indicates that you have read this section before contacting me. Emails without the above subject format may automatically be filtered out.

  • Please note that I receive numerous emails every month, and failure to respond to your email does not mean it hasn't been read. Please send your email to: info@ndsu-smartlab.com. For detailed application process, visit the Civil, Construction and Environmental Engineering website

    • 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.