Joshua Kofi Asamoah

I am a PhD student at North Dakota State University, and a part of the Sustainable Mobility and Advanced Research in Transportation (SMART) Lab research group. Under the mentorship of Professor Armstrong Aboah, my research is focused on machine learning, deep learning, computer vision, and Internet of Things (IoT), particularly their applications in autonomous navigation and perception..

I have a BS in Civil Engineering from Kwame Nkrumah University of Science and Technology, where I worked in Dr. Jack Banahene's lab. Upon completion, I worked as a research and teaching assistant for Dr. Russell Afrifa.

Email / GitHub / Google Scholar / LinkedIn

News

[02/01/2026] Our research paper on deep learning and localized data for pavement distress detection in developing regions has been accepted for publication in Advances in Data Science and Adaptive Analysis.

[10/31/2025] Our paper PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation has been accepted for publication in the ASCE Journal of Transportation Engineering, Part B: Pavements.

[10/05/2025] Our research paper titled A Memory-Augmented Transformer with Multi-Scale Spatio-Temporal Modelling for Network-Wide Traffic Flow Prediction has been accepted for presentation at the TRB 2026 Conference.

[10/03/2025] Our research paper titled Self-Supervised Multi-Scale Transformer with Attention-Guided Fusion For Efficient Crack Detection has been accepted for publication in Automation in Construction.

[09/30/2025] Our research paper titled Demographics-Informed Neural Network for Multi-Modal Spatiotemporal Forecasting of Urban Growth and Travel Patterns Using Satellite Imagery has been accepted for presentation at the TRB 2026 Conference.

[09/29/2025] Our research paper titled Demographics-Informed Neural Network for Multi-Modal Spatiotemporal Forecasting of Urban Growth and Travel Patterns Using Satellite Imagery has been accepted to the NeurIPS 2025 Workshop on UrbanAI.

[09/28/2025] Our research paper titled Self-Supervised Multi-Scale Transformer with Attention-Guided Fusion For Efficient Crack Detection has been accepted for presentation at the TRB 2026 Conference.

[09/28/2025] Our research paper titled Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement Images has been accepted for presentation at the TRB 2026 Conference.

[09/20/2025] Our research paper titled An Enhanced Lightweight Model for Real-time Pavement Condition Index Prediction has been accepted for presentation at the TRB 2026 Conference.

[07/12/2025] Three of our research papers have been accepted for presentation at ICCV 2025.

[05/02/2025] Our research paper Saam-Reflectnet: Sign-Aware Attention-Based Multitasking Framework for Integrated Traffic Sign Detection and Retroreflectivity Estimation has been accepted for publication at Expert Systems with Applications.

[04/29/2025] Our research paper A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement Images has been accepted for publication at Construction and Building Materials.

[02/26/2025] Our paper A Big Data Approach to Pavement Distress Detection has been accepted for oral presentation at the International Conference on Big Data Analytics 2025.

[02/26/2025] Our paper Integrating Travel Behavior Forecasting and Generative Modeling for Predicting Future Urban Mobility and Spatial Transformations has been accepted for oral presentation at the International Conference on Big Data Analytics 2025.

[12/19/2024] Our paper titled Weather-Adaptive Synthetic Data Generation for Enhanced Power Line Inspection Using StarGAN has been accepted for publication at IEEE Access!

[09/25/2024] Our research paper titled A novel methodological framework for assessing traffic sign retroreflectivity using Lidar data has been accepted for presentation at the TRB 2025 Conference.

[09/21/2024] Our paper PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation has been accepted for presentation at the TRB 2025 Annual Conference Meeting.

[07/08/2024] Congratulations! The SMART Lab received a seed grant from AI SUSTEIN.

[07/02/2024] Congratulations! The SMART Lab was awarded an EDRF grant.

[06/10/2024] Excited to join the SMART Lab.

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Research Interests

Machine learning
Computer vision
Autonomous systems
Perception and prediction models for transportation safety and smart infrastructure

Publications

These include published work, side projects and unpublished research work.

	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 Advances in Data Science and Adaptive Analysis, 2026 website / paper / arxiv /
	Self-supervised multi-scale transformer with Attention-Guided Fusion for efficient crack detection Blessing Agyei Kyem, Joshua Kofi Asamoah, Eugene Denteh, Andrews Danyo, Armstrong Aboah Automation in Construction, 2025 paper / code / poster / arxiv /
	A Unified Detection Pipeline for Robust Object Detection in Fisheye-Based Traffic Surveillance Neema Jakisa Owor, Joshua Kofi Asamoah, Tanner Wambui Muturi, Anneliese Jakisa Owor, Blessing Agyei Kyem, Andrews Danyo, Yaw Adu-Gyamfi, Armstrong Aboah ICCV, 2025 pdf / arxiv /
	Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning Tanner Muturi, Blessing Agyei Kyem, Joshua Kofi Asamoah, Neema Jakisa Owor, Richard Dyzinela, Andrews Danyo, Yaw Adu-Gyamfi, Armstrong Aboah ICCV, 2025 pdf / arxiv /
	Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis Blessing Agyei Kyem, Neema Jakisa Owor, Andrews Danyo, Joshua Kofi Asamoah, Eugene Denteh, Tanner Muturi, Anthony Dontoh, Yaw Adu-Gyamfi, Armstrong Aboah ICCV, 2025 pdf / arxiv /
	Saam-Reflectnet: Sign-Aware Attention-Based Multitasking Framework for Integrated Traffic Sign Detection and Retroreflectivity Estimation Joshua K. Asamoah, Blessing Agyei Kyem. Armstrong Aboah Expert Systems with Applications, 2025 paper / arxiv /
	Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images Blessing Agyei Kyem,Joshua Kofi Asamoah, Armstrong Aboah Construction and Building Materials, (Not Online Yet) 2025. arxiv /
	Weather-Adaptive Synthetic Data Generation for Enhanced Power Line Inspection Using StarGAN Blessing Agyei Kyem,Joshua Kofi Asamoah, Armstrong Aboah IEEE Access, 2024. paper /