Scholar
Blessing Agyei Kyem
Google Scholar ID: RICoHtIAAAAJ
Phd Student, North Dakota State University
Citations & Impact
Citations
57
H-index
5
i10-index
3
Publications
11
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- PaveCap has been accepted for publication at the ASCE Journal of Transportation Engineering, Part B: Pavements.
- Paper titled 'A Memory-Augmented Transformer with Multi-Scale Spatio-Temporal Modelling for Network-Wide Traffic Flow Prediction' has been accepted for presentation at TRB 2026.
- Paper 'Self-Supervised Multi-Scale Transformer with Attention-Guided Fusion For Efficient Crack Detection' has been accepted for publication at Automation in Construction and will be presented at TRB 2026.
- Paper 'Demographics-Informed Neural Network for Multi-Modal Spatiotemporal Forecasting of Urban Growth and Travel Patterns Using Satellite Imagery' has been accepted in NeurIPS 2025 Workshop on UrbanAI.
- Paper '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.
- Paper 'An Enhanced Lightweight Model for Real-time Pavement Condition Index Prediction' has been accepted for presentation at the TRB 2026 Conference.
- Three research papers have been accepted at ICCV 2025.
- 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.
- Paper 'Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement Images' has been accepted for publication at Construction and Building Materials.
- Paper 'A Big Data Approach to Pavement Distress Detection' has been accepted for oral presentation at the International Conference on Big Data Analytics 2025.
- 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.
- Paper titled 'Weather-Adaptive Synthetic Data Generation for Enhanced Power Line Inspection Using StarGAN' has been accepted for publication at IEEE Access.
- Paper titled 'A novel methodological framework for assessing traffic sign retroreflectivity using Lidar data' has been accepted for presentation at the TRB 2025 Conference.
- 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.
- Paper 'Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis' has been accepted at ICCV 2025.
Research Experience
- Conducting research on multi-modal AI in computer vision, agentic AI, and their applications in transportation and pavement engineering at the SMART Lab.
Education
- Second-year PhD student at the Sustainable Mobility and Advanced Research in Transportation (SMART) Lab at North Dakota State University, under the supervision of Armstrong Aboah.
Background
- Research interests include deep learning, computer vision, LLMs, multimodal LLMs, and agentic AI. Focuses on applications in transportation and pavement engineering.
