Transportation Infrastructure
Pavement condition assessment, transportation asset management, UAV-based inspection, and infrastructure decision support.
Civil Engineering · University of Wyoming
Engineering smarter ways to inspect, understand, and manage infrastructure.
I am Estiak Ahmed, an M.S. student in Civil Engineering and Graduate Teaching Assistant at the University of Wyoming. My work combines transportation infrastructure, UAVs, computer vision, LiDAR, GIS, BIM, and data-driven engineering.
About
Research grounded in real infrastructure problems
My current research centers on transportation infrastructure and pavement management, especially automated condition assessment using UAV imagery, geospatial data, and computer vision. I am interested in turning sensing and AI outputs into information that engineers can use for infrastructure management and decision-making.
My broader technical background includes remote sensing, Web GIS, LiDAR point-cloud analysis, BIM, fire and evacuation simulation, building environmental systems, and engineering education.
M.S. Civil EngineeringUniversity of WyomingAug 2025 - Present · GPA 3.83 / 4.00
B.S. Building Engineering & Construction ManagementKhulna University of Engineering & Technology2018 - 2024 · CGPA 3.39 / 4.00
Research
Current research directions
A multidisciplinary focus connecting civil infrastructure, sensing, geospatial systems, and AI.
AI + Geospatial Analytics
Computer vision, YOLO/CNN workflows, LiDAR, remote sensing, photogrammetry, and Web GIS for civil infrastructure applications.
Smart Buildings + BIM
BIM, digital construction, fire safety modeling, evacuation analysis, thermal comfort, IEQ, and building performance.
Featured research
UAV-Based Pavement Crack Detection in Wyoming
Comparing computer vision models for UAV-based pavement crack detection and connecting model outputs to pavement management applications. The first-author paper has been recommended for presentation at the 2027 Transportation Research Board Annual Meeting.
Scholarship
Selected publications and scholarly activity
Comparing computer vision based models for UAV-based pavement crack detection in pavement management: A case study in Wyoming
Ahmed, E., Abdelaty, A., & Khan, S.
Recommended for presentation at the Transportation Research Board Annual Meeting, Washington, D.C., 2027.
Determining the optimal window size and orientation of an academic building in subtropical climate
Anzum, A., Rana, M. J., Ahmed, E., & Rahman, S. (2025)
International Journal of Building Pathology and Adaptation
View DOIReducing false alarms in buildings with UAV-based fire detection and monitoring through a cloud-integrated approach
Ahmed, E., Bhattacharjee, A., & Anzum, A. (2025)
View DOIAutomation in construction quality control: Integrating UAV, CNNs, and photogrammetry for structural element detection and measurement precision
Bhattacharjee, A., Ahmed, E., & Rana, M. J. (2025)
View DOIA comprehensive review and paradigm framework on Human-AI collaboration in construction management
Joy, M. K., Ahmed, E., & Anzum, A. (2026)
Presented at IConIC 2026, University of Florida.
Peer Review ActivityReviewer, Journal of Building EngineeringReviewer, International Journal of Building Pathology and Adaptation
Projects
Selected technical projects
Use the filters to explore work across transportation, AI, remote sensing, GIS, and building systems.
GIST 5450LiDAR + ML
Automated Road Surface Detection from USGS 3DEP LiDAR
Built a two-stage road-surface extraction workflow using CANUPO, Random Forest, DBSCAN, and PCA-based morphological filtering.
- Processed a 10.35M-point I-80 tile.
- Applied the model to an independent 5.50M-point US-287 tile.
- Reduced 361 predicted clusters to 8 elongated road candidates.
ATSC 5009Deep Learning
Multi-Generational YOLO for Building Crack Detection
Benchmarked YOLOv8, YOLOv11, YOLOv12, and YOLO26 under identical training conditions on the METU Concrete Crack Dataset.
- Compared precision, recall, mAP@50, and inference speed.
- YOLOv11 reached 93.2% precision and 0.896 mAP@50.
- Evaluated deployment tradeoffs for structural inspection.
GIST 5111Remote Sensing
Coastal Land-Water Change Detection in Bangladesh
Used Landsat imagery from 2015 and 2025 with NDWI classification to quantify coastal land-water change.
- 11.5% decrease in non-water area.
- 15.4% increase in water area.
- Applied remote-sensing change detection for coastal assessment.
GIST 5300Web GIS
Interactive Construction Site Monitoring WebGIS
Developed an ArcGIS JavaScript API application using ES modules, GeoJSON, custom CSS, filtering, heatmaps, popups, click-to-zoom, and layer controls.
Undergraduate ThesisBIM + Simulation
BIM-Based Fire Safety and Evacuation Simulation
Developed a BIM-based framework integrating fire and smoke analysis with pedestrian evacuation simulation for life-safety planning.
Conference ResearchUAV + CV
Automated Construction Quality Control
Studied UAV imagery, CNNs, and photogrammetry for structural element detection and measurement-oriented quality control.
Conference ResearchUAV + Cloud
UAV-Based Fire Detection and Cloud Monitoring
Investigated a cloud-integrated UAV workflow aimed at improving fire detection and reducing false alarms in building applications.
Teaching
Graduate Teaching Assistant
Department of Civil & Architectural Engineering and Construction Management, University of Wyoming
Fall 2026 - Present
HVAC of Buildings ARE 3400 / ME 3400
Conduct class sessions and support instruction in moist-air properties, psychrometrics, air-conditioning processes, comfort and health, indoor environmental quality, and heat transmission through building structures.
Develop homework assignments, answer keys, course materials, and assessments, and grade student work with technical feedback.
Aug 2025 - Spring 2026
Engineering Surveying CE 2070
Served as primary lab and field instructor for 2+ sections totaling 40+ students. Led total-station positioning, leveling, topographic mapping, and field surveying practicums.
Aug - Dec 2025
Exploring CAECM ARE/CE/CM 1000
Graded and assessed approximately 120 first-year students across Civil Engineering, Architectural Engineering, and Construction Management.
Technical Toolkit
Tools and methods
AI / Computer Vision
Python, NumPy, scikit-learn, PyTorch, YOLO, CNN workflows
UAV / Point Clouds
Pix4D, Meshroom, CloudCompare, SfM photogrammetry, LAS/LAZ workflows
GIS / Remote Sensing
QGIS, ArcGIS Desktop, ERDAS Imagine, Web GIS, JavaScript, Landsat/NDWI
BIM / Digital Construction
Autodesk Revit, Navisworks Manage, AutoCAD, Design Review
Simulation
PyroSim, Pathfinder, ETABS, Robot Structural Analysis
Data / Programming
Python, R, JavaScript, C, Fortran
Credentials
Certifications & professional membership
FAA Remote Pilot CertificatePart 107 · Federal Aviation Administration
International Teaching Assistant TrainingUniversity of Wyoming
Associate Member (AMIEB)Institution of Engineers, Bangladesh · ID 27574
Leadership
Service and involvement
Vice PresidentUW ITE Student Chapter · 2026 - Present
WinnerCAD Master of Civil Convivial 3.0
Vice PresidentBUILTECH FEST 5.0 · 2023 - 2024
Vice PresidentBECM Technical Club, KUET · 2023 - 2024
Contact
Interested in research collaboration, Ph.D. opportunities, or infrastructure innovation?
I am happy to connect with researchers, faculty, transportation agencies, and industry professionals working at the intersection of civil infrastructure, sensing, and AI.