About Roshan
Dr. Roshan Panahi is a Postdoctoral Scholar in the Department of Civil and Environmental Engineering at the FAMU-FSU College of Engineering. He is passionate about how automated and efficient collection, storage, retrieval, and communication of data can improve the construction industry.
His research spans automation in construction, modular construction, infrastructure resilience, post-disaster recovery, discrete event simulation, computer vision, and large language models. Drawing on industry experience at Skanska and prior R&D work, he integrates simulation, artificial intelligence, optimization, and statistical analysis to deliver practical impact.
He earned his Ph.D. in Construction Engineering and Management from Oregon State University (2024), with a dissertation on automated monitoring of modular construction factories using computer vision.
Programming Skills
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Python
90% -
SQL
75% -
C++
60% -
MATLAB
70% -
R
50%
Frameworks
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Pytorch
70% -
Scikit-Learn
70% -
OpenCV
70% -
NLTK
60% -
Spacy
40% -
Flask
40%
Tools
Power-BI
Tableau
Jupyter
Pandas
Seaborn
Azure / OpenAI API
GitHub
VS Code
Machine Learning
Deep Learning
Computer Vision
Discrete Event Simulation
Large Language Models
Soft Skills
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Self Starter
Strategic Thinker
Leads Projects from Start to Finish
Resume
Professional Experience
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Postdoctoral Scholar
Aug 2025 - Present
FAMU-FSU College of Engineering
• Postdoctoral Scholar in Civil & Environmental Engineering (RIDEr Center), supervised by Dr. Juyeong Choi.
• Contributing to NSF CBET-2302506 on spatiotemporal sustainability methods for post-disaster debris management.
• Expanding research into demolition permitting, infrastructure resilience, agent-based simulation, and AI-assisted recovery workflows. -
Data Scientist
Apr 2024 - Oct 2024
• Enhanced project engineer productivity by ~10% through process automation and AI tooling (OpenAI API, Azure Functions, SQL, QuickBase, Python).
• Developed an AI-powered safety training web application to improve field crew situational awareness.
• Advised management on delay root causes by analyzing data from 250+ projects. -
Data Scientist / Project Engineer Intern
Jun 2022 - Sep 2023
• Built an RFI recommender using NLP, ChatGPT API, computer vision, and Flask to reduce change-order risk from historical design issues.
• Modeled project delay predictability across 250+ projects with ensemble ML methods (Seaborn, Scikit-Learn).
• Supported project engineering workflows including meeting minutes, RFIs, contracts, scheduling, and site inspections. -
Project Engineer
Feb 2013 - Feb 2016
ArashArmeh General Contracting• Coordinated construction activities for residential and office projects, including RFIs, submittals, contracts, progress tracking, and issue resolution.
Education History
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M.Eng., Computer Science
2020 - 2022
Courses: Machine Learning, Computer Vision, Methods of Data Analysis I & II, Scalable Querying & ML, Database Management Systems, Parallel Programming, Computer Graphics Intro/Shaders, Analysis of Algorithms, Operating Systems II, Theory of Computation, Programming Languages
Research Publications
- Roshan Panahi; Joseph Louis; Ankur Podder; Colby Swanson; Shanti Pless; Samira Mirhasani, Monitoring Installation of Partially Occluded Subassemblies in Modular Construction Factories Using BIM, Ray Tracing, and Computer Vision, Construction Robotics, 2025. https://doi.org/10.1007/s41693-024-00148-4
- Roshan Panahi; Joseph Louis; Ankur Podder; Colby Swanson; Shanti Pless, Bottleneck Detection in Modular Construction Factories Using Computer Vision, Sensors, 2023. https://doi.org/10.3390/s23083982
- Roshan Panahi; Joseph Louis; Ankur Podder; Shanti Pless; Colby Swanson; Melika Jafari, Automated Progress Monitoring in Modular Construction Factories Using Computer Vision and Building Information Modeling, ISARC, 2023. Best Paper Award ISARC 2023
- Roshan Panahi; Joseph Louis; Colby Swanson; Ankur Podder; Shanti Pless, Automated Assembly Progress Monitoring in Modular Construction Factories Using Computer Vision-based Instance Segmentation, i3CE, 2023. https://doi.org/10.1061/9780784485224.036
- Roshan Panahi; John-Paul Kivlin; Joseph Louis, Request for Information (RFI) Recommender System for Pre-Construction Design Review Application Using Natural Language Processing, Chat-GPT, and Computer Vision, i3CE, 2023. https://doi.org/10.1061/9780784485224.020
- Roshan Panahi; Joseph Louis; Ankur Podder; Colby Swanson, Tracking Volumetric Units in Modular Factories for Automated Progress Monitoring Using Computer Vision, CRC, 2022. https://doi.org/10.1061/9780784483961.086
- Roshan Panahi; Joseph Louis; Nicholas Aziere; Ankur Podder; Colby Swanson, Identifying Modular Construction Worker Tasks Using Computer Vision, i3CE, 2021. https://doi.org/10.1061/9780784483893.118
- Roshan Panahi, Automated Monitoring of Modular Construction Factories using Computer Vision, Ph.D. Dissertation, Oregon State University, 2024. OSU ScholarsArchive
Portfolio
Contact Information
- Affiliation: FAMU-FSU College of Engineering, Tallahassee, FL
- E-mail: rpanahi@eng.famu.fsu.edu
- E-mail: roshanpanahico@gmail.com
- Profile: RIDEr Center


