Abdul Rashid Mussah
Summary
Transportation Data Scientist, demonstrating expertise in research methodologies, big data analysis, curation, manipulation, and visualization. With a focus on deriving actionable insights from data and making informed decisions in both academic and industry settings. Employing innovative methodologies to capture and analyze large-scale transportation datasets, while utilizing effective visualization techniques to communicate complex data and facilitate understanding. Proactively seeking opportunities in transportation operations and valuation, and bridging the gap for defining use-cases for big data and artificial intelligence application in the transportation realm, whilst continuously exploring process reengineering solutions to optimize transportation systems.
Overview
5
5
years of professional experience
Work History
Transportation Data Scientist
Jacobs
05.2023 - Current
Working on building internal products to leverage big data analytical workflows for improving traffic and transportation related processes in projects such as:
- NCHRP Freight Data Interoperability Framework for Transportation Planning and Traffic Operations.
- Texas Highway Trunk System Evaluation
- Hawaii DOT Statewide Long-Range Land Transportation Plan
Dragonfly by Jacobs:
- Employing computer vision and deep learning expertise to own and build an AI automated fault detection application, for sewer lines maintenance survey utilizing camera mounted rovers.
Graduate Research Assistant
University Of Missouri System
08.2019 - 12.2023
- Developed cutting-edge quantitative solutions to the most challenging problems including the implementation of data science and ML/DL applications in the Transportation domain.
- Provided advanced technical leadership, guide research, and applications of quantitative methods.
- Develop deep learning and machine learning modeling applications in finding new ways to optimize user experience in the transportation domain.
- Reviewed technical and professional publications and journals to stay current on recent literature and make more strategic research decisions.
- Mentored undergraduate students, providing guidance on research methodologies and techniques.
Data Science Intern
Etalyc Inc.
01.2023 - 05.2023
Overview: Data Science Intern with the Development team leveraging AWS resources such as EC2, S3, SQS, Lambda, Cloudwatch to train, automate and deploy deep learning (computer vision) video analytics applications and pipelines.
- Built backend architecture for the NSF Grant Award #2052257, SBIR Phase II: Information fusion-driven adaptive corridor-wide traffic signal re-timing.
- Applied domain knowledge and technical experience of traffic signal analysis as well as computer vision modeling to develop automated signal optimization algorithms leveraging real-time traffic video feeds.
Education
Ph.D. - Transportation Engineering
University of Missouri - Columbia
Columbia, MO05.2024
Master of Science - Transportation Engineering
The University of Tennessee - Knoxville
Knoxville, TN12.2017
Skills
- Machine Learning
- Python Programming
- Reinforcement Learning
- Real-time Image Processing
- Safety optimization
- Traffic Engineering
- Traffic Simulation
- GIS applications
- Database Management
- Statistical Analysis
- Graph Theory
- Deep Learning Algorithms
Research Experience
- Vehicle Detection & Tracking (Computer Vision): Developed a vehicle detection and tracking model using YOLO + Deepsort and FastMOT algorithms for traffic video feed analysis. Tech: Python, Pytorch, Pandas
- Anomaly Detection (Computer Vision): Developed a traffic anomaly detection model using deep learning powered by an algorithm based on a decision tree model. Tech: Python, YOLO v5, Pytorch, OpenCV.
- Vulnerable Road User Crash Detection (Computer Vision): Combined Image Classification and Monocular Depth estimation models to extract driver response time from naturalistic driving video feed, for driver perception analysis Tech: Python, YOLO v5, Pytorch, & OpenCV.
- Dynamic Roadway Network Risk Spatial Analysis (Spatial Data Science): Developed a data processing pipeline for spatial data analysis of real time traffic state data to develop citywide crash risk prediction maps for St. Louis City. Tech: Python, GIS, ArcPy
- Realistic Artificial Data Generation (Data Science): Processed multi-state, multi-agency roadway crash data for synthetic data generation utilizing statistical and machine learning models.
- Synthetic Roadway Distress Image Dataset Generation (Deep Learning, Computer Vision): Developed a Conditional Generative Adversarial Network model trained on multiple distress class images to learn and produce realistic replications of roadway distress images. Tech: Pytorch, Python, Yolo, OpenCV
Publications
Machine Learning Framework for Real-Time Assessment of Traffic Safety Utilizing Connected Vehicle Data, AR Mussah, Y Adu-Gyamfi, Sustainability 14 (22), 15348
Accelerating Statewide Connected Vehicles Big (Sensor Fusion) Data ETL Pipelines on GPUs, AR Mussah, M Shoman, M Amo-Boateng, Y Adu-Gyamfi, arXiv preprint arXiv:2305.07454
Video Based High-Res Vehicle Trajectory Analysis Framework for Intersection Realtime Safety Risk Assessment, AR Mussah, L Zhang, Y Adu-Gyamfi, Available at SSRN 4683554
Ai-based framework for understanding car following behaviors of drivers in a naturalistic driving environment, A Aboah, AR Mussah, Y Adu-Gyamfi, arXiv preprint arXiv:2301.09315
Artificial intelligence-enabled traffic monitoring system, V Mandal, AR Mussah, P Jin, Y Adu-Gyamfi, Sustainability 12 (21), 9177
Deep learning frameworks for pavement distress classification: A comparative analysis, V Mandal, AR Mussah, Y Adu-Gyamfi
2020 IEEE International Conference on Big Data (Big Data), 5577-5583
Application of 2D Homography for High Resolution Traffic Data Collection using CCTV Cameras, L Zhang, X Yu, A Daud, AR Mussah, Y Adu-Gyamfi, arXiv preprint arXiv:2401.07220
Multidisciplinary Initiative to Create and Integrate Realistic Artificial Datasets, Praveen K Edara, C Sun, H Brown, Peter Savolainen, V Shankar, Bimal Balakrishnan, Yi Shang, S Chakraborty, Yaw Adu-Gyamfi, C Li, Khaled Aati, S Lima, Y Huang, Abdul Rashid Mussah, J Hopfenblatt, FHWA-HRT-23-058, United States. Federal Highway Administration. Office of Corporate Research, Technology, and Innovation Management
Timeline
Transportation Data Scientist
Jacobs
05.2023 - Current
Data Science Intern
Etalyc Inc.
01.2023 - 05.2023
Graduate Research Assistant
University Of Missouri System
08.2019 - 12.2023
Ph.D. - Transportation Engineering
University of Missouri - Columbia
Master of Science - Transportation Engineering
The University of Tennessee - Knoxville
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<ul> <li>Hours per week: 40.</li> </ul> <p><strong>Duties, Accomplishments, and Related Skills:</strong></p> <ul> <li>Supervise and coordinate daily administrative workflows for a team of 15 employees, ensuring timely task execution, adherence to protocols, and consistent performance monitoring.</li> <li>Maintain accurate records and documentation related to property intake, detainee processing, transportation, and deportation; verify and audit files to ensure regulatory compliance, and data integrity.</li> <li>Execute high-volume data entry (up to 8 hours per day), including the entry of case notes, customs documentation, custody logs, and internal reports into secure federal databases.</li> <li>Develop, review, and edit administrative reports and forms for internal use and government audits; ensure completeness, accuracy, and policy alignment.</li> <li>Serve as the primary liaison between facility staff, supervisors, and stakeholders; facilitate clear, professional communication, and documentation flow across departments.</li> <li>Identified discrepancies in data entries and corrected them accordingly.</li> <li>Oversee inventory control processes, including the secure receipt, tracking, and storage of personal property, using standardized procedures and government tracking systems.</li> <li>Conduct routine audits and quality control reviews to ensure that administrative practices meet federal operational standards.</li> <li>Apply sound judgment to evaluate options, solve problems, and make informed recommendations on administrative and operational matters, contributing to efficient workflow management, and compliance with agency standards.</li> <li>Assist in developing and revising privacy and security policies concerning Personally Identifiable Information (PII); identify potential compliance risks, and recommend solutions.</li> <li>Coordinate logistics for detainee transportation to court and medical appointments, manage schedules, and track movement through detailed administrative planning.</li> <li>Conduct roll calls, and ensure accountability through diligent documentation, system updates, and status reporting.</li> </ul> <p>Supervisor: Scott Jackson (949) 456-2706.</p> <p>Permission to contact: Yes.</p> at ProTech USA LLC, Government Contracting<ul> <li>Hours per week: 40.</li> </ul> <p><strong>Duties, Accomplishments, and Related Skills:</strong></p> <ul> <li>Supervise and coordinate daily administrative workflows for a team of 15 employees, ensuring timely task execution, adherence to protocols, and consistent performance monitoring.</li> <li>Maintain accurate records and documentation related to property intake, detainee processing, transportation, and deportation; verify and audit files to ensure regulatory compliance, and data integrity.</li> <li>Execute high-volume data entry (up to 8 hours per day), including the entry of case notes, customs documentation, custody logs, and internal reports into secure federal databases.</li> <li>Develop, review, and edit administrative reports and forms for internal use and government audits; ensure completeness, accuracy, and policy alignment.</li> <li>Serve as the primary liaison between facility staff, supervisors, and stakeholders; facilitate clear, professional communication, and documentation flow across departments.</li> <li>Identified discrepancies in data entries and corrected them accordingly.</li> <li>Oversee inventory control processes, including the secure receipt, tracking, and storage of personal property, using standardized procedures and government tracking systems.</li> <li>Conduct routine audits and quality control reviews to ensure that administrative practices meet federal operational standards.</li> <li>Apply sound judgment to evaluate options, solve problems, and make informed recommendations on administrative and operational matters, contributing to efficient workflow management, and compliance with agency standards.</li> <li>Assist in developing and revising privacy and security policies concerning Personally Identifiable Information (PII); identify potential compliance risks, and recommend solutions.</li> <li>Coordinate logistics for detainee transportation to court and medical appointments, manage schedules, and track movement through detailed administrative planning.</li> <li>Conduct roll calls, and ensure accountability through diligent documentation, system updates, and status reporting.</li> </ul> <p>Supervisor: Scott Jackson (949) 456-2706.</p> <p>Permission to contact: Yes.</p> at ProTech USA LLC, Government Contracting