I am a Postdoctoral Fellow at Northwestern University. I am ingenious and resourceful Transportation Data Scientist with a proven track record of success in research and hands-on experience developing cutting-edge database solutions, statistical modeling, data products, and computer vision systems aimed at improving transportation system management and operations. Has worked as an architect and application developer on a variety of projects that required the use of data mining and machine learning models to solve large-scale, complex, and difficult transportation problems.
I'm broadly interested in computer vision and machine learning. My research involves visual reasoning, vision and language, image generation, air taxis, naturalistic studies, and autonomous vehicles.
I received my PhD from University of Missouri-Columbia, advised by Yaw Adu-Gyamfi.


[01/01/2023]      Join Northwestern University as a Postdoctoral Student under the Supervision of Dr. Ulas Bagci
[12/17/2022]      Graduated with a PhD from the University of Missouri-Columbia
[11/07/2022]      Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification was accepted for publication
[10/12/2022]      Mobile Sensing for Multipurpose Applications in Transportation was accepted for publication
[06/20/2022]      Oral presentation at CVPR: A Region-Based Deep Learning Approach to Automated Retail Checkout


Undergraduate Students

Teaching/Lab Instructor

University of Missouri-Columbia

2022FS-CV_ENG-3100-01: Transportation Engineering

Tennessee Technological University

CEE3610: Transportation Planning


Driver Maneuver Detection
Armstrong Aboah, Yaw Adu-Gyamfi et al.
Journal of Transportation Engineering Part A: Systems
Pavement Roughness Estimation
Armstrong Aboah, Yaw Adu-Gyamfi
Advances in Data Science and Adaptive Analysis
Vehicle Anomaly Detection
Armstrong Aboah*, Maged Shoman*, Vishal Mandal, Yaw Adu-Gyamfi et al.
CVPR 2021
Automatic Retail Checkout
Maged Shoman*, Armstrong Aboah*, Yaw Adu-Gyamfi et al.
CVPR 2022
Bus Delay Prediction
Maged Shoman, Armstrong Aboah, Yaw Adu-Gyamfi
Journal of Big Data Analytics in Transportation
Pavement Condition Prediction
Ashkan Behzadian, Tanner Wambui Muturi, Amanda Mullins, Armstrong Aboah, Yaw Adu-Gyamfi et al.
Mobile Sensing
Armstrong Aboah, Michael Boeding, Yaw Adu-Gyamfi
GC-GRU-N for Traffic Prediction using Loop Detector Data
Maged Shoman, Armstrong Aboah,Abdulateef Daud, Yaw Adu-Gyamfi
IEEE Transactions on Intelligent Transportation Systems

Side Projects


A simple NLP algorithm for recommending movies. In this project I developed a simple movie recommendation system, that returns the top 10 movies base on a given movie title.


The goal of this Project was to understand the driver's environment in a naturalistic settings.


This repository contains implementations of multiple deep learning models (U-Net, FCN32 and SegNet) for multiclass semantic segmentation of the CamVid dataset.


This project involves a multiclass classification of the weather. Three main multi-classes were considered. They are '[day,rainy]', '[night,clear]', and '[day,clear]'. The project utilizes image data sourced from smarphone camera.

Contact Me