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Curriculum Vitae - Mohammed Abdalazeem, PhD student in Transportation Engineering at University of Massachusetts Amherst.

General Information

Full Name Mohammed Abdalazeem
Email mamohammed@umass.edu
Phone +1 (413) 629-9311
Website mabdalazeem.com
LinkedIn mohammed-alameen
GitHub ma-mohammed
ORCID 0000-0003-4660-8030

Education

  • Expected Sep 2026
    PhD in Civil Engineering (Transportation Systems)
    University of Massachusetts Amherst, Amherst, MA
    • Dissertation: Data-Driven Approaches to Transit Demand, Urban Safety, and Micromobility Infrastructure
    • Advisor: Dr. Jimi Oke
    • GPA: 3.92/4.00
    • CEE Departmental Fellowship (2023)
  • December 2025
    MS in Computer Science
    University of Massachusetts Amherst, Amherst, MA
    • GPA: 3.71/4.00
  • May 2024
    MS in Civil Engineering
    University of Massachusetts Amherst, Amherst, MA
    • GPA: 3.92/4.00
  • November 2018
    BSc in Civil Engineering, First Class Honors
    University of Khartoum, Khartoum, Sudan
    • First Class Honors (equivalent to Summa Cum Laude)
    • GPA: 7.39/10

Research Experience

  • Jan 2021 - Present
    Graduate Research Assistant
    University of Massachusetts Amherst, Amherst, MA
    • Transit OD Inference from Partial Mobile Ticketing Data: Built machine learning framework to infer complete origin-destination-transfer matrices from boarding-only mobile ticketing data in regional bus network with 40+ routes. Developed passenger typology clustering using hierarchical methods and dynamic time warping. Integrated gradient boosting spatial error correction, reducing MAE by 70% and SMAPE by 85%. Funding Pioneer Valley Transit Authority (PVTA), 2021-2023 (PI J. Oke)
    • Spatial Crash Typology and Risk Prediction: Applied UMAP and Gaussian mixture models to classify 2,480 census tracts into crash typologies using state-level crash records in New England. Identified distinct spatial patterns linked to roadway characteristics and socioeconomic factors. Built predictive models to forecast crash risk by typology. Funding New England University Transportation Center (NEUTC), 2024-2025 (PI J. Oke)
    • Bicycle Infrastructure and Behavior: Designed survey to assess cyclist preferences for map representations and route selection criteria. Analyzing how schematic bicycle maps can influence mode choice and reduce vehicle emissions. Funding Armstrong Fund for Science, 2024-2026 (PI J. Oke)

Teaching Experience

  • Fall 2024, Fall 2025
    Teaching Assistant - Probability and Statistics
    University of Massachusetts Amherst
    • CE-ENGIN 260: Probability and Statistics for Civil and Environmental Engineers
    • Taught classes, led lab sessions, and delivered a full lecture
    • Held weekly office hours covering probability theory, statistical inference, and experimental design
    • Supported cohorts of approximately 160 students each semester through problem-solving sessions
    • Graded exams and assignments; prepared detailed solution guides and rubric-based feedback
  • Fall 2023
    Teaching Assistant - Transportation Systems
    University of Massachusetts Amherst
    • CE-ENGIN 310: Transportation Systems
    • Supported students in transportation operations, network planning, and geometric design
    • Prepared problem sets on traffic flow theory, capacity analysis, and signal control
  • Nov 2018 - Dec 2020
    Teaching Assistant
    University of Khartoum, Sudan
    • Taught and gave tutorials for undergraduate courses Environmental Engineering, Highway and Transportation Engineering, Strength of Materials, Design of Reinforced Concrete Structures, and Theory of Structures
    • Supervised laboratory sessions on water quality analysis and material testing

Mentorship Experience

  • Spring 2026
    Research Mentor
    University of Massachusetts Amherst
    • Henry Bell (UMass Amherst): Comprehensive literature review on barriers to cycling
  • Summer 2023, 2024, 2025
    Research Mentor - NSF REU Program
    University of Massachusetts Amherst
    • Mentored undergraduate researchers in transportation data analysis and Python programming
    • Andrew Ruger (Grinnell College): Survey data quality and micromobility mapping; bot detection in incentivized online surveys
    • Geehan Altayb (Howard University): Bicycle map features and their influence on cycling behavior
    • Vivian Rost-Nasshan (RPI): Vehicular delay patterns using network topology and demographic data

Publications

  • 2020-2026
    Journal Articles (Published)
    • 8 peer-reviewed journal articles (3 in Data Science for Transportation, 2 in Environmental Research Communications, 1 in International Journal of Transportation Science and Technology, 1 in MATEC Web of Conferences, 1 in Data Science for Transportation in press)
  • 2025-2026
    Under Review
    • 3 manuscripts under review
  • 2026
    In Preparation
    • 2 manuscripts in preparation

Conference Presentations

  • 2022-2025
    Lectern Presentations
    • 2025 — TRB Annual Meeting, Washington, D.C.: A Typology-Informed Origin-Destination-Transfer Model for a Bus Transit Network using Mobile Ticketing Data
    • 2024 — INFORMS Annual Meeting, Seattle, WA: Enhancing Road Safety: A Data-Driven Spatial Typology of Crashes in New England
    • 2023 — INFORMS Annual Meeting, Phoenix, AZ: Typology-Enhanced Origin-Destination-Transfer Inference from Noisy Mobile Boarding Observations
    • 2023 — TRB Annual Meeting, Washington, D.C.: Spatiotemporal Trip Chaining Framework for Open Mobile Fare Collection Systems
    • 2022 — INFORMS Annual Meeting, Indianapolis, IN: Spatio-Temporal Trip Pattern Typology Analysis for a Regional Bus Network
  • 2022-2025
    Poster Presentations
    • 2025 — INFORMS Annual Meeting, Atlanta, GA: Optimizing and Deploying Schematic Bicycle Maps with MILP and User Input
    • 2025 — NEUTC Symposium, Northfield, VT: A Roadway Crash Typology of Census Tracts Enables Targeted Interventions
    • 2025 — TRB Annual Meeting, Washington, D.C.: A Spatial Typology Analysis of Crash Characteristics across 2,480 Census Tracts
    • 2022 — TRB Annual Meeting, Washington, D.C.: Trip Pattern Typologies in The Pioneer Valley Bus Transit System
    • 2022 — MassDOT Transportation Innovation Conference, Worcester, MA: Efficient Extraction of Spatiotemporal Bus Passenger Trip Patterns

Technical Skills

  • Programming
    • Python, MATLAB, R, SQL, C++, Git
    • Version control (Git, GitHub)
  • Machine Learning
    • Scikit-learn, XGBoost, TensorFlow, PyTorch
    • NLP (BERT, Word2Vec)
  • Geospatial
    • QGIS, Geopandas, ArcGIS, Google Earth Engine
    • GTFS analysis
  • Transportation
    • TransModeler, VISSIM, TransCAD
    • Travel demand modeling
  • Data Analysis
    • Pandas, NumPy, SciPy
    • Time series analysis, statistical modeling

Awards and Honors

  • 2023-2024
    • UMass Amherst Civil and Environmental Engineering Departmental Fellowship (2023)
    • Graduate School Travel Awards $289 (2024), $210 (2022, 2023)
  • 2018
    • First Class Honors (Summa Cum Laude Equivalent), BSc Civil Engineering, University of Khartoum
    • Best Project Award, University of Khartoum Civil Engineering Department

Professional Service

  • Manuscript Reviewing
    • Discover Public Health (Springer Nature), 2026
    • Journal of Transportation Engineering, Part A — Systems (ASCE), 2026
    • npj Environmental Social Sciences (Springer Nature), 2026
    • Scientific Reports (Springer Nature), 2025, 2026
    • Security Journal (Springer Nature), 2025, 2026
    • Scientific Data (Nature Publishing Group), 2025
    • Applied Network Science (Springer Nature), 2025
    • European Transport Research Review (Springer Nature), 2024
    • Applied Intelligence (Springer Nature), 2022, 2023
  • Conference Reviewing
    • Transportation Research Board (TRB) Annual Meeting (2022, 2023, 2025)
  • Leadership and Service
    • Treasurer, Graduate Student Association, CEE Department, UMass Amherst (2023-2024)

Professional Affiliations

  • Institute of Transportation Engineers (ITE)
  • American Society of Civil Engineers (ASCE)
  • Civil Engineering Students Society (CESS)
  • Institute for Operations Research and the Management Sciences (INFORMS)
  • The Institute of Electrical and Electronics Engineers (IEEE)