Name Abdulrahman E. Alkurdi
Label Generalist Engineer
Email abdul.alkurdiatgmaildotcom
Phone (217) 979-7913
Summary A ML expert, looking for the next challenge in life!


  • '16 - '24
    Research and Teaching Assistant
    University of Illinois at Urbana-Champaign
    Conducting research in the field of machine learning and teaching undergraduate and graduate students in the field of mechanical engineering and machine learning.
    • Engineered a robust multi-modal ML framework for real-world application, significantly enhancing system deployment readiness.
    • Implemented denoising algorithms & generated data to boost detection accuracy and model reliability in diverse environments.
    • Advanced sensor fusion methodologies to optimize data quality for ML processing, markedly improving detection performance.
    • Created data pipelines and engineered features robust to environmental disturbances, yielding improved model performance.
    • Managed participant recruitment, coordination, & collection of clinical experiments, ensuring well-labeled & accurate datasets.
    • Led a team of 30 graduate and undergraduate students, mentoring, coordinating, and evaluating.
  • '15 - '16
    Research Associate
    Joint Center of Excellence at KACST and Stanford University
    Experimental research on flight dynamics to aid in stall and spin detection and recovery.
    • Spearheaded the design and optimization of bespoke subscale aircraft test beds, significantly advancing stall-spin (SS) research through the integration of advanced signal processing, sensor fusion, and machine learning flight classification algorithms.
    • Enhanced stall and spin prediction models with innovative sensor fusion, denoising, and machine learning classification algorithms.
    • Optimized Data Acquisition system, & data management to increase operational flight-testing efficiency.
    • Engineered a novel fail-safe SS detection controller using predictive analytics, setting new standards in SS prediction and recovery systems, contributing to advancing aerospace safety protocols.
    • Created novel methodologies to evaluate airflow conditions and characteristics through hardware and software design.
  • '11 - '15
    Machinery Diagnostics Engineer
    • Pioneered the use of data mining to provide insights, significantly improving productivity and reliability metrics.
    • Provided critical engineering support globally, enhancing productivity across 90 affiliates.
    • Led the revamp of engineering SOPs, streamlining procedures across SABIC's global operations.
    • Spearheaded lean manufacturing initiatives, improving production records by 15% and operational efficiency by 12%.


  • '19 - '24

    Urbana, IL

    University of Illinois at Urbana-Champaign
    Mechanical Engineering, Applied Machine Learning
    • Deep Learning
    • Reinforcement Learning
    • Generative AI
    • Abstract Linear Algebra
    • Artificial intelligence
    • Probability and Statistics
  • '16 - '19

    Urbana, IL

    Master of Science
    University of Illinois at Urbana-Champaign
    Aerospace Engineering
  • '11 - '10

    Bethlehem, PA

    Master of Engineering
    Lehigh University
    Mechanical Engineering, Manufacturing
  • '07 - '10

    Bethlehem, PA

    Bachelor of Science
    Lehigh University
    Mechanical Engineering


Native speaker