Curriculum Vitae

Amirhossein Ghadiri

PhD Researcher, Data Lab for Social Good, Cardiff Business School

Download PDF Email GitHub LinkedIn Scholar

Education and experience

PhD, Business Management (Data Lab for Social Good)

Oct 2025 – present

Cardiff Business School, Cardiff University

Building methods to make healthcare service delivery in Wales resilient to floods and rising seas, using machine learning, NLP, forecasting, and operations research. Supervised by Prof. Bahman Rostami-Tabar, Dr Thomas Woolley, and Dr William Bennett. Funded by an ESRC studentship through the Wales Graduate School for the Social Sciences.

Visiting Researcher

Sep 2023 – Sep 2025

Purdue University, with Dr Sogand Hasanzadeh

Applied machine learning and large language models to assess the risk of vehicle intrusions into construction work zones, a leading cause of roadwork fatalities.

MSc, Construction Engineering and Management

Sep 2019 – Oct 2022

Amirkabir University of Technology, Tehran · GPA 18.62/20, ranked 2nd in cohort

Thesis: a computer vision and fuzzy logic system for real-time evaluation of personal protective equipment compliance on construction sites. Supervised by Dr Vahid Shahhosseini.

BSc, Civil Engineering

2015 – 2019

Amirkabir University of Technology, Tehran · GPA 15.01/20

Research interests

Machine learningDeep learningComputer vision NLP and LLMsGenerative AIForecasting Operations researchOptimisationSimulation Statistical learningReinforcement learning

Publications

  • Ghadiri, A. and Hasanzadeh, S. Leveraging Large Language Models and Deep Learning for Construction Work Zone Intrusion Risk Assessment. Proceedings of the ASCE International Conference on Computing in Civil Engineering (I3CE 2025). Link
  • Ghadiri, A. and Shahhosseini, V. Combining Computer Vision with Fuzzy Logic for Real-time Evaluation of Personal Protective Equipment Compliance. Under review, International Journal of Occupational Safety and Ergonomics. Code

Technical skills

Languages and tools
PythonRPyTorchTensorFlowGit
Methods
Machine learningDeep learningComputer vision NLP and LLMsGenerative AIForecasting Statistical learningOperations researchOptimisation GANsRNNsSignal processingRobotics and ROS Reinforcement learning
Software
MS ProjectAutoCAD 2DMS Office
Languages
Persian (native)English (TOEFL 110/120)

Honours and standardised tests

  • ESRC Doctoral Studentship (UKRI), Wales Graduate School for the Social Sciences.
  • Ranked 2nd of 17 students in the MSc Construction Engineering and Management cohort.
  • Ranked 591st among more than 200,000 candidates in the national MSc entrance exam.
  • Ranked 75th among more than 30,000 candidates in the civil engineering MSc entrance exam.
  • Ranked in the top 30 of 107 peers in the BSc Civil Engineering programme.
  • GRE 328/340 (Nov 2022) · TOEFL iBT 110/120 (Jul 2025).