Who am I

Research focus / PhD project

My research focuses on addressing inefficiencies in supply chain management for contraceptive products in developing countries. These inefficiencies often lead to shortages, limiting women’s reproductive autonomy and exacerbating societal challenges. By integrating probabilistic forecasting with inventory optimization, I aim to create a novel approach that accounts for uncertainties, poor data quality, and local demand variations. This interdisciplinary project involves collaboration with scholars from Cardiff Business School, the School of Computer Science & Informatics, and the United States Agency for International Development (USAID). The goal is to improve access to contraceptives, reduce unintended pregnancies, and prevent unsafe abortions, ultimately benefiting women, healthcare providers, governments, and donor organizations.

By utilizing data analytics, forecasting, machine learning, deep learning, probabilistic modelling, computer vision, and natural language processing, this PhD study will explore how climate change risks, particularly rising sea levels and increased flooding, will shape the future delivery of health and care services. This research is supported by four partners: Public Health Wales, the Future Generations Commissioner for Wales, Natural Resources Wales, and the Office for National Statistics.

Supervision team

• Lead: Prof Bahman Rostami-Tabar, Data Lab for Social Good Research Group, Cardiff Business School, UK

• Co: Prof Aris Syntetos, Cardiff Business School, UK

• Co: Dr Federico Liberatore, School of Computer Science and Informatics, UK

• Collaborator: Glenn Milano, Global Health Supply Chain, Bureau for Global Health, United States Agency for International Development (USAID)

• Lead: Prof Bahman Rostami-Tabar, Data Lab for Social Good Research Group, Cardiff Business School, UK

• Co: Dr Thomas Woolley, Cardiff University School of Mathematics, UK

• Co: Dr William Bennett, Lecturer in Civil Engineering, Swansea University, UK

Funder

Welsh Graduate School for the Social Sciences (WGSSS)

Partners

Public Health Wales, The Future Generations Commissioner for Wales, Natural Resources Wales, The Office for National Statistics.

Teaching & training

• Graduate tutor: Forecasting and Business Analytics modules (Cardiff).
• Delivered workshops and short courses: Introduction to Python for researchers, time series forecasting workshops for pharmaceutical officers in Ethiopia, Quarto website training for R users.

Technical skills

Languages & tooling: R (tidyverse, tsibble, fable), Python (pandas, mlforecast), Quarto, Git/GitHub, Docker, LaTeX/TikZ Forecasting & ML: State‑space models, Tobit/Kalman approaches, conformal prediction, LightGBM/XGBoost, probabilistic forecasting, hierarchical forecasting Supply chain / domain tools: LMIS/DHIS2 contexts, inventory simulation, demand censoring and lost‑sales handling Reproducibility & deployment: renv, Quarto websites, GitHub Actions, containerised evaluation (CHAP)

Language: Persian (Mother Tongue), English (Foreign Language), TOEFL: 110/120, R:29, L:30, S:24, W:27 (Jul. 2025), GRE: 328/340, Q:169, V:159, W:4 (Nov. 2022) Programming and AI: Python, Data Analytics, Machine/Deep Learning, Computer Vision, Statistical Learning, Forecasting, NLP, GenAI, LLMs, TensorFlow, PyTorch, Git, GAN, RNN, Signal Processing, Robotics, ROS, RL Software: Microsoft Project, Autodesk Autocad(2D), Microsoft Office