Alireza Alibakhshi

PhD in Computer Science

Biography

Hey there, I’m Alireza Alibakhshi, a PhD student at the University of West London, where I’m on a mission to teach neural networks how to predict the quality index for heart echocardiography (because who doesn’t love telling a computer it’s smarter than them?). When I’m not deep-diving into rotation and foreshortening indexes in echo quality, you’ll find me obsessing over process-mining algorithms or debating whether stochastic optimization is truly random or not.

My toolbox is stacked: I code in Python (NumPy, Pandas, TensorFlow), R, and Java; tinker with SQL Server, MySQL, and MongoDB; and even wrangle data in PowerBI and Arena Simulation. I also have teaching and research capabilities (I hope so.)

I maintain a GitHub lab of experimental code, and I’m always up for a collaboration or a chat about the next big breakthrough in Thrive’s quest to turn medical data into life-saving insights.

Qualifications

  • Computer Science, University of West London, London, United Kingdom, PhD (Ongoing)
  • Industrial Engineering (Data and Systems Analysis), Sharif University of Technology, M.Sc.
  • Industrial Engineering, Shahid Beheshti University, B.Sc.

Supervisors

Dr. Nasim Dadashi Serej
Prof. Massoud Zolgharni

Research Projects

Research Interests

Healthcare Systems - Neural Networks and Deep Learning

Stochastic Optimization - Applied Operations Research

Healthcare Process Management - Process Mining

Data Mining and Data Analytic - Hueristics and Meta-Heuristics

Journal Publications

Alibakhshi, A., & Hassannayebi, E. (2025). Towards an enhanced next activity prediction using attention based neural networks. Cluster Computing, 28(1), 1-25.

Alibakhshi, A., Saffarian, A., & Hassannayebi, E. (2024). Socio-Economical Analysis of a Green Reverse Logistics Network under Uncertainty: A Case Study of Hospital Constructions. Urban Science, 8(4), 171.

Conference Proceedings

Alibakhshi, Alireza and Anbari Moghadam, Saeed and Hassannayebi, Erfan,2025,Robust Optimization of e-Health Systems Under Uncertainty,The 10th International Conference on Industrial and Systems Engineering,Mashhad,https://civilica.com/doc/2254724

Honors And Awards

-Ranked overall 10th in National Universities Nationwide Exam in the field of industrial engineering among 8000 participants, 2021.

-Received Vice Chancellor scholarship from University of West London, 2025.

-Received a bronze medal in the National Industrial Engineering Olympiad, 2021.

-Ranked within top 1.5 Percent among nearly 200,000 participants in “National University Entrance Exam (Concours)”, 2017.