About Me
(in about 730 words) and 3-4 minutes to read
Holding Master’s degrees in Industrial Engineering and a Master of Business Administration, I am nearing the completion of my double PhD candidacy at KU Leuven and Hasselt University in Belgium. Specializing in developing and executing federated learning frameworks for healthcare and big data, I focus keenly on their practical applications in the real world.
As a staunch advocate for Findable, Accessible, Interoperable, and Reusable (FAIR) data principles and decentralized and collaborative learning methods, I am committed to enhancing data accessibility and privacy in healthcare research. My enthusiasm for working with Real-World Data is fueled by a foundational belief in the power of interdisciplinary research, leveraging diverse perspectives for impactful insights.
My academic and professional interests encompass Machine Learning Operations (MLOps), and the meaningful application of these technologies in healthcare and beyond, always with an eye towards cross-disciplinary collaboration and innovation.
Double PhD in Federated Machine Learning in Healthcare
KU Leuven - Hasselt University
Leuven-Hasselt, Belgium
09 2019 - Ongoing
- Developed federated data sharing infrastructures in Multiple Sclerosis (MS) research, boosting data acquisition by 50% and creating the largest MS dataset.
- Developed the FL4E framework to simplify federated learning in healthcare, enhancing collaboration and data utilization efficiency.
- Pioneered research in federated learning for MS using routine clinical data, optimizing configurations for improved prognostic predictions, and introduced a novel federation model, resulting in a 14.64% increase in performance metrics.
Research Assistant at Decision Support System Lab
Iranian Research Institute for Information Science and Technology
Tehran, Iran
02 2017 - 03 2019
- Developed an Optimization-Simulation Hybrid Model using System Dynamics and Agent-Based Modeling for Iran Post, achieving a 15% reduction in transportation costs.
- Incorporated a non-dominated sorting genetic algorithm to enhance the hybrid simulation model, achieving significant hub-related cost efficiencies.
- Elevated Information Management Processes at the Iranian Research Institute for Information Science and Technology (MAFA), leading to process optimizations and facilitating decision-making processes.
Education
PhD in Engineering Science
KU Leuven
12 2021 - Ongoing
Thesis: From Centralized to Federated: The Journey of Big Data in Healthcare
Under the supervision of Prof. Yves Moreau
Predoctoral in Engineering Science
KU Leuven
01 2020 - 11 2020
With Prof. Yves Moreau
PhD in Biomedical Science
Universiteit Hasselt
09 2019 - Ongoing
Under the supervision of Prof. Niels Hellings and Prof. Liesbet M. Peeters
Master in Industrial Engineering, Socio-Economic Systems Engineering
Kharazmi University
09 2016 - 01 2019
Thesis: Optimization-Simulation Hybrid Model for Hub-Location Allocation in Postal Service Using Agent-Based Modeling and System Dynamics, Iran postal Office, Case Study
Under the supervision of Prof. HamidReza Izadbakhsh and Prof. Ammar Jalalimanesh
Points: 20/20
Master in MBA in Quality Engineering
Tose`e Higher Education Institute
09 2015 - 09 2017
Bachelor in Industrial Engineering
Science and Culture University - Seraj University
09 2011 - 09 2016
Thesis: Measurement System Analysis and Statistical Process Control, Case Study, ParangNovin Giti Co.
Points: 20/20
Cross-Disciplinary Research Projects
Global Data Sharing Initiative
06 2022
Lead Architecture aiming to scale up COVID-19 data collection efforts.
- Updated Results of the COVID-19 in MS Global Data Sharing Initiative Anti-CD20 With COVID-19
- A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research
Project ATHENA
Ongoing
Data Scientist, aiming to enhance personalized medicine with secure collaboration.
- Augmenting Therapeutic Effectiveness through Novel Analytics: Machine learning
Technical Skills
Languages:
- Python (focus on data analysis and machine learning libraries)
- .Net (for micro-service web applications)
- SQL (for database management)
- R (for statistical analysis)
- HTML5 (basic web technologies)
Developer Tools:
- SQL Server Management Studio (for database management and optimization)
- Git (for version control)
- Docker (for containerization and ensuring consistent environments)
- Terraform (basic level, for infrastructure as code)
Technologies/Frameworks:
- Federated Learning Frameworks (specialization in distributed machine learning techniques)
- Cloud Environments (knowledge of cloud-based data science tools and platforms)
- PyTorch (for deep learning applications)
Certifications
- Oxford ML School Health/Finance - AI for Global Goals
- Deep Learning in Python - DataCamp
- Java Programming and Software Engineering - Coursera
- Advanced ASP.NET Core 3.1 MVC - Udemy
- Kubernetes for the Absolute Beginners - Hands-on - Udemy
- Federated Learning - Udemy
- Django with Data Science - Udemy
- Professional Quality Engineering - IADL
- The Basics of 6 Sigma and the General Yellow Belt of the 6 Sigma - IADL
- Six Sigma Green Belt - IADL
Publications
For the most recent updates on publications, please refer to my Google Scholar profile.
Educational Activities
- Supervised 4 Master's theses in the field of Machine Learning within the AI program - KU Leuven 2022 & 2023
- Teaching Member of Data Science in Healthcare - Hasselt University 2022 & 2023
- Teaching Assistant at System Dynamics - Kharazmi University - 2018
