Contact Dr Maryam Farsi
- Tel: +44 (0) 1234 750111
- Email: Maryam.Farsi@cranfield.ac.uk
- Twitter:
- Blog:
Areas of expertise
- Manufacturing Systems
- Product and Service Design
Background
Dr Maryam Farsi is a Senior Lecturer in Engineering Optimization at Â鶹´«Ã½AV's Faculty of Engineering and Applied Sciences. She obtained her PhD in Nonlinear Structural Mechanics from Imperial College London in December 2014 and her MSc in Civil Engineering Structures from City, University of London in March 2010. Dr. Farsi leads the Complex Systems and Optimization research group at the Centre for Digital Engineering and Manufacturing. Her primary research vision spans three core areas: Systems Engineering, Net-Zero Engineering, and Cost Engineering. She applies her expertise across various domains, including design, aerospace, manufacturing, transport, and healthcare. She is a member of the Institution of Engineering and Technology (MIET), a Fellow of the Higher Education Academy (FHEA), a committee member of the Society for Cost Analysis and Forecasting (SCAF), a member of the Community of Practice (CoP) for the Association of Cost Engineers (ACostE), and an associate editor of the International Journal of Strategic Engineering (IJoSE).
Research opportunities
My research focuses on the development of innovative autonomous systems and system-of-systems optimization, the decarbonization of engineering assets and manufacturing processes through optimized Net-Zero strategies, and the application of artificial intelligence (AI) and digital twin technologies in whole-life cost analysis. My research is mainly quantitative, with particular emphasis on multi-objective optimization to trade-off between economic, environmental and social sustainability. This aspect of my research aims to directly contribute to the increasingly urgent calls for mitigating the impacts of climate change.
Current activities
Project Lead and Lead Researcher:
- Cost of Energy in Net-Zero and Decarbonisation (EPSRC IAA ECR)
Project co-Lead and Lead Researcher:
- Transport Decarbonisation - TransiT (EPSRC)
Research team:
1. Pranav Gosavi: RA in dynamic simulation
2. Ayse Nur Sonmez: PhD in A Digital Twin Approach for Predictive Maintenance Strategy (2023 - 2026)
3. Onobume Okpetu: PhD in An Artificial Intelligence–based Approach to Estimate the Cost of Net-Zero Transition (2022 - 2025)
4. Zhenyao Ma: PhD in Digital Thread for Servitization of High-value Assets at the fleet level (2022 - 2025)
5. Vaishnav Venkata: PhD in Optimising the Trade-Off between Cost, Availability, and Sustainability in Through-Life Engineering Services (2022 - 2026)
6. Shaoyang Peng: PhD in A critical investigation of AI algorithms for thermographic defect characterisation of composite materials (2023 - 2026)
7. Michael Jones: PhD in Automating Data Reporting, Analysis and Corrective Action Systems with Thales UK Ltd (2021 - 2027)
8. Valentina Futoryanova: PhD in Optimising obsolescence in early design phase using AI and dynamic modelling with Oxford Instruments (2021 - 2027)
9. Fatameh Mashak: KTP Associate in obsolescence optimisation (2022 - 2024)
Previous projects:
1. Digitally Optimised Through-life Engineering Services or TES-Digital (ATI funded - March 2023).
2. Servitization optimiser project with Siemens Energy (2019 - 2022)
3. Product-service systems and servitization applications in machine tool sectors (IUK funded - Jun 2019)
4. Supply Chain Mapping for ATMP's Manufacturers (IUK funded - April 2018)
5. Through life Cost of a Component (Rolls-Royce funded - October 2017)
6. Automation of Cell Therapy Cryo-storage Processes and Future Manufacturing Facilities (IUK funded - May 2017)
Clients
Aerospace Technology Institute (ATI)
Babcock International
BAE Systems
Bombardier Transportation
Cell and Gene Therapy Catapult (CGTC)
Machine Tool Technologies Ltd (MTT)
Network Rail
Rolls-Royce
Siemens
Thermo Fisher, UK