Contact Dr Maryam Farsi
- Tel: +44 (0) 1234 750111
- Email: Maryam.Farsi@cranfield.ac.uk
- Twitter: @DrMaryamFarsi
- Blog: https://www.igi-global.com/journal/international-journal-strategic-engineering/175350
- ORCID
- Google Scholar
- ResearchGate
Areas of expertise
- Manufacturing Systems
- Product and Service Design
Background
Dr Maryam Farsi is a Senior Lecturer in Engineering Optimization at Cranfield University'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
Publications
Articles In Journals
- Fernández del Amo I, Erkoyuncu JA, Bułka D, Farsi M, Ariansyah D, .... (2024). Advancing Fault Diagnosis Through Ontology-Based Knowledge Capture and Application. IEEE Access, 12
- Latsou C, Farsi M & Erkoyuncu JA. (2023). Corrigendum to “Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach” [J Manuf Syst 67 (2023) 242–264]. Journal of Manufacturing Systems, 68
- Latsou C, Farsi M & Erkoyuncu JA. (2023). Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach. Journal of Manufacturing Systems, 67(April)
- Zhou H, Farsi M, Harrison A, Parlikad AK & Brintrup A. (2023). Civil aircraft engine operation life resilient monitoring via usage trajectory mapping on the reliability contour. Reliability Engineering & System Safety, 230(February)
- del Amo IF, Erkoyuncu JA, Farsi M & Ariansyah D. (2022). Hybrid recommendations and dynamic authoring for AR knowledge capture and re-use in diagnosis applications. Knowledge-Based Systems, 239(March)
- Farsi M & Erkoyuncu JA. (2021). An agent-based approach to quantify the uncertainty in Product-Service System contract decisions: A case study in the machine tool industry. International Journal of Production Economics, 233
- Vrabič R, Erkoyuncu JA, Farsi M & Ariansyah D. (2021). An intelligent agent-based architecture for resilient digital twins in manufacturing. CIRP Annals, 70(1)
- Farsi M, Latsou C, Erkoyuncu JA & Morris G. (2020). RFID Application in a Multi-Agent Cyber Physical Manufacturing System. Journal of Manufacturing and Materials Processing, 4(4)
- Farsi M, Erkoyuncu JA, Steenstra D & Roy R. (2019). A modular hybrid simulation framework for complex manufacturing system design. Simulation Modelling Practice and Theory, 94
- Daneshkhah A, Hosseinian-Far A, Chatrabgoun O, Sedighi T & Farsi M. (2018). Probabilistic Modeling of Financial Uncertainties. International Journal of Organizational and Collective Intelligence, 8(2)
- Wadee MA & Farsi M. (2015). Imperfection sensitivity and geometric effects in stiffened plates susceptible to cellular buckling. Structures, 3
- Marom D. (2015). Preface. 2015 International Conference on Optical MEMS and Nanophotonics (OMN)
- Wadee MA & Farsi M. (2014). Local–global mode interaction in stringer-stiffened plates. Thin-Walled Structures, 85
- Wadee MA & Farsi M. (2014). Cellular buckling in stiffened plates. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 470(2168)
Conference Papers
- Addepalli S, Namoano B, Oyedeji OA, Farsi M & Erkoyuncu JA. (2023). Designing a semantic based common taxonomy of mechanical component degradation to enable maintenance digitalisation
- Farsi M, Namoano B, Sonmez AN, Addepalli S & Erkoyuncu JA. (2023). A Robust Design for Lifecycle Cost with Reliability Analysis Integration
- Erkoyuncu JA, Farsi M, Addepalli S & Latsou C. (2023). Design for Digitally Enabled Industrial Product-Services Systems
- Davies O, Makkattil A, Jiang C & Farsi M. (2022). A Digital Twin Design for Maintenance Optimization
- Latsou C, Farsi M, Erkoyuncu JA & Morris G. (2021). Digital Twin Integration in Multi-Agent Cyber Physical Manufacturing Systems
- Latsou C, Erkoyuncu JA & Farsi M. (2021). A multi-objective approach for resilience-based system design optimisation of complex manufacturing systems
- Farsi M, Ariansyah D, Erkoyuncu JA & Harrison A. (2021). A digital twin architecture for effective product lifecycle cost estimation
- Farsi M & Erkoyuncu JA. (2021). An Agent-based Model for Flexible Customization in Product-Service Systems
- Farsi M, Mishra RK & Erkoyuncu JA. (2021). Industry 5.0 for Sustainable Reliability Centered Maintenance
- Farsi M & Erkoyuncu JA. (2021). Industry 5.0 Transition for an Advanced Service Provision
- Farsi M, Bailly A, Bodin D, Penella V, Pinault P-L, .... (2020). An Optimisation Framework for Improving Supply Chain Performance: Case study of a bespoke service provider
- Farsi M, Erkoyuncu JA & Harrison A. (2020). A Super Simple Life-cycle Cost Estimation Model with Minimum Data Requirement
- Farsi M & Erkoyuncu JA. (2020). Toward an Integrated Sustainability Assessment in Through-life Engineering Services
- Farsi M, Grenyer A, Sachidananda M, Sceral M, Mcvey S, .... (2018). Conceptualising the impact of information asymmetry on through-life cost: case study of machine tools sector
- Wadee MA & Farsi M. (2013). Analytical modelling of cellular buckling in stiffened plates
Books
- Farsi M, Namoano B, Latsou C, Subhadu VV, Deng H, .... (2024). Digital Twin Architecture for a Sustainable Control System in Aircraft Engines In Karakoc TH, Colpan CO & Dalkiran A (eds), Sustainable Aviation. Springer Nature Switzerland.
- Farsi M, Daneshkhah A, Hosseinian-Far A & Jahankhani H (eds). (2020). Digital Twin Technologies and Smart Cities (Internet of Things)
- Farsi M, Daneshkhah A, Far AH, Chatrabgoun O & Montasari R. (2018). Crime Data Mining, Threat Analysis and Prediction In Jahankhani Hamid (ed.), Advanced Sciences and Technologies for Security Applications. Springer International Publishing.
- Farsi M, Hosseinian-Far A, Daneshkhah A & Sedighi T. (2017). Mathematical and Computational Modelling Frameworks for Integrated Sustainability Assessment (ISA) In Strategic Engineering for Cloud Computing and Big Data Analytics. Springer International Publishing.
- Daneshkhah A, Hosseinian-Far A, Sedighi T & Farsi M. (2017). Prior Elicitation and Evaluation of Imprecise Judgements for Bayesian Analysis of System Reliability In Hosseinian-Far A, Ramachandran M & Sarwar D (eds), Strategic Engineering for Cloud Computing and Big Data Analytics. Springer International Publishing.
- Farsi M, Hosseinian-Far A, Daneshkhah A & Sedighi T. (2017). Mathematical and computational modelling frameworks for integrated sustainability assessment (ISA) In Hosseinian-Far A, Ramachandran M & Sarwar D (eds), Strategic Engineering for Cloud Computing and Big Data Analytics. Springer International Publishing.