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Engineering Design Centre

Dr Mohammad Hassannezhad

 

Dr Mohammad Hassannezhad

Dr Mohammad Hassannezhad

Research Associate in Business Process Modelling

Research groups: Change Management Group, Process Management Group
Telephone: +44 1223 748565
Email: mh844@eng.cam.ac.uk

Photo of Dr Mohammad Hassannezhad

Biography

  • Proudly the receipent of UK Exceptional Talent Visa in the field of Engineering Design endorse by the Royal Academy of Engineering;
  • Researching on Re-Thinking the Future of Decision-Making at the intersection of a number of fields such as Engineering Design, Change Management, Systems Engineering, Network Science, Machine Learning, Data Science, and Probability Theory;
  • Developed the Decision Propagation System, an Integrated Data-Driven methodology to anticipate the consequence of overlapping decisions in tightly connected network of today's manufacturing and business systems;
  • Specialised in design, software prototyping, and delivery of ground-breaking computational models, with focus on Connectivity, Communication, and Change;
  • Ten years of experience of working with a variety of leading parties in aerospace (Rolls-Royce), agriculture (John Deere, Iran-Pump), automotive (Fiat Powertrain, CNH Industrial, Iran-Khodro Powertrain), and telecom (Italian Telecom, British Telecom) sectors;
  • Currently, Research Associate at the Engineering Design Centre (EDC) of Cambridge University, fully funded by Rolls-Royce and British Telecom, responsible for developing innovative high-performance modelling of interconnected business decisions: these models are at the forefront of our understanding of business decision modelling;
  • Previously, developed an award-winning design process modelling method called Actor-Based Signposting and consequently appointed as a Product Development Consultant by STC, an engineering consultancy specialised in Product Design and Development;

 

Current Projects

  • High-Performance Modelling for Business Agility and Growth, by understanding how local and global consequences of decisions can be propagated across the organisational system;
  • Designing Data-Enabled Cyber-Physical Decision System, by understanding the channels of information and the mechanism of interdependencies between system drivers;
  • Designing Resilient System Architecture, through understanding the mechanism of change propagations and the changeability of system components;

 

Available position

To find out the currently funded opportunities, please have a look at the university job portal (http://www.jobs.cam.ac.uk/). However, if you are bright and passionate enough to pursuing (part-time or full-time) MSc thesis or PhD within the Process and Change Management Groups, and that you can provide fundings from an external source, do not hesitate to send me your CV and a one-page research proposal via E-mail.

 

Selected Publications

DECISION / CHANGE MODELLING

Connectivity as the Capacity to Improve an Organization's Decision-Making. Hassannezhad M, Cassidy S, Clarkson PJ, 2019. In: Proceedings of the 29th CIRP Design Conference, Portugal. Available from ResearchGate.

A Normative Approach for Identifying Decision Propagation Paths in Complex Systems. Hassannezhad M, Clarkson PJ, 2018. In: Proceedings of the 15th International Design Conference (DESIGN2018), Dubrovnik, Croatia, pp. 1559-1570. Available from DesignSociety.

Dynamic Modelling of Relationships in Complex Service Design Systems. Hassannezhad M, Cassidy S, Clarkson PJ, 2017. In: Proceedings of the 21st International Conference on Engineering Design (ICED’17), Vancouver, Canada. Available from DesignSociety.

Analytical Investigation of Mobile NFC adaption with SWOT-AHP approach: A case of Italian Telecom. Mehmood F, Hassannezhad M, Abbas T, 2014. Procedia Technology, 12, pp. 535-541. Available from ScienceDirect.

PROCESS MODELLING

Managing Socio-Technical Complexity in Engineering Design Projects. Hassannezhad M, Cantamessa M, Montagna F, Clarkson PJ, 2019. Journal of Mechanical Design: Transactions of ASME, 141(8), DOI:10.1115/1.4042614. Available from ASME - Featured Article.

Functionality of Cambridge Advanced Modeller: A Systematic Qualitative-Quantitative Approach. Barzegar F, Hassannezhad M, Cantamessa M, Clakrson PJ, 2018. Technical Report, University of Cambridge Engineering Department, CUED/C-EDC/TR/168.

Internal and External Involvements in Integrated Product Development: A Two-Step Clustering Approach. Hassannezhad M, Clarkson PJ, 2017. Procedia CIRP, 60, pp. 253-260. Available from ScienceDirect.

Actor-Based Signposting: A Modelling Tool to Support Design Process Improvement. Hassannezhad M, Cantamessa M, Montagna F, 2015. In: Proceedings of the 20th International Conference on Engineering Design (ICED’15), Milan, Italy. Available from DesignSociety.

Utilizing the Modified Self-Adaptive Differential Evolution Algorithm in Dynamic Cellular Manufacturing System. Hassannezhad M, Javadian N, 2012. International Journal of Applied Meta-heuristic Computing, 3(2), pp. 1-17, DOI: 10.4018/jamc.2012040101. Available from IGI.

 

See the full list of publications in ResearchGate.