Ali Niknejad, PhD
Software Engineer and Researcher

Selected Projects


About


I am a software engineer and academic researcher with expertise in operational research, machine learning, logistics, supply chains and risk management. My current project involves an innovative online platform for the shipping industry.

I tend to use these technologies: C#, .NET, ASP.NET MVC, HTML 5, Entity Framework, SQL Server, Microsoft Azure, JavaScript, Git, AngularJS, CPLEX and Google BigQuery.

Selected Publications


Niknejad, A. and Petrovic, D. (2016) ‘A Fuzzy Dynamic Inoperability Input-Output Model for Strategic Risk Management in Global Production Networks’. International Journal of Production Economics 179 (1), 44-58 Download

Niknejad, A., Petrovic, D., Popplewell, K., Jaekel, F.W. and Pajkovska-Goceva, S. (2016) 'A New Framework for Strategic Risk Analysis in a Global Pump Manufacturing Network'. in Proceedings of the 8th International Conference for Interoperability for Enterprise Systems and Applications. held 2016 at Guimarães, Portugal. Download

Niknejad, A., Popplewell, K. and Petrovic, D. (2016) 'Software Supported Risk Management for the Global Production Networks Configuration'. in Proceedings of the 8th International Conference for Interoperability for Enterprise Systems and Applications. held 2016 at Guimarães, Portugal. Download

Niknejad, A. and Petrovic, D. (2014) ‘Optimisation of Integrated Reverse Logistics Networks with Different Product Recovery Routes’. European Journal of Operational Research 238 (1), 143–154 2014 Download

Palmer, C., Urwin, E.N., Niknejad, A., Petrovic, D., Popplewell, K. and Young, R.I.M. (2017) ‘An ontology supported risk assessment approach for the intelligent configuration of supply networks’. Journal of Intelligent Manufacturing

Afsharian, M., Niknejad, A., and Wäscher, G. (2014) ‘A Heuristic, Dynamic Programming-Based Approach for a Two-Dimensional Cutting Problem with Defects’. OR Spectrum 36 (4), 971–999 2016

Contact Me


Email

aliniknejad@gmail.com

Mobile

+44 (0) 794 776 3734