skip to primary navigationskip to content

Cambridge Service Alliance

developing new understanding and approaches to complex service systems

Studying at Cambridge

 

Career Profile Talk - Dr Mohamed Zaki

last modified Mar 04, 2016 11:29 AM
Video - Dr Mohamed Zaki, Alliance Big Data and Analytics research lead, gives a career talk profile to Cambridge Unveristy Press Education department. Find out how he came to research in this area and his background studies.

Dr Mohamed Zaki is a research associate at Cambridge Service Alliance. He is leading the Big Data and analytics for service research. 

Mohamed’s key research interests lie in the field of Big Data analytics and its implication on manufacturing, service science and business model innovation. His research uses an interdisciplinary approach of Big Data technology to address a range of real organizations problems to make better business decisions within complex service network. He is working in many research projects in collaboration with business industries such as BAE systems, Caterpillar, IBM, Pearson and Zoetis. Mohamed is also a member of the Steering Board of the Cambridge Big Data Strategic Research at the University of Cambridge. He is a co-investigator in EPSRC research networks such as Consumer Goods, Big Data, and Redistributed Manufacturing (RECODE) and EPSRC-Digital Economy (NEMODE). Recently, he is appointed as a research associate member at St Edmund's College, University of Cambridge.

[more]

RSS Feed Latest news

Webinar - Customer Loyalty Predictive Model

Jan 10, 2017

9 January 2017 - The Fallacy of the Net Promoter Score: Customer Loyalty Predictive Model - Mohamed Zaki

Webinar - Feedback from the Frontline

Dec 13, 2016

12 December 2016 - Feedback from the Frontline: Engaging front-line employees in service innovation - Florian Urmetzer

Ecosystems Value Framework Paper

Dec 12, 2016

The December Paper on 'The Ecosystem Value Framework: Supporting Managers to Understand Value Exchange between Core Businesses in Service Ecosystems', by Florian Urmetzer, Veronica Martinez and Andy Neely.

December 2016 Newsletter

Dec 01, 2016

December 2016 Alliance Newsletter

Classification of Noisy Data

Nov 28, 2016

November paper on 'Classification of Noisy Data: An Approach Based on Genetic Algorithms and Voronoi Tessellation' by Abdul Rauf Khan, Henrik Schiøler, Torben Knudsen, Murat Kulahci and Mohamed Zaki

View all news

Upcoming events

Shift to Services Executive Education Programme

Apr 04, 2017

IfM, Cambridge, UK

Cambridge Service Week 2017 - Academic Conference

Oct 05, 2017

IfM, Cambridge, UK

Upcoming events