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Mr Bakhtiyar Ahmed

Research project: Intervention Evolution Engine: A Machine Learning-Driven Intelligent Decision Support Platform for the Advancement of eHealth Service Delivery

Abstract

This research realised the systems development life cycle of an intelligent decision support platform centred on machine learning models that reliably predict (predictive analytics) and recommend (recommender system) randomised evidence-based interventions. The outcomes of which are routinely evaluated to continuously evolve and optimise the effectiveness of interventions for subsequent application.

  • Research degree: PhD
  • Title of project: Intervention Evolution Engine: A Machine Learning-Driven Intelligent Decision Support Platform for the Advancement of eHealth Service Delivery
  • Research supervisor: Dr Nada Philip

Biography

Computer Science has become a growingly significant aspect of my life; providing me with the confidence to continue my passion by studying towards a PhD. I studied Computer Science for my Bachelor's, achieving a First-Class Honours before pursuing a Master's in Business Information Technology, achieving not only a Distinction but also the Course Director's Prize for attaining best all-around performance. For the past five years, I have been working for Kingston University in a number of significant capacities, ranging from Systems & Data, Operations and Reward Analyst to Technical Research and Innovation Associate. I am an Associate Fellow of the Higher Education Academy as well as an Associate Member of the British Computer Society. Elsewhere, I have made efforts to broaden my knowledge, completing several industry-approved courses such as the Microsoft Professional Program Certificate in Data Science and Columbia University's Data Science for Executives.

Areas of research interest

  • Artificial Intelligence
  • Business Analysis
  • Computer Science
  • Data Science
  • Information Management
  • Information Systems
  • Knowledge Management
  • Machine Learning
  • Project Management
  • Software Engineering

Qualifications

  • MSc in Business Information Technology, Kingston University London
  • BSc(Hons) Computer Science, Kingston University London
  • Associate Fellowship in Higher Education Academy (AFHEA)
  • Microsoft Professional Program Certificate in Data Science, Microsoft
  • Microsoft Excel for the Data Analyst, Microsoft
  • Data Science for Executives, Columbia University, New York
  • Associate Member of the British Computer Society (BCS)

Publications

Ahmed, B., Dannhauser, T. and Philip, N. (2018). A systematic review of reviews to identify key research opportunities within the field of eHealth implementation. Journal of Telemedicine and Telecare.

Conference papers

Ahmed, B., Dannhauser, T. and Philip, N. (2018). Intervention Evolution Engine - An Intelligent eHealth Service Delivery Platform. In: 23rd UK Academy for Information Systems International Conference. Oxford, UK.

Ahmed, B., Dannhauser, T. and Philip, N. (2018). A Lean Design Thinking Methodology (LDTM) for Machine Learning and Modern Data Projects. In: 10th Computer Science and Electronic Engineering Conference. Essex, UK.

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