Dr Lyubo Mishkov

Management School

University Teacher in Digital Information Innovation and Management

l.mishkov@sheffield.ac.uk
+44 114 222 3271

Full contact details

Dr Lyubo Mishkov
Management School
Office C14
Sheffield University Management School
Conduit Road
Sheffield
S10 1FL
Profile

Prior to joining the Management School as University Teacher in Digital Information Innovation and Management, I have completed my MBA and PhD here.

Before returning to academia, I have spent several years running my own IT consultancy firm with focus on business information systems and automated decision making.

Research interests

My research interests are generally in the domain of Artificial Intelligence for research and business.

I have used extensively multi-disciplinary analytical methods (Decision trees, Neural and Bayesian networks) to develop innovative socio-economic profiling of business tax evaders with implications for public policy (my PhD).

I have special interest in:

  • Predictive and Prescriptive Analytics
  • Cognitive computing and Automated Knowledge Acquisition
  • Deep learning and Reasoning

Current project title: "Predictive Analytics feasibility study – optimising NHS Rotherham healthcare"

Overview:

Aligned to the NHS Long Term plan, the project aims to build a collaboration between a healthcare provider (Rotherham NHS Foundation Trust), the University of Sheffield (Computer Science Department, Management School, School of Health and Related Research) and a local company (Deeper than Blue), specialising in business innovation.

This project is funded by Research England (HEIF) and is core Knowledge Exchange for University of Sheffield.

Project Impact:

The Rotherham NHS Foundation Trust is one of the most forward-thinking trusts in the UK, which is at the leading edge of health service reform.

This is underpinned by the significant investment in their data warehouse and patient intelligence solutions – software and hardware wise.

The Trust is looking to optimise clinical pathways, making them more efficient as well as clinically effective.

This is where TUoS will assist with predictive and prescriptive analytics solutions, while forging long-lasting industry-academia partnership for the benefit of the region and beyond.

Teaching interests

I believe my combination of practical and academic experience places me well to make a valuable contribution to Operations Management and Decision Sciences Division and in particular to prepare taught students for the real business challenges.

I continuously pursue innovation in research and teaching and in respect of my industry experience, I trust that is crucially important for the competitive learning and working ethos I seek to provide to students.

Maintaining an active status as a Chartered Manager (Chartered Management Institute) in combination with IBM Academic Initiative membership, enhances my professional ability to create contemporary learning experience.