Country: United Kingdom
Education: PhD or Doctorate
Affiliation: De Montfort University, Leicester, UK
Domain of Research: Intelligent Systems, Artificial Intelligence, Automated Planning And Scheduling, Business Intelligence, Combinatorial optimization, Evolutionary Algorithms, Genetic Algorithm, Knowledge Engineering and Mining, Knowledge Representation, Planning, Problem Solving
Biography: Dr Parminder Singh Kang is working as a Research Fellow at De Montfort University (DMU), Leicester, UK. His main responsibilities are providing the academic lead and day to day management of externally funded research projects. Dr Kang received B-Tech degree (Computer Science and Engineering) in 2006 form Punjab Technical University, India. He received M.Sc. degree (IT) in 2008 and completed his PhD (Improving Manufacturing Systems Using Integrated Discrete Event Simulation and Evolutionary Algorithms) in Manufacturing Science in 2012 at DMU, UK. He is member of institution of mechanical engineers (IMechE), Institution of Engineering and Technology (IET) and The American Society of Mechanical Engineers (ASME). He has over 5 years of experience working on externally funded collaborative industrial R&D cross-disciplinary project in the area of organizational operations optimization. His research interests are; evolutionary algorithms, combinatorial optimization, simulation modelling, Lean/Six Sigma, autonomous decision making and application of these techniques (integrated approaches) in industrial/service process improvement and operations optimization.