Dr Parminder Singh Kang – Research Fellow at De Montfort University, Leicester

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    • Dr Parminder Singh Kang – Research Fellow at De Montfort University, Leicester's presentations

    Speaker Bio: 

    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.

    Having educational background and experience in the area of computer science and engineering and manufacturing science Dr Kang’s key competencies are in the area of;

    Operations Management and Manufacturing Science

    – Lean Tools and Techniques, Designing and Modelling (Mathematical and Simulation), Process Improvement, Lead Time Reduction, Cost Reduction, Setup reduction, buffer sizing, Bottleneck Detection and Analysis,    Sequencing, Scheduling (finite capacity scheduling) and Buffer Management, Multi-Objective Combinatorial Optimization, Evolutionary Algorithms, Autonomous planning, scheduling and decision making, Problem Solving and Root Cause Analysis.

    – Experience working with simulation packages (Simul8, Simio and Arena) and Finite Capacity Scheduling (Preactor).

    Computer Science and Engineering;

    Knowledge and experienced in R&D software development for large collaborative research projects, development of Evolutionary Algorithms, Artificial Intelligence Techniques and Autonomous Systems development and using these techniques in process improvement and optimization, algorithm and data structure design for complex systems.

    – Competent in a number of Programming Languages; C/C++, C#, Visual Basic and Java, Handling .COM objects, Advanced multithreading, advanced shell scripting and data base design and management skills.

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