Title: Evolutionary Machine Learning for Business Optimisation

Speaker: Dr Su Nguyen

Summary:

The complexity of optimisation models has increased significantly because of new sophisticated business models and the ever-changing digital landscape. Solving optimisation models quickly and accurately is challenging. To tackle these challenges, recent research has explored the applications of machine learning to design or enhance optimisation algorithms. Dr. Su Nguyen will provide an overview of this emerging field and discuss different ways in which machine learning can support optimisation. He will focus on evolutionary machine learning to discover heuristics and decisions within optimisation techniques for solve hard combinatorial optimisation problems.

Biography:

Su Nguyen is a Senior Lecturer (Business Analytics and AI) and Algorithm Lead at the Centre for Data Analytics and Cognition (CDAC), La Trobe University, Australia. He received his Ph.D. degree in Artificial Intelligence and Operations Research from Victoria University of Wellington (VUW), Wellington, New Zealand, in 2013. His expertise includes simulation-optimization, evolutionary computation, automated algorithm design, interfaces of artificial intelligence and operations research, and their applications in logistics, energy, and transportation. Nguyen has a strong track record in developing simulation models, simulation-based decision support tools, and simulation-optimisation algorithms for industry applications. He has 70+ publications in top peer-reviewed journals and conferences in computational intelligence and operations research. His current research focuses on hybrid intelligence systems that combine the power of modern artificial intelligence technologies and operations research methodologies. He was the chair (2014-2018) of IEEE task force on Evolutionary Scheduling and Combinatorial Optimisation and is a member of IEEE CIS Data Mining and Big Data technical committee. He delivered tutorials about evolutionary simulation-optimisation and AI-based visualisation at Parallel Problem Solving from Nature Conference (2018) and IEEE World Congress on Computational Intelligence (2020).

WED 3 MAY 16:00-17:00 (AEST, Melbourne Time)

ZOOM MEETING ID: 873 1557 5255; PASSWORD: 778635