A/Prof. Marcus Gallagher
School of ITEE, The University of Queensland
Marcus received his PhD from the University of Queensland in 2000 and is currently Associate Professor in the School of Information Technology and Electrical Engineering at UQ. His broad research interests are in computer science and data analysis, more specifically, this is artificial intelligence and nature-inspired problem-solving techniques and algorithms. Within this area, his work is focussed on optimisation, metaheuristics and evolutionary computation, nachine learning and exploratory data analysis and visualisation.
Marcus has published more than 60 journal and conference papers and is a Senior Member of the Institute of Electrical and Electronic Engineers (IEEE).
In the last few years the interest in Artificial Intelligence (AI) and machine learning has exploded, not only within research and academia but driven by giant tech companies such as Google, Microsoft and Facebook. Neural networks (under the banner of deep learning) have become incredibly popular and are generating research at a frantic pace. In this talk I will give an overview of some of the hot topics in AI and machine learning. I will also discuss why certain techniques are useful from the point of view of real-world applications and some of the pros and cons associated with these techniques and current research.