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20142024

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Personal profile

Biography

Dr. Jonathan Vitale is a Research Fellow affiliated with the Australian Institute of Health Innovation, Centre for Health Informatics, at Macquarie University. Jonathan holds a Ph.D. in Computer Science and Information Technology from the University of Technology Sydney (UTS), and a Bachelor's and Master's degrees in Computer Science from the University of Milan, each with First Class Honours.

During his role as a Postdoctoral researcher at UTS spanning three years, Dr. Vitale engaged in collaborative research endeavours with prominent Australian and international industry partners. His primary focus involved the design, implementation, and evaluation of innovative social robotics applications deployed in public settings, notably including Sydney International Airport and Stockland shopping centre. He possesses substantial expertise in designing and conducting human experiments aimed at probing into psychological and behavioural dynamics influenced by human interactions with intelligent machines. Furthermore, Jonathan assumed the role of Senior Lead Team member for the UTS RoboCup@Home team from 2017 to 2019, achieving consecutive second-place finishes in 2017 and 2018, followed by a first-place victory in 2019.

Dr. Vitale's expertise extends beyond research into the field of education and mentorship. With years of experience in teaching and units design, he continues to actively partake in teaching activities at UTS and at the University of New England.

Research interests


Dr. Jonathan Vitale's research interests span across the interdisciplinary fields of human-machine interaction, cognitive science, and artificial intelligence. Within the domain of human-machine interaction, his focus lies in the design, development, and testing of innovative human-centred technologies. Employing a Design Thinking approach, he endeavours to create technologies that facilitate seamless interactions between humans and machines. Jonathan complements this by conducting human experiments to discern how such interactions influence human behaviour, cognition, and their decision-making.

In the realm of cognitive science, Dr. Vitale seeks to offer computational models of human cognition that elucidate data gathered from experimental studies. His particular interests revolve around topics such as privacy, trust, and decision-making, aiming to uncover the underlying cognitive processes governing these phenomena.

Furthermore, within the field of artificial intelligence, his research delves into the development of models for detecting and recognising various human social features. From identifying individuals to discerning subtle facial expressions, his work contributes to advancing the capabilities of AI systems in understanding and interacting with humans on a social level.

Education/Academic qualification

Information Technology, PhD, University of Technology Sydney

Award Date: 22 Mar 2018

Computer Science, Master's Degree, University of Milano-Bicocca

Award Date: 2 Nov 2012

Digital Communications - Computer Science, Bachelor's degree, University of Milan

Award Date: 8 Oct 2010

External positions

Casual Lecturer, University of New England Australia

Casual Lecturer, University of Technology Sydney

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