Dr Chris McCarthy
- Faculty of Science, Engineering & Technology
- School of Software and Electrical Engineering
- Department of Computer Science and Software Engineering
- EN 508e Hawthorn campus
Chris McCarthy is a lecturer in the department of computer science and software engineering. His research is in computer vision algorithms for robotics, human assistance (in particular for the vision-impaired) and visualisation for augmented reality and sensory substitution.
Chris received his PhD from the Australian National University in 2010, during which time he worked on novel biologically-inspired computer vision for robot navigation (based on honeybee vision). He also spent 6 months as a visiting researcher with the Italian Institute of Technology's Robotics, Brain and Cognitive Sciences group (Genova) (2007) where he worked on optical flow based threat detection algorithms as part of the EU-funded iCub humanoid robot project.
After completing his PhD, Chris joined NICTA's Computer Vision Research Group in Canberra where he developed and tested novel computer vision and visualisation algorithms to support enhanced functional outcomes in blind patients implanted with a retinal prosthesis, also known as bionic eyes, as part of the federally-funded Bionic Vision Australia (BVA) consortium. In 2013, he relocated to Melbourne as a visiting researcher at the Bionics Institute and the University of Melbourne's Centre for Neural Engineering, where he worked closely with BVA's three patients implanted with a prototype 24 channel retinal prosthesis.
Chris has also held various teaching positions including as an Associate Lecturer with The University of Melbourne's Department of Computer Science and Software Engineering (2001-2005), and as an International Fellow with Ngee Ann Polytechnic's Center for Computing Studies in Singapore (1999-2000). Chris holds an honorary position with The Bionics Institute and remains affiliated with Bionic Vision Australia. Chris has also been a regular science reporter on Canberra's community radio science program, "Fuzzy Logic" (98.3 2XX FM)
Human Computer Interactions; Signal and Image Processing; computer vision; prosthetic vision; robot vision; augmented reality; visualisation
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Principal Coordinating Supervisor.
PhD topics and outlines
Deep learning for biologically-inspired Visual Control Algorithms : This project seeks to explore how deep convolutional neural networks may be used to reformulate existing biologically-inspired robotic visual control algorothims for rapid perceptuo-motor control
Available to supervise honours students.
Fields of Research
- Computer Vision - 080104
- Virtual Reality And Related Simulation - 080111
- Adaptive Agents And Intelligent Robotics - 080101
Object Oriented Programming;Mobile App Development;Computer Systems;Work-Integrated Learning
- 2013, International, Best paper award, IEEE workshop on mulitmodal and alternative perception for vision impaired people
- 2005, Other, Excellence in Teaching , The University of Melbourne
- 2004, International, Student Fellowship Award, International Foundation of Robotics Research
Also published as: McCarthy, Chris; McCarthy, C.; McCarthy, Christopher
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Recent research grants awarded
- 2015: Software for humanoid robots to support rehabilitation for children. Student Scholarship Agreement with Felip Marti Carrillo. *; National ICT Australia
* Chief Investigator
- 2016-04-11: Robots can help young patients engage in rehab - The Conversation
- 2016-04-01: Rehab Robot - featured on Scope - Channel 11 (Network 10) Australia
- 2015-12-14: Humanoid robot Nao helping kids rehabilitate at Royal Childrenâ€™s Hospital - Herald Sun (News Corp)
- 2015-12-14: Melbourne's Royal Children's Hospital unveils humanoid robot that will help rehabilitate young patients - 9 News Australia