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Dr Chris McCarthy

Lecturer

Biography

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)

Research interests

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

Honours

Available to supervise honours students.

Fields of Research

  • Computer Vision - 080104
  • Virtual Reality And Related Simulation - 080111
  • Adaptive Agents And Intelligent Robotics - 080101

Teaching areas

Object Oriented Programming;Mobile App Development;Computer Systems;Work-Integrated Learning

Awards

  • 2016, National, Finalist - National Disability Award - Excellence in Technology, Australian Governemnt - Department of Social Services
  • 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

Publications

Also published as: McCarthy, Chris; McCarthy, C.; McCarthy, Christopher; McCarthy, C. D.; McCarthy, Chris D.; McCarthy, Christopher D.
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, contact us to update.

Recent research grants awarded

  • 2017: Telescope Stage 2: Parasite Image Recognition, Filter enhancement, Visualisation of Design *; All Farm Animal Health Trust FS
  • 2015: Software for humanoid robots to support rehabilitation for children. Student Scholarship Agreement with Felip Marti Carrillo. *; National ICT Australia

* Chief Investigator