Professor Michael Milford


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PhD (University of Queensland)

I conduct interdisciplinary research at the boundary between robotics, neuroscience and computer vision and am a multi-award winning educational entrepreneur. My research models the neural mechanisms in the brain underlying tasks like navigation and perception in order to develop new robotics and computer vision-related technologies, with a particular emphasis on challenging application domains where current techniques fail such as all-weather, anytime positioning for autonomous vehicles. I currently hold the position of Professor at the Queensland University of Technology, as well as Australian Research Council Future Fellow, Microsoft Research Faculty Fellow and Chief Investigator at the Australian Centre for Robotic Vision.

My research has attracted more than twenty-two million dollars in research and industry funding, both in the form of sole investigator fellowships and large team grants from organizations including the Australian Research Council, Queensland Government, Microsoft, Caterpillar Corporation, Mining3 and the Asian Office of Aerospace Research and Development (US Air Force). Our papers have won or been finalists for 11 best paper awards including winning the 2012 Best Vision paper at ICRA2012.

I have given more than 80 plenaries, keynotes and presentations at international conferences, top universities, major industrial and technology corporations (including Google, Amazon, Microsoft, Toyota, OpenAI) and scientific meetings across thirteen countries to audiences of up to 2000 people. I have collaborated with dozens of universities and corporations around the world including Harvard University, Boston University, Oxford University, MIT, Edinburgh University, Imperial College London, Caterpillar, the US Air Force and NASA’s Jet Propulsion Laboratory, and regularly co-organize international robotics and deep learning-related events including regular workshops at ICRA, RSS and CVPR. I was recently a finalist (top 3 nationwide) in the 2016 Australian Museum Eureka awards for Outstanding Early Career Researcher.

As an educational entrepreneur, I have written and produced innovative textbooks for K-12 students for seventeen years. My new company Math Thrills Pty Ltd combines mass market entertainment and STEM education, and is rolling out in more than 200 schools around Australia. Math Thrills has received pre-seed funding on Kickstarter, seed funding from QUTBluebox and further funding from the AMP Foundation. The initiative has led to honours including the 2015 Queensland Young Tall Poppy of the Year Award and a 2015 TedXQUT talk.

I have dual citizenship between Australia and the United States, and have lived and worked in locations including Boston, USA and Edinburgh and London in the UK.

Projects (Chief investigator)

Projects

Additional information

I conduct interdisciplinary research at the boundary between robotics, neuroscience and computer vision and am a multi-award winning educational entrepreneur. My research models the neural mechanisms in the brain underlying tasks like navigation and perception in order to develop new robotics and computer vision-related technologies, with a particular emphasis on challenging application domains where current techniques fail such as all-weather, anytime positioning for autonomous vehicles. I currently hold the position of Professor at the Queensland University of Technology, as well as Australian Research Council Future Fellow, Microsoft Research Faculty Fellow and Chief Investigator at the Australian Centre for Robotic Vision.

My research has attracted more than twenty-two million dollars in research and industry funding, both in the form of sole investigator fellowships and large team grants from organizations including the Australian Research Council, Queensland Government, Microsoft, Caterpillar Corporation, Mining3 and the Asian Office of Aerospace Research and Development (US Air Force). Our papers have won or been finalists for 11 best paper awards including winning the 2012 Best Vision paper at ICRA2012.

I have given more than 80 plenaries, keynotes and presentations at international conferences, top universities, major industrial and technology corporations (including Google, Amazon, Microsoft, Toyota, OpenAI) and scientific meetings across thirteen countries to audiences of up to 2000 people. I have collaborated with dozens of universities and corporations around the world including Harvard University, Boston University, Oxford University, MIT, Edinburgh University, Imperial College London, Caterpillar, the US Air Force and NASA’s Jet Propulsion Laboratory, and regularly co-organize international robotics and deep learning-related events including regular workshops at ICRA, RSS and CVPR. I was recently a finalist (top 3 nationwide) in the 2016 Australian Museum Eureka awards for Outstanding Early Career Researcher.

As an educational entrepreneur, I have written and produced innovative textbooks for K-12 students for seventeen years. My new company Math Thrills Pty Ltd combines mass market entertainment and STEM education, and is rolling out in more than 200 schools around Australia. Math Thrills has received pre-seed funding on Kickstarter, seed funding from QUTBluebox and further funding from the AMP Foundation. The initiative has led to honours including the 2015 Queensland Young Tall Poppy of the Year Award and a 2015 TedXQUT talk.

I have dual citizenship between Australia and the United States, and have lived and worked in locations including Boston, USA and Edinburgh and London in the UK.

Type
Fellowships
Reference year
2013
Details
Microsoft Research Faculty Fellowship, $110,000
Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2013
Details
Ray Jarvis Best Paper Award "Towards Bio-inspired Place Recognition over Multiple Spatial Scales," Zetao Chen, Adam Jacobson, Ugur Murat Erdem, Michael Hasselmo and Michael Milford
Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2013
Details
Best Paper Finalist "Towards Condition-Invariant, Top-Down Visual Place Recognition," Michael Milford, Walter Scheirer, Eleonora Vig and David Cox
Type
Membership of Review Panels on Prestigious Grant Applications
Reference year
2013
Details
Czech Science Foundation reviewer for Research Grants
Type
Membership of Review Panels on Prestigious Grant Applications
Reference year
2013
Details
Israeli Ministry of Science & Technology reviewer for Brain Research Infrastructure program grant reviewer
Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2012
Details
Best Robot Vision Paper Award at the 2012 International Conference on Robotics and Automation
Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2016
Details
Best Paper Finalist Robotics Science and Systems Conference: Milford, M., "Visual Route Recognition with a Handful of Bits", Sydney, Australia, 2012.
Type
Membership of Review Panels on Prestigious Grant Applications
Reference year
2012
Details
Canadian Natural Sciences and Engineering Research Council Reviewer for Discovery Grants
Type
Membership of Review Panels on Prestigious Grant Applications
Reference year
2016
Details
Australian Research Council for Discovery Projects and Discovery Early Career Outstanding Researcher Fellowships
Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2006
Details
Queensland Young Achiever of the Year (Science and Technology) The aims are objectives of the program are to: Acknowledge & highlight the achievements of young Australians. Educate the general public with examples of youth achievement. Encourage & motivate young Australians at all levels in their chosen field of endeavour. Develop a sense of pride in being an Australian. Build self-confidence through rewards for excellence. Provide role models & mentors for our youth by highlighting their achievements and the pursuit of excellence. Develop and encourage leadership and life skills in young Australians.
Title
Superhuman Place Recognition with a Unified Model of Human Visual Processing and Rodent Spatial Memory
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
FT140101229
Start year
2015
Keywords
Place Recognition; Spatial Memory; Bio-Inspired Robot Navigation
Title
ARC Centre of Excellence for Robotic Vision (ACRV)
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
CE140100016
Start year
2014
Keywords
Robotic Vision; Robotics; Computer Vision
Title
Visual Navigation for Sunny Summer Days and Stormy Winter Nights
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DE120100995
Start year
2012
Keywords
Vision-Based Navigation; Robot Navigation; Change-Invariant