Personal details

Name
Professor Michael Milford
Position(s)
Professor in Electrical Engineering
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Robotics and Autonomous Systems
Discipline *
Artificial Intelligence and Image Processing, Neurosciences
Phone
+61 7 3138 9969
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD LinkedIn
Qualifications

PhD (University of Queensland)

Professional memberships
and associations

IEEE Member ARAA Member. For more information please see my group research page https://wiki.qut.edu.au/display/cyphy/Michael+Milford or my Google Scholar page: http://scholar.google.com/citations?user=TDSmCKgAAAAJ&hl=en

Keywords

Robotics, Mapping, Navigation, Localization, Computational Neuroscience, RatSLAM, SeqSLAM, Hippocampus, Entorhinal Cortex

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

Professor Milford conducts interdisciplinary research at the boundary between robotics, neuroscience and computer vision and is a multi-award winning educational entrepreneur. His research models the neural mechanisms in the brain underlying tasks like navigation and perception to develop new technologies in challenging application domains such as all-weather, anytime positioning for autonomous vehicles. He is also one of Australia’s most in demand experts in technologies including self-driving cars, robotics and artificial intelligence, and is a passionate science communicator. He currently holds 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.

His research has attracted more than 23 million dollars in research and industry funding for fellowships and team grants from organizations including the Australian Research Council, Microsoft and US Air Force. Michael’s papers have won (6) or been finalists (9) for 15 best paper awards including the 2012 ICRA Best Vision paper. His citation h-index is 31, with 4367 citations as of April 2019. Michael has dual Australian-US citizenship and has lived and worked in locations including Boston, Edinburgh and London. He has collaborated with organizations including Harvard University, Boston University, Oxford University, MIT, Edinburgh University, Imperial College London, Google Deepmind, Caterpillar, the US Air Force and NASA’s Jet Propulsion Laboratory.

Michael has given more than 170 keynotes, plenaries and invited presentations at major industrial corporations (Google, Amazon, Microsoft, Toyota, OpenAI, Uber), top universities (including Harvard University, MIT, Oxford University, CMU, Imperial College London, Cambridge and Boston University), international conferences, workshops and scientific meetings across thirteen countries (USA, Canada, UK, Japan, China, Portugal, Norway, Germany, Italy, Singapore, Austria, France and Australia) to audiences of up to 2000 people.

As a lifelong educational entrepreneur, Michael has written innovative textbooks, novels and storybooks (20 titles to date) for early childhood, primary and high school audiences, and collaborates with the major movie studio representatives to write a regular “science in the movies” review series. He recently launched the company Math Thrills which combines mass market entertainment and STEM education. Math Thrills has received funding from Kickstarter, QUTBluebox and the AMP Foundation and honours including the Queensland Young Tall Poppy of the Year Award, being a Reimagine Education Awards finalist, a TedXQUT talk and World Science Festival event. His company has sold in 35 countries to date with recent titles including the STEM Storybook, The Complete Guide to Artificial Intelligence for Kids and Rachel Rocketeer.

This information has been contributed by Professor Michael Milford.

Teaching

Teaching: From 2011 – 2015 I taught ENB339 Introduction to Robotics in Semester 2 each year. In it we learnt:

  • Robot construction, build a robot using Lego and the NXT controller brick
  • Fundamentals of robotics, how to control the end point of a simple robot arm and make it follow a path
  • Computer vision, how to interpret images to figure the size, shape and color of objects in the scene
  • Connect computer vision to robotics, make your robot move to objects of specific size, shape and color.

Videos
My academic YouTube channel Milfordrobotics has dozens of lectures, tutorials, and practical videos about robotics.
Teaching Grants

  • M. Milford, Small Teaching and Learning Grant, 2011-2012, “No Student Left Behind”, $5,500

Educational Entrepreneurialism
I am now focusing my teaching activities on my educational startup Math Thrills Pty Ltd.

Math Thrills hijacks the book, movie and game entertainment students love to consume every day to excite and engage them in mathematical learning.

It’s easy and fun to uselinked to curriculum and engages different types of learners through multiple learning modalities including fiction, online animations, blockbuster entertainment and workshops.

Developed over 5 years and in school trials since early 2015, Math Thrills has been continually improved and expanded based directly on feedback from hundreds of students and teachers.

Winner of multiple state and national awards, the new and much improved Math Thrills program is now available for schools and students.

Find out more: http://www.MathThrills.com

This information has been contributed by Professor Michael Milford.

Experience

Professor Milford conducts interdisciplinary research at the boundary between robotics, neuroscience and computer vision and is a multi-award winning educational entrepreneur. His research models the neural mechanisms in the brain underlying tasks like navigation and perception to develop new technologies in challenging application domains such as all-weather, anytime positioning for autonomous vehicles. He is also one of Australia’s most in demand experts in technologies including self-driving cars, robotics and artificial intelligence, and is a passionate science communicator. He currently holds 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.

His research has attracted more than 23 million dollars in research and industry funding for fellowships and team grants from organizations including the Australian Research Council, Microsoft and US Air Force. Michael’s papers have won (6) or been finalists (9) for 15 best paper awards including the 2012 ICRA Best Vision paper. His citation h-index is 31, with 4367 citations as of April 2019. Michael has dual Australian-US citizenship and has lived and worked in locations including Boston, Edinburgh and London. He has collaborated with organizations including Harvard University, Boston University, Oxford University, MIT, Edinburgh University, Imperial College London, Google Deepmind, Caterpillar, the US Air Force and NASA’s Jet Propulsion Laboratory.

Michael has given more than 170 keynotes, plenaries and invited presentations at major industrial corporations (Google, Amazon, Microsoft, Toyota, OpenAI, Uber), top universities (including Harvard University, MIT, Oxford University, CMU, Imperial College London, Cambridge and Boston University), international conferences, workshops and scientific meetings across thirteen countries (USA, Canada, UK, Japan, China, Portugal, Norway, Germany, Italy, Singapore, Austria, France and Australia) to audiences of up to 2000 people.

As a lifelong educational entrepreneur, Michael has written innovative textbooks, novels and storybooks (20 titles to date) for early childhood, primary and high school audiences, and collaborates with the major movie studio representatives to write a regular “science in the movies” review series. He recently launched the company Math Thrills which combines mass market entertainment and STEM education. Math Thrills has received funding from Kickstarter, QUTBluebox and the AMP Foundation and honours including the Queensland Young Tall Poppy of the Year Award, being a Reimagine Education Awards finalist, a TedXQUT talk and World Science Festival event. His company has sold in 35 countries to date with recent titles including the STEM Storybook, The Complete Guide to Artificial Intelligence for Kids and Rachel Rocketeer.

This information has been contributed by Professor Michael Milford.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Awards

Awards and recognition

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.

Research projects

Grants and projects (Category 1: Australian Competitive Grants only)

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

Supervision