Personal details

Name
Dr Frederic Maire
Position(s)
Senior Lecturer
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Robotics and Autonomous Systems
Discipline *
Artificial Intelligence and Image Processing, Interdisciplinary Engineering
Phone
+61 7 3138 1928
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD
Qualifications

PhD (Universite de Paris VI)

Professional memberships
and associations

 

Keywords

Artificial Intelligence, Computer Vision, Machine Learning, Pattern Recognition, Robotics

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

Biography

Academic background

Research interests

This information has been contributed by Dr Frederic Maire.

Teaching

My teaching activities include lecturing and tutoring in undergraduate and postgraduate units,  as well as research degree supervision. Currently, I am lecturing the undergraduate artificial intelligence unit (CAB320) and the postgraduate unit IFN680 on advanced artificial intelligence.
My approach to teaching AI is to focus on providing solid foundations on search techniques and the principles behind machine learning. The assignments are carefully chosen so that students can develop a good understanding of the capabilities and limits of the approaches taught in the lectures.
Note for current and prospective students:  for project topics (from 4th year to PhD),  visit   https://wiki.qut.edu.au/display/cyphy/Student+project+topics+proposed+by+Frederic+Maire

This information has been contributed by Dr Frederic Maire.

Experience

My current research main focus is on an international project on “Dugong Detector to Monitor Seagrass Health”  https://amru.org.au/our-research/dugong-detector/

My early work on neural networks and AI for strategic games did not involve industry partners but in the last few years my projects have become more applied:

  • I have been involved through the Rail CRC in the development of vision based techniques to detect near-miss incidents at railroad crossings.
  • With colleagues from CARRS-Q, I have applied machine learning techniques to driver safety problems.
  • I have developed deep learning based software to monitor dugong populations.
  • I am working on projects for Mining3.

 

This information has been contributed by Dr Frederic Maire.

Publications

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

Supervision