Associate Professor Luis Mejias Alvarez

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PhD(Robotics and Automation) (Universidad Politecnica de Madrid), GradCertEd (HigherEd) (Queensland University of Technology)

Luis Mejias studied electronic engineering at UNEXPO (Venezuela) obtaining the degree of Electronic Engineer in November 1999. In 2000, he joined the master program at ETSIT-Universidad Politécnica de Madrid obtaining a Msc. in Networks and Telecommunication Systems in 2001. After completing his master, he moved to DISAM (ETSII) Universidad Politécnica de Madrid where he obtained his doctorate in Robotics and Automation. While completing his PhD he gained extensive experience with Unmanned Aerial Vehicles (UAVs) and in particular Autonomous Helicopters investigating computer vision techniques for Guidance, Control and Navigation of UAVs.  He is currently an Associate Professor and Researcher at Queensland University of Technology.

Additional information

Type
Fellowships
Reference year
2017
Details
Recipient of the 2017 Endeavour Executive Fellowship. The Australia Awards¿Endeavour Scholarships and Fellowships are the Australian Government's competitive, merit-based scholarships and fellowships providing opportunities for Australians to undertake study, research or professional development overseas and for overseas citizens to do the same in Australia.
Type
International Collaboration
Reference year
2009
Details
Dr. Mejias has been successful in receiving an International Research Staff Exchange Scheme (IRSES) grant in the 7 European FP of 70,000 Euros ($139,700 AUD). This grant, titled International Cooperation Program for Unmanned Aerial Systems (UAS) Research and Development (ICPUAS) is in partnership with Polytechnic University of Madrid and Cranfield University, and will allow the exchange of scientist between Australia and Europe.
Title
Developing Novel Concepts for Improved Safety in Aircraft Emergency Situations
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DE120100802
Start year
2012
Keywords
Emergency Landing; National Airspace; Aircraft Warning Systems
Title
Automated vision-based aircraft collision warning technologies
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP100100302
Start year
2010
Keywords
Collision Warning; Aerial robotics; National Airspace