Student Supervision
Phd Students
Teddy Shih, National Taiwan University of Science and Technology (current)Philip Valencia, University of Queensland (current)
Antonio Ruzzelli, University College Dublin (graduated 2008)
MSc Students
Alessio Barbirato, University College DublinThesis Students
Lauren Yang, University of Queensland, Australia, 2010.
Cameron Mcgill, University of Queensland, Australia, 2010.
Visitors and Interns
Morten Tranberg Hansen, Visiting Phd Student, Aarhus University, Denmark, 2010
Thibaud Rohmer, industrial trainee, IRISA, France, 2010 (current)
Justin Bush, industrial trainee, University of Melbourne, 2010
Jeremy Soh, industrial trainee, University of Sydney, 2010
Elizabeth Basha, visiting Phd student, MIT, USA 2009
Dhinesh Dharman, industrial trainee, National Institute of Technology, Dargapur, India (current)
Hassane Slaibi, industrial trainee, American University of Beirut, Lebanon (current)
Sebastien Bergeaud, Internship, EPITA, Paris France 2008
Florian Pierre, Internship, EPITA, Paris, France 2008
Alessandro Zampieri, Internship, University College Dublin 2008
Jean-Francois Lagoutte, Internship, Ecole Polytechnique de Nantes 2008
Phillipe Bayle, Internship, Ecole Polytechnique de Nantes 2008
Olivier Pernet, Internship, ENSIMAG Grenoble France 2008<
Loic Petit, Internship, ENSIMAG Grenoble France 2008
Edward Oubrayrie, Internship, ENSIMAG, Grenoble France 2008
Samuel Boivineau, Internship, Ecole Polytechnique de Nantes 2007
Thomas Chamaurd, Internship, University of Toulouse 2007
Current Courses
Wireless Sensor Networks
University of Queensland ITEE, Semester 1 2010
This course is a special topics course that exposes students to the fundamentals of wireless sensor networks, in addition to more advanced research topics in the field. The first part of the course focuses on the motivation for WSNs, the hardware and software platforms they use, networking, and data storage and delivery to users. The second part of the course addresses more advanced topics such as infrastructure establishment, including synchronization and localization, in-network processing, sensor fusion, and security and privacy. The course runs parallel lecture-style and laboratory sessions every week, and includes a term project that progressively builds on the weekly labwork. More information is available through the course information page and the course profile page.
Past Courses
Introduction to Wireless Sensor Network Design
HRDI, Chenon, Korea, January 2007
The aim of the course is to introduce the students to the challenges and opportunities in the field of wireless sensor networks, as well as recent research in the area. The course consists of four parts: (1)Ubiquitous Sensor Networking; (2)Sensor Network Applications; (3) Sensor Network Platforms; and (4) Sensor Network Design. The course also features a lab section in which students download, install, and learn the basics of TinyOS programming.
Introduction to Ubiquitous Computing
HRDI, Chenon, Korea, January 2006
The aim of the course is to introduce the students to the challenges and opportunities in the field of ubiquitous computing, as well as recent research in the area. The course consists of four parts: (1) Desktop Computing versus Ubiquitous Computing; (2)Human/Computer Interaction; (3)Infrastructure for Ubicomp; and (4) Wireless Sensor Networks. The course also features a lab section in which students download, install, and learn the basics of TinyOS
Digital Logic Design
University of California, Irvine, Fall Semester, 2001
This course introduces students to the basics of digital logic design, including basic logic gates and operations and Carnaugh maps. In the lab portion of this course, the students are exposed to practical issues through the use of Xilinx to program FPGAs.
Probability and Statistics
University of California, Irvine, Spring Semester, 2001
This course introduces students to concepts in probability and statistics, including set theory, probability density and distribution functions, standard deviations, means, medians, variance, and probabilistic analysis.
Basics of C Programming
University of California, Irvine, Fall Semester, 2000
This course introduces students to programming by teaching them the C language. The course discussion sessions to complement the basic lectures and enhance student understanding, as well as the administration of programming lab sessions to develop students' practical programming skills.
© 2009 Raja Jurdak