Department of Computer Science and Engineering
The Hong Kong University of Science and Technology

Education:
Stanford University

• PhD in Electrical Engineering, January 1999
• PhD Minor: Business Administration (Management of operations, information and technology)
• MS in Electrical Engineering, June 1994

Princeton University

• BSE in Electrical Engineering, Highest Honors, June 1993
• Certicates in Engineering and Management Systems, Engineering Physics, and Applied and Computational Mathematics, June 1993

Dr. Rajkumar Buyya is a Fellow of IEEE, Professor of Computer Science and Software Engineering, Future Fellow of the Australian Research Council, and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 525 publications and seven text books including “Mastering Cloud Computing” published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively.

Electrical Engineering Department
National Chiao Tung University, Taiwan

Workshop on “Duckietown project: Platform for Learning Autonomous Robotic Car”

Teaching robotics is challenging because it is a multidisciplinary, rapidly evolving and experimental discipline that integrates cutting-edge hardware and software. The workshop describes the introduction of first implementation of Duckietown, a vehicle autonomy class that experiments with teaching innovations in addition to leveraging modern educational theory for improving student learning.

The course leverages intended learning outcomes (ILOs) enabling students to appreciate the challenges of: (a) heterogeneous disciplines converging in the design of a minimal self-driving car, (b) integrating subsystems to create complex system behaviors, and (c) allocating constrained computational resources. Students learn how to assemble, program, test and operate a self-driving car (Duckiebot) in a model urban environment (Duckietown), as well as how to implement and document new features in the system.