The SenSys 2007 doctoral colloquium took place on Tuesday, 6 November 2007 in Room 123 of the University of Sydney School of IT Building. Each student participant was given five minutes to present an overview of their topic, followed by twenty minutes of dedicated discussion time with our panel of experts.
Participants
The participants' final research summaries (and in some cases their presentation slides) are linked below, next to their name and research summary title. The research summaries of all participants can also be downloaded as a single PDF.
- Qing Cao (University of Illinois at Urbana-Champaign), "LiteOS-based Reliable Software Stack and Visible System Architecture for Wireless Sensor Networks" [summary] [slides]
- Jung Il Choi (Stanford), "Fair Waiting Protocol: Achieving Isolation in Wireless Sensornets" [summary] [slides]
- Raghu Ganti (University of Illinois at Urbana-Champaign), "Smart Attire: Bringing Technology to Your Wardrobe" [summary] [slides]
- Mohammad Momani (University of Technology, Sydney), "Trust Management in Wireless Sensor Networks" [summary] [slides]
- Unoma Ndili Okorafor (Texas A&M), "Secure Routing in Directional Sensor Networks" [summary] [slides]
- Fredrik Österlind (Swedish Institute of Computer Science), "The Cross-Level Approach for Simulating Sensor Networks" [summary]
- Hailun Tan (University of New South Wales), "Secure Multi-hop Network Programming with Multiple One-way Key Chains" [summary]
- Arsalan Tavakoli (UC Berkeley), "Wringer: A Debugging and Monitoring Framework for Wireless Sensor Networks" [summary]
- Muhammad Umer (NICTA/University of Melbourne), "Selectivity-aware Query Processing in Sensor Networks" [summary] [slides]
- Philip Valencia (University of Queensland), "In situ Genetic Programming for Wireless Sensor Networks" [summary] [slides]
- Yan Wang (Halmstad University), "IPS: Implementation of Protocol Stacks for Embedded Systems" [summary] [slides]
- Joseph Ziegler (University of Western Australia), "A Probabilistic Active Knowledge Base Architecture for Observational Data Sources" [summary] [slides]