Brano Kusy
Research Scientist ICT
Contact
Location:
Technology Court, Pullenvale, QLD 4069
Mailing address:
PO Box 883, Kenmore, QLD 4069, Australia
Tel: +61 7 3327 4023
Themes
Projects
- R53-2 Environmental Sensing
- R53-4 Sensor nodes
Science Area
- Sensor Science and Technology
Biography
Dr. Brano Kusy earned his Masters degree in Computer Science at Comenius University, Bratislava, Slovakia and his PhD degree in Computer Science at Vanderbilt University, Nashville, USA. During his PhD studies, he worked with large scale WSN systems, including numerous deployments of a counter-sniper system, and his main research focus was on algorithms to coordinate wireless sensors in time and space.
After his doctoral studies, dr. Kusy worked as a postdoc with Prof. Leo Guibas in the Computer Science department at Stanford University between 2007 and 2009. His research focused on low-latency delivery of sensor data to mobile users, discovery and utilization of mobility patterns in urban environments, and information discovery and brokerage in WSNs, with a specific focus on camera sensor networks.
He moved to ICT Centre in Brisbane, Australia in 2009 where he currently works as a research scientist. His research interests include various systems topics in distributed systems, such as reliability of wireless networks through radio link diversity, delay tolerance in sparsely connected networks, and coordination of time and space notion of individual sensor nodes. He also works on discovering higher-order behaviour patterns based on the data traces from mobile entities, monitoring and classification of animal species using multimedia WSNs, and applying highly granular sensing to improve energy efficiency of humans.
Academic Qualifications
| Aug2007, |
Ph.D., Computer Science, Vanderbilt University, Nashville, TN, Advisors: Janos Sztipanovits, Akos Ledeczi, Miklos Maroti, Dissertation: Spatiotemporal Coordination In Wireless Sensor Networks
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| Jun2002, |
M. S., Computer Science, Comenius University, Bratislava, Slovakia, Advisor: Martin Skoviera, Thesis: An Effective Algorithm to Determine the Maximal Genus of Signed Graphs
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| Sep2000, |
B. S., Computer Science, Comenius University, Bratislava, Slovakia.
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Recent Professional Experience
| 2011-... |
Research Team Leader, ICT Centre
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| 2011-... |
Adjunct Senior Lecturer, UQ
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| 2010-... |
Project Leader, ICT Centre
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| 2007-2009, |
Stanford University, Stanford, CA, Postdoctoral Scholar in Guibas Laboratory, Collaborating with Stanford Information Networks Group (SING)
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| Summer2006, |
Oak Ridge National Lab (ORNL), Oak Ridge, TN, Summer Internship in the SensorNet Group
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| 2002-2007, |
Vanderbilt University, Nashville, TN, Graduate Student Researcher in Network Embedded Systems Group
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Other Highlights
| EWSN12 |
TPC
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| SenSys12 |
TPC
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| Apr2012, |
Distinguished visitor lecture at SICS
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| Apr2012, |
Invited lecture at TU Delft
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| Apr2011, |
Guest lecture at ETH
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| Apr2011, |
Invited lecture at ETH
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| Apr2011, |
Adjunct Senior Lecturer at UQ
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| IPSN11 |
Organisation
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| Dec2010, |
Invited lecture at QUT, Brisbane
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| IPSN10 |
TPC, Organisation
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| 2009, |
Invited lecture at UC Merced |
Summary of Science & Technical Output
| Books/Book chapters |
0 |
| Journal |
4 |
| Refereed Conference/Workshop |
31 |
| Technical/Client Reports |
3 |
| Invited Presentations |
6 |
| Patents |
2 |
Number of citations
| ISI |
20 |
| Google Scholar |
2440 |
Links
