Brano Kusy

Brano Kusy

Research Scientist ICT


Technology Court, Pullenvale, QLD 4069

Mailing address:
PO Box 883, Kenmore, QLD 4069, Australia

Tel: +61 7 3327 4023


  • Sensors & Sensornets


  • R53-2 Environmental Sensing
  • R53-4 Sensor nodes

Science Area

  • Sensor Science and Technology


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
Jun2002, M. S., Computer Science, Comenius University, Bratislava, Slovakia, Advisor: Martin Skoviera, Thesis: An Effective Algorithm to Determine the Maximal Genus of Signed Graphs
Sep2000, B. S., Computer Science, Comenius University, Bratislava, Slovakia.

Recent Professional Experience

2011-... Research Team Leader, ICT Centre
2011-... Adjunct Senior Lecturer, UQ
2010-... Project Leader, ICT Centre
2007-2009, Stanford University, Stanford, CA, Postdoctoral Scholar in Guibas Laboratory, Collaborating with Stanford Information Networks Group (SING)
Summer2006, Oak Ridge National Lab (ORNL), Oak Ridge, TN, Summer Internship in the SensorNet Group
2002-2007, Vanderbilt University, Nashville, TN, Graduate Student Researcher in Network Embedded Systems Group

Other Highlights

SenSys12 TPC
Apr2012, Distinguished visitor lecture at SICS
Apr2012, Invited lecture at TU Delft
Apr2011, Guest lecture at ETH
Apr2011, Invited lecture at ETH
Apr2011, Adjunct Senior Lecturer at UQ
IPSN11 Organisation
Dec2010, Invited lecture at QUT, Brisbane
IPSN10 TPC, Organisation
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