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Pileggi, Salvatore
University of Technology Sydney
Sydney, Australia
 
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Salvatore Flavio Pileggi is a research fellow in the School of Information Technology and Electrical Engineering (ITEE) at the University of Queensland (Australia). His research currently focuses on different aspects of computational science and eResearch, including, among others, knowledge representation, data semantics, and analytics.

Previously, after a short experience as a software engineer in 2007, he held research positions at top-level institutions in Spain (Polytechnic University of Valencia, 2007-2012), in New Zealand (University of Auckland, 2013-2014), and in France (INRIA & UPMC-LIP6, 2014-2016). In those years, he worked across multiple research areas including (but not limited to) cyber-physical systems, semantic technologies, and cloud computing.

He received an MSc in Computer Engineering from the University of Calabria (Italy) in 2005 and a PhD (cum laude) in Communications from the Polytechnic University of Valencia (Spain) in 2011.

He has authored/co-authored well over 50 research publications, including papers in journals and conferences, as well as book chapters. His first paper (2006) was awarded (Best Paper Award) at ICWMC 2006. In 2012, he edited the book Semantic Interoperability: Issues, Solutions, Challenges.

He is constantly involved in technical committees of selected scientific events, and periodically reviews for top-level international journals. Since 2014, he has served as a reviewer (Featured Reviewer from 2017) for ACM Computing Reviews where he regularly publishes his reviews. He chaired several international workshops (SSW 2010, SSW 2011, IWSI 2011, IWSI 2012, IWCCTA 2011, and UXeLATE 2012), in conjunction with relevant international conferences. He acted as a guest editor for Future Internet (MDPI) in 2012 and 2014.

Recently, he has been actively working on several multi-disciplinary collaborative research projects involving specialists from industry and academia.

For more information on Flavio’s research activities, please visit his homepage.

 
 
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   Catching synchronized behaviors in large networks: a graph mining approach
Jiang M., Cui P., Beutel A., Faloutsos C., Yang S. ACM Transactions on Knowledge Discovery from Data 10(4): 1-27, 2016.  Type: Article

The automatic detection and accurate interpretation of suspicious graph patterns is one of the key issues in spotting malicious activities inside real-world systems, such as fake followers in Twitter, social network manipulation, and d...

Nov 10 2016  
   Participatory cultural mapping based on collective behavior data in location-based social networks
Yang D., Zhang D., Qu B. ACM Transactions on Intelligent Systems and Technology 7(3): 1-23, 2016.  Type: Article

Cultural mapping provides a simple and direct visual tool to identify and analyze different aspects of culture from a local perspective. By adopting traditional methods (for example, a large-scale survey), building cultural maps is an ...

May 11 2016  
 
 
   
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