Michele Dallachiesa

PhD candidate

University of Trento
DISI - Department of Information Engineering and Computer Science
Database and Information Management Group

Quick information

Email	dallachiesa at disi dot unitn dot it
Address	DISI - University of Trento - Via Sommarive 14 - 38123 Povo, TN, Italy
Web page	http://disi.unitn.it/~dallachiesa/

Short bio

Michele Dallachiesa is a PhD candidate at the University of Trento, Italy. He received the BS and MSc degrees in computer science from the University of Trento. He was also a Research Fellow at the machine Learning and Intelligent OptimizatioN (LION) Group and then Co-Founder of Reactive Search Srl. He visited as intern student the IBM T.J. Watson Research Center and the Qatar Computing Research Institute. He is currently a member of the Database and Information Management Group (dbTrento) at the University of Trento. He served as reviewer for prestiguous international conferences including ICDE, VLDB, SIGMOD, DEBS, MDM, and for the Information Systems (IS) journal. His research interests are in processing and analyzing streaming data in real time, sketching of time series, data cleaning, modeling and processing of time series with uncertainty, and mining and visualization of network graphs. He is the project leader of the GraphInsight software, a platform for analysis and interactive exploration of large network graphs with users in several top universities, including Princeton University, MIT Sloan, Harvard University, ETH Zurich, EPFL, Yale University, Georgia Institute of Technology, University of Oxford and Columbia University.

Software

Visualization

GraphInsight
GraphInsight is a visualization software that lets you explore graph data through high quality interactive representations.
satvizMS10.tgz
Determine the Variable Interaction graph and the Resolution graph of SAT instances. Graph drawing provided by GraphViz. This software have been used to analyze at runtime the internal dynamics of ManySAT, a portfolio-based parallel SAT solver.

Networking and security

These tools are completely unrelated to my research activity. I wrote them for fun during my undergrad/grad studies. Surprisingly, they started to be used to teach the insecurity of commonly adopted technologies, cited in technical reports and included in larger opensource projects.

Publications

Uncertain Time-Series Similarity: Return to the Basics
Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas
Proceedings of the VLDB Endowment (PVLDB) Journal, accepted for publication, 2012.
(supporting material)
Similarity Matching for Uncertain Time Series: Analytical and Experimental Comparison
Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas
ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data (QUeST), in conjunction with ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS), Chicago, IL, USA, November 2011.
Reconstructing curves from sparse and noisy data through Reactive Search Optimization techniques
Master Degree Thesis, supervisor Prof. Roberto Battiti, Trento, Oct 2009.
Riconoscimento ed analisi del traffico Voice over IP
Bachelor Degree Thesis, supervisor Prof. Mauro Brunato, Trento, March 2006.