Machine Intelligence Research Labs (MIR Labs) - Global Network for Innovation and Research Excellence

Massimo Vecchio
CREATE-NET, Smart Internet of Things (RIoT) research area, Trento
Regular Member
Personal Web Site:
Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=372
Short Biography
Massimo Vecchio received the Laurea degree in Computer Engineering (Magna cum Laude) from the University of Pisa and the Ph.D. degree in Computer Science and Engineering (with Doctor Europaeus mention) from IMT Lucca Institute for Advanced Studies in 2005 and 2009, respectively. His research background is on computational and artificial intelligence techniques, such as metaheuristics for global optimization and fuzzy logic. During his Ph.D. degree, however, his research interests moved towards power-efficient engineering and application designs for pervasive systems and devices. From October 2008 to March 2010 he worked as simulation engineer at INRIA-Saclay (France). Then, he joined the Signal Processing in Communications group at the University of Vigo (Spain) as a post-doctoral researcher, until September 2012. Recently he moved back to Italy to work as senior researcher at CREATE-NET, mainly in the field of Internet of Things devices and resources virtualization. Besides, current Massimo’s research interests include metaheuristic and stochastic methods for wireless sensor nodes self-localization, node mobility for efficient data collection and power-aware consensus techniques. He is author of one book monograph, and co-author of two book chapters, 10 journal papers and various conference papers.
List of top 5 publications in the last 5 years
Vecchio, M., Lopez-Valcarce, R., and Marcelloni, F. A two-objective evolutionary approach based on topological constraints for node localization in wireless sensor networks. (Elsevier) Applied Soft Computing (in press, DOI: 10.1016/j.asoc.2011.03.012) (2011). Marcelloni, F., and Vecchio, M. A two-objective evolutionary approach to design lossy compression algorithms for tiny nodes of wireless sensor networks. (Springer) Evolutionary Intelligence 3, 3 (2010), 137-153. Vecchio, M., Carneiro-Viana, A., Ziviani, A., and Friedman, R. DEEP: Density-based proactive data dissemination protocol for wireless sensor networks with uncontrolled sink mobility. (Elsevier) Computer Communications, Special Section on Hot Topics in Mesh Networking 33, 8 (2010), 929-939. Marcelloni, F., and Vecchio, M. Enabling energy efficient and lossy-aware data compression in wireless sensor networks by multi-objective evolutionary optimization. (Elsevier) Information Sciences, Special Issue on Intelligent Distributed Information Systems 180, 10 (2010), 1924-1941. Marcelloni, F., and Vecchio, M. An efficient lossless compression algorithm for tiny nodes of monitoring wireless sensor networks. (Oxford Journals) The Computer Journal 52, 8 (2009), 969-987.
List of top 5 academic activities during the last 5 years
Track-chair for the special session: ``Computational Intelligence in Wireless System Design, Management and Applications'', 11th IEEE International Conference on Intelligent Systems Design and Applications (ISDA 2011), Cordoba, Spain, November 22-24, 2011. Program Committee Member for the 8th IEEE International Workshop on Sensor Networks and Systems for Pervasive Computing (PerSeNS 2012), Lugano, Switzerland, March 19-23, 2012. Program Committee Member for the First International Workshop on Rational, Secure and private ad-hoc networks (RASEP 2011), Crete, Greece, October 17-21, 2011.