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ISSN: 2090-4886

International Journal of Sensor Networks and Data Communications
Open Access

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Massimo Vecchio
Massimo Vecchio Massimo Vecchio
Associate Professor
Universita' degli Studi eCampus
Italy
Biography

Massimo Vecchio's research profile involves the conscious amalgam of the multiple branches and disciplines which in combination have forged it and provide an overarching influence punctuating related professional work.

His laurea degree specialization centred on robotics and automation, while his research background focused on computational and artificial intelligence, such as meta-heuristics for global optimization and fuzzy logic. During his Ph.D., his research interests gradually migrated towards power-efficient engineering and application designs for pervasive systems and wireless sensor networks. He spent one and a half years at INRIA-Saclay (France) working as a research engineer in the area of peer-to-peer and pervasive networks. He subsequently joined the Signal Processing Group at the University of Vigo (Spain) as a post-doctoral researcher, again in the wireless sensor network field, but with a more theoretical/mathematical research focus, such as meta-heuristic and stochastic methods for node self-localization, node mobility for efficient data collection and power-aware distributed consensus techniques. Upon his return to Italy in 2012, he joined CREATE-NET (an ICT research centre located in Trento) as a senior researcher of the Smart Internet of Things research group. During his stay at CREATE-NET he has been involved in many national and European projects (FP7 and H2020), until being appointed as Associate Professor at eCampus University, Italy, in 2015. His current research interests include artificial intelligence and the Internet of Things.

Research Interest

computational and artificial intelligence, Internet of Things.

Certificate
Certificate

International Journal of Sensor Networks and Data Communications - computational and artificial intelligence


Senior Researcher CREATE-NET Italy

 
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