معرفی
Gian Pietro Picco is a Full Professor at the Department of Information Engineering and Computer Science (DISI) at the University of Trento, Italy. His research focuses on wireless networks, particularly ultra-wideband (UWB) technology, wireless sensor networks, and cyber-physical systems. He teaches courses including Distributed Systems, Low-power wireless networking for the Internet of Things, and Programming 2.
Professor Picco's research interests span several interconnected domains in pervasive computing and networking:
- Ultra-wideband (UWB) technology for precise localization and communication
- Wireless sensor networks and Internet of Things (IoT) systems
- Cyber-physical systems and networked control
- Energy-efficient networking protocols
- Distributed systems and middleware
- Software engineering approaches for networked embedded systems
His recent publications demonstrate a strong focus on ultra-wideband technology applications, particularly in localization, ranging, and concurrent transmissions. His work bridges theoretical foundations with practical implementations, often addressing real-world challenges in human-robot interaction, contact tracing, and infrastructure monitoring. A notable trend is the increasing application of UWB technology for precise positioning in complex environments, with significant contributions to understanding and mitigating human occlusion effects on ranging accuracy.
Professor Picco has received numerous prestigious awards for his research contributions:
- Best Paper Award at IPSN'23 for "Network On or Off? Instant Global Binary Decisions over UWB with Flick"
- Best Paper Award at IPIN 2019 for "TALLA: Large-scale TDoA Localization with Ultra-wideband Radios"
- Best Paper Award at EWSN 2018 for "Concurrent Ranging in Ultra-wideband Radios"
- Best Paper Award at IPSN 2015 for "Geo-referenced Proximity Detection of Wildlife"
- Best Paper Award at IPSN 2011 for "Wireless Sensor Networks for Adaptive Lighting in Road Tunnels"
- Best Paper Award at IPSN 2009 for "Monitoring Heritage Buildings with Wireless Sensor Networks"
- Mark Weiser Best Paper Award at PerCom 2012
Professor Picco actively advises numerous PhD and Master's students, with several of his advisees becoming prominent researchers in wireless networking. His laboratory has secured significant funding for research projects in wireless sensor networks, IoT systems, and cyber-physical systems. His work has practical applications in heritage building monitoring, wildlife tracking, road tunnel lighting systems, and pandemic contact tracing.
His research group maintains the Cloves large-scale ultra-wideband testbed and has developed several middleware systems for wireless sensor networks, including Lime and TeenyLIME. The group collaborates extensively with international research institutions and has made significant contributions to standardization efforts in IoT networking protocols.
حوزههای پژوهشی
