Luca Mottola is an Associate Professor at Politecnico di Milano (Italy) and a Senior Researcher at RI.SE Sweden. His lab focuses on modern networked embedded systems, including intermittent computing, nanosatellites, mobile embedded computing, Internet-connected robotics, and low-power wireless. To date, he is the only European researcher to be granted multiple times with the ACM SigMobile Research Highlight and to ever win Best Paper Awards at multiple flagship conferences of both ACM SigMobile and ACM SigBed. He is General Chair for ACM/IEEE CPS-IoT Week 2022 and past PC chair for ACM MOBISYS, ACM SENSYS, ACM/IEEE IPSN, and EWSN. He is a Google Faculty Award winner and an associate editor of IEEE Transactions on Mobile Computing, ACM Transactions on Sensor Networks, and Elsevier Computer Networks. He holds or held visiting positions at Uppsala University, NXP Technologies, TU Graz, and USI Lugano.
Kamin Whitehouse’s research lab develops new technologies at the frontier of Cyber-Physical Systems (CPS), including RF sensing, safety-critical wireless communication, wearable sensors, occupancy sensing, smart buildings, and coordinated control of distributed systems and autonomous drones. His team develops techniques at the intersection of signal processing and machine learning. The technologies created by these projects have been downloaded 50,000+ times, have been used by over half a dozen companies to create new products, and are currently running in millions of embedded devices around the world. He has patents granted and pending in a range of CPS techniques. Prof. Whitehouse was the inaugoral Director of the Link Lab which he co-founded in 2015 with the mission to enhance excellence in CPS at U. Virginia. He is a past TPC chair for ACM BuildSys, ACM SenSys, ACM/IEEE IPSN, and EWSN and serves as associate editor of ACM Transactions on Sensor Networks (TOSN) and The PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). He earned a B.A. in Philosophy and a B.S. in Electrical Engineering and Cognitive Science from Rutgers University. He earned a M.S. and Ph.D. in Computer Science from UC Berkeley.