Keynote Speakers

Dr. Luca Mottola - On Science and Engineering in Embedded Sensing

Dr. Luca Mottola​Politecnico di Milano


Embedded sensing works at the interface between the digital domain and the physical world. Principles, theories, and abstractions find application in concrete systems deployed to interact with the surrounding environment. As a result, science and engineering intertwine in their design and implementation. In embedded sensing research, however, science is often contrasted with engineering. Works appear priding their contribution to either as if an inherent dichotomy existed. This talk is the opportunity to gain a deeper understanding of the mutual role of science and engineering in embedded sensing research. Through examples taken from recent works in areas such as intermittent computing, mobile drone computing, and nanosatellites, I will posit that science and engineering in embedded sensing are not just complementary but a necessity for each other. I will then point out common pitfalls emerging when their mutual relationships are only partly understood. Increasing awareness of their interplay will hopefully be instrumental to ensuring the field can continue thriving and achieve long-term impact.


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.

Dr. Kamin Whitehouse​ University of Virginia

Dr. Kamin Whitehouse - Perception Matters: Moving Beyond Sensing in the IoT


The Internet of Things (IoT) has gone from vision to reality in less than two decades. Hundreds of billions of sensor and actuator devices are now connected to the Internet to help create a better and more efficient planet. However, many of the benefits of the IoT are still yet to be realized. To unlock its full potential, we must move beyond sensing and produce comprehensive approaches for perception: the integration and interpretation of sensor data in order to create a representation of the world. This talk dives into one domain of the IoT – home automation – to explore the opportunities and challenges of perception in the IoT.


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.

SenSys is the leading conference for research on systems of networked sensing and actuation.