Preliminary Program Overview for CPS-IoT Week 2026
| 08:00 | Registration & Welcome Desk |
|---|---|
| 08:30 | |
| 09:00 | Workshops, Tutorials, Competitions |
| 10:00 | |
| 10:30 | Coffee Break(Rotonde Cézembre) |
| 11:00 | Workshops, Tutorials, Competitions |
| 11:45 | |
| 12:30 | Lunch Break(Rotonde Cézembre) |
| 13:30 | |
| 14:00 | Workshops, Tutorials, Competitions |
| 15:30 | |
| 16:00 | Coffee Break(Rotonde Cézembre) |
| 16:30 | Workshops, Tutorials, Competitions |
| 17:00 | |
| 17:30 | |
| 18:00 | PhD forum Welcome Reception(Rotonde Cézembre) |
CPS-IoT Week 2026 Keynotes
Keynote 1: Sensing What Matters: From Human Physiology to Trustworthy Media
Date: May 12, 2026, 9 am - 10 am
Speaker: Xia Zhou, Columbia University
Chair: TBD
Abstract: We live in a world where both our bodies and environments are sensed at unprecedented scale and granularity. However, the trustworthiness of sensed data is increasingly in question. Physiological sensing suffers from motion noise, user variability, and placement uncertainty, while audiovisual media is challenged by the rise of deepfakes and AI-generated content that blur the boundary between real and fake. The fundamental tension is that sensing is no longer just about acquiring signals — it is about establishing trust.
In this talk I present our efforts to make sensing systems trustworthy by design. For human sensing, we explore everyday fabrics as a ubiquitous, continuous sensing medium. Through hardware-software co-design, we address real-world challenges such as motion noise and user diversity, enabling applications ranging from physical motion sensing to physiological monitoring for kangaroo mother care and sleep.
On sensing the physical world, we investigate embedding verifiable physical signatures directly into the environment. I will present our design of imperceptible spatiotemporal light signatures that can be projected into a scene and embedded into any video recordings, enabling verification of live speech videos without requiring compliance from recording parties. I will also discuss our ongoing effort of embedding real-time, unforgeable, and robust audio watermarks into live speech audios, enabling verification of audio integrity.
Together, these efforts point toward a sensing paradigm where trust is not inferred after the fact, but physically embedded into signals and environments from which data is captured.
Bio: Xia Zhou is an Associate Professor in the Department of Computer Science at Columbia University, where she directs the Mobile X laboratory. Before joining Columbia in 2022, she was a faculty member in the Department of Computer Science at Dartmouth College. Her research lies broadly in mobile computing, with recent work exploring light and textile sensing for applications in health, security, robotics, and human–computer interaction. Her work has been widely recognized, including the 10-Year UbiComp Impact Award (2024), Best Paper Awards at MobiSys (2024) and NSDI (2020), SIGMOBILE Research Highlights (2016, 2017, 2026), along with other best paper, demo and video awards. She is a recipient of the Presidential Early Career Award (PECASE) in 2019, SIGMOBILE RockStar Award in 2019, the Karen E. Wetterhahn Memorial Award in 2018, and was named an N2Women Rising Star in 2017. She has also received the Sloan Research Fellowship in 2017, NSF CAREER Award in 2016, and Google Faculty Research Award in 2014. She received her Ph.D. at UC Santa Barbara in 2013 and her M.S. at Peking University in 2007.
Keynote 2: Performance Isolation in Embedded Systems: A HW/SW Co-design Perspective
Date: May 13, 2026, 9 am - 10 am
Speaker: Rodolfo Pellizzoni, University of Waterloo
Chair: TBD
Abstract: Modern embedded systems are increasingly deployed on heterogeneous Multiprocessor Systems-on-Chip (MPSoCs), where general purpose instruction processors interact with accelerators through complex memory hierarchies. Applications with different safety integrity levels are integrated in virtualization environments. In addition to providing logical isolation, the environment must assign computation and memory resources to meet diverse performance requirements, ensuring that each application is not negatively impacted by the (potentially erroneous or even malicious) behavior of co-running applications.
In recent years, the community has explored a bevy of techniques for resource management and isolation in MPSoCs. In this talk, I first introduce foundational software-based mechanisms and their limitations. I then discuss how improved hardware support can provide better system observability and diverse isolation guarantees based on application's criticality. I review memory management mechanisms provided by major hardware vendors, as well as proposals by my group and the rest of the community. Finally, I argue for portable abstractions to expose hardware resource management decisions at the hypervisor and OS level.
Bio: Rodolfo Pellizzoni is currently a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, which he first joined in 2010. He received his PhD in Computer Science from the University of Illinois at Urbana-Champaign. Rodolfo's research area is real-time embedded systems, with a particular emphasis on timing analysis and the design of predictable hardware-software architectures for safety-critical systems. As the head of the Waterloo High-Performance Embedded Computing group, his research span operating systems, compilers, computer architecture, hardware/software codesign, and digital design. His research contributions have been recognized with several paper awards at conferences and journals in real-time, embedded systems and FPGA design. Rodolfo has served on the organizing committees of numerous conferences in the real-time area, including serving as Program Chair of IEEE RTAS, IEEE RTCSA and ECRTS.
CPS-IoT Debate
Date: May 13, 2026, 4:30 pm - 6 pm
This house contends that even if AI-based autonomous cyber-physical systems may never be fully trustworthy, there will be sufficient research progress within the next 5 years to enable large-scale deployments in mission critical and safety critical applications.
Abdelzaher (Ph.D., UMich, 1999) is a Sohaib and Sara Abbasi Professor of CS and Willett Faculty Scholar (UIUC), with over 450 refereed publications in Real-time Computing, Distributed Systems, Sensor Networks, and IoT. He served as Editor-in-Chief of the Journal of Real-Time Systems for 15 years, an Associate Editor of IEEE TMC, IEEE TPDS, ACM ToSN, ACM TIoT, and ACM ToIT, among others, and as chair of multiple top conferences in his field. Abdelzaher received the IEEE Outstanding Technical Achievement and Leadership Award in Real-time Systems (2012), a Xerox Research Award (2011), and several best paper awards. He is a fellow of IEEE and ACM.
Alessandro Abate
Oxford, UK
Alessandro Abate is a Professor of Verification and Control in the Department of Computer Science at the University of Oxford. Earlier, he did research at Stanford University and at SRI International, and was an Assistant Professor at the Delft Center for Systems and Control, TU Delft. He received a Laurea degree from the University of Padova and MS/PhD at UC Berkeley.
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Samarjit Chakraborty
University of North Carolina, USA
Samarjit Chakraborty is a William R. Kenan, Jr. Distinguished Professor in the Department of Computer Science. Earlier, he was a professor at the Technical University of Munich, a researcher at the TUM CREATE Center for Electromobility in Singapore, and an assistant professor at the National University of Singapore. He obtained his PhD from ETH Zurich in 2003. His research interests focus on designing hardware and software for embedded computers. He has served on the editorial boards of several ACM and IEEE journals and the executive committee of prestigious conferences, such as DAC. In addition to funding from several governmental agencies, his research has also been supported by grants from General Motors, Intel, Google, BMW, Audi, Siemens and Bosch.
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Taylor Johnson
Vanderbilt, USA
Taylor T. Johnson is A. James and Alice B. Clark Foundation Chancellor Faculty Fellow, Director of Graduate Studies, and Associate Professor at Vanderbilt University. He directs the Verification and Validation for Intelligent and Trustworthy Autonomy Laboratory and is a Senior Research Scientist in the Institute for Software Integrated Systems and a Faculty Affiliate of the Data Science Institute. Earlier, he was an Assistant Professor at the University of Texas. Taylor earned a PhD in Electrical and Computer Engineering from the University of Illinois in 2013. Taylor's research focus is developing formal verification techniques and software tools for cyber-physical systems (CPS), with a focus most recently on autonomous CPS that incorporate artificial intelligence (AI) and machine learning (ML) components, such as neural networks, for tasks ranging from sensing/perception through planning/control.
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Martina Maggio
Saarland University, Germany
Martina Maggio is a Professor at Saarland University and holds a 20% appointment in Automatic Control at Lund University. Her research interests are at the interface of control theory and computing systems, with particular emphasis on resource allocation, real-time systems, and the verification of control systems under deadline misses and computational faults. She received her Ph.D. from Politecnico di Milano and has held research appointments at institutions including MIT CSAIL, Lund University, and Bosch Corporate Research.
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Archan Misra
Singapore Management University, Singapore
Archan Misra is Vice Provost (Research) and Lee Kong Chian Professor at Singapore Management University. His primary research interests are in the areas of human-robot collaboration, Embodied AI & Agentic AI, Mobile & Wearable Sensing & Computing (with emphasis on LIDAR & Event Vision Sensors), Ultra Low-Power AI and Spiking Neural Networks (SNN) for IoT (AIoT) and Smart City Services & Mobility Analytics. Prior to joining SMU, he spent over a decade as an industrial researcher, including stints as: a Senior Scientist at Telcordia Technologies, Research Staff Member at IBM T. J. Watson Research Center and Research Scientist at Bellcore). I'm a Distinguished Member of the ACM and a Senior Member of the IEEE.
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Sanjit Seshia
UC Berkeley, USA
Sanjit A. Seshia is the Cadence Founders Chair Professor at the University of California, Berkeley. He received an M.S. and Ph.D. in Computer Science from Carnegie Mellon University, and a B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Bombay. His research interests are in formal methods for dependable and secure computing, with a current focus on the areas of cyber-physical systems, computer security, machine learning, and robotics. He has made pioneering contributions to the areas of satisfiability modulo theories (SMT), SMT-based verification, and inductive program synthesis.
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