CPS Events
CPSRC Seminar Series: What is System Identification and How Does it Relate to Estimation of System Parameters?
Abstract:
Driving an automobile involves identifying processes perceived by the driver. This presently hot topic is one of the many applications of system identification. But the mathematical ideas seem to have started with ancient astronomers predicting the seasons and even eclipses. Then mathematicians and physicists got into the act. Now even engineers are using system identification as a tool, with estimation of parameters as part of the tool.
Bio:
Since 2000, Don Wiberg has been teaching and researching at UCSC in both the Dept. of Electrical and Dept. of Computer Engineering, and was a researcher in the Center for Adaptive Optics here from 2001-2011. Don is a Life Fellow of IEEE. He retired as Professor of Engineering and Applied Science in the Electrical Engineering Department at UCLA in 1994, after 29 years there, where he was also Professor of Anesthesiology. In 1995 he served as Sen. Tom Harkin’s (Dem. IA) Legislative Assistant in Defense Appropriations, Energy, Environment, Arms Control, and Veteran’s Affairs as IEEE Congressional Fellow. He was a Fulbright Senior Fellow in Denmark in 1976-7 and in Norway in 1983-4, and he visited at DFVLR, Munich, 1969-70, U. Newcastle, Aus., 1989-90, U. Maryland, 1993-94, and Ajou U., Suwan, South Korea, 2006-07.
Watch the seminar on our YouTube channel: https://youtu.be/LBVkAHeRrcw
CPSRC Seminar Series: Embedded 3D Printing of Autonomous and Somatosensory Soft Robots
Abstract:
Recent advances in soft robotics motivate the need for new fabrication strategies that enable the heterogeneous, programmable assembly of soft matter with disparate mechanical, electrical, and/or chemical properties into functional architectures. I will introduce a free-form, multimaterial 3D printing technique for manufacturing soft robots that I developed for my Ph.D. research. In this approach, known as embedded 3D (EMB3D) printing, functional and fugitive inks are extruded through a nozzle that is translated omnidirectionally within a soft, viscoplastic matrix material that surrounds and supports the printed features (e.g. catalytic, sensing, and pneumatic networks). I will first describe how matrix material rheology, printing parameters, and print path selection influence overall print fidelity. Next, my recent work in EMB3D printing entirely soft, hardware-free robots will be highlighted. Finally, I will present our work in EMB3D printing soft somatosensitive actuators innervated with multiple conductive features for haptic, proprioceptive, and thermoceptive sensing in soft robotic end effectors. Our integrated design, materials, and manufacturing approach can be readily extended to other soft robotic systems that are entirely soft, require somatosensory feedback for improved control, or cannot be made with traditional manufacturing methods.
Bio:
Ryan Truby is a Postdoctoral Fellow at Harvard University’s John A. Paulson School of Engineering and Applied Sciences and Wyss Institute for Biologically Inspired Engineering working at the intersection of multifunctional soft materials, additive manufacturing, and soft robotics. He received his Ph.D. in Applied Physics from Harvard University in December 2017. As a National Science Foundation Graduate Research Fellow and recipient of a MRS Graduate Student Gold Award, Ryan conducted his dissertation research in Prof. Jennifer Lewis’ laboratory on 3D printing of novel soft robotic systems. These included sensorized soft robots with bioinspired sensory capabilities as well as autonomous systems like the Octobot he co-invented with collaborators from Harvard’s Microrobotics Lab. Before Harvard, Ryan attended The University of Texas at Austin, earning his Bachelors of Science in Biomedical Engineering with a Minor in Physics. His undergraduate research focused on developing a collection of optically and magnetically active nanoparticle contrast agents for selectively imaging cancer with several ultrasound-based, molecular imaging techniques. He also conducted research at M.D. Anderson Cancer Center in Houston, Texas, and Sandia National Labs’ Center for Integrated Nanotechnologies in Albuquerque, New Mexico.
Since beginning his Ph.D., Ryan has remained an active teacher. At Harvard, he served two semesters as a Teaching Fellow for BE 191 – Introduction to Biomaterials, an undergraduate course at Harvard SEAS that he helped develop with Prof. Lewis, and organized a daylong summer 3D printing workshop for middle school girls hosted by Harvard’s Materials Science and Engineering Research Center. He has also worked with the Innovation Institute in Newtonville, Massachusetts, to develop and teach both a weeklong 3D printing summer camp for middle school students and a semester-long seminar class for high school students on materials science and engineering called At the Frontiers of Materials Science – Designing Matter that Matters.
Addressing Security And Privacy Challenges In Internet Of Things
Abstract:
Internet of Things (IoT) is envisioned as a holistic and transformative approach for providing numerous services. Smart things, that can sense, store, and process electrical, thermal, optical, chemical, and other signals to extract user-/environment-related information, have enabled services only limited by human imagination. Despite picturesque promises of IoT-enabled systems, the integration of smart things into the standard Internet introduces several security and privacy challenges because the majority of Internet technologies, communication protocols, and sensors were not designed to support IoT.
In this presentation, I will shed light on fundamental security challenges in IoT paradigm and argue that we need to rethink the development of multiple IoT-enabled systems while taking security requirements into account. Bridging concepts from information security, machine learning, and signal processing, I will demonstrate that the threat of unintended private information leakage from seemingly non-critical data is far beyond what is currently thought possible. In particular, I will describe PinMe, a novel user-location mechanism that exploits non-sensory/sensory data collected from smartphones or Internet-connected vehicles, along with publicly-available auxiliary information, e.g., elevation maps, to estimate the user's location when all location services, e.g., Global Positioning System (GPS), are turned off.
Next, I will present a novel framework that integrates programmability and security into isolated vehicles and enables rapid development of new vehicular applications for already-in-market vehicles, significantly enhancing the vehicle security, passenger safety, and driving experience. The proposed framework is formed around a security/privacy-friendly programmable dongle (known as SmartCore) and a middlware that enables developers to interact with the vehicle's built-in components in a safe and secure manner, preventing numerous potential threats against Internet-connected vehicles.
Bio:
Arsalan Mosenia is currently a postdoctoral research associate, jointly working with Profs. Mung Chiang (Purdue University) and Prateek Mittal (Princeton University). He received the B.Sc. degree in Computer Engineering from Sharif University of Technology in 2012, and the M.A. and Ph.D. in Electrical Engineering from Princeton University, in 2014 and 2016, respectively, under the supervision of Prof. Niraj K. Jha.
He is broadly interested in investigating and addressing emerging security and privacy challenges in Internet of Things (IoT) and cyber-physical systems. His interests lie at the intersection of information security, IoT, embedded systems, and machine learning. His work has uncovered fundamental security/privacy flaws in the design of multiple widely-used Internet-connected systems. His research impact includes several publications that are among the most popular papers of top-tier IEEE Transactions, multiple prestigious awards (including Princeton X, Princeton Innovation Fund, French-American Doctoral Exchange Fellowship, and Princeton IP Accelerator Fund), and extensive press coverage. Furthermore, at OpenFog Consortium, he is actively collaborating with Security Work Group, where he defines domain-specific security standards for fog computing, and Testbed Work Group, where he designs, builds, and examines novel fog-inspired real-world systems.
The Science Of Cyber-Physical System Design
Abstract:
Science is knowledge that allows us to make predictions. What is the science of system design? What predictions can we make about the systems we build and deploy? Using examples from our own research, we advocate a formal approach to tackling these questions. In particular, we present some of our recent work on: (1) the Refinement Calculus of Reactive Systems, a compositional modeling and formal reasoning framework; (2) synthesis from scenarios and requirements, a powerful combination of learning from examples and synthesis from specifications; and (3) synthesis of platform mappings with applications to security.
Bio:
Stavros Tripakis is a Full Professor at Aalto University, and an Adjunct Associate Professor at the University of California, Berkeley. He received a Ph.D. degree in Computer Science in 1998 at the Verimag Laboratory, Joseph Fourier University, Grenoble, France. He was a Postdoc at UC Berkeley from 1999 to 2001, a CNRS Research Scientist at Verimag from 2001 to 2006, and a Research Scientist at Cadence Research Labs, Berkeley, from 2006 to 2008. His research interests include cyber-physical systems, computer-aided verification, and the foundations of software and system design. Dr. Tripakis was co-Chair of the 10th ACM & IEEE Conference on Embedded Software (EMSOFT 2010), and Secretary/Treasurer (2009-2011) and Vice-Chair (2011-2013) of ACM SIGBED. His h-index is 45.
A Decade Of Research In CPS Security: An Unconsummated Union Between Control Theory And Information Security
Abstract:
Advances in embedded computers and networks that monitor and control physical systems are improving our productivity, sustainability, and well-being, but they also introduce security risks associated with information technology. To fully understand the risks of these technologies, and to develop resilient security and privacy mechanisms in cyber-physical systems, we need concepts from control as well as information security. In the last decade, the control community has proposed fundamental advances in Cyber-Physical Systems (CPS) security; in parallel, the computer security community has also achieved significant advances in practical implementation aspects for CPS security and privacy. While both of these fields have made significant progress independently, there is still a large language and conceptual barrier between the two fields, and as a result, computer security experts have developed a parallel and independent research agenda from control theory researchers. In order to design future CPS security and privacy mechanisms, the two communities need to come closer together and leverage the insights that each has developed. In this talk I will discuss our efforts to facilitate the integration of these two communities by leveraging the physical properties of the system under control for designing novel security and privacy algorithms, tools, and metrics for CPS. I will also discuss our ongoing research on the tradeoffs between security and privacy in cyber-physical systems, and conclude the talk with practical examples of the new threat vectors and vulnerabilities in Internet of Things devices.
Bio:
Alvaro A. Cardenas is an Assistant Professor at the Department of Computer Science at the University of Texas at Dallas. He holds M.S. (2002) and Ph.D. (2006) degrees in Electrical Engineering from the University of Maryland, College Park. Before joining UT Dallas he was a postdoctoral scholar at the University of California, Berkeley, and a research staff at Fujitsu Laboratories of America in Sunnyvale California. He has also been an intern at INRIA-LORIA in France, and a SCADA intern at Occidental Petroleum Corporation. His research interests focus on cyber-physical systems and IoT security and privacy. He is the recipient of the NSF CAREER award, best paper awards from the IEEE Smart Grid Communications Conference and the U.S. Army Research Conference, and a Fellowship from the University of Maryland.
