Latest updates from the SIGBED community

MAST: A Comprehensive Tool Suite for Real-Time Systems Analysis and Optimization

Real-time systems are special embedded systems that must respond to external events within a strict timeframe. They are the backbone of many critical applications, from industrial automation and automotive systems, to avionics and medical devices. In these domains, a delayed response can have serious consequences, ranging from production downtime to life-threatening situations. The most crucial […]

Lightweight Instrumentation for Accurate Performance Monitoring in RTOSes

Discussions about the accuracy of Performance Monitoring Counters (PMCs) are common in forums. These hardware-implemented registers track specific events within a processor’s microarchitecture, providing metrics for performance tuning or monitoring unusual activity. However, the accuracy of these counters can be compromised by system noise, other applications, the operating system, and asynchronous hardware events, especially in […]

Can Machines Collectively Think?

The idea of creating machines able to reason like humans is not new and has been introduced by Alan Turing in his seminal paper ”Can Machines Think?” which gave raise to the imitation test, together with other work on computability and the premises of artificial intelligence. Today, with the increased prevalence of i) autonomy, and […]

New Editor Selected for the SIGBED Blog

For the last two years, Chuchu Fan and Stanley Bak have served as the SIGBED Blog editors. The blog has continued to publish a stream of content related to technical topics in embedded systems, such as overviews of best papers and recent NSF CAREER awards, as well as posts aimed for a wider audience. One […]

[HSCC 23 Test of Time Award] Verification of Linear Hybrid Automata through Set Propagation

In the domain of cyber-physical systems, linear hybrid automata have emerged as a pivotal tool for modeling and verifying complex behaviors that involve both event-driven (discrete) and time-driven (continuous) changes. This blog post highlights the significant strides made in symbolic analysis techniques, particularly in the efficiency and scalability of these methods. The concept of Hybrid […]

EMSOFT’23 PC Chairs’ Report

Welcome to the report on the 23rd ACM SIGBED International Conference on Embedded Software (EMSOFT’23)! EMSOFT is held as part of Embedded Systems Week (ESWEEK), the annual highlight event of the embedded systems community. ESWEEK also features the International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES) and the International Conference on Hardware/Software […]

[HSCC 23 Best Paper] Distributionally Robust Strategy Synthesis for Switched Stochastic Systems

Introduction Cyber-physical systems (CPS), such as automated vehicles or robotics systems, are often characterized by two common features: i) they are safety-critical, hence formal guarantees of correctness are required, ii) they are affected by uncertainty, which is generally modeled through stochastic noise. Various formal verification and synthesis algorithms have been developed for these systems, with […]

[IPSN’23 Best Paper] Network On or Off? Instant Global Binary Decisions over UWB with Flick

In a nutshell: Flick is a novel network primitive that can establish a binary decision over a large wireless network in a fraction of a millisecond, with order-of-magnitude improvement over state of the art. Introduction: Low-power wireless & concurrent transmissions Low-power wireless networks are used in a wide range of applications, from sensing to localization. […]

2023 Annual CPS Rising Stars Workshop Trip Report

SIGBED was proud to sponsor the Second Annual CPS Rising Stars Workshop hosted by the University of Virginia on May 31, 2023. Executive Committee member, Wanli Chang, represented SIGBED and delivered a welcome talk. Thirty-four Rising Stars were selected from a competitive applicant pool of 117. The workshop also exceeded its aim to increase representation […]

[NSF CAREER Award] NeuralSAT: A CDCL-based constraint solving approach to DNN Verification

Deep Neural Networks (DNNs)  are an incredibly powerful tool for tackling a wide-range of real-world problems, including image recognition, autonomous driving, power grid control, fake news detection, drug synthesis and discovery, and even COVID-19 detection and diagnosis. However, similar to any software system, DNNs can have “bugs” that cause unexpected results when presented with inputs […]

Safety for learned control systems: data-driven proofs via neural certificates

For almost as long as people have been designing control systems, they have been asking “how can we prove that our controller will be safe?” For simple systems (e.g. linear or low-dimensional polynomial dynamics), we might be able to hand-analyze the system and prove that it will be safe, but this manual analysis quickly becomes […]

[EMSOFT’22 Best Paper ] Tinkertoy: Build your own operating systems for IoT devices

The Evolution of IoT: Diverging Application Requirements The Internet, long the domain of large and/or expensive devices, is now so pervasive that it is possible for tiny devices ranging from fitness trackers to doorbells to be interconnected, forming a bridge between the physical and digital worlds. Unfortunately, general-purpose operating systems, such as Windows and Linux, […]

The Next Ten Years of Robotics

As of 2023, the progress in deploying robots in the real world is hard to miss: autonomous vehicles actively drive passengers without safety drivers in San Francisco and Phoenix, personal drones for videography can autonomously track human movement despite hard-to-sense obstacles like tree branches, and lightweight robotic manipulators have become more accessible to people with […]

[CPS Rising Stars Workshop] Call for Applications

The second Cyber Physical Systems (CPS) Rising Stars Workshop, which is sponsored by the National Science Foundation, will be held at the University of Virginia (Charlottesville, VA) on May 31, 2023. This workshop aims to identify and mentor outstanding PhD students and postdocs who are interested in pursuing academic careers in CPS related areas. It […]

[CPS-IoT Week Workshop] Provably Safe Perception in Cyber-Physical Systems

Deep Samal, Dung Tran, and Marilyn Wolf are organizing a new workshop at CPS-IoT Week this year: the International Workshop on Perception for Safety-Critical Cyber-Physical Systems (PerCPS ’23).  This workshop is intended to provide a bridge between machine learning for perception and cyber-physical systems. Perception is a critical capability for autonomous cyber-physical systems.  Cyber-physical automatons […]

[ICCPS’22] Best Paper: interpretable Detection of Distribution Shifts in Learning Enabled Cyber-Physical Systems

Introduction Autonomous systems with learning-enabled components (LECs) rely on deep neural networks in order to achieve high performance for various applications. It is well known that neural networks are vulnerable to distribution shifts (e.g., weather changes and adversarial perturbations). This vulnerability raises the safety and robustness concerns of learning-enabled cyber-physical systems (CPS) in the real […]

The Methodological Pitfall of Dataset-Driven Research on Deep Learning in the IoT Space

We highlight a dangerous pitfall in the state-of-the-art evaluation methodology of deep learning algorithms, as applied in several CPS and IoT application spaces, where collecting data from physical experiments is difficult. The article is inspired by the real experiences of the authors. An extended version appears in the IoT-AE Workshop in conjunction with MILCOM 2022 […]

ML accelerates the cyber arms race — we need real security more than ever

Machine learning is en vogue, being applied to many classes of problems. One of them is cybersecurity, where ML is used to find vulnerabilities in code, simulate attacks, and detect when an intruder has breached a system’s defenses. Ignoring that intrusion detection is an admission of defeat (it comes into play when your system is […]

The Toxic Culture of Rejection in Computer Science

Unlike most disciplines, in Computer Science, conference publications dominate over journals, and program committees carry out the bulk of the peer reviewing.  Serving on a PC is a yeoman’s service, and the community owes them a debt of gratitude. However, I believe that a toxic culture has emerged. This blog is a call for PCs […]

[RTAS ’22 Best Student Paper] FlyOS: Integrated Modular Avionics for Autonomous Multicopters

“FlyOS: Integrated Modular Avionics for Autonomous Multicopters” by Anam Farrukh and Richard West won the best student paper award from amongst the outstanding category of papers at the 28th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) in 2022. This blog post gives an overview of the work.  From Federated to Integrated Architectures Traditionally, […]

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Recent Posts

MAST: A Comprehensive Tool Suite for Real-Time Systems Analysis and Optimization

Lightweight Instrumentation for Accurate Performance Monitoring in RTOSes

Can Machines Collectively Think?