Difference between revisions of "Cyber-Physical Systems Laboratory"
From Cyber-Physical Systems Laboratory
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* <span style="color:#008000"> '''[Paper]''' </span> [http://www.cse.wustl.edu/~lu/papers/tcps18.pdf Holistic Cyber-Physical Management for Dependable Wireless Control Systems] [[https://tcps.acm.org/ TCPS]] | * <span style="color:#008000"> '''[Paper]''' </span> [http://www.cse.wustl.edu/~lu/papers/tcps18.pdf Holistic Cyber-Physical Management for Dependable Wireless Control Systems] [[https://tcps.acm.org/ TCPS]] | ||
* <span style="color:#008000"> '''[Paper]''' </span> [http://www.cse.wustl.edu/~lu/papers/rtas18.pdf Multi-Mode Virtualization for Soft Real-Time Systems] [[http://2018.rtas.org/ RTAS'18]] | * <span style="color:#008000"> '''[Paper]''' </span> [http://www.cse.wustl.edu/~lu/papers/rtas18.pdf Multi-Mode Virtualization for Soft Real-Time Systems] [[http://2018.rtas.org/ RTAS'18]] | ||
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* [[News Archive]] | * [[News Archive]] | ||
Revision as of 05:52, 29 September 2020
The Cyber-Physical Systems Laboratory (CPSL) at Washington University performs cutting-edge research on AI and machine learning for healthcare, mobile health, real-time systems, Internet of Things, and cyber-physical systems that cross-cut computing and other disciplines.
What is Cyber-Physical Systems (CPS)? CPS is a holistic design methodology that co-designs the cyber and physical aspects of networked embedded systems. By breaking the barrier between cyber and physical designs, CPS will result in drastic improvement to networked embedded systems and new systems that we cannot build today. This talk elaborates on our perspective on CPS.
Locations
- Lab: Jolley Hall 219A
Updates
- [Paper] Exploring Edge Computing for Multi-Tier Industrial Control [EMSOFT'20]
- [Paper] REACT: an Agile Control Plane for Industrial Wireless Sensor-Actuator Networks [IoTDI'20]
- [Paper] Adaptive Data Replication in Real-Time Reliable Edge Computing for Internet of Things [IoTDI'20]
- [News] PhD Student Openings in AI for Healthcare
- [Talk] Internet of Medical Things: Predicting Clinical Outcomes and Digital Phenotyping with Wearables and Machine Learning [Washington University School of Medicine]
- [Talk] Predicting Clinical Outcomes with Wearables: Machine Learning from Small Data [mHealth Research Core]
- [Talk] Machine Learning for Healthcare: From Wearables to Electronic Health Record [AI in Health, Washington University]
- [Paper] DeepAlerts: Deep Learning Based Multi-horizon Alerts for Clinical Deterioration on Oncology Hospital Wards [AAAI'20]
- [Paper] Predicting Latency Distributions of Aperiodic Time-Critical Services [RTSS'19]
- [Paper] Feasibility Study of Monitoring Deterioration of Outpatients Using Multi-modal Data Collected by Wearables [HEALTH]
- [News] Abusayeed Saifullah became the 4th NSF CAREER Awardee among CPSL alumni (7/2019)
- [Paper] FRAME: Fault Tolerant and Real-Time Messaging for Edge Computing [ICDCS'19]
- [Talk] Dependable Industrial Internet of Things (Slides)[Keynote at CPS Week 2018]
- [Event] Dr. Chengyang Lu serving as General Chair of the first IEEE International Conference on Industrial Internet (ICII'18)
- [News] Dr. Chenyang Lu serves as Chair of IEEE Technical Committee on Real-Time Systems
- [Event] Dr. Chengyang Lu serves as IoT Chair of ACM Embedded Systems Week
- [News] Washington University in St. Louis atop the embedded and real-time systems area in the new CS Rankings
- [Event] Dr. Chengyang Lu serves as General Chair of ACM/IEEE International Conference on Internet of Things Design and Implementation(IoTDI'18)
- [Paper] Holistic Cyber-Physical Management for Dependable Wireless Control Systems [TCPS]
- [Paper] Multi-Mode Virtualization for Soft Real-Time Systems [RTAS'18]
