Difference between revisions of "Cyber-Physical Systems Laboratory"
From Cyber-Physical Systems Laboratory
Jump to navigationJump to search| (2 intermediate revisions by 2 users not shown) | |||
| Line 2: | Line 2: | ||
The Cyber-Physical Systems Laboratory (CPSL) at [http://www.wustl.edu/ 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. | The Cyber-Physical Systems Laboratory (CPSL) at [http://www.wustl.edu/ 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. | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
* <span style="color:#B22222"> '''[News]''' </span> [https://engineering.wustl.edu/news/2022/Lu-wins-award-for-most-influential-paper-in-real-time-systems.html Lu Wins Award for Most Influential Paper in Real-Time Systems] | * <span style="color:#B22222"> '''[News]''' </span> [https://engineering.wustl.edu/news/2022/Lu-wins-award-for-most-influential-paper-in-real-time-systems.html Lu Wins Award for Most Influential Paper in Real-Time Systems] | ||
* <span style="color:#008000""> '''[Paper]''' </span> [https://www.cse.wustl.edu/%7Elu/papers/sp22-rt-tee.pdf RT-TEE: Real-Time System Availability for Cyber-Physical Systems Using ARM TrustZone ] [SP'22] | * <span style="color:#008000""> '''[Paper]''' </span> [https://www.cse.wustl.edu/%7Elu/papers/sp22-rt-tee.pdf RT-TEE: Real-Time System Availability for Cyber-Physical Systems Using ARM TrustZone ] [SP'22] | ||
| Line 25: | Line 16: | ||
* <span style="color:#B22222"> '''[News]''' </span> [https://engineering.wustl.edu/news/2021/Early-warning-system-model-predicts-deterioration-of-hospitalized-cancer-patients-based-on-clinical-data.html Early Warning System Model Predicts Deterioration of Hospitalized Cancer Patients Based on Clinical Data (WU Press)] | * <span style="color:#B22222"> '''[News]''' </span> [https://engineering.wustl.edu/news/2021/Early-warning-system-model-predicts-deterioration-of-hospitalized-cancer-patients-based-on-clinical-data.html Early Warning System Model Predicts Deterioration of Hospitalized Cancer Patients Based on Clinical Data (WU Press)] | ||
* <span style="color:#B22222"> '''[Editorial]''' </span> [https://dl.acm.org/doi/pdf/10.1145/3464945 Toward a Scientific and Engineering Discipline of Cyber-Physical Systems] [[https://dl.acm.org/journal/tcps TCPS]] | * <span style="color:#B22222"> '''[Editorial]''' </span> [https://dl.acm.org/doi/pdf/10.1145/3464945 Toward a Scientific and Engineering Discipline of Cyber-Physical Systems] [[https://dl.acm.org/journal/tcps TCPS]] | ||
| − | * <span style="color:# | + | * <span style="color:#008000""> '''[Paper]''' </span> [https://www.cse.wustl.edu/%7Elu/papers/cikm21.pdf Integrating Static and Time-Series Data in Deep Recurrent Models for Oncology Early Warning Systems] [[https://www.cikm2021.org CIKM'21]] |
* <span style="color:#B22222"> '''[News]''' </span> [https://engineering.wustl.edu/news/2021/Lu-named-editor-in-chief-of-ACM-Transactions-on-Cyber-Physical-Systems.html Dr. Chenyang Lu named Editor-in-Chief of ACM Transactions on Cyber-Physical Systems] (03/2021) | * <span style="color:#B22222"> '''[News]''' </span> [https://engineering.wustl.edu/news/2021/Lu-named-editor-in-chief-of-ACM-Transactions-on-Cyber-Physical-Systems.html Dr. Chenyang Lu named Editor-in-Chief of ACM Transactions on Cyber-Physical Systems] (03/2021) | ||
* <span style="color:#B22222"> '''[News]''' </span> [https://www.acm.org/media-center/2021/january/fellows-2020 Dr. Chenyang Lu named ACM Fellow] [https://source.wustl.edu/2021/01/lu-named-association-for-computing-machinery-fellow/ (WU Press)] (1/2021) | * <span style="color:#B22222"> '''[News]''' </span> [https://www.acm.org/media-center/2021/january/fellows-2020 Dr. Chenyang Lu named ACM Fellow] [https://source.wustl.edu/2021/01/lu-named-association-for-computing-machinery-fellow/ (WU Press)] (1/2021) | ||
Latest revision as of 02:56, 13 October 2022
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.
- [News] Lu Wins Award for Most Influential Paper in Real-Time Systems
- [Paper] RT-TEE: Real-Time System Availability for Cyber-Physical Systems Using ARM TrustZone [SP'22]
- [Paper] Cross-trial Prediction of Depression Remission Using Problem-solving Therapy: A Machine Learning Approach [Journal of Affective Disorders]
- [News] Model Predicts Deterioration of Hospitalized Patients with Cancer (Healio)
- [News] That new Fitbit does more than count steps. It may save your life one day. (Diagnostic and Interventional Cardiology)
- [News] Research using Fitbit and machine learning to predict surgical outcomes (featured in the Next Byte podcast)
- [Paper] Personalized Surgical Transfusion Risk Prediction Using Machine Learning to Guide Preoperative Type and Screen Orders [Anesthesiology]
- [Paper] Predicting Physician Burnout Using Clinical Activity Logs: Model Performance and Lessons Learned [Journal of Biomedical Informatics]
- [Paper] Continuous Real-time Prediction of Surgical Case Duration Using a Modular Artificial Neural Network [British Journal of Anaesthesia]
- [News] Washington People: Chenyang Lu (WU Press)
- [News] Trackers Help Physicians Track Patient Health (WU Press)
- [News] Early Warning System Model Predicts Deterioration of Hospitalized Cancer Patients Based on Clinical Data (WU Press)
- [Editorial] Toward a Scientific and Engineering Discipline of Cyber-Physical Systems [TCPS]
- [Paper] Integrating Static and Time-Series Data in Deep Recurrent Models for Oncology Early Warning Systems [CIKM'21]
- [News] Dr. Chenyang Lu named Editor-in-Chief of ACM Transactions on Cyber-Physical Systems (03/2021)
- [News] Dr. Chenyang Lu named ACM Fellow (WU Press) (1/2021)
- [Talk] Digital Phenotyping with Wearables: Learning from Wearable Data to Predict Clinical Outcomes [Washington University School of Medicine]
- [Talk] Interdisciplinary Research: Advice and Opportunities [Guest lecture at UIUC]
- [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]
