Difference between revisions of "Cyber-Physical Systems Laboratory"
From Cyber-Physical Systems Laboratory
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== Updates == | == Updates == | ||
* <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:# | + | * <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://doi.org/10.1016/j.jad.2022.04.015 Cross-trial Prediction of Depression Remission Using Problem-solving Therapy: A Machine Learning Approach ] [Journal of Affective Disorders] | ||
| + | |||
* <span style="color:#B22222"> '''[News]''' </span> [https://www.healio.com/news/hematology-oncology/20220221/model-predicts-deterioration-of-hospitalized-patients-with-cancer Model Predicts Deterioration of Hospitalized Patients with Cancer] (Healio) | * <span style="color:#B22222"> '''[News]''' </span> [https://www.healio.com/news/hematology-oncology/20220221/model-predicts-deterioration-of-hospitalized-patients-with-cancer Model Predicts Deterioration of Hospitalized Patients with Cancer] (Healio) | ||
* <span style="color:#B22222"> '''[News]''' </span> [https://www.dicardiology.com/content/new-fitbit-does-more-count-steps-it-may-save-your-life-one-day That new Fitbit does more than count steps. It may save your life one day.] (Diagnostic and Interventional Cardiology) | * <span style="color:#B22222"> '''[News]''' </span> [https://www.dicardiology.com/content/new-fitbit-does-more-count-steps-it-may-save-your-life-one-day That new Fitbit does more than count steps. It may save your life one day.] (Diagnostic and Interventional Cardiology) | ||
* <span style="color:#B22222"> '''[News]''' </span> [https://the-next-byte-wevolver.simplecast.com/episodes/55-wearable-technology-but-for-your-pets Research using Fitbit and machine learning to predict surgical outcomes (featured in the Next Byte podcast)] | * <span style="color:#B22222"> '''[News]''' </span> [https://the-next-byte-wevolver.simplecast.com/episodes/55-wearable-technology-but-for-your-pets Research using Fitbit and machine learning to predict surgical outcomes (featured in the Next Byte podcast)] | ||
| − | * <span style="color:# | + | * <span style="color:#008000"> '''[Paper]''' </span> [https://pubs.asahq.org/anesthesiology/article/doi/10.1097/ALN.0000000000004139/118579/Personalized-Surgical-Transfusion-Risk-Prediction Personalized Surgical Transfusion Risk Prediction Using Machine Learning to Guide Preoperative Type and Screen Orders] [Anesthesiology] |
| − | * <span style="color:# | + | * <span style="color:#008000""> '''[Paper]''' </span> [https://www.sciencedirect.com/user/error/ATP-2?pii=S1532046422000314 Predicting Physician Burnout Using Clinical Activity Logs: Model Performance and Lessons Learned] [Journal of Biomedical Informatics] |
| − | * <span style="color:# | + | * <span style="color:#008000"> '''[Paper]''' </span> [https://www.sciencedirect.com/science/article/pii/S0007091221008709?via%3Dihub Continuous Real-time Prediction of Surgical Case Duration Using a Modular Artificial Neural Network] [British Journal of Anaesthesia] |
* <span style="color:#B22222"> '''[News]''' </span> [https://source.wustl.edu/2021/11/washington-people-chenyang-lu/ Washington People: Chenyang Lu (WU Press)] | * <span style="color:#B22222"> '''[News]''' </span> [https://source.wustl.edu/2021/11/washington-people-chenyang-lu/ Washington People: Chenyang Lu (WU Press)] | ||
* <span style="color:#B22222"> '''[News]''' </span> [https://engineering.wustl.edu/news/2021/Wearable-fitness-trackers-help-physicians-track-patient-health.html Trackers Help Physicians Track Patient Health (WU Press)] | * <span style="color:#B22222"> '''[News]''' </span> [https://engineering.wustl.edu/news/2021/Wearable-fitness-trackers-help-physicians-track-patient-health.html Trackers Help Physicians Track Patient Health (WU Press)] | ||
Revision as of 05:41, 25 May 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.
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.
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Locations
- Lab: Jolley Hall 219A
Updates
- [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]
