Difference between revisions of "Cyber-Physical Systems Laboratory"
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| − | The | + | 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:#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> [ | + | * <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:# | + | * <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:# | + | * <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:# | + | * <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:# | + | * <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:# | + | * <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://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:# | + | * <span style="color:#000000"> '''[Talk]''' </span> [https://informatics.wustl.edu/event/digital-phenotyping-with-wearables-learning-from-wearable-data-to-predict-clinical-outcomes/ Digital Phenotyping with Wearables: Learning from Wearable Data to Predict Clinical Outcomes] [Washington University School of Medicine] |
| − | * <span style="color:# | + | * <span style="color:#000000"> '''[Talk]''' </span> [https://www.cse.wustl.edu/~lu/talks/interdiciplinary-advice.pdf Interdisciplinary Research: Advice and Opportunities] [Guest lecture at UIUC] |
| − | * <span style="color:#008000"> '''[Paper]''' </span> [ | + | * <span style="color:#008000"> '''[Paper]''' </span> [https://www.cse.wustl.edu/~lu/papers/emsoft20.pdf Exploring Edge Computing for Multi-Tier Industrial Control] [[http://esweek.hosting2.acm.org/emsoft/ EMSOFT'20]] |
| − | + | * <span style="color:#008000"> '''[Paper]''' </span> [https://www.cse.wustl.edu/~lu/papers/iotdi20a.pdf REACT: an Agile Control Plane for Industrial Wireless Sensor-Actuator Networks] [[https://conferences.computer.org/iotDI/2020/ IoTDI'20]] | |
| − | * <span style="color:#B22222"> '''[News]''' </span> [ | + | * <span style="color:#008000"> '''[Paper]''' </span> [https://www.cse.wustl.edu/~lu/papers/iotdi20b.pdf Adaptive Data Replication in Real-Time Reliable Edge Computing for Internet of Things] [[https://conferences.computer.org/iotDI/2020/ IoTDI'20]] |
| − | * <span style="color:# | + | * <span style="color:#B22222"> '''[News]''' </span> [https://www.cse.wustl.edu/~lu/openings.html PhD Student Openings in AI for Healthcare] |
| − | * <span style="color:# | + | * <span style="color:#000000"> '''[Talk]''' </span> [https://www.cse.wustl.edu/~lu/talks/IoMT.html Internet of Medical Things: Predicting Clinical Outcomes and Digital Phenotyping with Wearables and Machine Learning] [Washington University School of Medicine] |
| − | * <span style="color:#000000"> '''[Talk]''' </span> [ | + | * <span style="color:#000000"> '''[Talk]''' </span> [https://www.cse.wustl.edu/~lu/talks/mHealth.pdf Predicting Clinical Outcomes with Wearables: Machine Learning from Small Data] [[https://mhealth.wustl.edu/ mHealth Research Core]] |
| − | * <span style="color:# | + | * <span style="color:#000000"> '''[Talk]''' </span> [https://www.cse.wustl.edu/~lu/talks/AI-for-Healthcare.pdf Machine Learning for Healthcare: From Wearables to Electronic Health Record] [AI in Health, Washington University] |
| − | * | + | * <span style="color:#008000"> '''[Paper]''' </span> [https://www.cse.wustl.edu/~lu/papers/aaai20.pdf DeepAlerts: Deep Learning Based Multi-horizon Alerts for Clinical Deterioration on Oncology Hospital Wards] [[https://aaai.org/Conferences/AAAI-20/ AAAI'20]] |
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| − | + | * [[News Archive]] | |
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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]
