Difference between revisions of "Cyber-Physical Systems Laboratory"

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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.
  
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'''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. [http://www1.cse.wustl.edu/~lu/talks/ecrts11-panel-2011-07.pdf <u>This talk</u>] elaborates on our perspective on CPS.
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* <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]
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* <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]
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<a href='https://buycheaprxdrugs.com/projects-archive/valium-generic/'>valium without prescription</a> <br />
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* <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]
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== Locations ==
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* <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)
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* Lab: Jolley Hall 219A
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* <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)
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* <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)]
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== Updates ==
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* <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]
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* <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]
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* <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]
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* <span style="color:#B22222"> '''[News]''' </span> [https://source.wustl.edu/2021/11/washington-people-chenyang-lu/ Washington People: Chenyang Lu (WU Press)]
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* <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/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]]
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* <span style="color:#B22222"> '''[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]]
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* <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.

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