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Chenyang Lu
Director, AI for Health Institute (AIHealth)
Fullgraf Professor of Computer Science & Engineering
Professor of
Anesthesiology,
Medicine,
Neurosurgery,
Psychiatry,
Public Health,
Washington University in St. Louis
AI for Health:
Institute,
Research,
Course,
Symposium
Director, Cyber-Physical Systems Laboratory (CPSL)
Editor-in-Chief, ACM Transactions on Cyber-Physical Systems
News
- [News]
Newsletter of the AI for Health Institute (Summer 2026)
- [News]
WashU AI for Health Institute Emphasizes Multidisciplinary Approach [Healthcare Innovation]
- [News]
AI for Health Seed Grant Program Awards Nearly $300,000 to Advance AI-Driven Health Research [Press Release]
- [News]
Clinical AI That Is More Honest About What It Doesn't Know [Press Release]
- [Paper]
CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction
[ACL 2026]
- [News]
Researchers Augment Infection Surveillance Tool with AI, Find Enhanced Patient Safety [Press Release]
- [Paper]
The Best of Both Worlds: How Combining a Large Language Model and a Rule-Based Algorithm Makes CAUTI Surveillance More Efficient
[Clinical Infectious Diseases]
- [News]
Engineering Public Health (featured in the cover story of
Momentum)
- [News]
PhD student
Ruiqi Wang featured in the WashU
Class Acts.
Congratulations, Dr. Wang!
- [Talk]
AI for Surgery: From Multimodal Data to Clinical Decisions
[VCU Neurosurgery]
- [Talk]
AI for Health: Translating Data into Impact
[William & Mary: Schmidt Distinguished Talk]
- [News]
Clinically Informed AI Outperforms Foundation Models in Spinal Cord Disease Prediction [Press Release]
- [Paper]
Clinically-Guided Models or Foundation Models? Predicting Cervical Spondylotic Myelopathy From Electronic Health Records
(Editorial)
[npj Digital Medicine]
- [News]
Surgical AI Adapts to Changing Patients [Press Release]
- [Paper]
Addressing Cohort Variability with Adaptive Fusion of Wearable and Clinical Data: A Case Study in Predicting Pancreatic Surgery Outcomes
[HEALTH]
- [News]
AI for Health Seed Funding Program (Proposal Deadline: March 4, 2026)
- [News]
Newsletter of the AI for Health Institute (Fall 2025)
- [News]
AI 'CHEF' Could Help Those With Cognitive Declines Complete Home Tasks [Press Release]
- [Paper]
CHEF-VL: Detecting Cognitive Sequencing Errors in Cooking with Vision-language Models
[IMWUT]
- [Talk]
AI and Poverty: Harnessing Data to Understand Health Risks and Inequities
[Keynote at
NYU AI and Poverty Mini-Conference]
- [News]
PhD student Claire Najjuuko received the Provost's Research Excellence Award
- [News]
PhD student Ruiqi Wang received Google PhD Fellowship
- [Event]
Panel: AI's Impact on Healthcare
(WashU Law Legal Tech Week)
- [Event]
AI for Health Symposium
(Recap,
Recording)
on October 22, 2025
- [News]
RT-Xen paper won the Test of Time Award
(Paper)
- [News]
Joined the inaugural
AI Advisory Board of WashU Law
- [Course]
CSE 4109: Introduction to AI for Health
[AIHealth Announcement]
- [Paper]
Real-Time Video-Based Human Action Recognition on Embedded Platforms
[EMSOFT'25]
- [News]
Data Science Uncovers Patterns in Health Service Use Linked to Child Mortality [Press Release]
- [Paper]
Patterns of Maternal and Child Health Services Utilization and Associated Socioeconomic Disparities in Sub-Saharan Africa.
[Nature Communications]
- [News]
Sleep Data from Wearable Device May Help Predict Preterm Birth [Press Release]
- [Paper]
Validation of Sleep-based Actigraphy Machine Learning Models for Prediction of Preterm Birth [npj Women's Health]
- [News]
Predicting Pain with Machine Learning [Press Release]
- [Paper]
Incorporating Uncertainty in Predictive Models Using Mobile Sensing and Clinical Data: A Case Study on Persistent Post-surgical Pain
[UbiComp'25]
- [Paper]
Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection [ACL Findings]
- [News]
Inaugural AI for Health Seed Funding Program Awards Nearly $300,000
- [Talk]
Phenotype Chiari Malformation with Artificial Intelligence
(Slides)
[Annual Scientific Update of the Redefining Chiari Malformation project]
- [News]
Foundation AI Model Predicts Postoperative Risks from Clinical Notes [Press Release]
- [Paper]
The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes
[npj Digital Medicine]
- [News]
Machine Learning Could Help Predict Adherence to HIV Treatment in Adolescents [Press Release]
- [Paper]
Using Machine Learning to Predict Poor Adherence to Antiretroviral Therapy Among Adolescents Living with HIV in Low Resource Settings
[AIDS]
- [Podcast]
Bridging AI and Healthcare: An In-depth Conversation with Dr. Chenyang Lu
(Apple Podcasts,
Spotify)
[Gateway to Informatics]
- [Radio]
WashU Institute Studying the Use of AI in Healthcare Fields
[KMOX Radio]
- [News]
Smart Actuation paper won 2024
Best Application Paper Award of
IEEE Transactions on Automation Science and Engineering.
- [Video]
Fireside Chat about AI-driven Phenotyping of Chiari Malformation
[Park-Reeves Chiari & Syringomyelia Center]
- [Podcast]
Engineering AI for Health with Chenyang Lu
(YouTube,
Spotify)
[Engineering the Future]
- [Talk]
Advancing Children and Youth Health with Artificial Intelligence
(Flyer)
[Children and Youth Collaborative Network]
- [News]
$5 million NIH Grant to Find Causes of Chronic Pain After Surgery [Press Release]
- [News]
Researchers Define New Subtypes of Common Brain Disorder [Press Release]
- [Paper]
Using Artificial Intelligence to Identify Three Presenting Phenotypes of Chiari Type-1 Malformation and Syringomyelia
[Neurosurgery]
- [Paper]
Performance of Risk Models for Antimicrobial Resistance in Adult Patients With Sepsis
[JAMA Netw Open]
- [News]
AI for Health Seed Funding Program (proposals due on March 1st)
- [News]
AI for Health Institute hosts inaugural symposium on AI for health [10/18/2024]
- [News]
Newsletter of the AI for Health Institute (Fall 2024)
- [Talk]
AI for Health with Wearables
(Slides)
(Video)
[UIUC]
- [News]
What Your Fitness Tracker Says About Your Mental Health [IEEE Transmitter]
- [News]
Artificial Intelligence in Medicine
(WashU video featuring our AI for Health research and students)
- [News]
Machine Learning Tool Accurately Predicts Spine Surgery Outcomes [Health IT Analytics]
- [News]
New Machine Learning Method Can Better Predict Spine Surgery Outcomes [Press Release]
- [News]
How AI Can Boost Cancer, Depression and Perioperative Care [Healthcare IT News]
- [Talk]
AI for Health with Wearables
(Slides)
[CPS-IoT Week Keynote]
- [Paper]
Predicting Multi-dimensional Surgical Outcomes with Multi-modal Mobile Sensing: A Case Study with Patients Undergoing Lumbar Spine Surgery [UbiComp'24]
- [Event]
NEW YORK: AI in Healthcare [WashU Healthcare Network]
- [Talk]
AI for Health with Wearables
(Slides)
(Video)
[University of Cambridge]
- [News]
UVA Computer Science Alum Chenyang Lu Named Director of Washington University's AI for Health Institute [UVA]
- [News]
Inaugural Edition of the Newsletter of the AI for Health Institute (AIHealth)
- [News]
Progressive Neural Compression paper won
Best Student Paper Award at
IEEE Real-Time Systems Symposium (RTSS'23).
- [News]
Bluetooth System an Effective Tool for Health Care Worker COVID-19 Contact Tracing [Healio]
- [News]
AI for Health research featured in the
WashU video on AI and Medicine and the
cover article in the
Momentum magazine.
- [News]
Wearable Tech for Contact Tracing Developed [Press Release]
- [News]
AI for Health Institute Launches to Promote Growing Intersection of Artificial Intelligence, Health [Press Release]
- [News]
AI for Health Institute launched at
the
AI and Digital Health Summit on October 18-19.
[More information]
- [News]
Interdisciplinary Team Wins Award for Paper on Predicting Postoperative Complications with Wearables, Artificial Intelligence [Press Release]
- [Paper]
Progressive Neural Compression for Adaptive Image Offloading under Timing Constraints [RTSS'23] Best Student Paper Award
- [Paper]
Contact Tracing for Healthcare Workers in an Intensive Care Unit [UbiComp'23]
- [News]
AI for Health Institute is now
the AI core
of the
Institute of Clinical and Translational Sciences (ICTS).
- [News]
Artificial Intelligence May Assist Decisions on Which Patients Should Get Critical Life Support [Press Release]
- [Paper]
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation [KDD'23]
- [Talk]
Internet of Medical Things: Precision Medicine with AI and Wearables
[CHASE'23 Keynote]
- [News]
Data from Wearables Could Be a Boon to Mental Health Diagnosis [Press Release]
- [Paper]
Detecting Mental Disorders with Wearables: A Large Cohort Study [IoTDI'23]
Best Paper Award for IoT Data Analytics
- [News]
Outstanding Technical Achievement and Leadership Award
of the IEEE Technical Community on Real-Time Systems
- [Talk]
Real-Time Computing for Cyber-Physical Systems
[TCRTS Technical Achievement and Leadership Award Speech at RTSS'22]
- [News]
Wireless Clinical Monitoring Paper Received SenSys Test 0f Time Award [SenSys Test of Time Award]
- [Talk]
Reliable Clinical Monitoring with Wireless Sensor Networks
[SenSys Test of Time Award Speech]
- [Talk]
Artificial Intelligence and Internet of Medical Things for Healthcare
(Slides)
(Video) [Medicine Grand Rounds]
- [Talk]
Internet of Medical Things: Predicting Clinical Outcomes with Wearables
(Slides)
(Video)
[Brown School Open Classroom]
- [Paper]
Self-explaining Hierarchical Model for Intraoperative Time Series [ICDM'22]
- [Paper]
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks [CIKM'22]
- [News]
Personalized Prediction of Depression Treatment Outcomes with Wearables [Press Release]
- [News]
Machine-Learning Tools Predict Post-Op Complications, Surgery Duration [Health IT Analytics]
- [News]
AI Model Explores EHR Data to Predict Physician Burnout [Health Exec]
- [News]
Deep-Learning Model Predicts Physician Burnout Using EHR Logs [Health IT Analytics]
- [News]
Lu Studies Potential Benefits of AI in Health Care [The Source]
- [News]
Learning Physician Burnout from Electronic Health Record Activities [Press Release]
- [News]
Predicting Surgical Outcomes with Machine Learning [Press Release]
- [Paper]
Multi-Task Learning for Randomized Controlled Trials: A Case Study on Predicting Depression with Wearable Data
[UbiComp'22]
- [Paper]
Predicting Post-Operative Complications with Wearables: A Case Study with Patients Undergoing Pancreatic Surgery
[UbiComp'22] Distinguished Paper Award
- [Talk]
Internet of Medical Things: Predicting Clinical Outcomes with Wearables
(Slides)
(Video)
[MobiSys'22 IoT Day Keynote]
- [Paper]
HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records [KDD'22]
- [Paper]
Perioperative Predictions with Interpretable Latent Representation [KDD'22]
- [News]
Lu Wins Award for Most Influential Paper in Real-Time Systems [RTAS Influential Paper Award]
- [Paper]
RT-TEE: Real-Time System Availability for Cyber-Physical Systems Using ARM TrustZone
[S&P'22]
- [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
- [News]
Washington People: Chenyang Lu (profile of our work on healthcare using wearables and machine learning)
- [News]
Wearable Fitness Trackers Help Physicians Track Patient Health
- [News]
Early Warning System Model Predicts Deterioration of Hospitalized Cancer Patients Based on Clinical Data
- [News]
Named Editor-in-Chief of ACM Transactions on Cyber-Physical Systems
- [Editorial]
Toward a Scientific and Engineering Discipline of Cyber-Physical Systems
[TCPS]
- [News]
Named ACM Fellow
(WU Press)
- [News]
Washington University in St. Louis atop the embedded and real-time systems area in CS Rankings
-
News Archive
Teaching
Research
Publications
Selected Talks
-
AI for Surgery: From Multimodal Data to Clinical Decisions,
Department of Neurosurgery, Virginia Commonwealth University, April 2026.
-
AI for Health: Translating Data into Impact,
Schmidt Distinguished Talk,
William & Mary, April 2026.
-
AI and Poverty: Harnessing Data to Understand Health Risks and Inequities,
Keynote,
Mini-Conference on AI and Poverty, New York University, November 2025.
-
AI Across Medicine: Opportunities for Radiation Oncology,
Grand Rounds,
Department of Radiation Oncology, Washington University School of Medicine,
October 2025.
-
Phenotype Chiari Malformation with Artificial Intelligence
(Slides),
Annual Scientific Update, Redefining Chiari Type I Malformation and Its Impact on Brain Development,
February 2025
-
AI for Health with Wearables
(Slides),
Keynote, Cyber-Physical Systems and Internet-of-Things Week (CPS-IoT Week), May 2024.
-
AI for Health with Wearables
(Slides)
(Video),
Mobile and Wearable Health Seminar Series, University of Cambridge, February 2024.
-
Internet of Medical Things: Precision Medicine with AI and Wearables
Keynote, IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE'23), June 2023.
-
AI for Neurosurgery,
Henry G. Schwartz Grand Rounds,
Department of Neurosurgery, Washington University School of Medicine,
May 2023.
- Real-Time Computing for Cyber-Physical Systems,
TCRTS Technical Achievement and Leadership Award Speech, IEEE Real-Time Systems Symposium (RTSS'22), December 2022.
- Reliable Clinical Monitoring with Wireless Sensor Networks,
Test of Time Award Speech, ACM Conference on Embedded Networked Sensor Systems (SenSys'22), November 2022.
-
Internet of Medical Things: Predicting Clinical Outcomes with Wearables
(Slides)
(Video), Brown School Open Classroom, Washington University, October 2022.
- Artificial Intelligence and Internet of Medical Things for Healthcare
(Slides)
(Video), Medicine Grand Rounds, Washington University School of Medicine, September 2022.
- Internet of Medical Things: Predicting Clinical Outcomes with Wearables
(Slides)
(Video),
Keynote, IoT Day, ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'22), June 2022.
-
Interdisciplinary Research: Advice and Opportunities,
Guest Lecture at UIUC, 2020.
-
Internet of Medical Things: Predicting Clinical Outcomes and Digital Phenotyping with Wearables and Machine Learning,
Washington University School of Medicine, 2019.
- Predicting Clinical Outcomes with Wearables: Machine Learning from Small Data,
mHealth Research Core, 2019.
- Machine Learning for Healthcare: From Wearables to Electronic Health Record,
AI in Health, Washington University, 2019.
- Dependable Industrial Internet of Things
(Slides,
Photos),
Keynote, Cyber-Physical Systems Week (CPS Week), April 2018.
- Real-Time Internet of Things,
Keynote, IEEE International Symposium on Real-Time Computing (ISORC'17), May 2017.
- Towards Real-Time Cloud Computing
(Slides),
Uppsala University, February 2017.
- Wireless Control: Opportunities and Challenges,
Plenary Panel, ACM Embedded Systems Week (ESWeek), October 2016.
- Dependable Wireless Control through Cyber-Physical Co-Design,
Keynote, International Conference on Embedded Wireless Systems and Networks (EWSN), February 2016.
- Golden Age of Internet of Things
(Video),
Installation as Fullgraf Professor, February 2015.
- Perspective on the Future of Embedded Systems and ESWeek,
Panel on ESWeek at Crossroads: New Applications, New Challenges, and the Road Ahead Toward Designing New "Things",
ACM Embedded Systems Week (ESWeek), October 2014.
- Challenges in Wireless Control Networks for Cyber-Physical Systems,
Panel on Networking Challenges for Cyber-Physical Systems, INFOCOM, May 2014.
- Real-Time Wireless Control Networks for Cyber-Physical Systems,
Keynote, International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS'14), January 2014.
- Wireless Clinical Monitoring at Scale,
Distinguished Lecture, DGIST Global Innovation Festival (DGIF), November 2013.
- Smart Buildings with Wireless Sensor Networks,
I-CARES/PARC Events and Topics in Renewable Energy and the Environment, Washington University, November 2013.
- Real-Time Wireless Control Networks for Cyber-Physical Systems,
Keynote, IEEE International Symposium on Industrial Embedded Systems (SIES'13), June 2013.
- Towards Real-Time Clouds for Cyber-Physical Systems,
NSF Workshop on Cloud Computing for Cyber-Physical Systems, March 2013.
- Real-Time Wireless Control Networks: Challenges and Directions,
NITRD National Workshop on the New Clockwork for Time-Critical Systems, October 2012.
- Cyber-Physical Co-Design for Wireless Structural Health Monitoring,
Distinguished Lecture, University of Louisville, November 2011.
- My (biased) Perspective on CPS,
Euromicro Conference on Real-Time Systems (ECRTS'11), July 2011.
-
Reliable Clinical Monitoring using Wireless Sensor Networks: Experience in a Step-down Hospital Unit,
ACM Conference on Embedded Networked Sensor Systems (SenSys'10), November 2010.
- Real-Time Wireless Sensor Networks,
Royal Institute of Technology (KTH), Stockholm, Sweden, April 2010.
Open-Source
Software
PhD Students
Current
Graduated
- Ruiqi Wang (PhD 2026): Google.
- Hanyang Liu (PhD 2025): Snap.
- Jingwen Zhang (PhD 2024): Meta.
- Rahav Dor (PhD 2023)
- Bing Xue (PhD 2023): Meta.
- Ruixuan Dai (PhD 2022): Google.
- Dingwen Li (PhD 2021): TikTok.
- Haoran Li (PhD 2021): Amazon.
- Yehan Ma (PhD 2020): Associate Professor, Shanghai Jiao Tong University.
- Chong Li (PhD 2020): Ant Group.
- Chao Wang (PhD 2019, with Chris Gill): Associate Professor, National Taiwan Normal University.
- Dolvara Gunatilaka (PhD 2019): Assistant Professor, Mahidol University.
- Jing Li (PhD 2017, with Kunal Agrawal): Associate Professor, New Jersey Institute of Technology. NSF CAREER Awardee
- Bo Li (PhD 2015)
- Chengjie Wu (PhD 2014)
- Sisu Xi (PhD 2014, with Chris Gill): Anysphere.
- Mo Sha (PhD 2014): Associate Professor, Florida International University. NSF CAREER Awardee
- Abusayeed Saifullah (PhD 2014): Associate Professor, University of Texas at Dallas. NSF CAREER Awardee
- Yong Fu (PhD 2013): Unity.
- Greg Hackmann (PhD, 2011): Apple.
- Octav Chipara (PhD 2010, with Gruia-Catalin Roman) Professor, University of Iowa. NSF CAREER Awardee
- Chien-Liang Fok (PhD 2009, with Gruia-Catalin Roman): Woven by Toyota.
- Sangeeta Bhattacharya (PhD 2008, with Gruia-Catalin Roman): Intel Research (India).
- Yuanfang Zhang (PhD 2008, with Chris Gill): Microsoft Research (Redmond).
- Xiaorui Wang (PhD 2006): Professor, Ohio State University. NSF CAREER Awardee, IEEE Fellow
- Guoliang Xing (PhD 2006): Professor, Chinese University of Hong Kong. NSF CAREER Awardee, ACM/IEEE Fellow
- Qingfeng Huang (PhD 2003, with Gruia-Catalin Roman)
Awards
- Outstanding Technical Achievement and Leadership Award, IEEE Technical Community on Real-Time Systems, 2022.
- ACM Fellow, 2020.
- IEEE Fellow, 2016.
- Test of Time Award, ACM Conference on Embedded Networked Sensor Systems, 2022.
[Paper]
- Influential Paper Award, IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2021.
[Paper]
- Best Application Paper Award, IEEE Transactions on Automation Science and Engineering, 2024.
[Paper]
- Best Student Paper Award, IEEE Real-Time Systems Symposium (RTSS), 2023.
[Paper]
- Best Paper Award for IoT Data Analytics, ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI), 2023.
[Paper]
- Distinguished Paper Award, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (PACM IMWUT), 2022.
[Paper]
- Outstanding Paper Award, International Conference on Real-Time Networks and Systems (RTNS), 2021.
- ACM Distinguished Speaker, 2017-2020.
- Best Paper Award, IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2019.
- Outstanding Paper Award, IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2016.
- Distinguished Paper Award, American Medical Informatics Association Annual Symposium (AMIA), 2015.
- Best Paper Award, IEEE Real-Time Systems Symposium (RTSS), 2014.
- Outstanding Paper Award, Euromicro Conference on Real-Time Systems (ECRTS), 2013.
- Best Student Paper Award, IEEE Real-Time Systems Symposium (RTSS), 2011.
- Best Paper Award, International Conference on Distributed Computing in Sensor Systems (DCOSS), 2006.
- NSF CAREER Award, 2005.
- Outstanding Graduate Student Research Award, Department of Computer Science, University of Virginia, 2000.
Professional Services
Editorships
- Editor-in-Chief, ACM Transactions on Cyber-Physical Systems, 2021 - present.
- Editor-in-Chief, ACM Transactions on Sensor Networks, 2011 - 2017.
- Area Editor, IEEE Internet of Things Journal, 2013 - 2018.
- Associate Editor, Real-Time Systems, 2010 - 2018.
- Guest Editor, IEEE Journal of Biomedical and Health Informatics,
Special Issue on Emerging Wireless Body Area Networks (WBANs) for Ubiquitous Healthcare, 2013.
- Guest Editor, IEEE Transactions on Industrial Informatics,
Special Section on Cyber-Physical Systems and Cooperating Objects, 2012.
- Guest Editor, Real-Time Systems, Special Issue on Real-Time Wireless Sensor Networks, 2007.
Selected Conference Organization
- General Chair, IEEE International Conference on Embedded and Real-Time Computing Systems (RTCSA), 2022.
- Program Chair, IEEE International Conference on Sensing, Communication and Networking (SECON), 2021.
- Test of Time Award Committee Chair, ACM Conference on Embedded Networked Sensor Systems (SenSys), 2019.
- General Chair, IEEE International Conference on Industrial Internet (ICII), 2018.
- IoT Chair, ACM Embedded Systems Week, 2018.
- General Chair, ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI), 2018.
- Program Chair, ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI), 2017.
- Program Chair, International Conference on Embedded Wireless Systems and Networks (EWSN), 2017.
- Organizer, SC2: US-India Smart and Connected Communities Workshop, 2016.
- Program Chair, IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2016.
- Program Chair, ACM Conference on Embedded Networked Sensor Systems (SenSys), 2014.
- General Chair, IEEE Real-Time Systems Symposium (RTSS), 2013.
- General Chair, ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2013.
- Program Chair, IEEE Real-Time Systems Symposium (RTSS), 2012.
- Program Chair, ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2012.
- Program Chair, International Conference on Body Area Networks (BodyNets), 2011.
- Program Chair, International Conference on Principles of Distributed Systems (OPODIS), 2010.
- General Chair, IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2009.
- Program Chair, IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2008.
Committees
- Member, AI Advisory Board, School of Law, Washington University in St. Louis, 2025 – present.
- Chair, IEEE Technical Committee on Real-Time Systems (TCRTS), 2018 - 2019.
- Vice Chair, IEEE Technical Committee on Real-Time Systems (TCRTS), 2016 - 2017.
- Executive Committee Member, IEEE Technical Committee on Real-Time Systems, 2009 - 2010, 2013 - 2021.
- Steering Committee Member, ACM Conference on Embedded Networked Sensor Systems (SenSys), 2014 - 2017, 2023 - present.
- Steering Committee Member, IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2023 - present.
- Steering Committee Member, International Conference on Body Area Networks (BodyNets), 2011 - 2012.
- Steering Committee Member, NSF Bridge Condition Monitoring and Prognostication Workshop, 2008.
- Steering Committee Member, International Workshop on Feedback Computing, 2008 - 2017.
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