Autonomous Trauma Care Extends ‘Golden Hour’ for Saving Lives
Oral Presentation at European Society of Intensive Care Medicine(Wertz et al., 2019)
Star Research Award and Oral Presentation at Annual Congress of the Society of Critical Care Medicine(Wertz et al., 2018)
First Place at Future Energy Challenge (2009)
Presentations and Invited Talks
SEMI Workshop: Enabling the Future of Electronics (2024)
Trajectory Optimization for Thermally-Actuated Soft Planar Robot Limbs (2022)
Development and Evaluation of Data- Driven Models using High Frequency Time Series (T-32 training, 2018)
Learning Multi-granular Models of Physiology for Detection of Bleeding (CRISMA research review, 2017)
Teaching and Mentorship Activities
Exchange Student Mentor (Fall 2023 - Spring 2024) Advised an undergraduate exchange student and undergraduate researcher.
Kinematics, Dynamics, and Controls (Spring 2023) Teaching assistant in CMU course 16-711.
Advanced Robot Dynamics and Simulation (Fall 2022) Teaching assistant in CMU course 16-715.
Engineering Materials for Soft Robotics (Octoboer 2022) Instructor for a hands-on middle school workshop on enginerring materials with an emphasis on soft robotic applications.
Robotics Institute Summer Scholars (RISS) Mentor (Summer 2019, 2020) Advised three students in 2019 and one in 2020.
AI4ALL Instructor (Summer 2018) Lectured on search algorithms and neural networks for high school students from under-represented groups.
3rd and 4th Grade Math Teacher (2013-2014) Peace Corps education volunteer in Toussiana, Burkina Faso.
High School Computer Science Tutor (2010-2011)
Journal Articles
Zadan, M., Wertz, A., Shah, D., Patel, D. K., Zu, W., Han, Y., Gelorme, J., Mea, H. J., Yao, L., Malakooti, M. H., Ko, S. H., Kazem, N., & Majidi, C. (2024). Stretchable Thermoelectric Generators for Self-Powered Wearable Health Monitoring. Advanced Functional Materials. https://doi.org/https://doi.org/10.1002/adfm.202404861
@article{zadan2024tegsense,title={Stretchable Thermoelectric Generators for Self-Powered Wearable Health Monitoring},author={Zadan, Mason and Wertz, Anthony and Shah, Dylan and Patel, Dinesh K. and Zu, Wuzhou and Han, Youngshang and Gelorme, Jeff and Mea, Hing Jii and Yao, Lining and Malakooti, Mohammad H. and Ko, Seung Hwan and Kazem, Navid and Majidi, Carmel},year={2024},month=jul,journal={Advanced functional materials},publisher={Wiley Online Library},doi={https://doi.org/10.1002/adfm.202404861}}
Sabelhaus, A. P., Patterson, Z. J., Wertz, A. T., & Majidi, C. (2024). Safe Supervisory Control of Soft Robot Actuators. Soft Robotics. https://doi.org/https://doi.org/10.1089/soro.2022.0131
@article{sabelhaus2024safe,title={Safe Supervisory Control of Soft Robot Actuators},author={Sabelhaus, Andrew P and Patterson, Zach J and Wertz, Anthony T and Majidi, Carmel},journal={Soft Robotics},year={2024},month=feb,publisher={Mary Ann Liebert, Inc., publishers 140 Huguenot Street, 3rd Floor New~…},doi={https://doi.org/10.1089/soro.2022.0131}}
Pinsky, M. R., Gomez, H., Wertz, A., Leonard, J., Dubrawski, A., & Poropatich, R. (2024). Evaluation of a Physiologic-Driven Closed-Loop Resuscitation Algorithm in an Animal Model of Hemorrhagic Shock. Critical Care Medicine, 52(12), 1947–1957. https://doi.org/https://doi.org/10.1097/CCM.0000000000006297
@article{pinsky2024evaluation,title={Evaluation of a Physiologic-Driven Closed-Loop Resuscitation Algorithm in an Animal Model of Hemorrhagic Shock},author={Pinsky, Michael R and Gomez, Hernando and Wertz, Anthony and Leonard, Jim and Dubrawski, Artur and Poropatich, Ronald},journal={Critical Care Medicine},volume={52},number={12},pages={1947--1957},year={2024},publisher={LWW},doi={https://doi.org/10.1097/CCM.0000000000006297}}
Zadan, M., Patel, D. K., Sabelhaus, A. P., Liao, J., Wertz, A., Yao, L., & Majidi, C. (2022). Liquid Crystal Elastomer with Integrated Soft Thermoelectrics for Shape Memory Actuation and Energy Harvesting. Advanced Materials, 2200857. https://doi.org/10.1002/adma.202200857
@article{zadan2022liquid,title={Liquid Crystal Elastomer with Integrated Soft Thermoelectrics for Shape Memory Actuation and Energy Harvesting},author={Zadan, Mason and Patel, Dinesh K and Sabelhaus, Andrew P and Liao, Jiahe and Wertz, Anthony and Yao, Lining and Majidi, Carmel},journal={Advanced Materials},pages={2200857},year={2022},publisher={Wiley Online Library},doi={10.1002/adma.202200857}}
Sabelhaus, A. P., Mehta, R. K., Wertz, A. T., & Majidi, C. (2022). In-Situ Sensing and Dynamics Predictions for Electrothermally-Actuated Soft Robot Limbs. Frontiers in Robotics and AI, 9, 888261. https://doi.org/10.3389/frobt.2022.888261
@article{sabelhaus2022situ,title={In-Situ Sensing and Dynamics Predictions for Electrothermally-Actuated Soft Robot Limbs},author={Sabelhaus, Andrew P and Mehta, Rohan K and Wertz, Anthony T and Majidi, Carmel},journal={Frontiers in Robotics and AI},volume={9},pages={888261},year={2022},publisher={Frontiers},doi={10.3389/frobt.2022.888261}}
Laird, P., Wertz, A., Welter, G., Maslove, D., Hamilton, A., Yoon, J. H., Lake, D. E., Zimmet, A. E., Bobko, R., Moorman, J. R., & others. (2021). The critical care data exchange format: a proposed flexible data standard for combining clinical and high-frequency physiologic data in critical care. Physiological Measurement. https://doi.org/10.1088/1361-6579/abfc9b
@article{laird2021critical,title={The critical care data exchange format: a proposed flexible data standard for combining clinical and high-frequency physiologic data in critical care},author={Laird, Philip and Wertz, Anthony and Welter, Gus and Maslove, David and Hamilton, Alexander and Yoon, Joo Heung and Lake, Douglas E and Zimmet, Amanda E and Bobko, Ryan and Moorman, J Randall and others},journal={Physiological Measurement},year={2021},publisher={IOP Publishing},doi={10.1088/1361-6579/abfc9b}}
Pinsky, M. R., Wertz, A., Clermont, G., & Dubrawski, A. (2020). Parsimony of hemodynamic monitoring data sufficient for the detection of hemorrhage. Anesthesia & Analgesia, 130(5), 1176–1187. https://doi.org/10.1213/ANE.0000000000004564
@article{pinsky2020parsimony,title={Parsimony of hemodynamic monitoring data sufficient for the detection of hemorrhage},author={Pinsky, Michael R and Wertz, Anthony and Clermont, Gilles and Dubrawski, Artur},journal={Anesthesia \& Analgesia},volume={130},number={5},pages={1176--1187},year={2020},publisher={LWW},doi={10.1213/ANE.0000000000004564}}
Wertz, A., Holder, A. L., Guillame-Bert, M., Clermont, G., Dubrawski, A., & Pinsky, M. R. (2019). Increasing Cardiovascular Data Sampling Frequency and Referencing It to Baseline Improve Hemorrhage Detection. Critical Care Explorations, 1(10). https://doi.org/10.1097/CCE.0000000000000058
@article{wertz2019increasing,title={Increasing Cardiovascular Data Sampling Frequency and Referencing It to Baseline Improve Hemorrhage Detection},author={Wertz, Anthony and Holder, Andre L and Guillame-Bert, Mathieu and Clermont, Gilles and Dubrawski, Artur and Pinsky, Michael R},journal={Critical Care Explorations},volume={1},number={10},year={2019},month=oct,publisher={Wolters Kluwer Health},doi={10.1097/CCE.0000000000000058}}
Hravnak, M., Pellathy, T., Chen, L., Dubrawski, A., Wertz, A., Clermont, G., & Pinsky, M. R. (2018). A call to alarms: Current state and future directions in the battle against alarm fatigue. Journal of Electrocardiology, 51(6), S44–S48. https://doi.org/10.1016/j.jelectrocard.2018.07.024
@article{hravnak2018call,title={A call to alarms: Current state and future directions in the battle against alarm fatigue},author={Hravnak, Marilyn and Pellathy, Tiffany and Chen, Lujie and Dubrawski, Artur and Wertz, Anthony and Clermont, Gilles and Pinsky, Michael R},journal={Journal of electrocardiology},volume={51},number={6},pages={S44--S48},year={2018},publisher={Churchill Livingstone},doi={10.1016/j.jelectrocard.2018.07.024}}
Conference Articles
Wertz, A., Sabelhaus, A. P., & Majidi, C. (2022). Trajectory Optimization for Thermally-Actuated Soft Planar Robot Limbs. 2022 IEEE 5th International Conference on Soft Robotics (RoboSoft), 439–446. https://doi.org/10.1109/RoboSoft54090.2022.9762226
@inproceedings{wertz2022trajectory,title={Trajectory Optimization for Thermally-Actuated Soft Planar Robot Limbs},author={Wertz, Anthony and Sabelhaus, Andrew P and Majidi, Carmel},booktitle={2022 IEEE 5th International Conference on Soft Robotics (RoboSoft)},pages={439--446},year={2022},organization={IEEE},preprint={https://arxiv.org/abs/2110.09474},doi={10.1109/RoboSoft54090.2022.9762226},slides={/assets/presentations/2022_Wertz_RoboSoft.pdf}}
Potosnak, W., Dufendach, K. A., Wertz, A., Miller, K., Dubrawski, A., & Kilic, A. (2021). Continuous Intraoperative Data Analysis Using Machine Learning Reveals Multiple Parameters to Predict Post-CABG Renal Failure. The Society of Thoracic Surgeons Annual Meeting. https://par.nsf.gov/biblio/10339368
@inproceedings{potosnak2021continuous,title={Continuous Intraoperative Data Analysis Using Machine Learning Reveals Multiple Parameters to Predict Post-CABG Renal Failure},author={Potosnak, Willa and Dufendach, Keith A. and Wertz, Anthony and Miller, Kyle and Dubrawski, Artur and Kilic, Arman},booktitle={The Society of Thoracic Surgeons Annual Meeting},year={2021},url={https://par.nsf.gov/biblio/10339368},slides={/assets/projects/riss/2021-STS-poster-POTOSNAK-Willa.pdf}}
Jeanselme, V., Wertz, A., Clermont, G., Pinsky, M. R., & Dubrawski, A. (2020). Robustness of Machine Learning Models for Hemorrhage Detection. What’s New in Non-Pulmonary Critical Care?, A6320–A6320. https://doi.org/10.1164/ajrccm-conference.2020.201.1_MeetingAbstracts.A6320
@inproceedings{jeanselme2020robustness,title={Robustness of Machine Learning Models for Hemorrhage Detection},author={Jeanselme, V and Wertz, A and Clermont, G and Pinsky, MR and Dubrawski, A},booktitle={What's New in Non-Pulmonary Critical Care?},pages={A6320--A6320},year={2020},publisher={American Thoracic Society},doi={10.1164/ajrccm-conference.2020.201.1_MeetingAbstracts.A6320}}
Jeanselme, V., Wertz, A., Clermont, G., Pinsky, M. R., & Dubrawski, A. (2020). Cross-correlation Features of Vital Signs Enable Robust Detection of Hemorrhage.
@inproceedings{jeanselme2020crosscorr,title={Cross-correlation Features of Vital Signs Enable Robust Detection of Hemorrhage},author={Jeanselme, V and Wertz, A and Clermont, G and Pinsky, MR and Dubrawski, A},year={2020},publisher={ISICEM}}
Wertz, A., Clermont, G., Dubrawski, A., & Pinsky, M. (2019). Hemodynamic monitoring parsimony: minimal information for rapid hemorrhage detection. ESICM LIVES 2019, 7, 91–92. https://doi.org/10.1186/s40635-019-0265-y
@inproceedings{wertz2019esicm,author={Wertz, Anthony and Clermont, Gilles and Dubrawski, Artur and Pinsky, Michael},title={Hemodynamic monitoring parsimony: minimal information for rapid hemorrhage detection},booktitle={ESICM LIVES 2019},year={2019},volume={7},pages={91--92},month=sep,journal={Intensive Care Medicine Experimental},doi={10.1186/s40635-019-0265-y},slides={/assets/presentations/2019_Wertz_ESICM_Parsimony.pdf}}
Chen, L., Dubrawski, A., Clermont, G., Pellathy, T., Wertz, A., Yoon, J. H., Pinsky, M., & Hravnak, M. (2019). Binarized Severity Level Of Future Instability Risk In Continuously Monitored Patients. Critical Care Medicine, 47(1), 605. https://doi.org/10.1097/01.ccm.0000552001.54183.00
@inproceedings{chen2019binarizedSeverity,title={Binarized Severity Level Of Future Instability Risk In Continuously Monitored Patients},author={Chen, Lujie and Dubrawski, Artur and Clermont, Gilles and Pellathy, Tiffany and Wertz, Anthony and Yoon, Joo Heung and Pinsky, Michael and Hravnak, Marilyn},journal={Critical Care Medicine},volume={47},number={1},pages={605},month=jan,year={2019},publisher={LWW},doi={10.1097/01.ccm.0000552001.54183.00}}
Chen, L., Dubrawski, A., Clermont, G., Pellathy, T., Wertz, A., Pinsky, M. R., & Hravnak, M. (2018). Model based estimation of instability severity level in continuously monitored patients. ESICM LIVES 2018, 6, 59–60. https://doi.org/10.1186/s40635-018-0201-6
@inproceedings{karen2018esicm,author={Chen, Lujie and Dubrawski, Artur and Clermont, Gilles and Pellathy, Tiffany and Wertz, Anthony and Pinsky, Michael R. and Hravnak, Marilyn},title={Model based estimation of instability severity level in continuously monitored patients},booktitle={ESICM LIVES 2018},year={2018},volume={6},pages={59--60},month=oct,journal={Intensive Care Medicine Experimental},doi={10.1186/s40635-018-0201-6}}
Wertz, A., Hravnak, M., Dubrawski, A., Chen, L., Pellathy, T., Clermont, G., & Pinsky, M. (2018). Sufficient Sampling Frequency For Machine Learning To Separate Monitoring Artifact From Instability. Critical Care Medicine, 46(1), 19. https://doi.org/10.1097/01.ccm.0000528093.59059.9e
@inproceedings{wertz2018sufficientSampling,title={Sufficient Sampling Frequency For Machine Learning To Separate Monitoring Artifact From Instability},author={Wertz, Anthony and Hravnak, Marilyn and Dubrawski, Artur and Chen, Lujie and Pellathy, Tiffany and Clermont, Gilles and Pinsky, Michael},journal={Critical Care Medicine},volume={46},number={1},pages={19},year={2018},publisher={LWW},doi={10.1097/01.ccm.0000528093.59059.9e},slides={/assets/presentations/2018_Wertz_SCCM_Sample_Frequency.pdf}}
Genome Announcements
Pope, W. H., Berryman, E. N., Forrest, K. M., McHale, L., Wertz, A. T., Zhuang, Z., Kasturiarachi, N. S., Pressimone, C. A., Schiebel, J. G., Furbee, E. C., Grubb, S. R., Warner, M. H., Montgomery, M. T., Garlena, R. A., Russell, D. A., Jacobs-Sera, D., & Hatfull, G. F. (2016). Genome Sequence of Gordonia Phage BetterKatz. In Microbiology Resource Announcements (Vol. 4, Number 4). American Society for Microbiology Journals. https://doi.org/10.1128/genomeA.00590-16
@genome{Popee2016BetterKatz,author={Pope, Welkin H. and Berryman, Emily N. and Forrest, Kaitlyn M. and McHale, Lilliana and Wertz, Anthony T. and Zhuang, Zenas and Kasturiarachi, Naomi S. and Pressimone, Catherine A. and Schiebel, Johnathon G. and Furbee, Emily C. and Grubb, Sarah R. and Warner, Marcie H. and Montgomery, Matthew T. and Garlena, Rebecca A. and Russell, Daniel A. and Jacobs-Sera, Deborah and Hatfull, Graham F.},title={Genome Sequence of Gordonia Phage BetterKatz},volume={4},number={4},elocation-id={e00590-16},year={2016},doi={10.1128/genomeA.00590-16},publisher={American Society for Microbiology Journals},url={https://mra.asm.org/content/4/4/e00590-16},eprint={https://mra.asm.org/content/4/4/e00590-16.full.pdf},journal={Microbiology Resource Announcements}}
Robotics Institute Summer Scholars
Potosnak, W., Wertz, A., Miller, J. K., Kilic, A., Dufendach, K. A., & Dubrawski, A. (2020). Cardiothoracic Surgery Analysis for Predicting Acute Renal Failure Outcomes. In CMU Robotics Institute Summer Scholars. https://riss.ri.cmu.edu/research_showcase/working-papers-journals/
@riss{potosnak2020cabg,title={Cardiothoracic Surgery Analysis for Predicting Acute Renal Failure Outcomes},author={Potosnak, Willa and Wertz, Anthony and Miller, James K and Kilic, Arman and Dufendach, Keith A and Dubrawski, Artur},journal={CMU Robotics Institute Summer Scholars},year={2020},preprint={/assets/projects/riss/2020-Willa Potosnak.pdf},url={https://riss.ri.cmu.edu/research_showcase/working-papers-journals/},slides={/assets/projects/riss/2020-RISS-poster-video-CardiothoracicSurgeryAnalysisforPredictingAcuteRenalFailureOutcomes-POTOSNAK-Willa-DUBRAWSKI.jpg}}
Edwards, C., Wertz, A., & Dubrawski, A. (2019). Using Similarity Measures to Detect Organizations in Online Escort Advertisements. In CMU Robotics Institute Summer Scholars. https://riss.ri.cmu.edu/research_showcase/working-papers-journals/
@riss{edwards2019detecting,title={Using Similarity Measures to Detect Organizations in Online Escort Advertisements},author={Edwards, Carl and Wertz, Anthony and Dubrawski, Artur},journal={CMU Robotics Institute Summer Scholars},year={2019},preprint={/assets/projects/riss/2019-Carl Edwards.pdf},url={https://riss.ri.cmu.edu/research_showcase/working-papers-journals/},slides={/assets/projects/riss/2019-RISS-poster-EDWARDS-Carl-DUBRAWSKI.pdf}}
Gao, C., Falck, F., Goswami, M., Wertz, A., Pinsky, M. R., & Dubrawski, A. (2019). Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning. In arXiv preprint arXiv:1911.05121. https://arxiv.org/abs/1911.05121
@riss{gao2019detecting,title={Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning},author={Gao, Chufan and Falck, Fabian and Goswami, Mononito and Wertz, Anthony and Pinsky, Michael R and Dubrawski, Artur},journal={arXiv preprint arXiv:1911.05121},year={2019},url={https://arxiv.org/abs/1911.05121},slides={/assets/projects/riss/2019-RISS-poster-GAO-Chufan-DUBRAWSKI.pdf}}