Publications

 

Anderson, Allison P., Torin K. Clark, and Zhaodan Kong. “Adaptive Autonomy for Future Spacecraft Habitats.” In International Conference on Social Robotics: Human Robot Interaction for Space Robotics Workshop. Golden, 2020. https://drive.google.com/file/d/1asJPk7r73hya8PVN0nwB7IBFIxyuk5ij/view.

Bales, Gregory, and Zhaodan Kong. “Neurophysiological and Behavioral Differences in Human- Multiagent Tasks: An EEG Network Perspective.” ACM Transactions on Human-Robot Interaction 11, no. 4 (December 31, 2022): 1–25. https://doi.org/10.1145/3527928.

Barkouki, Tammer, Ziquan Deng, John Karasinski, Zhaodan Kong, and Stephen Robinson. “XAI Design Goals and Evaluation Metrics for Space Exploration: A Survey of Human Spaceflight Domain Experts.” In AIAA SCITECH 2023 Forum, 1828, 2023.

Boecking, Benedikt, Vincent Jeanselme, and Artur Dubrawski. “Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation.” Advances in Data Analysis and Classification, June 22, 2022. https://doi.org/10.1007/s11634-022-00507-5.

Boecking, Benedikt, Willie Neiswanger, Eric Xing, and Artur Dubrawski. “Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling.” In International Conference on Learning Representations, Vol. 9, 2020. https://doi.org/10.48550/ARXIV.2012.06046.

Boyd, Nathan. “Task and Motion Planning With Behavior Trees for Locomotion and Manipulation.” Doctoral Dissertation, Georgia Institute of Technology, 2022. https://www.researchgate.net/profile/Ye-Zhao- 8/publication/365657795_TASK_AND_MOTION_PLANNING_WITH_BEHAVIOR_TREES_ FOR_LOCOMOTION_AND_MANIPULATION/links/637d748554eb5f547cf6eaca/TASK- AND-MOTION-PLANNING-WITH-BEHAVIOR-TREES-FOR-LOCOMOTION-AND- MANIPULATION.pdf.

Buchner, Savannah L. “Multimodal Feature Selection to Unobtrusively Model Trust,Workload, and Situation Awareness.” Masters Thesis, University of Colorado at Boulder MS Thesis, 2022. https://scholar.colorado.edu/concern/graduate_thesis_or_dissertations/xs55md57f.

Chen, Gang, Xinfan Lin, and Zhaodan Kong. “Data-Driven Real-Valued Timed-Failure-Propagation- Graph Refinement for Complex System Fault Diagnosis.” IEEE Control Systems Letters 5, no. 3 (July 2021): 1049–54. https://doi.org/10.1109/LCSYS.2020.3009932.

Dekarske, Jason, and Sanjay S. Joshi. “Human Trust of Autonomous Agent Varies With Strategy and Capability in Collaborative Grid Search Task.” In 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS), 1–6. Magdeburg, Germany: IEEE, 2021. https://doi.org/10.1109/ICHMS53169.2021.9582622.

Deng, Ziquan, Samuel P. Eshima, James Nabity, and Zhaodan Kong. “Causal Signal Temporal Logic for the Environmental Control and Life Support System’s Fault Analysis and Explanation.” IEEE Access 11 (2023): 26471–82. https://doi.org/10.1109/ACCESS.2023.3246512.

Deng, Ziquan, and Zhaodan Kong. “Interpretable Fault Diagnosis for Cyberphysical Systems: A Learning Perspective.” Computer 54, no. 9 (September 2021): 30–38. https://doi.org/10.1109/MC.2021.3078694.

Eshima, Samuel, James Nabity, Ayush Mohany, Heraldo Rozas, and Nagi Gebraeel. “A Diagnostics Model for Detecting Leak Severity in a Regenerable CO2 Removal System.” In International Conference on Environmental Systems, Vol. 51, 2022. https://ttu-ir.tdl.org/handle/2346/89813.

Eshima, Samuel, James Nabity, Monica Torralba, Daniela Ivey, and Stephen Robinson. “Generating Anomalous Regenerable CO2 Removal System Data for Environmental Control and Life Support System Self-Awareness.” In International Conference on Environmental Systems, 2022. https://ttu-ir.tdl.org/handle/2346/89798.

Eshima, Samuel, and James Nabity. “Design of Sensory Information Network for Environmental Control and Life Support System Self-Awareness.” In 71st International Astronautical Congress (IAC). International Astronautical Federation (IAF), 2020.

Eshima, Samuel, and James Nabity. “Failure Mode and Effects Analysis for Environmental Control and Life Support System Self-Awareness.” In International Conference on Environmental Systems, 2020. https://ttu-ir.tdl.org/handle/2346/86311.

Eshima, Samuel P., James Nabity, and Reiji Moroshima. “Analysis of Fault Propagation of Environmental Control and Life Support System for Self-Awareness.” In ASCEND 2020. Virtual Event: American Institute of Aeronautics and Astronautics, 2020. https://doi.org/10.2514/6.2020-4012.

Fogelquist, Jackson, Qingzhi Lai, and Xinfan Lin. “On the Error of Li-Ion Battery Parameter Estimation Subject to System Uncertainties.” Journal of The Electrochemical Society 170, no. 3 (March 1, 2023): 030510. https://doi.org/10.1149/1945-7111/acbc9c.

Fogelquist, Jackson, and Xinfan Lin. “Uncertainty-Aware Data Selection Framework for Parameter Estimation with Application to Li-Ion Battery.” In 2022 American Control Conference (ACC), 384–91. Atlanta, GA, USA: IEEE, 2022. https://doi.org/10.23919/ACC53348.2022.9867243.

Gisolfi, Nicholas. “Model-Centric Verification of Artificial Intelligence.” PhD Dissertation, Carnegie Mellon University, 2022. https://www.ri.cmu.edu/app/uploads/2022/01/CMU-RI-TR-22-02.pdf. Good, Jack H., Kyle Miller, and Artur Dubrawski. “Kernel Density Decision Trees.” In AAAI Spring Symposium on AI Engineering. Association for the Advancement of Artificial Intelligence, 2022. https://resources.sei.cmu.edu/library/asset-view.cfm?assetid=883959.

Goswami, Mononito, Benedikt Boecking, and Artur Dubrawski. “Weak Supervision for Affordable Modeling of Electrocardiogram Data.” In American Medical Informatics Association, 10, 2022. https://doi.org/10.48550/ARXIV.2201.02936.

Gratius, Nicolas, Yu Hou, Mario Bergés, and Burcu Akinci. “Lessons Learned on the Implementation of Probabilistic Graphical Model-Based Digital Twins: A Space Habitat Study.” Journal of Space Safety Engineering, April 14, 2023. https://doi.org/10.1016/j.jsse.2023.04.001.

Guo, Yanjie, Zhaoyi Xu, and Joseph Saleh. “Collaborative Allocation and Optimization of Path Planning for Static and Mobile Sensors in Hybrid Sensor Networks for Environment Monitoring and Anomaly Search.” Sensors 21, no. 23 (November 26, 2021): 7867. https://doi.org/10.3390/s21237867.

Guo, Yanjie, Zhaoyi Xu, and Joseph H. Saleh. “Active Sensing for Space Habitat Environmental Monitoring and Anomaly Detection.” In 2021 IEEE Aerospace Conference (50100), 1–12. Big Sky, MT, USA: IEEE, 2021. https://doi.org/10.1109/AERO50100.2021.9438412.

Guo, Yanjie, Zhaoyi Xu, and Joseph Homer Saleh. “Active Environmental Monitoring and Anomaly Search System for Space Habitat With Markov Decision Process and Active Sensing.” IEEE Access 9 (2021): 49683–96. https://doi.org/10.1109/ACCESS.2021.3068950.

Huang, Rui, Jackson Fogelquist, and Xinfan Lin. “Input Excitation Optimization for Estimating Battery Electrochemical Parameters Using Reinforcement Learning.” In 2022 IEEE Vehicle Power and Propulsion Conference (VPPC), 1–6. Merced, CA, USA: IEEE, 2022. https://doi.org/10.1109/VPPC55846.2022.10003427.

Huang, Rui, Jackson Fogelquist, and Xinfan Lin. “Reinforcement Learning of Optimal Input Excitation for Parameter Estimation With Application to Li-Ion Battery.” IEEE Transactions on Industrial Informatics, 2023, 1–11. https://doi.org/10.1109/TII.2023.3244342.

Howard, Robert L. “Recommended Crew Systems Capabilities for a 30 to 90 Day Four-Crew Lunar Surface Mission,” n.d.

Hwang, Min Young, Burcu Akinci, and Mario Berges. “An Overview of Root Cause Analysis of Faults in Heating, Ventilation, and Air Conditioning (HVAC) Systems.” In Computing in Civil Engineering 2021, 1441–48. Orlando, Florida: American Society of Civil Engineers, 2022. https://doi.org/10.1061/9780784483893.176.

Ivey, Daniela, Monica Torralba, and Stephen Robinson. “ECLSS Air Revitalization Technology Review 2022: Review of Current Published Units and Their Fault Modes.” In International Conference on Environmental Systems, 51:13, 2022. https://ttu-ir.tdl.org/handle/2346/89720.

Kaschubek, Daniel, and James Nabity. “Modeling and Simulation of Component Degradation and Faults in the Carbon Dioxide Removal Assembly.” In International Conference on Environmental Systems, 51:15, 2022. https://ttu-ir.tdl.org/handle/2346/89758.

Kingsley, Sarah, Zhaoyi Xu, Brant Jones, Joseph Saleh, and Thomas M. Orlando. “A Mass Spectrometry-Machine Learning Approach for Detecting Volatile Organic Compound Emissions for Early Fire Detection.” Journal of the American Society for Mass Spectrometry 34, no. 5 (May 3, 2023): 826–35. https://doi.org/10.1021/jasms.2c00304.

Kintz, Jacob R. “Estimating Operator Trust, Mental Workload, and Situation Awareness Through Embedded Measures for Human-Autonomy Teaming.” M.S., University of Colorado at Boulder MS Thesis, 2021. https://www.proquest.com/docview/2553893351/abstract/2542C1393DCA4D11PQ/1.

Kintz, Jacob R., Neil T. Banerjee, Johnny Y. Zhang, Allison P. Anderson, and Torin K. Clark. “Estimation of Subjectively Reported Trust, Mental Workload, and Situation Awareness Using Unobtrusive Measures.” Human Factors 65, no. 6 (September 1, 2023): 1142–60. https://doi.org/10.1177/00187208221129371.

Kintz, Jacob Ryan, Savannah Lynn Buchner, Allison Paige Anderson, and Torin Kristofer Clark. “Predicting Operator Cognitive States for Supervisory Human-Autonomy Teaming.” In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 5146–53, 2023. https://doi.org/10.1109/SMC53992.2023.10394254.

Kintz, Jacob, Young-Young Shen, Savannah Buchner, Allison Anderson, and Torin Clark. “A Simulated Air Revitalization Task to Investigate Remote Operator Human-Autonomy Teaming With Communication Latency.” In 52nd International Conference on Environmental Systems. Calgary, Canada, 2023. https://hdl.handle.net/2346/94539.

Klaus, David M, Sophia A Zaccarine, Patrick K Pischulti, and Annika E Rollock. “Functionally Aligning Emergent Technologies for Self-Sufficient Deep Space Smart Habitats.” In International Conference on Environmental Systems, 51:12. St. Paul, Minnesota, 2022.

Klaus, David, Patrick Pischulti, Annika Rollock, and Sophia Zaccarine. “Establishing Assessment Criteria for Intelligent Infusion of ‘Smart Systems’ into a Space Habitat.” In International Conference on Environmental Systems, 2020.

Lai, Qingzhi, Jackson Blake Fogelquist, and Xinfan Lin. “System Identification of Battery Single Particle Model Parameters Using New Data Optimization Approach.” In 2022 American Control Conference (ACC), 376–83. Atlanta, GA, USA: IEEE, 2022. https://doi.org/10.23919/ACC53348.2022.9867365.

Parimi, Viraj. “T-HTN: Timeline Based HTN Planning for Multi-Agent Systems.” Masters Thesis, Carnegie Mellon University - Masters Thesis, 2021. https://www.ri.cmu.edu/publications/t-htn- timeline-based-htn-planning-for-multi-agent-systems/.

Parimi, Viraj. “T-HTN: Timeline Based HTN Planning for Multiple Robots.” In ICAPS | Hierarchical Planning, 2022, 9, 2022. https://viraj96.github.io/publication/2022-06-13-thtn- timeline-based-htn-planning-for-multiple-robots.

Pradeep, Prakruthi, Benedikt Boecking, Nicholas Gisolfi, Jacob R. Kintz, Torin K. Clark, and Artur Dubrawski. “Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract).” In Proceedings of the AAAI Conference on Artificial Intelligence, 37:16304–5, 2023. https://doi.org/10.1609/aaai.v37i13.27012.

Rojas, Diego. “Autonomous Robotic Manipulation of Deformable Linear Objects During Deep Space Maintenance and Repair Procedures.” MS Thesis, UC Davis, 2022. https://escholarship.org/uc/item/0dz2z0df.

Rollock, Annika E., and David M. Klaus. “Defining and Characterizing Self-Awareness and Self- Sufficiency for Deep Space Habitats.” Acta Astronautica 198 (September 2022): 366–75. https://doi.org/10.1016/j.actaastro.2022.06.002.

Rollock, Annika, and David Klaus. “A Historical Analysis of Earth-Independence in Human Spaceflight Missions.” In AIAA SciTech Forum. National Harbor, MD, 2023. https://arc.aiaa.org/doi/10.2514/6.2023-0267.

Rozas, Heraldo, Beste Basciftci, and Nagi Gebraeel. “Data-Driven Joint Optimization of Maintenance and Spare Parts Provisioning for Deep Space Habitats: A Stochastic Programming Approach.” Acta Astronautica 214 (January 2024): 167–81. https://doi.org/10.1016/j.actaastro.2023.10.028.

Rühling Cachay, Salva, Benedikt Boecking, and Artur Dubrawski. “End-to-End Weak Supervision.” In Advances in Neural Information Processing Systems, 34:1845–57. Curran Associates, Inc., 2021. https://proceedings.neurips.cc/paper/2021/hash/0e674a918ebca3f78bfe02e2f387689d- Abstract.html.

Shi, Jiachen, Heraldo Rozas, Murat Yildirim, and Nagi Gebraeel. “A Stochastic Programming Model for Jointly Optimizing Maintenance and Spare Parts Inventory for IoT Applications.” IISE Transactions 55, no. 4 (December 15, 2022): 419–31. https://doi.org/10.1080/24725854.2022.2127164.

Sofi, Ardalan R., and Bahram Ravani. “Determination of Aggregate Elastic Properties of Powder- Beds in Additive Manufacturing Using Convolutional Neural Networks.” In 2nd International Conference of the DFG International Research Training Group, edited by Christoph Garth, Jan

C. Aurich, Barbara Linke, Ralf Müller, Bahram Ravani, Gunther H. Weber, and Benjamin Kirsch, 89:8:1-8:17. Open Access Series in Informatics (OASIcs). Dagstuhl, Germany: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2021. https://doi.org/10.4230/OASIcs.iPMVM.2020.8.

Torralba, Monica, Cory George, Stephen Robinson, Samuel Eshima, and James Nabity. “Estimation of System States for Non-Measured Parameters and Integration with a Digital Twin Framework to Boost Spacecraft Autonomy and Awareness.” In International Conference on Environmental Systems, 51:12, 2022. https://ttu-ir.tdl.org/handle/2346/89759.

Ulusoy, Ulubilge, and Garrett Reisman. “Human Autonomy Teaming for Task Execution Support in Next Generation Deep Space Habitats.” In 73rd International Astronautical Congress (IAC), 73:13. Paris, France: IAC, 2022. https://www.researchgate.net/profile/Ulubilge- Ulusoy/publication/365187028_Human_Autonomy_Teaming_for_Task_Execution_Support_in_ Next_Generation_Deep_Space_Habitats/links/63698809431b1f53007b7ca5/Human-Autonomy- Teaming-for-Task-Execution-Support-in-Next-Generation-Deep-Space-Habitats.pdf.

Xu, Zhaoyi, Yanjie Guo, and Joseph Homer Saleh. “Multi-Objective Optimization for Sensor Placement: An Integrated Combinatorial Approach with Reduced Order Model and Gaussian Process.” Measurement 187 (January 2022): 110370. https://doi.org/10.1016/j.measurement.2021.110370.

Xu, Zhaoyi, Yanjie Guo, and Joseph H. Saleh. “Deep Learning for the next Generation (Highly Sensitive and Reliable) ECLSS Fire Monitoring and Detection System.” In 2021 IEEE Aerospace Conference (50100), 1–11. Big Sky, MT, USA: IEEE, 2021. https://doi.org/10.1109/AERO50100.2021.9438141.

Xu, Zhaoyi, Yanjie Guo, and Joseph Homer Saleh. “Accurate Remaining Useful Life Prediction With Uncertainty Quantification: A Deep Learning and Nonstationary Gaussian Process Approach.” IEEE Transactions on Reliability 71, no. 1 (March 2022): 443–56. https://doi.org/10.1109/TR.2021.3124944.

Xu, Zhaoyi, Yanjie Guo, and Joseph Homer Saleh. “Advances Toward the Next Generation Fire Detection: Deep LSTM Variational Autoencoder for Improved Sensitivity and Reliability.” IEEE Access 9 (2021): 30636–53. https://doi.org/10.1109/ACCESS.2021.3060338.

Xu, Zhaoyi, Yanjie Guo, and Joseph Homer Saleh. “Tackling Small Data Challenges in Visual Fire Detection: A Deep Convolutional Generative Adversarial Network Approach.” IEEE Access 9 (2021): 3936–46. https://doi.org/10.1109/ACCESS.2020.3047764.

Xu, Zhaoyi, and Joseph Homer Saleh. “Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities.” Reliability Engineer

2020

 

Image of publicationBales, G. and Kong Z. “Neurophysiological and Behavioral Correlates of Human-Multiagent Task Performance” (accepted). IEEE Transactions on Human-Machine Systems, 2020.

Click here for PDF of publication

 


Image of publicationChen, G., Lin, X. and Kong, Z. "Data-Driven Real-Timed-Failure-Propagation-Graph Refinement for Complex System Fault Diagnosis" (accepted) IEEE Control Systems Letters, 2020.

Click here for PDF of publication


image of publication

Kamath, A.G., Assadian, F.F., Robinson, S.K. “Multivariable Robust Control for the Powered-Descent of a Multibody Lunar Landing System” (accepted) AAS/AIAA Astrodynamics Specialist Conference, 2020.

 

 


image of publicationKintz, J.R. and Clark, T.K. “Unobtrusive Measurement and Autonomous Estimation of Human Internal Cognitive States” NASA Human Research Program Investigator’s Workshop, Galveston, TX, 27-30 Jan, 2020. (Won 1 st place in the student poster competition)

Click here to view poster

 


2019

 

image of publicationClark, T.K., Anderson, A.P., Nabity, J.A., Braun, R., Banerjee, N.T., Eshima, S.P., Kintz, J.R., Rollock, A.E., Zaccarine, S., Pischulti, P.K., and Klaus, D.M. “Smart Technology Infusion for Deep Space Exploration Habitats” (abstract and presentation) 8th AIAA-RM Annual Technical Symposium, Boulder, CO, 19 Nov, 2019.