{"id":165,"date":"2020-05-20T03:16:09","date_gmt":"2020-05-20T03:16:09","guid":{"rendered":"https:\/\/lab.vanderbilt.edu\/vumacs\/?page_id=165"},"modified":"2026-03-23T05:38:56","modified_gmt":"2026-03-23T05:38:56","slug":"publications","status":"publish","type":"page","link":"https:\/\/lab.vanderbilt.edu\/vumacs\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n\n          <h2>2025<\/h2>\n        <ul>\n<li>Diaz-Gonzalez, Abel, Austin Coursey, Marcos Quinones-Grueiro, and Gautam Biswas. &#8220;A Data-Driven Particle Filter Approach for System-Level Prediction of Remaining Useful Life.&#8221; In\u00a0<i>36th International Conference on Principles of Diagnosis and Resilient Systems (DX 2025)<\/i>, pp. 11-1. Schloss Dagstuhl-Leibniz-Zentrum f\u00fcr Informatik, 2025.<\/li>\n<li>Coursey, Austin, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro, and Gautam Biswas. &#8220;Data-Driven Fault Detection and Isolation Enhanced with System Structural Relationships (DX Competition).&#8221; In\u00a0<i>36th International Conference on Principles of Diagnosis and Resilient Systems (DX 2025)<\/i>, pp. 15-1. Schloss Dagstuhl-Leibniz-Zentrum f\u00fcr Informatik, 2025. (<strong>Best Applied Research Paper Award. Competition Winner.<\/strong>)<\/li>\n<li>Coursey, Austin, Marcos Quinones-Grueiro, and Gautam Biswas. &#8220;On the Design of Safe Continual RL Methods for Control of Nonlinear Systems.&#8221;\u00a0<em>2025 European Control Conference (ECC)<\/em>, Thessaloniki, Greece, 2025, pp. 892-897, doi: 10.23919\/ECC65951.2025.11187149.<\/li>\n<li>Coursey, Austin, Junyi Ji, Zhiyao Zhang, William Barbour, Marcos Quinones-Grueiro, Tyler Derr, Gautam Biswas, and Daniel B. Work. &#8220;Real-Time Freeway Traffic Anomalous Event Detection System via Radar Detector Sensors.&#8221; In\u00a0<i>Proceedings of the ACM\/IEEE 16th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2025)<\/i>, pp. 1-2. 2025.<\/li>\n<li>Long, Peter, Zhiyao Zhang, Austin Coursey, Marcos Quinones-Grueiro, and Gautam Biswas. &#8220;Analysis of the Efficiency of Traffic Control Algorithms on the Vanderbilt Campus.&#8221;<\/li>\n<\/ul>\n <!-- rich-text -->\n          <h2>2024<\/h2>\n        <ul>\n<li>Coursey, Austin, Marcos Quinones-Grueiro, and Gautam Biswas. &#8220;An Experimental Framework for Evaluating the Safety and Robustness of UAV Controllers.&#8221;\u00a0<i>AIAA AVIATION FORUM AND ASCEND 2024<\/i>. 2024.<\/li>\n<li>Coursey, Austin, Allan Zhang, Marcos Quinones-Grueiro, and Gautam Biswas. &#8220;Hybrid control framework of uavs under varying wind and payload conditions.&#8221; In\u00a0<i>2024 American Control Conference (ACC)<\/i>, pp. 1543-1549. IEEE, 2024.<\/li>\n<li>Diaz-Gonzalez, Abel, Austin Coursey, Marcos Quinones-Grueiro, and Gautam Biswas. &#8220;A Flexible Data-Driven Prognostics Model Using System Performance Metrics.&#8221;\u00a0<i>IFAC-PapersOnLine<\/i>\u00a058, no. 4 (2024): 222-227.<\/li>\n<li>Sharma, Shansita Das, Austin Coursey, Marcos Quinones-Grueiro, and Gautam Biswas. &#8220;Comparison of Transfer Learning Techniques for Building Energy Forecasting.&#8221;\u00a0<i>IFAC-PapersOnLine<\/i>\u00a058, no. 4 (2024): 180-185.<\/li>\n<li>Huang, Yuxin, Austin Coursey, Marcos Quinones-Grueiro, and Gautam Biswas. &#8220;Time-Series Few Shot Anomaly Detection for HVAC Systems.&#8221;\u00a0<i>IFAC-PapersOnLine<\/i>\u00a058, no. 4 (2024): 426-431.<\/li>\n<li>Coursey, Austin, Marcos Quinones-Grueiro, and Gautam Biswas. &#8220;Quantifying the Sim-To-Real Gap in UAV Disturbance Rejection.&#8221; In\u00a0<i>35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024)<\/i>, pp. 16-1. Schloss Dagstuhl-Leibniz-Zentrum f\u00fcr Informatik, 2024.<\/li>\n<li>Diaz-Gonzalez, Abel, Austin Coursey, Marcos Quinones-Grueiro, Chetan S. Kulkarni, and Gautam Biswas. &#8220;Data-Driven RUL Prediction Using Performance Metrics (Short Paper).&#8221; In\u00a0<i>35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024)<\/i>, pp. 21-1. Schloss Dagstuhl-Leibniz-Zentrum f\u00fcr Informatik, 2024.<\/li>\n<li>Coursey, Austin, Junyi Ji, Marcos Quinones Grueiro, William Barbour, Yuhang Zhang, Tyler Derr, Gautam Biswas, and Daniel Work. &#8220;FT-AED: Benchmark dataset for early freeway traffic anomalous event detection.&#8221;\u00a0<i>Advances in Neural Information Processing Systems<\/i>\u00a037 (2024): 15526-15549.<\/li>\n<\/ul>\n <!-- rich-text -->\n          <h2>2023<\/h2>\n        <ul>\n<li>Austin Coursey, Abel Diaz Gonzalez, Marcos Quinones-Grueiro, and Gautam Biswas. Enhancing Prognostics with Self-Supervised Imputation. 34th International Workshop on Principle of Diagnosis &#8211; DX 2023 Workshop in Loma Mar, CA, USA, September 11th &#8211; 14th, 2023.<\/li>\n<li>Austin Coursey, Marcos Quinones-Grueiro, and Gautam Biswas. Anomaly Detection for Multi-Zone Buildings using Cluster-Trained LSTM Autoencoders, IEEE CODIT Conference, Rome, Italy, 2023.<\/li>\n<li>Ibrahim Ahmed, Marcos Quinones-Grueiro, and Gautam Biswas. Model-based adaptation for sample efficient transfer in reinforcement learning control of parameter-varying systems, IEEE CODIT Conference, Rome, Italy, 2023.<\/li>\n<li>Austin Coursey, Marcos Quinones-Grueiro, and Gautam Biswas. On Learning Data-Driven Models For In-Flight Drone Battery Discharge Estimation From Real Data, IEEE Smartcomp Conference, Nashville, TN, USA, 2023.<\/li>\n<li>Ibrahim Ahmed, Marcos Quinones-Grueiro, and Gautam Biswas. Robust trajectory planning for multi-rotor aerial vehicles subject to saturation faults and wind disturbances, AIAA AVIATION Conference, San Diego, CA, USA, 2023.<\/li>\n<li>Ibrahim Ahmed, Marcos Quinones-Grueiro, and Gautam Biswas. Adaptive fault-tolerant control of octo-rotor UAV under motor faults in adverse wind conditions, AIAA SciTech Conference, National Harbor, MD, USA, 2023.<\/li>\n<li>Ellis Thompson, Abenezer Taye, James Ashby, Gerald Fattah, Peng Wei, Timothy Bonin, James Jones, Marcos Quinones-Grueiro, Gautam Biswas. Probabilistic Evaluation for Flight Mission Feasibility of a Small Octocopter in the Presence of Wind, AIAA AVIATION, San Diego, CA, USA, 2023.<\/li>\n<\/ul>\n <!-- rich-text -->\n          <h2>2022<\/h2>\n        <ul>\n<li>Avisek Naug, Marcos Quinones-Grueiro, and Gautam Biswas. Deep Reinforcement Learning Control for Non-stationary Building Energy Management. Energy &amp; Buildings, Vol. 277, Elsevier, pp. 112584, 2022.<\/li>\n<li>Ibrahim Ahmed, Marcos Quinones-Grueiro, and Gautam Biswas. A high-fidelity simulation test-bed for fault-tolerant octorotor control using reinforcement learning. Digital Avionics Systems Conference, Portsmouth, Virginia, 2022.\u00a0<strong>(Best paper of the Session Swarms<\/strong>)<\/li>\n<li>Timothy Darrah, M. Quinones-Grueiro, Gautam Biswas, and Andreas Lovberg. Developing Deep Learning Models for System-Level Remaining Useful Life Predictions: Application to Aircraft Engines. Annual Conference of the PHM Society, Nashville, USA 2022. (Accepted)<\/li>\n<li>Avisek Naug, Marcos Quinones-Grueiro, and Gautam Biswas. Reinforcement learning-based HVAC supervisory control of a multi-zone building- A real case study. IEEE Conference on Control Technology and Applications, Trieste, Italy, 2022. (Accepted)<\/li>\n<li>Avisek Naug, Marcos Quinones-Grueiro, and Gautam Biswas. Data-Driven Learning Control for Building Energy Management. IEEE American Control Conference, Atlanta, USA, 2022.\u00a0(Accepted)<\/li>\n<li>L. Bhan, M. Quinones-Grueiro &amp; G. Biswas.\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9811672\/\">Concurrent policy blending and system identification for generalized assistive control.<\/a>\u00a0IEEE International Conference of Robotics and Control (ICRA), Philadephia, 2022.<\/li>\n<li>Ellis Thompson, Abenezer Taye, Wei Guo, Peng Wei, Marcos Quinones-Grueiro, Ibrahim Ahmed, Gautam Biswas, Jesse Quattrociocchi, Steven Carr, Ufuk Topcu, James Jones, &amp; Marc Brittain.<a href=\"https:\/\/arc.aiaa.org\/doi\/10.2514\/6.2022-3539\">\u00a0A Survey of eVTOL Aircraft and AAM Operation Hazards<\/a>, AIAA Forum, Chicago, USA, 2022.<\/li>\n<li>Timothy Darrah, Gautam Biswas, Jeremy Frank, Marcos Quinones-Grueiro, and Christopher Teubert.\u00a0<a href=\"https:\/\/jsssjournal.com\/article\/view\/5001\">A data-centric approach to the study of system-level prognostics for cyber-physical systems: application to safe UAV operations<\/a>. Journal of Surveillance, Security and Safety, 3(2), 2022, pp.55-87.<\/li>\n<\/ul>\n <!-- rich-text -->\n          <h2>2021<\/h2>\n        <ul>\n<li>Ibrahim Ahmed, Marcos Quinones-Grueiro, and Gautam Biswas.\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9595754\">Transfer reinforcement learning for fault-tolerant control by re-using optimal policies<\/a>. 2021 5th International Conference on Control and Fault-Tolerant Systems (SysTol), Saint-Raphael, France.<\/li>\n<li>Luke Bhan, Marcos Quinones-Grueiro, and Gautam Biswas.\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9595275\">Fault-Tolerant Control combining Reinforcement Learning and Model-based Control<\/a>. 2021 5th International Conference on Control and Fault-Tolerant Systems (SysTol), Saint-Raphael, France.<\/li>\n<li>Marcos Quinones-Grueiro, Gautam Biswas, Ibrahim Ahmed, Timothy Darrah,\u00a0 Chetan Kulkarni. (2021).\u00a0<a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=D6ENug8AAAAJ&amp;sortby=pubdate&amp;citation_for_view=D6ENug8AAAAJ:5ugPr518TE4C\">Online decision making and path planning framework for safe operation of unmanned aerial vehicles in urban scenarios<\/a>.\u00a0International Journal of Prognostics and Health Management.<\/li>\n<li>Timothy Darrah, Jeremy Frank,\u00a0Marcos Qui\u00f1ones-Grueiro, Gautam Biswas. (2021). A Data Management Framework &amp; UAV Simulation Testbed for the Study for System-level Prognostics Technologies.\u00a0<a href=\"https:\/\/phm2021.phmsociety.org\/\">Annual Conference of the Prognostics &amp; Health Management (PHM) Society<\/a>\u00a0(to appear).<\/li>\n<li>Timothy Darrah, Marcos Qui\u00f1ones-Grueiro, Gautam Biswas, Chetan Kulkarni. (2021).\u00a0<a href=\"https:\/\/arc.aiaa.org\/doi\/abs\/10.2514\/6.2021-0394\">Prognostics Based Decision Making for Safe and Optimal UAV Operations<\/a>.\u00a0<em>AIAA Scitech Forum<\/em>.<\/li>\n<li>Ibrahim Ahmed, Marcos Quinones-Grueiro, and Gautam Biswas,\u00a0<a href=\"\/vumacs\/wp-content\/uploads\/sites\/114\/2026\/03\/DX-2021_paper_14.pdf\">Policy reuse for transfer reinforcement learning in fault-tolerant control<\/a>. 32nd International Workshop on Principles of Diagnosis (DX-2021), Hamburg, Germany.<\/li>\n<li>Luke Bhan, Marcos Quinones-Grueiro and Gautam Biswas,\u00a0<a href=\"\/vumacs\/wp-content\/uploads\/sites\/114\/2026\/03\/DX-2021_paper_13.pdf\">Adaptive Model-Based Control with Reinforcement Learning for Fault Tolerance.<\/a>\u00a032nd International Workshop on Principles of Diagnosis (DX-2021), Hamburg, Germany. (winner of\u00a0<strong>Best Student Paper Award<\/strong>).<\/li>\n<\/ul>\n <!-- rich-text -->\n          <h2>2020<\/h2>\n        <ul>\n<li>Marcos Qui\u00f1ones-Grueiro,\u00a0Timothy Darrah, Gautam Biswas,\u00a0Chetan Kulkarni (2020)\u00a0&#8220;<a href=\"http:\/\/papers.phmsociety.org\/index.php\/phmconf\/article\/view\/1190\">A decision-making framework for safe operations of unmanned aerial vehicles in urban scenarios<\/a>&#8220;. Annual Conference of the Prognostics &amp; Health Management (PHM) Society.<\/li>\n<li>Avisek Naug, Marcos Qui\u00f1ones-Grueiro, Gautam Biswas (2020) &#8220;<a href=\"https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=D6ENug8AAAAJ&amp;sortby=pubdate&amp;citation_for_view=D6ENug8AAAAJ:D_sINldO8mEC\">Continual adaptation in deep reinforcement learning-based control applied to non-stationary building environments<\/a>&#8220;, Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings &amp; Cities.<\/li>\n<li>Avisek Naug, Marcos Qui\u00f1ones-Grueiro, Gautam Biswas (2020) &#8220;<a href=\"https:\/\/arxiv.org\/abs\/2008.01879\">A Relearning Approach to Reinforcement Learning for Control of Smart Buildings<\/a>&#8220;, 2020,\u00a0arXiv:2008.01879<\/li>\n<li>Darrah, T., Kulkarni, C., Biswas, G. (2020). The\u00a0<a href=\"https:\/\/arc.aiaa.org\/doi\/abs\/10.2514\/6.2020-1626\">Effects of Component Degradation on System-Level Prognostics for the Electric Powertrain System of UAVs<\/a>.\u00a0<em>AIAA Scitech Forum<\/em>.<\/li>\n<li>Jung, D., Dong, Y., Frisk, E., Krysander, M., &amp; Biswas, G. (2020).<a href=\"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/00207179.2018.1484171\">\u00a0Sensor selection for fault diagnosis in uncertain systems<\/a>.\u00a0<i>International Journal of Control<\/i>,\u00a0<i>93<\/i>(3), 629-639.<\/li>\n<li>Zhang, W., Biswas, G., Zhao, Q., Zhao, H., &amp; Feng, W. (2020).\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1568494619307392\">Knowledge distilling based model compression and feature learning in fault diagnosis<\/a>.\u00a0<i>Applied Soft Computing<\/i>,\u00a0<i>88<\/i>, 105958.<\/li>\n<li>Sajan, K. S., Bariya, M., Basak, S., Srivastava, A., Dubey, A., von Meier, A., &amp; Biswas, G. (2020, April).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=9133691\">Realistic Synchrophasor Data Generation for Anomaly Detection and Event Classification<\/a>. In\u00a0<i>2020 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems<\/i>\u00a0(pp. 1-6).<\/li>\n<li>Ibrahim Ahmed, Marcos Quinones-Grueiro, Gautam Biswas (2020).\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2008.04407\">Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning<\/a>&#8220;. IFAC-PapersOnLine.<\/li>\n<li>Ibrahim Ahmed, Marcos Quinones-Grueiro, Gautam Biswas (2020).\u00a0<a href=\"https:\/\/www.phmpapers.org\/index.php\/phmconf\/article\/view\/1289\">Complementary Meta-Reinforcement Learning for Fault-Adaptive Control<\/a>&#8220;. PHM.<\/li>\n<\/ul>\n <!-- rich-text -->\n          <h2>2019<\/h2>\n        <ul>\n<li>A. Naug, I. Ahmed, and G. Biswas (2019). &#8220;<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/8784062\">Online Energy Management in Commercial Buildings using Deep Reinforcement Learning,<\/a>&#8221;\u00a0<i>2019 IEEE International Conference on Smart Computing (SMARTCOMP).<\/i><\/li>\n<li>Jha, M. S., Theilliol, D., Biswas, G., &amp; Weber, P. (2019, September).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=8864756\">Approximate Q-learning approach for Health Aware Control Design<\/a>. In\u00a0<i>2019 4th Conference on Control and Fault Tolerant Systems (SysTol)<\/i>\u00a0(pp. 418-423). IEEE.<\/li>\n<li>Khorasgani, H., &amp; Biswas, G. (2019).\u00a0<a href=\"https:\/\/link.springer.com\/content\/pdf\/10.1007%2F978-3-030-17728-7_13.pdf\">Mode Detection and Fault Diagnosis in Hybrid Systems<\/a>. In\u00a0<i>Fault Diagnosis of Dynamic Systems<\/i>\u00a0(pp. 319-345). Springer, Cham.<\/li>\n<li>Khorasgani, H., Biswas, G., &amp; Jung, D. (2019).\u00a0<a href=\"https:\/\/www.mdpi.com\/2076-3417\/9\/7\/1286\/htm\">Structural methodologies for distributed fault detection and isolation<\/a>.\u00a0<i>Applied Sciences<\/i>,\u00a0<i>9<\/i>(7), 1286.<\/li>\n<\/ul>\n <!-- rich-text -->\n          <h2>2018<\/h2>\n        <ul>\n<li>I. Ahmed, H. Khorasgani, and G. Biswas, &#8220;<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2405896318322924\">Comparison of Model Predictive and Reinforcement Learning Methods for Fault-Tolerant Control<\/a>,&#8221;\u00a0<i>IFAC-PapersOnLine<\/i>, vol. 51, no. 24, pp. 233-240, 2018.<\/li>\n<li>Naug, Avisek, and Gautam Biswas. &#8220;<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/8421341\/\">Data driven methods for energy reduction in large buildings.<\/a>&#8221;\u00a0<i>2018 IEEE International Conference on Smart Computing (SMARTCOMP)<\/i>. IEEE, 2018.<\/li>\n<li>Naug, Avisek, and Gautam Biswas. &#8220;<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/8560520\/\">A Data Driven Method for Prediction of Energy Demand in Commercial Buildings<\/a>.&#8221;\u00a0<i>2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)<\/i>. IEEE, 2018.<\/li>\n<li>Khorasgani, H., &amp; Biswas, G. (2018).\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S156849461830351X\">A methodology for monitoring smart buildings with incomplete models<\/a>.\u00a0<i>Applied Soft Computing<\/i>,\u00a0<i>71<\/i>, 396-406.<\/li>\n<li>Khorasgani, H., Farahat, A., Ristovski, K., Gupta, C., &amp; Biswas, G. (2018, September).\u00a0<a href=\"\/vumacs\/wp-content\/uploads\/sites\/114\/2026\/03\/093be541cc0c6e830ea414e7752caa054e99.pdf\">A framework for unifying model-based and data-driven fault diagnosis<\/a>. In\u00a0<i>PHM society conference<\/i>\u00a0(Vol. 10, No. 1).<\/li>\n<li>Mack, D. L., Biswas, G., Khorasgani, H., Mylaraswamy, D., &amp; Bharadwaj, R. (2018).\u00a0<a href=\"https:\/\/www.researchgate.net\/profile\/Gautam_Biswas3\/publication\/330409122_Combining_expert_knowledge_and_unsupervised_learning_techniques_for_anomaly_detection_in_aircraft_flight_data\/links\/5c3e810592851c22a3785d44\/Combining-expert-knowledge-and-unsupervised-learning-techniques-for-anomaly-detection-in-aircraft-flight-data.pdf\">Combining expert knowledge and unsupervised learning techniques for anomaly detection in aircraft flight data<\/a>.\u00a0<i>at-Automatisierungstechnik<\/i>,\u00a0<i>66<\/i>(4), 291-307.<\/li>\n<\/ul>\n <!-- rich-text -->\n          <h2>2017<\/h2>\n        <ul>\n<li>Khorasgani, H., &amp; Biswas, G. (2017).\u00a0<a href=\"https:\/\/yahootechpulse.easychair.org\/publications\/download\/cWm2\">A combined model-based and data-driven approach for monitoring smart buildings<\/a>. In\u00a0<em>Principles of Diagnosis Workshop<\/em>\u00a0<i>DX<\/i>\u00a0-2017 (pp. 21-36).<\/li>\n<li>Khorasgani, H., &amp; Biswas, G. (2017).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=8064197\">Structural fault detection and isolation in hybrid systems<\/a>.\u00a0<i>IEEE Transactions on Automation Science and Engineering<\/i>,\u00a0<i>15<\/i>(4), 1585-1599.<\/li>\n<li>Pettet, G., Nannapaneni, S., Stadnick, B., Dubey, A., &amp; Biswas, G. (2017, August).\u00a0<a href=\"https:\/\/par.nsf.gov\/servlets\/purl\/10026246\">Incident analysis and prediction using clustering and bayesian network<\/a>. In\u00a0<i>2017 IEEE SmartWorld, Ubiquitous Intelligence &amp; Computing, Advanced &amp; Trusted Computed, Scalable Computing &amp; Communications, Cloud &amp; Big Data Computing, Internet of People and Smart City Innovation (SmartWorld\/SCALCOM\/UIC\/ATC\/CBDCom\/IOP\/SCI)<\/i>\u00a0(pp. 1-8). IEEE.<\/li>\n<li>Niggemann, O., Biswas, G., Kinnebrew, JS, Khorasgani, H., Volgmann, S., &amp; Bunte, A. (2017).\u00a0<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-662-53248-5_73\">Data analysis in the intelligent factory<\/a>.\u00a0In\u00a0<i>manual Industrie 4.0 Vol. 2<\/i>\u00a0(pp. 471-490).\u00a0Springer Vieweg, Berlin, Heidelberg.<\/li>\n<li>Mukhopadhyay, A.,\u00a0 Vorobeychik, Y., Dubey, A., &amp; Biswas, G. (2017, January).\u00a0<a href=\"https:\/\/par.nsf.gov\/servlets\/purl\/10026211\">Prioritized allocation of emergency responders based on a continuous-time incident prediction model<\/a>. In\u00a0<i>International Conference on Autonomous Agents and MultiAgent Systems<\/i>.<\/li>\n<\/ul>\n <!-- rich-text -->\n          <h2>2016<\/h2>\n        <ul>\n<li>Daniel LC Mack, Gautam Biswas, Xenofon Koutsoukos, and Dinkar Mylaraswamy,\u00a0&#8220;<a href=\"http:\/\/ieeexplore.ieee.org\/document\/7444208\/\">Learning Bayesian Network Structures to Augment Aircraft Diagnostic Reference Models<\/a>,&#8221; \u00a0IEEE Transactions on Automation Science and Engineering, DOI: \u00a010.1109\/TASE.2016.2542186<\/li>\n<\/ul>\n<ul>\n<li>Gautam Biswas, Hamed Khorasgani, Gerald Stanje, Abhishek Dubey, Somnath Deb, and Sudipto Ghoshal,\u00a0&#8220;<a href=\"https:\/\/www.phmsociety.org\/sites\/phmsociety.org\/files\/phm_submission\/2016\/ijphm_16_033.pdf\">An Approach To Mode and Anomaly Detection with Spacecraft Telemetry Data<\/a>,&#8221;\u00a0International Journal of Prognostics and Health Management, vol. 7 (Special Issue on Big Data Anallytics)<\/li>\n<\/ul>\n<ul>\n<li>Hamed Khorasgani, Gautam Biswas, and Shankar Sankararaman,\u00a0&#8220;<a href=\"http:\/\/www.vuse.vanderbilt.edu\/~biswas\/Research\/MACS\/Papers\/RESS-S-15-00930.pdf\">Methodologies for System-level Remaining Useful Life Prediction<\/a>,&#8221;\u00a0Reliability Engineering and System Safety, vol. 154, pp. 8-18.<\/li>\n<\/ul>\n<ul>\n<li>\u00a0Joshua D. Carl and Gautam\u00a0 Biswas, \u00a0&#8220;<a href=\"http:\/\/dx.doi.org\/10.4236\/jsea.2016.95019\">An Approach to Parallel Simulation of Ordinary Differential Equtions<\/a>,&#8221;\u00a0Journal of Software Engineering Applications, vol. 9, pp. 250-290.<\/li>\n<\/ul>\n<ul>\n<li>G. Zhou, G. Biswas, W. Zhang, Q. Zhao, W. Feng, \u00a0&#8220;<a href=\"http:\/\/www.vuse.vanderbilt.edu\/~biswas\/Research\/MACS\/Papers\/StateEstimationAlgorithms-Simulation.pdf\">Comparison of State Estimation Techniques for Nonlinear Hybrid Systems<\/a>,&#8221;\u00a0Simulation, vol. 92, no. 4, pp. 357-376.<\/li>\n<\/ul>\n<ul>\n<li>Daniel LC Mack, Gautam Biswas, Dinkar Mylaraswamy, and Raj Bharadwaj,\u00a0&#8220;<a href=\"http:\/\/dx-2016.org\/papers\/DX-2016_30.pdf\">An Unsupervised Approach to Anomaly Detection from Aircraft Flight Data<\/a>,&#8221; \u00a0\u00a027<sup>th<\/sup>International Workshop on Principles of Diagnosis: DX-2016,\u00a0Denver, Colorado, October 4-7,.<\/li>\n<\/ul>\n<ul>\n<li>M.J. Daigle, A. Bregon, X. Koutsoukos, G. Biswas, and B. Pulido, \u00a0&#8220;<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0952197616300719\">A qualitative event-based approach to multiple fault diagnosis in continuous systems using structural model decomposition<\/a>,&#8221;\u00a0Engineering Applications of Artificial Intelligence, vol. 53, pp. 190-206, 2016.<\/li>\n<\/ul>\n <!-- rich-text -->\n          <h2>Selected Papers (2015 and earlier)<\/h2>\n        <ul>\n<li>Niggemann, O., Biswas, G., Kinnebrew, J. S., Khorasgani, H., Volgmann, S., &amp; Bunte, A. (2015, August).\u00a0<a href=\"https:\/\/pdfs.semanticscholar.org\/c846\/29921b2836ce812a8959edb37158f83627ec.pdf\">Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control.<\/a>\u00a0In\u00a0<i>DX@ Safeprocess<\/i>\u00a0(pp. 185-192).<\/li>\n<li>Khorasgani, H., Jung, D. E., Biswas, G., Frisk, E., &amp; Krysander, M. (2014, December).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=7040291\">Robust residual selection for fault detection.<\/a>\u00a0In\u00a0<i>53rd IEEE Conference on Decision and Control<\/i>\u00a0(pp. 5764-5769). IEEE.<\/li>\n<li>Bregon, A., Daigle, M., Roychoudhury, I., Biswas, G., Koutsoukos, X., &amp; Pulido, B. (2014).\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0004370214000113\">An event-based distributed diagnosis framework using structural model decomposition<\/a>.\u00a0<i>Artificial Intelligence<\/i>,\u00a0<i>210<\/i>, 1-35.<\/li>\n<li>Bouamama, B. O., Biswas, G., Loureiro, R., &amp; Merzouki, R. (2014).\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1367578814000388\">Graphical methods for diagnosis of dynamic systems<\/a>.\u00a0<i>Annual reviews in control<\/i>,\u00a0<i>38<\/i>(2), 199-219.<\/li>\n<li>Bregon, A., Biswas, G., Pulido, B., Alonso-Gonzalez, C., &amp; Khorasgani, H. (2013).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=6632987\">A common framework for compilation techniques applied to diagnosis of linear dynamic systems<\/a>.\u00a0<i>IEEE Transactions on Systems, Man, and Cybernetics: Systems<\/i>,\u00a0<i>44<\/i>(7), 863-876.<\/li>\n<li>Khorasgani, H., Kulkarni, C., Biswas, G., Celaya, J. R., &amp; Goebel, K. (2013).\u00a0<a href=\"\/vumacs\/wp-content\/uploads\/sites\/114\/2026\/03\/DegradatinModelingRULCapacitorsThermalOverstress_2013.pdf\">Degradation modeling and remaining useful life prediction of electrolytic capacitors under thermal overstress conditions using particle filters<\/a>. In\u00a0<i>Annual Conference of the Prognostics and Health Management Society (PHM&#8217;13)<\/i>.<\/li>\n<li>Kulkarni, C. S., Celaya, J. R., Biswas, G., &amp; Goebel, K. (2012, September).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=6334580\">Accelerated aging experiments for capacitor health monitoring and prognostics<\/a>. In\u00a0<i>2012 IEEE AUTOTESTCON Proceedings<\/i>\u00a0(pp. 356-361). IEEE.<\/li>\n<li>Kulkarni, C. S., Celaya, J. R., Goebel, K., &amp; Biswas, G. (2012).\u00a0<a href=\"https:\/\/ntrs.nasa.gov\/search.jsp?R=20120016836\">Physics-based electrolytic capacitor degradation models for prognostic studies under thermal overstress<\/a>.\u00a0<em>European Conference of the Prognostics and Health Management Society<\/em>.<\/li>\n<li>Frisk, E., Bregon, A., Aslund, J., Krysander, M., Pulido, B., &amp; Biswas, G. (2012).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=6179556\">Diagnosability analysis considering causal interpretations for differential constraints.<\/a>\u00a0<i>IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans<\/i>,\u00a0<i>42<\/i>(5), 1216-1229.<\/li>\n<li>Tantawy, A., Koutsoukos, X., &amp; Biswas, G. (2012).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=6129655\">Aircraft power generators: hybrid modeling and simulation for fault detection<\/a>.\u00a0<i>IEEE Transactions on Aerospace and Electronic Systems<\/i>,\u00a0<i>48<\/i>(1), 552-571.<\/li>\n<li>Celaya, J., Kulkarni, C., Biswas, G., Saha, S., &amp; Goebel, K. (2011).\u00a0<a href=\"https:\/\/ntrs.nasa.gov\/search.jsp?R=20140010627\">A model-based prognostics methodology for electrolytic capacitors based on electrical overstress accelerated aging<\/a>.<\/li>\n<li>Roychoudhury, I., Daigle, M. J., Biswas, G., &amp; Koutsoukos, X. (2011).\u00a0<a href=\"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0037549710364478\">Efficient simulation of hybrid systems: A hybrid bond graph approach<\/a>.\u00a0<i>Simulation<\/i>,\u00a0<i>87<\/i>(6), 467-498.<\/li>\n<li>Daigle, M. J., Koutsoukos, X. D., &amp; Biswas, G. (2010).\u00a0<a href=\"http:\/\/citeseerx.ist.psu.edu\/viewdoc\/download?doi=10.1.1.300.988&amp;rep=rep1&amp;type=pdf\">An event-based approach to integrated parametric and discrete fault diagnosis in hybrid systems<\/a>.\u00a0<i>Transactions of the Institute of Measurement and Control<\/i>,\u00a0<i>32<\/i>(5), 487-510.<\/li>\n<li>Kulkarni, C., Biswas, G., Koutsoukos, X., Celaya, J., &amp; Goebel, K. (2010, September).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=5613596\">Integrated diagnostic\/prognostic experimental setup for capacitor degradation and health monitoring<\/a>. In\u00a0<i>2010 IEEE AUTOTESTCON<\/i>\u00a0(pp. 1-7). IEEE.<\/li>\n<li>Daigle, M. J., Roychoudhury, I., Biswas, G., Koutsoukos, X. D., Patterson-Hine, A., &amp; Poll, S. (2010).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=5504182\">A comprehensive diagnosis methodology for complex hybrid systems: A case study on spacecraft power distribution systems<\/a>.\u00a0<i>IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans<\/i>,\u00a0<i>40<\/i>(5), 917-931.<\/li>\n<li>Kulkarni, C., Biswas, G., &amp; Koutsoukos, X. (2009, October).\u00a0<a href=\"https:\/\/d1wqtxts1xzle7.cloudfront.net\/30588192\/11-Kulkarni_Prognosis_case_study_electrolytic_capacitor_degradation.pdf\">A prognosis case study for electrolytic capacitor degradation in DC-DC converters<\/a>. In\u00a0<i>PHM Conference<\/i>.<\/li>\n<li>Roychoudhury, I., Biswas, G., &amp; Koutsoukos, X. (2009).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=4801535\">Designing distributed diagnosers for complex continuous systems<\/a>.\u00a0<i>IEEE Transactions on Automation Science and Engineering<\/i>,\u00a0<i>6<\/i>(2), 277-290.<\/li>\n<li>Roychoudhury, I., Biswas, G., &amp; Koutsoukos, X. (2008, September).\u00a0<a href=\"http:\/\/citeseerx.ist.psu.edu\/viewdoc\/download?doi=10.1.1.664.9536&amp;rep=rep1&amp;type=pdf#page=163\">Comprehensive diagnosis of continuous systems using dynamic bayes nets<\/a>. In\u00a0<i>Proc. of the 19th International Workshop on Principles of Diagnosis<\/i>\u00a0(pp. 151-158).<\/li>\n<li>Poll, S., Patterson-Hine, A., Camisa, J., Garcia, D., Hall, D., Lee, C., &#8230; &amp; Sweet, A. (2007, May).\u00a0<a href=\"https:\/\/d1wqtxts1xzle7.cloudfront.net\/38197491\/1299_Patterson-Hine.pdf\">Advanced diagnostics and prognostics testbed<\/a>. In\u00a0<i>Proceedings of the 18th International Workshop on Principles of Diagnosis (DX-07)<\/i>\u00a0(pp. 178-185).<\/li>\n<li>Daigle, M. J., Koutsoukos, X. D., &amp; Biswas, G. (2007).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=4154826\">Distributed diagnosis in formations of mobile robots<\/a>.\u00a0<i>IEEE Transactions on Robotics<\/i>,\u00a0<i>23<\/i>(2), 353-369.<\/li>\n<li>Narasimhan, S., &amp; Biswas, G. (2007).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=4154930\">Model-based diagnosis of hybrid systems<\/a>.\u00a0<i>IEEE Transactions on systems, man, and cybernetics-Part A: Systems and humans<\/i>,\u00a0<i>37<\/i>(3), 348-361.<\/li>\n<li>Roychoudhury, I., Biswas, G., &amp; Koutsoukos, X. (2006, June).\u00a0<a href=\"http:\/\/citeseerx.ist.psu.edu\/viewdoc\/download?doi=10.1.1.77.1647&amp;rep=rep1&amp;type=pdf\">A Bayesian approach to efficient diagnosis of incipient faults<\/a>. In\u00a0<i>Proceedings of the 17th International Workshop on Principles of Diagnosis (DX-06)<\/i>\u00a0(pp. 243-250).<\/li>\n<li>Ji, M., Zhang, Z., Biswas, G., &amp; Sarkar, N. (2003).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=1206477\">Hybrid fault adaptive control of a wheeled mobile robot<\/a>.\u00a0<i>IEEE\/ASME transactions on mechatronics<\/i>,\u00a0<i>8<\/i>(2), 226-233.<\/li>\n<li>Biswas, G., Simon, G., Mahadevan, N., Narasimhan, S., Ramirez, J., &amp; Karsai, G. (2003).\u00a0<a href=\"https:\/\/reader.elsevier.com\/reader\/sd\/pii\/S1474667017366272?token=F940283E404ED9C18DB44C04235775FF6C8D04AB544B3654E1F7D5F5193A1105B944E5F2B28EA99B8ED6DC471A0DE5BC\">A robust method for hybrid diagnosis of complex systems.<\/a>\u00a0<i>IFAC Proceedings Volumes<\/i>,\u00a0<i>36<\/i>(5), 1023-1028.<\/li>\n<li>Feenstra, P. J., Mosterman, P. J., Biswas, G., &amp; Breedveld, P. C. (2001).\u00a0<a href=\"\/vumacs\/wp-content\/uploads\/sites\/114\/2026\/03\/bondgraphmodeling.pdf\">Bond graph modeling procedures for fault detection and isolation of complex flow processes<\/a>.<\/li>\n<li>Lerner, U., Parr, R., Koller, D., &amp; Biswas, G. (2000, July).\u00a0<a href=\"\/vumacs\/wp-content\/uploads\/sites\/114\/2026\/03\/AAAI00-081.pdf\">Bayesian fault detection and diagnosis in dynamic systems<\/a>. In\u00a0<i>Aaai\/iaai<\/i>\u00a0(pp. 531-537).<\/li>\n<li>Manders, E. J., Narasimhan, S., Biswas, G., &amp; Mosterman, P. J. (2000).\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1474667017374098\">A combined qualitative\/quantitative approach for fault isolation in continuous dynamic systems.<\/a>\u00a0<i>IFAC Proceedings Volumes<\/i>,\u00a0<i>33<\/i>(11), 505-510.<\/li>\n<li>McIlraith, S., Biswas, G., Clancy, D., &amp; Gupta, V. (2000, March).\u00a0<a href=\"https:\/\/link.springer.com\/content\/pdf\/10.1007%2F3-540-46430-1_25.pdf\">Hybrid systems diagnosis<\/a>. In\u00a0<i>International Workshop on Hybrid Systems: Computation and Control<\/i>\u00a0(pp. 282-295). Springer, Berlin, Heidelberg.<\/li>\n<li>Mosterman, P. J., &amp; Biswas, G. (1999).\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=798059\">Diagnosis of continuous valued systems in transient operating regions<\/a>.\u00a0<i>IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans<\/i>,\u00a0<i>29<\/i>(6), 554-565.<\/li>\n<li>Manders, E. J., Mosterman, P. J., &amp; Biswas, G. (1999, June).\u00a0<a href=\"https:\/\/cdn.vanderbilt.edu\/t2-main\/lab-prd\/wp-content\/uploads\/sites\/114\/2026\/03\/Signal_to_Symbol_Transformation_Techniques_for_Rob.pdf\">Signal to symbol transformation techniques for robust diagnosis in TRANSCEND<\/a>. In\u00a0<i>Tenth International Workshop on Principles of Diagnosis<\/i>\u00a0(pp. 155-165).<\/li>\n<li>Mosterman, P. J., &amp; Biswas, G. (1998).\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0016003296001263\">A theory of discontinuities in physical system models<\/a>.\u00a0<i>Journal of the Franklin Institute<\/i>,\u00a0<i>335<\/i>(3), 401-439.<\/li>\n<li>Mosterman, P. J., Biswas, G., &amp; Sztipanovits, J. (1998).\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0967066198000458\">A hybrid modeling and verification paradigm for embedded control systems<\/a>.\u00a0<i>Control Engineering Practice<\/i>,\u00a0<i>6<\/i>(4), 511-521.<\/li>\n<li>Mosterman, P. J., &amp; Biswas, G. (1997, August).\u00a0<a href=\"https:\/\/d1wqtxts1xzle7.cloudfront.net\/30840347\/10.1.1.161.9735.pdf\">Formal specifications for hybrid dynamical systems<\/a>. In\u00a0<i>IJCAI (1)<\/i>\u00a0(pp. 568-577).<\/li>\n<li>Mosterman, P. J., &amp; Biswas, G. (1997, July).<a href=\"http:\/\/msdl.cs.mcgill.ca\/people\/mosterman\/papers\/aaai97\/p.pdf\">\u00a0Monitoring, prediction, and fault isolation in dynamic physical systems.<\/a>\u00a0In\u00a0<i>AAAI\/IAAI<\/i>\u00a0(pp. 100-105).<\/li>\n<\/ul>\n <!-- rich-text -->\n\n","protected":false},"excerpt":{"rendered":"<p>2025 Diaz-Gonzalez, Abel, Austin Coursey, Marcos Quinones-Grueiro, and Gautam Biswas. &#8220;A Data-Driven Particle Filter Approach for System-Level Prediction of Remaining Useful Life.&#8221; In\u00a036th International Conference on Principles of Diagnosis and Resilient Systems (DX 2025), pp. 11-1. Schloss Dagstuhl-Leibniz-Zentrum f\u00fcr Informatik, 2025. Coursey, Austin, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro, and Gautam Biswas. &#8220;Data-Driven Fault Detection and Isolation [&hellip;]<\/p>\n","protected":false},"author":211,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"tags":[],"class_list":["post-165","page","type-page","status-publish","hentry"],"acf":[],"ACF":{"topper_style":"default","topper_overline":"","topper_title":"","topper_intro":"","default_topper_background_type":"none","footer_style":"standard","recirculation_style":"none","nav_menu":"","nav_menu_secondary":"no","page_style_option":"details","page_theme_option":"light","page_class_name":"","page_jumplinks_option":"no"},"_links":{"self":[{"href":"https:\/\/lab.vanderbilt.edu\/vumacs\/wp-json\/wp\/v2\/pages\/165","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lab.vanderbilt.edu\/vumacs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/lab.vanderbilt.edu\/vumacs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/lab.vanderbilt.edu\/vumacs\/wp-json\/wp\/v2\/users\/211"}],"replies":[{"embeddable":true,"href":"https:\/\/lab.vanderbilt.edu\/vumacs\/wp-json\/wp\/v2\/comments?post=165"}],"version-history":[{"count":36,"href":"https:\/\/lab.vanderbilt.edu\/vumacs\/wp-json\/wp\/v2\/pages\/165\/revisions"}],"predecessor-version":[{"id":716,"href":"https:\/\/lab.vanderbilt.edu\/vumacs\/wp-json\/wp\/v2\/pages\/165\/revisions\/716"}],"wp:attachment":[{"href":"https:\/\/lab.vanderbilt.edu\/vumacs\/wp-json\/wp\/v2\/media?parent=165"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lab.vanderbilt.edu\/vumacs\/wp-json\/wp\/v2\/tags?post=165"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}