A New Approach for Fault Diagnosis of Industrial Processes During Transitions. - Danyer L. Acevedo-Galán; Marcos Quiñones-Grueiro; Alberto Prieto-Moreno; Orestes Llanes-Santiago (IWAIPR, 2018)

An Unsupervised Approach to Leak Detection and Location in Water Distribution Networks. - Marcos Quiñones-Grueiro; Cristina Verde; Alberto Prieto-Moreno; Orestes Llanes-Santiago (Int. J. Appl. Math. Comput. Sci., 2018)

Novel Leak Location Approach in Water Distribution Networks with Zone Clustering and Classification. - Marcos Quiñones-Grueiro; Cristina Verde; Orestes Llanes-Santiago (MCPR, 2019)

A Proposal of Robust Leak Localization in Water Distribution Networks Using Differential Evolution. - Maibeth Sánchez-Rivero; Marcos Quiñones-Grueiro; Carlos Cruz Corona; Antônio José da Silva Neto; Orestes Llanes-Santiago (SOCO, 2019)

Multi-objective sensor placement for leakage detection and localization in water distribution networks. - Marcos Quiñones-Grueiro; Cristina Verde; Orestes Llanes-Santiago (SysTol, 2019)

A Relearning Approach to Reinforcement Learning for Control of Smart Buildings. - Avisek Naug; Marcos Quiñones-Grueiro; Gautam Biswas (CoRR, 2020)

Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning. - Ibrahim Ahmed 005; Marcos Quiñones-Grueiro; Gautam Biswas (CoRR, 2020)

Complementary Meta-Reinforcement Learning for Fault-Adaptive Control. - Ibrahim Ahmed 005; Marcos Quiñones-Grueiro; Gautam Biswas (CoRR, 2020)

Performance-Weighed Policy Sampling for Meta-Reinforcement Learning. - Ibrahim Ahmed 005; Marcos Quiñones-Grueiro; Gautam Biswas (CoRR, 2020)

Monitoring Multimode Continuous Processes - A Data-Driven Approach - Marcos Quiñones-Grueiro; Orestes Llanes-Santiago; Antônio José da Silva Neto (Springer, 2021)

Clustering-Based Partitioning of Water Distribution Networks for Leak Zone Location. - Marlon Ares Milián; Marcos Quiñones-Grueiro; Carlos Cruz Corona; Orestes Llanes-Santiago (CIARP, 2021)

A Novel Hybrid Approach for Fault-Tolerant Control of UAVs based on Robust Reinforcement Learning. - Yves Sohege; Marcos Quiñones-Grueiro; Gregory M. Provan (ICRA, 2021)

A Novel Approach for Detection and Location of Cyber-Attacks in Water Distribution Networks. - Claudia Rodríguez Martínez; Marcos Quiñones-Grueiro; Cristina Verde; Orestes Llanes-Santiago (IWAIPR, 2021)

A Proposal of Metric for Improving Remaining Useful Life Prediction in Industrial Systems. - Adriana Villalón-Falcón; Alberto Prieto-Moreno; Marcos Quiñones-Grueiro; Orestes Llanes-Santiago (IWAIPR, 2021)

Sensitivity and robustness of end-to-end data-driven approach for building performance optimization. - Avisek Naug; Marcos Quiñones-Grueiro; Gautam Biswas (BuildSys, 2021)

Transfer reinforcement learning for fault-tolerant control by re-using optimal policies. - Ibrahim Ahmed 005; Marcos Quiñones-Grueiro; Gautam Biswas (SysTol, 2021)

Fault Tolerant Control combining Reinforcement Learning and Model-based Control *. - Luke Bhan; Marcos Quiñones-Grueiro; Gautam Biswas (SysTol, 2021)

Leak Zone Localization in Water Distribution Networks using a Topology-based Differential Evolution Algorithm. - Marlon Ares Milián; Marcos Quiñones-Grueiro; Cristina Verde; Orestes Llanes-Santiago (SysTol, 2021)

Robust leak localization in water distribution networks using computational intelligence. - Marcos Quiñones-Grueiro; Marlon Ares Milián; Maibeth Sánchez-Rivero; Antônio José da Silva Neto; Orestes Llanes-Santiago (Neurocomputing, 2021)

Data-Driven Learning Control for Building Energy Management. - Avisek Naug; Marcos Quiñones-Grueiro; Gautam Biswas (ACC, 2022)

Reinforcement learning-based HVAC supervisory control of a multi-zone building- A real case study. - Avisek Naug; Marcos Quiñones-Grueiro; Gautam Biswas (CCTA, 2022)

Generating Minimal Controller Sets for Mixing MMAC. - Gregory M. Provan; Marcos Quiñones-Grueiro; Yves Sohege (CDC, 2022)

Concurrent Policy Blending and System Identification for Generalized Assistive Control. - Luke Bhan; Marcos Quiñones-Grueiro; Gautam Biswas (ICRA, 2022)

Quantifying the impact of driver compliance on the effectiveness of variable speed limits and lane control systems. - Yuhang Zhang 009; Marcos Quiñones-Grueiro; William Barbour; Clay Weston; Gautam Biswas; Dan Work (ITSC, 2022)

Computational adaptive multivariable degradation model for improving the remaining useful life prediction in industrial systems. - Adriana Villalón-Falcón; Alberto Prieto-Moreno; Marcos Quiñones-Grueiro; Orestes Llanes-Santiago (Comput. Appl. Math., 2022)

Pressure Sensor Placement for Leak Location in Zones of a Water Distribution Network. - Marlon J. Ares Milián; Marcos Quiñones-Grueiro; Cristina Verde; Orestes Llanes-Santiago (Computational Intelligence Methodologies Applied to Sustainable Development Goals, 2022)

Model-Based Adaptation for Sample Efficient Transfer in Reinforcement Learning Control of Parameter-Varying Systems. - Ibrahim Ahmed 005; Marcos Quiñones-Grueiro; Gautam Biswas (CoDIT, 2023)

Anomaly Detection for Multi-Zone Buildings Using Cluster-Trained LSTM Autoencoders. - Austin Coursey; Marcos Quiñones-Grueiro; Gautam Biswas; Timothy Darrah (CoDIT, 2023)

Evaluation of Traffic Signal Control at Varying Demand Levels: A Comparative Study. - Zhiyao Zhang; Marcos Quiñones-Grueiro; William Barbour; Yuhang Zhang 009; Gautam Biswas; Daniel B. Work (ITSC, 2023)

On Learning Data-Driven Models For In-Flight Drone Battery Discharge Estimation From Real Data. - Austin Coursey; Marcos Quiñones-Grueiro; Gautam Biswas (SMARTCOMP, 2023)

Cooperative Multi-Agent Reinforcement Learning for Large Scale Variable Speed Limit Control. - Yuhang Zhang 009; Marcos Quiñones-Grueiro; William Barbour; Zhiyao Zhang; Joshua Scherer; Gautam Biswas; Daniel B. Work (SMARTCOMP, 2023)

A Reinforcement Learning Approach for Robust Supervisory Control of UAVs Under Disturbances. - Ibrahim Ahmed 005; Marcos Quiñones-Grueiro; Gautam Biswas (CoRR, 2023)

MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits. - Yuhang Zhang 009; Marcos Quiñones-Grueiro; Zhiyao Zhang; Yanbing Wang; William Barbour; Gautam Biswas; Daniel B. Work (CoRR, 2023)

Hybrid Control Framework of UAVs Under Varying Wind and Payload Conditions. - Austin Coursey; Allan Zhang; Marcos Quiñones-Grueiro; Gautam Biswas (ACC, 2024)

Quantifying the Sim-To-Real Gap in UAV Disturbance Rejection. - Austin Coursey; Marcos Quiñones-Grueiro; Gautam Biswas (DX, 2024)

Data-Driven RUL Prediction Using Performance Metrics (Short Paper). - Abel Díaz-González; Austin Coursey; Marcos Quiñones-Grueiro; Chetan S. Kulkarni; Gautam Biswas (DX, 2024)

An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments. - Timothy Darrah; Jeremy Frank; Marcos Quiñones-Grueiro; Gautam Biswas (ICAART (1), 2024)

Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers. - Yuhang Zhang 009; Zhiyao Zhang; Marcos Quiñones-Grueiro; William Barbour; Clay Weston; Gautam Biswas; Daniel B. Work (ITSC, 2024)

Phase Re-Service in Reinforcement Learning Traffic Signal Control. - Zhiyao Zhang; George Gunter; Marcos Quiñones-Grueiro; Yuhang Zhang 009; William Barbour; Gautam Biswas; Daniel B. Work (ITSC, 2024)

FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection. - Austin Coursey; Junyi Ji; Marcos Quiñones-Grueiro; William Barbour; Yuhang Zhang 009; Tyler Derr; Gautam Biswas; Daniel B. Work (NeurIPS, 2024)

MARVEL: Bringing Multi-Agent Reinforcement- Learning Based Variable Speed Limit Controllers Closer to Deployment. - Yuhang Zhang 009; Marcos Quiñones-Grueiro; Zhiyao Zhang; Yanbing Wang; William Barbour; Gautam Biswas; Daniel B. Work (IEEE Access, 2024)

Improving Computational Cost of Bayesian Optimization for Controller Tuning with a Multi-stage Tuning Framework. - Marlon J. Ares Milián; Gregory M. Provan; Marcos Quiñones-Grueiro (CoRR, 2024)

Real-Time Freeway Traffic Anomalous Event Detection System via Radar Detector Sensors. - Austin Coursey; Junyi Ji; Zhiyao Zhang; William Barbour; Marcos Quiñones-Grueiro; Tyler Derr; Gautam Biswas; Daniel B. Work (ICCPS, 2025)

1000DaySim: Open-Source Traffic Simulation With Real Data Over Long Time Horizons. - Zhiyao Zhang; Yuhang Zhang 009; Marcos Quiñones-Grueiro; William Barbour; Gautam Biswas; Daniel B. Work (ICCPS, 2025)

Towards Automated Controller Parameter Design in Cyber-Physical Systems: Improving Computational Cost. - Marlon J. Ares Milián; Gregory M. Provan; Marcos Quiñones-Grueiro (SMARTCOMP, 2025)

On the Design of Safe Continual RL Methods for Control of Nonlinear Systems. - Austin Coursey; Marcos Quiñones-Grueiro; Gautam Biswas (CoRR, 2025)

Real-World Deployment and Assessment of a Multi-Agent Reinforcement Learning-Based Variable Speed Limit Control System. - Yuhang Zhang 009; Zhiyao Zhang; Junyi Ji; Marcos Quiñones-Grueiro; William Barbour; Derek Gloudemans; Gergely Zachár; Clay Weston; Gautam Biswas; Daniel B. Work (CoRR, 2025)