| Physics-Informed Particle-Based Reinforcement Learning for Autonomy in Signalized Intersections M Emamifar, SF Ghoreishi International Journal of Intelligent Transportation Systems Research, 2024 | | 2024 |
| Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems N Asadi, SF Ghoreishi ASME Journal of Computing and Information Science in Engineering (JCISE), 2024 | | 2024 |
| Privacy-Preserved Federated Reinforcement Learning for Autonomy in Signalized Intersections N Asadi, SH Hosseini, M Imani, D Aldrich, SF Ghoreishi ASCE International Conference on Transportation and Development (ICTD), 2024 | 5 | 2024 |
| Optimal Inference of Hidden Markov Models Through Expert-Acquired Data A Ravari, SF Ghoreishi, M Imani IEEE Transactions on Artificial Intelligence, 2024 | 8 | 2024 |
| Implicit human perception learning in complex and unknown environments A Ravari, SF Ghoreishi, M Imani American Control Conference (ACC), 2024 | 3 | 2024 |
| Optimal detection for Bayesian attack graphs under uncertainty in monitoring and reimaging A Kazeminajafabadi, SF Ghoreishi, M Imani 2023 American Control Conference (ACC), 2024 | 3 | 2024 |
| Uncertainty-Aware Reinforcement Learning for Safe Control of Autonomous Vehicles in Signalized Intersections M Emamifar, SF Ghoreishi IEEE Conference on Artificial Intelligence (IEEE CAI), 2023 | 2 | 2023 |
| Structure-Based Inverse Reinforcement Learning for Quantification of Biological Knowledge A Ravari, SF Ghoreishi, M Imani IEEE Conference on Artificial Intelligence (IEEE CAI), 2023 | 4 | 2023 |
| Modeling and State Estimation of Autonomous Vehicles in Signalized Intersections M Emamifar, SF Ghoreishi ASCE International Conference on Transportation & Development (ICTD), 2023 | 3 | 2023 |
| How Diverse Initial Samples Help and Hurt Bayesian Optimizers E Kamrah, SF Ghoreishi, Z Ding, J Chan, M Fuge ASME Journal of Mechanical Design (JMD), 2023 | 3 | 2023 |
| Optimal Recursive Expert-Enabled Inference in Regulatory Networks A Ravari, SF Ghoreishi, M Imani IEEE Control Systems Letters, 2023 | 11 | 2023 |
| Bayesian State Estimation in Partially-Observed Dynamic Multidisciplinary Systems N Asadi, SF Ghoreishi Frontiers in Aerospace Engineering - Intelligent Aerospace Systems, 2022 | 5 | 2022 |
| Input Distribution Estimation in Dynamic Coupled Multidisciplinary Systems N Asadi, SF Ghoreishi IEEE 56th Asilomar Conference on Signals, Systems, and Computers, 2022 | 3 | 2022 |
| Bayesian Calibration of Simulation-Based Analysis of Transportation Systems M Yousefi, SF Ghoreishi ASCE International Conference on Transportation & Development (ICTD), 2022 | | 2022 |
| Scalable Inverse Reinforcement Learning Through Multi-Fidelity Bayesian Optimization M Imani, SF Ghoreishi IEEE Transactions on Neural Networks and Learning Systems, 2022 | 61 | 2022 |
| Optimal Bayesian biomarker selection for gene regulatory networks under regulatory model uncertainty M Imani, M Imani, SF Ghoreishi 2022 American Control Conference (ACC), 1379-1385, 2022 | 3 | 2022 |
| Bayesian optimization for expensive smooth-varying functions M Imani, M Imani, SF Ghoreishi IEEE Intelligent Systems 37 (4), 44-55, 2022 | 5 | 2022 |
| Physics-Informed Modeling and Control of Multi-Actuator Soft Catheter Robots SF Ghoreishi, R Sochol, D Gandhi, A Krieger, M Fuge Frontiers in Robotics and AI, 2022 | 4 | 2022 |
| Bayesian Optimization for Design of Multi-Actuator Soft Catheter Robots SF Ghoreishi, R Sochol, D Gandhi, A Krieger, M Fuge IEEE Transactions on Medical Robotics and Bionics, 2021 | 13 | 2021 |
| Graph-based bayesian optimization for large-scale objective-based experimental design M Imani, SF Ghoreishi IEEE Transactions on Neural Networks and Learning Systems, 2021 | 24 | 2021 |
Douglas AllaireAssociate Professor, Texas A&M University在 tamu.edu 的电子邮件经过验证
