Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments. - Mahdi Imani; Seyede Fatemeh Ghoreishi; Ulisses M. Braga-Neto (NeurIPS, 2018)

MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models. - Mahdi Imani; Seyede Fatemeh Ghoreishi; Douglas L. Allaire; Ulisses M. Braga-Neto (AAAI, 2019)

Offline Fault Detection in Gene Regulatory Networks using Next-Generation Sequencing Data. - Seyede Fatemeh Ghoreishi; Mahdi Imani (ACSSC, 2019)

Sequential Information-Theoretic and Reification-Based Approach for Querying Multi-Information Sources. - Seyede Fatemeh Ghoreishi; W. D. Thomison; Douglas L. Allaire (J. Aerosp. Inf. Syst., 2019)

Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems. - Seyede Fatemeh Ghoreishi; Mahdi Imani (ACC, 2020)

Bayesian Optimization Objective-Based Experimental Design. - Mahdi Imani; Seyede Fatemeh Ghoreishi (ACC, 2020)

Partially-Observed Discrete Dynamical Systems. - Mahdi Imani; Seyede Fatemeh Ghoreishi (ACC, 2021)

Adaptive Real-Time Filter for Partially-Observed Boolean Dynamical Systems. - Mahdi Imani; Seyede Fatemeh Ghoreishi (ICASSP, 2021)

Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks. - Mahdi Imani; Seyede Fatemeh Ghoreishi (IEEE Intell. Syst., 2021)

Physics-Informed Modeling and Control of Multi-Actuator Soft Catheter Robots. - Seyede Fatemeh Ghoreishi; Ryan D. Sochol; Dheeraj Gandhi; Axel Krieger; Mark D. Fuge (Frontiers Robotics AI, 2021)

Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems. - Seyede Fatemeh Ghoreishi; Mahdi Imani (J. Comput. Inf. Sci. Eng., 2021)

Input Distribution Estimation in Dynamic Coupled Multidisciplinary Systems. - Negar Asadi; Seyede Fatemeh Ghoreishi (IEEECONF, 2022)

Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty. - Mahdi Imani; Mohsen Imani; Seyede Fatemeh Ghoreishi (ACC, 2022)

Bayesian Optimization for Expensive Smooth-Varying Functions. - Mahdi Imani; Mohsen Imani; Seyede Fatemeh Ghoreishi (IEEE Intell. Syst., 2022)

Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization. - Mahdi Imani; Seyede Fatemeh Ghoreishi (IEEE Trans. Neural Networks Learn. Syst., 2022)

Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models. - Mahdi Imani; Seyede Fatemeh Ghoreishi (IEEE Trans. Neural Networks Learn. Syst., 2022)

Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design. - Mahdi Imani; Seyede Fatemeh Ghoreishi (IEEE Trans. Neural Networks Learn. Syst., 2022)

Optimal Recursive Expert-Enabled Inference in Regulatory Networks. - Amirhossein Ravari; Seyede Fatemeh Ghoreishi; Mahdi Imani (IEEE Control. Syst. Lett., 2023)

Optimal Detection for Bayesian Attack Graphs Under Uncertainty in Monitoring and Reimaging. - Armita Kazeminajafabadi; Seyede Fatemeh Ghoreishi; Mahdi Imani (ACC, 2024)

Implicit Human Perception Learning in Complex and Unknown Environments. - Amirhossein Ravari; Seyede Fatemeh Ghoreishi; Mahdi Imani (ACC, 2024)

High-Level Human Intention Learning for Cooperative Decision-Making. - Yuxin Lin; Seyede Fatemeh Ghoreishi; Tian Lan 001; Mahdi Imani (CCTA, 2024)

Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems. - Negar Asadi; Seyede Fatemeh Ghoreishi (J. Comput. Inf. Sci. Eng., 2024)

Physics-Informed Particle-Based Reinforcement Learning for Autonomy in Signalized Intersections. - Mehrnoosh Emamifar; Seyede Fatemeh Ghoreishi (Int. J. Intell. Transp. Syst. Res., 2024)

Optimal Inference of Hidden Markov Models Through Expert-Acquired Data. - Amirhossein Ravari; Seyede Fatemeh Ghoreishi; Mahdi Imani (IEEE Trans. Artif. Intell., 2024)

Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes. - Amirhossein Ravari; Seyede Fatemeh Ghoreishi; Tian Lan 001; Nathaniel D. Bastian; Mahdi Imani (L4DC, 2025)

Efficient learning of uncertainty distributions in coupled multidisciplinary systems through sensory data. - Negar Asadi; Seyede Fatemeh Ghoreishi (IET Cyper-Phys. Syst.: Theory & Appl., 2025)