Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation. - Mahdi Imani; Ulisses M. Braga-Neto (ACSSC, 2015)

Optimal state estimation for boolean dynamical systems using a boolean Kalman smoother. - Mahdi Imani; Ulisses M. Braga-Neto (GlobalSIP, 2015)

State-feedback control of Partially-Observed Boolean Dynamical Systems using RNA-seq time series data. - Mahdi Imani; Ulisses M. Braga-Neto (ACC, 2016)

Point-based value iteration for partially-observed Boolean dynamical systems with finite observation space. - Mahdi Imani; Ulisses M. Braga-Neto (CDC, 2016)

Optimal finite-horizon sensor selection for Boolean Kalman Filter. - Mahdi Imani; Ulisses M. Braga-Neto (ACSSC, 2017)

Nonstationary linear discriminant analysis. - Shuilian Xie; Mahdi Imani; Edward R. Dougherty; Ulisses M. Braga-Neto (ACSSC, 2017)

Multiple Model Adaptive controller for Partially-Observed Boolean Dynamical Systems. - Mahdi Imani; Ulisses M. Braga-Neto (ACC, 2017)

Boolean Kalman Filter with correlated observation noise. - Levi D. McClenny; Mahdi Imani; Ulisses M. Braga-Neto (ICASSP, 2017)

BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems. - Levi D. McClenny; Mahdi Imani; Ulisses M. Braga-Neto (BMC Bioinform., 2017)

Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems. - Mahdi Imani; Ulisses M. Braga-Neto (IEEE Trans. Signal Process., 2017)

Optimal Control of Gene Regulatory Networks with Unknown Cost Function. - Mahdi Imani; Ulisses M. Braga-Neto (ACC, 2018)

Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty. - Ehsan Hajiramezanali; Mahdi Imani; Ulisses M. Braga-Neto; Xiaoning Qian; Edward R. Dougherty (BCB, 2018)

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

Particle filters for partially-observed Boolean dynamical systems. - Mahdi Imani; Ulisses M. Braga-Neto (Autom., 2018)

Finite-horizon LQR controller for partially-observed Boolean dynamical systems. - Mahdi Imani; Ulisses M. Braga-Neto (Autom., 2018)

Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty. - Mahdi Imani; Roozbeh Dehghannasiri; Ulisses M. Braga-Neto; Edward R. Dougherty (CoRR, 2018)

Gene regulatory network state estimation from arbitrary correlated measurements. - Mahdi Imani; Ulisses M. Braga-Neto (EURASIP J. Adv. Signal Process., 2018)

Control of Gene Regulatory Networks With Noisy Measurements and Uncertain Inputs. - Mahdi Imani; Ulisses M. Braga-Neto (IEEE Trans. Control. Netw. Syst., 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)

Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning. - Mahdi Imani; Ulisses M. Braga-Neto (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Point-Based Methodology to Monitor and Control Gene Regulatory Networks via Noisy Measurements. - Mahdi Imani; Ulisses M. Braga-Neto (IEEE Trans. Control. Syst. Technol., 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)

Boolean Kalman filter and smoother under model uncertainty. - Mahdi Imani; Edward R. Dougherty; Ulisses M. Braga-Neto (Autom., 2020)

Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems. - Arghavan Bahadorinejad; Mahdi Imani; Ulisses M. Braga-Neto (IEEE ACM Trans. Comput. Biol. Bioinform., 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)

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

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

HDPG: hyperdimensional policy-based reinforcement learning for continuous control. - Yang Ni 001; Mariam Issa; Danny Abraham; Mahdi Imani; Xunzhao Yin; Mohsen Imani (DAC, 2022)

BioHD: an efficient genome sequence search platform using HyperDimensional memorization. - Zhuowen Zou; Hanning Chen; Prathyush Poduval; Yeseong Kim; Mahdi Imani; Elaheh Sadredini; Rosario Cammarota; Mohsen Imani (ISCA, 2022)

Inference of Regulatory Networks Through Temporally Sparse Data. - Mohammad Alali; Mahdi Imani (CoRR, 2022)

A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions. - Yongsheng Mei; Tian Lan 001; Mahdi Imani; Suresh Subramaniam 001 (CoRR, 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)

Reinforcement Learning Data-Acquiring for Causal Inference of Regulatory Networks. - Mohammad Alali; Mahdi Imani (ACC, 2023)

A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. - Yongsheng Mei; Tian Lan 001; Mahdi Imani; Suresh Subramaniam 001 (ECAI, 2023)

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

Optimal monitoring and attack detection of networks modeled by Bayesian attack graphs. - Armita Kazeminajafabadi; Mahdi Imani (Cybersecur., 2023)

Adversarial Inverse Learning of Defense Policies Conditioned on Human Factor Models. - Amirhossein Ravari; Guangyu Jiang; Zuyuan Zhang; Mahdi Imani; Robert H. Thomson 001; Aryn A. Pyke; Nathaniel D. Bastian; Tian Lan 001 (IEEECONF, 2024)

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)

Bayesian Optimization for State and Parameter Estimation of Dynamic Networks with Binary Space. - Mohammad Alali; Mahdi Imani (CCTA, 2024)

Dynamic Intervention in Gene Regulatory Networks: A Partially Observed Zero-Sum Markov Game. - Seyed Hamid Hosseini; Mahdi Imani (CCTA, 2024)

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

Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. - Yongsheng Mei; Mahdi Imani; Tian Lan 001 (ICLR, 2024)

Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning. - Yang Ni 001; Danny Abraham; Mariam Issa; Alejandro Hernández-Cano; Mahdi Imani; Pietro Mercati; Mohsen Imani (IEEE Access, 2024)

Collaborative AI Teaming in Unknown Environments via Active Goal Deduction. - Zuyuan Zhang; Hanhan Zhou; Mahdi Imani; Taeyoung Lee; Tian Lan 001 (CoRR, 2024)

Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information. - Zuyuan Zhang; Mahdi Imani; Tian Lan 001 (CoRR, 2024)

Bayesian reinforcement learning for navigation planning in unknown environments. - Mohammad Alali; Mahdi Imani (Frontiers Artif. Intell., 2024)

Optimal Joint Defense and Monitoring for Networks Security under Uncertainty: A POMDP-Based Approach. - Armita Kazeminajafabadi; Mahdi Imani (IET Inf. Secur., 2024)

An optimal Bayesian intervention policy in response to unknown dynamic cell stimuli. - Seyed Hamid Hosseini; Mahdi Imani (Inf. Sci., 2024)

Bayesian Lookahead Perturbation Policy for Inference of Regulatory Networks. - Mohammad Alali; Mahdi Imani (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Modeling Defensive Response of Cells to Therapies: Equilibrium Interventions for Regulatory Networks. - Seyed Hamid Hosseini; Mahdi Imani (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

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

Learning to Collaborate with Unknown Agents in the Absence of Reward. - Zuyuan Zhang; Hanhan Zhou; Mahdi Imani; Taeyoung Lee; Tian Lan 001 (AAAI, 2025)

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)

Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments. - Yuxi Wang; Peng Wu; Mahdi Imani (L4DC, 2025)

Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models. - Mohammad Alali; Mahdi Imani (IEEE Trans. Artif. Intell., 2025)