Mahdi Imani

Nathaniel D. Bastian

Proceedings of the IEEE Military Communications Conference, 2025

Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments.

[BibT_eX]

[DOI]

Yuxi Wang

Peng Wu

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes.

[BibT_eX]

[DOI]

Nathaniel D. Bastian

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Probabilistic Verification of Cybersickness in Virtual Reality Through Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Mixed and Augmented Reality, 2025

Adversarial Decoy Placement for Strategic State Perturbations in Artificial Intelligence Driven Defense.

[BibT_eX]

[DOI]

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

Game-Theoretic Defense Policy for Network Security Against Intelligent Adversary.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

Deep Reinforcement Learning for Intervention of Partially Observable Regulatory Networks.

[BibT_eX]

[DOI]

Proceedings of the 2025 American Control Conference, 2025

Pareto-Optimal Interventions in Gene Regulatory Networks using Signal Temporal Logic.

[BibT_eX]

[DOI]

Derya Aksaray

Proceedings of the 2025 American Control Conference, 2025

Universal Adversarial Perturbations for Two-Stage Black-Box Object Detectors.

[BibT_eX]

[DOI]

Proceedings of the 59th Asilomar Conference on Signals, 2025

Decision-Theoretic Learning of Human Perception in Uncertain Environments.

[BibT_eX]

[DOI]

Proceedings of the 59th Asilomar Conference on Signals, 2025

Learning to Collaborate with Unknown Agents in the Absence of Reward.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Optimal Inference of Hidden Markov Models Through Expert-Acquired Data.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., August, 2024

Modeling Defensive Response of Cells to Therapies: Equilibrium Interventions for Regulatory Networks.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Bayesian Lookahead Perturbation Policy for Inference of Regulatory Networks.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

An optimal Bayesian intervention policy in response to unknown dynamic cell stimuli.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Optimal Joint Defense and Monitoring for Networks Security under Uncertainty: A POMDP-Based Approach.

[BibT_eX]

[DOI]

IET Inf. Secur., 2024

Bayesian reinforcement learning for navigation planning in unknown environments.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2024

Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information.

[BibT_eX]

[DOI]

Zuyuan Zhang

CoRR, 2024

Collaborative AI Teaming in Unknown Environments via Active Goal Deduction.

[BibT_eX]

[DOI]

CoRR, 2024

Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning.

[BibT_eX]

[DOI]

Yang Ni

Danny Abraham

Mariam Issa

Alejandro Hernández-Cano

Pietro Mercati

Mohsen Imani

IEEE Access, 2024

Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data.

[BibT_eX]

[DOI]

Yongsheng Mei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

High-Level Human Intention Learning for Cooperative Decision-Making.

[BibT_eX]

[DOI]

Yuxin Lin

Proceedings of the IEEE Conference on Control Technology and Applications, 2024

Dynamic Intervention in Gene Regulatory Networks: A Partially Observed Zero-Sum Markov Game.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Control Technology and Applications, 2024

Bayesian Optimization for State and Parameter Estimation of Dynamic Networks with Binary Space.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Control Technology and Applications, 2024

Implicit Human Perception Learning in Complex and Unknown Environments.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

Optimal Detection for Bayesian Attack Graphs Under Uncertainty in Monitoring and Reimaging.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

Adversarial Inverse Learning of Defense Policies Conditioned on Human Factor Models.

[BibT_eX]

[DOI]

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

Optimal monitoring and attack detection of networks modeled by Bayesian attack graphs.

[BibT_eX]

[DOI]

Cybersecur., December, 2023

Optimal Recursive Expert-Enabled Inference in Regulatory Networks.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Structure-Based Inverse Reinforcement Learning for Quantification of Biological Knowledge.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Artificial Intelligence, 2023

Learning to Fight Against Cell Stimuli: A Game Theoretic Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Artificial Intelligence, 2023

A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Reinforcement Learning Data-Acquiring for Causal Inference of Regulatory Networks.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2023

2022

Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Bayesian Optimization for Expensive Smooth-Varying Functions.

[BibT_eX]

[DOI]

Mohsen Imani

IEEE Intell. Syst., 2022

A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions.

[BibT_eX]

[DOI]

CoRR, 2022

Inference of Regulatory Networks Through Temporally Sparse Data.

[BibT_eX]

[DOI]

CoRR, 2022

BioHD: an efficient genome sequence search platform using HyperDimensional memorization.

[BibT_eX]

[DOI]

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

HDPG: hyperdimensional policy-based reinforcement learning for continuous control.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty.

[BibT_eX]

[DOI]

Mohsen Imani

Proceedings of the American Control Conference, 2022

2021

Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems.

[BibT_eX]

[DOI]

J. Comput. Inf. Sci. Eng., 2021

Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2021

Adaptive Real-Time Filter for Partially-Observed Boolean Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Partially-Observed Discrete Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the 2021 American Control Conference, 2021

2020

Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems.

[BibT_eX]

[DOI]

Arghavan Bahadorinejad

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Boolean Kalman filter and smoother under model uncertainty.

[BibT_eX]

[DOI]

Autom., 2020

Bayesian Optimization Objective-Based Experimental Design.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

2019

Point-Based Methodology to Monitor and Control Gene Regulatory Networks via Noisy Measurements.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2019

Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Offline Fault Detection in Gene Regulatory Networks using Next-Generation Sequencing Data.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models.

[BibT_eX]

[DOI]

Douglas L. Allaire

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Control of Gene Regulatory Networks With Noisy Measurements and Uncertain Inputs.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2018

Gene regulatory network state estimation from arbitrary correlated measurements.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2018

Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty.

[BibT_eX]

[DOI]

Roozbeh Dehghannasiri

CoRR, 2018

Finite-horizon LQR controller for partially-observed Boolean dynamical systems.

[BibT_eX]

[DOI]

Autom., 2018

Particle filters for partially-observed Boolean dynamical systems.

[BibT_eX]

[DOI]

Autom., 2018

Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty.

[BibT_eX]

[DOI]

Ehsan Hajiramezanali

Xiaoning Qian

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Optimal Control of Gene Regulatory Networks with Unknown Cost Function.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems.

[BibT_eX]

[DOI]

Levi D. McClenny

BMC Bioinform., 2017

Boolean Kalman Filter with correlated observation noise.

[BibT_eX]

[DOI]

Levi D. McClenny

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multiple Model Adaptive controller for Partially-Observed Boolean Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

Nonstationary linear discriminant analysis.

[BibT_eX]

[DOI]

Shuilian Xie

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Optimal finite-horizon sensor selection for Boolean Kalman Filter.

[BibT_eX]

[DOI]

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Point-based value iteration for partially-observed Boolean dynamical systems with finite observation space.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

State-feedback control of Partially-Observed Boolean Dynamical Systems using RNA-seq time series data.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2015

Optimal state estimation for boolean dynamical systems using a boolean Kalman smoother.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation.

[BibT_eX]

[DOI]