Mahdi Imani - RankMe

93 papers A* 7A 1B 4C 12Misc 6Journal 46Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACDZero: MCTS Agent for Mastering Automated Cyber Defense. CoRR Yu Li, Sizhe Tang, Rongqian Chen, Fei Xu Yu, Guangyu Jiang, Mahdi Imani, Nathaniel D. Bastian, Tian Lan
2026	J	`jnl`	Geometry of Drifting MDPs with Path-Integral Stability Certificates. CoRR Zuyuan Zhang, Mahdi Imani, Tian Lan
2026	J	`jnl`	MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation. CoRR Zeyu Fang, Tian Lan, Mahdi Imani
2026	J	`jnl`	Manifold-Constrained Energy-Based Transition Models for Offline Reinforcement Learning. CoRR Zeyu Fang, Zuyuan Zhang, Mahdi Imani, Tian Lan
2026	J	`jnl`	Reasoning Knowledge-Gap in Drone Planning via LLM-based Active Elicitation. CoRR Zeyu Fang, Beomyeol Yu, Cheng Liu, Zeyuan Yang, Rongqian Chen, Yuxin Lin, Mahdi Imani, Tian Lan
2026	J	`jnl`	Uncertainty Mitigation and Intent Inference: A Dual-Mode Human-Machine Joint Planning System. CoRR Zeyu Fang, Yuxin Lin, Cheng Liu, Beomyeol Yu, Zeyuan Yang, Rongqian Chen, Taeyoung Lee, Mahdi Imani, Tian Lan
2025	J	`jnl`	A Neurosymbolic Framework for Interpretable Cognitive Attack Detection in Augmented Reality. CoRR Rongqian Chen, Allison Andreyev, Yanming Xiu, Mahdi Imani, Bin Li, Maria Gorlatova, Gang Tan, Tian Lan
2025	J	`jnl`	A State-Space Approach to Nonstationary Discriminant Analysis. CoRR Shuilian Xie, Mahdi Imani, Edward R. Dougherty, Ulisses M. Braga-Neto
2025	—	`conf`	Adversarial Decoy Placement for Strategic State Perturbations in Artificial Intelligence Driven Defense. CDC Armita Kazeminajafabadi, Michael Everett, Tian Lan, Nathaniel D. Bastian, Mahdi Imani
2025	—	`conf`	Agentic AI for Cyber Defense: LLM-Guided Hierarchical Multi-Agent Reinforcement Learning. MILCOM Guangyu Jiang, Mahdi Imani, Nathaniel D. Bastian, Tian Lan
2025	J	`jnl`	Decentralized Reinforcement Learning for Asymmetric Gene Network Interventions. IEEE Trans. Comput. Biol. Bioinform. Seyed Hamid Hosseini, Mahdi Imani
2025	—	`conf`	Decision-Theoretic Learning of Human Perception in Uncertain Environments. IEEECONF Mohammad Alali, Tian Lan, Seyede Fatemeh Ghoreishi, Mahdi Imani
2025	J	`jnl`	Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models. IEEE Trans. Artif. Intell. Mohammad Alali, Mahdi Imani
2025	C	`conf`	Deep Reinforcement Learning for Intervention of Partially Observable Regulatory Networks. ACC Seyed Hamid Hosseini, Mahdi Imani
2025	B	`conf`	Demo: Perception Graph for Cognitive Attack Reasoning in Augmented Reality. MobiHoc Rongqian Chen, Shu Hong, Rifatul Islam, Mahdi Imani, Gang Tan, Tian Lan
2025	J	`jnl`	Draft and Refine with Visual Experts. CoRR Sungheon Jeong, Ryozo Masukawa, Jihong Park, Sanggeon Yun, Wenjun Huang, Hanning Chen, Mahdi Imani, Mohsen Imani
2025	—	`conf`	Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments. L4DC Yuxi Wang, Peng Wu, Mahdi Imani
2025	—	`conf`	Game-Theoretic Defense Policy for Network Security Against Intelligent Adversary. CASE Armita Kazeminajafabadi, Tian Lan, Mahdi Imani
2025	J	`jnl`	Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations. CoRR Shu Hong, Yongsheng Mei, Mahdi Imani, Tian Lan
2025	J	`jnl`	Human task performance and associated internal states in extended reality: a systematic review of cognitive, psychophysiological, and physiological dimensions. Frontiers Virtual Real. Nasim Ahmed, Peng Wu, Kaiming Huang, Sungchul Jung, Hansol Rheem, Gang Tan, Mahdi Imani, Rifatul Islam
2025	—	`conf`	Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes. L4DC Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Tian Lan, Nathaniel D. Bastian, Mahdi Imani
2025	A*	`conf`	Learning to Collaborate with Unknown Agents in the Absence of Reward. AAAI Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan
2025	—	`conf`	Multi-Agent Cyber Defense with Multi-Level Zero-Trust Actions. MILCOM Mahdi Imani, Tian Lan, Nathaniel D. Bastian
2025	C	`conf`	Pareto-Optimal Interventions in Gene Regulatory Networks using Signal Temporal Logic. ACC Seyed Hamid Hosseini, Derya Aksaray, Mahdi Imani
2025	J	`jnl`	Perception Graph for Cognitive Attack Reasoning in Augmented Reality. CoRR Rongqian Chen, Shu Hong, Rifatul Islam, Mahdi Imani, Gang Tan, Tian Lan
2025	B	`conf`	Personalized Bayesian Networks for Cybersickness Prediction in Virtual Reality. MobiHoc Peng Wu, Nasim Ahmed, Kaiming Huang, Rifatul Islam, Tian Lan, Gang Tan, Mahdi Imani
2025	B	`conf`	Poster: Time-Aware LSTM for Gaze Prediction in Mixed Reality Under Latency Perturbations. MobiHoc Shu Hong, Rongqian Chen, Rifatul Islam, Mahdi Imani, Gang Tan, Tian Lan
2025	A*	`conf`	Probabilistic Verification of Cybersickness in Virtual Reality Through Bayesian Networks. ISMAR Peng Wu, Nasim Ahmed, Abhiram Sarma, Kaiming Huang, Rifatul Islam, Bin Li, Tian Lan, Gang Tan, Mahdi Imani
2025	—	`conf`	Universal Adversarial Perturbations for Two-Stage Black-Box Object Detectors. IEEECONF Peng Wu, Amidu Kamara, Mohsen Imani, Nathaniel D. Bastian, Mahdi Imani
2025	B	`conf`	Validating Safety Guarantees of LSTM Models in MR Context. MobiHoc Kaiming Huang, Peng Wu, Mahdi Imani, Tian Lan, Gang Tan
2024	—	`conf`	Adversarial Inverse Learning of Defense Policies Conditioned on Human Factor Models. IEEECONF Amirhossein Ravari, Guangyu Jiang, Zuyuan Zhang, Mahdi Imani, Robert H. Thomson, Aryn A. Pyke, Nathaniel D. Bastian, Tian Lan
2024	J	`jnl`	An optimal Bayesian intervention policy in response to unknown dynamic cell stimuli. Inf. Sci. Seyed Hamid Hosseini, Mahdi Imani
2024	J	`jnl`	Bayesian Lookahead Perturbation Policy for Inference of Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Mohammad Alali, Mahdi Imani
2024	—	`conf`	Bayesian Optimization for State and Parameter Estimation of Dynamic Networks with Binary Space. CCTA Mohammad Alali, Mahdi Imani
2024	A*	`conf`	Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. ICLR Yongsheng Mei, Mahdi Imani, Tian Lan
2024	J	`jnl`	Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. CoRR Yongsheng Mei, Mahdi Imani, Tian Lan
2024	J	`jnl`	Bayesian reinforcement learning for navigation planning in unknown environments. Frontiers Artif. Intell. Mohammad Alali, Mahdi Imani
2024	J	`jnl`	Collaborative AI Teaming in Unknown Environments via Active Goal Deduction. CoRR Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan
2024	—	`conf`	Dynamic Intervention in Gene Regulatory Networks: A Partially Observed Zero-Sum Markov Game. CCTA Seyed Hamid Hosseini, Mahdi Imani
2024	J	`jnl`	Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning. IEEE Access Yang Ni, Danny Abraham, Mariam Issa, Alejandro Hernández-Cano, Mahdi Imani, Pietro Mercati, Mohsen Imani
2024	—	`conf`	High-Level Human Intention Learning for Cooperative Decision-Making. CCTA Yuxin Lin, Seyede Fatemeh Ghoreishi, Tian Lan, Mahdi Imani
2024	C	`conf`	Implicit Human Perception Learning in Complex and Unknown Environments. ACC Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Mahdi Imani
2024	J	`jnl`	Modeling Defensive Response of Cells to Therapies: Equilibrium Interventions for Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Seyed Hamid Hosseini, Mahdi Imani
2024	J	`jnl`	Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information. CoRR Zuyuan Zhang, Mahdi Imani, Tian Lan
2024	C	`conf`	Optimal Detection for Bayesian Attack Graphs Under Uncertainty in Monitoring and Reimaging. ACC Armita Kazeminajafabadi, Seyede Fatemeh Ghoreishi, Mahdi Imani
2024	J	`jnl`	Optimal Inference of Hidden Markov Models Through Expert-Acquired Data. IEEE Trans. Artif. Intell. Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Mahdi Imani
2024	J	`jnl`	Optimal Joint Defense and Monitoring for Networks Security under Uncertainty: A POMDP-Based Approach. IET Inf. Secur. Armita Kazeminajafabadi, Mahdi Imani
2023	A	`conf`	A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. ECAI Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
2023	—	`conf`	Learning to Fight Against Cell Stimuli: A Game Theoretic Perspective. CAI Seyed Hamid Hosseini, Mahdi Imani
2023	J	`jnl`	Optimal Recursive Expert-Enabled Inference in Regulatory Networks. IEEE Control. Syst. Lett. Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Mahdi Imani
2023	J	`jnl`	Optimal monitoring and attack detection of networks modeled by Bayesian attack graphs. Cybersecur. Armita Kazeminajafabadi, Mahdi Imani
2023	C	`conf`	Reinforcement Learning Data-Acquiring for Causal Inference of Regulatory Networks. ACC Mohammad Alali, Mahdi Imani
2023	—	`conf`	Structure-Based Inverse Reinforcement Learning for Quantification of Biological Knowledge. CAI Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Mahdi Imani
2022	J	`jnl`	A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions. CoRR Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
2022	J	`jnl`	Bayesian Optimization for Expensive Smooth-Varying Functions. IEEE Intell. Syst. Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi
2022	A*	`conf`	BioHD: an efficient genome sequence search platform using HyperDimensional memorization. ISCA Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini, Rosario Cammarota, Mohsen Imani
2022	J	`jnl`	Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design. IEEE Trans. Neural Networks Learn. Syst. Mahdi Imani, Seyede Fatemeh Ghoreishi
2022	A*	`conf`	HDPG: hyperdimensional policy-based reinforcement learning for continuous control. DAC Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani
2022	J	`jnl`	Inference of Regulatory Networks Through Temporally Sparse Data. CoRR Mohammad Alali, Mahdi Imani
2022	C	`conf`	Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty. ACC Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi
2022	J	`jnl`	Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization. IEEE Trans. Neural Networks Learn. Syst. Mahdi Imani, Seyede Fatemeh Ghoreishi
2022	J	`jnl`	Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models. IEEE Trans. Neural Networks Learn. Syst. Mahdi Imani, Seyede Fatemeh Ghoreishi
2021	Misc	`conf`	Adaptive Real-Time Filter for Partially-Observed Boolean Dynamical Systems. ICASSP Mahdi Imani, Seyede Fatemeh Ghoreishi
2021	J	`jnl`	Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems. J. Comput. Inf. Sci. Eng. Seyede Fatemeh Ghoreishi, Mahdi Imani
2021	J	`jnl`	Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks. IEEE Intell. Syst. Mahdi Imani, Seyede Fatemeh Ghoreishi
2021	C	`conf`	Partially-Observed Discrete Dynamical Systems. ACC Mahdi Imani, Seyede Fatemeh Ghoreishi
2020	J	`jnl`	Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems. IEEE ACM Trans. Comput. Biol. Bioinform. Arghavan Bahadorinejad, Mahdi Imani, Ulisses M. Braga-Neto
2020	C	`conf`	Bayesian Optimization Objective-Based Experimental Design. ACC Mahdi Imani, Seyede Fatemeh Ghoreishi
2020	C	`conf`	Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems. ACC Seyede Fatemeh Ghoreishi, Mahdi Imani
2020	J	`jnl`	Boolean Kalman filter and smoother under model uncertainty. Autom. Mahdi Imani, Edward R. Dougherty, Ulisses M. Braga-Neto
2019	J	`jnl`	Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Mahdi Imani, Ulisses M. Braga-Neto
2019	A*	`conf`	MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models. AAAI Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas L. Allaire, Ulisses M. Braga-Neto
2019	Misc	`conf`	Offline Fault Detection in Gene Regulatory Networks using Next-Generation Sequencing Data. ACSSC Seyede Fatemeh Ghoreishi, Mahdi Imani
2019	J	`jnl`	Point-Based Methodology to Monitor and Control Gene Regulatory Networks via Noisy Measurements. IEEE Trans. Control. Syst. Technol. Mahdi Imani, Ulisses M. Braga-Neto
2018	A*	`conf`	Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments. NeurIPS Mahdi Imani, Seyede Fatemeh Ghoreishi, Ulisses M. Braga-Neto
2018	J	`jnl`	Control of Gene Regulatory Networks With Noisy Measurements and Uncertain Inputs. IEEE Trans. Control. Netw. Syst. Mahdi Imani, Ulisses M. Braga-Neto
2018	J	`jnl`	Finite-horizon LQR controller for partially-observed Boolean dynamical systems. Autom. Mahdi Imani, Ulisses M. Braga-Neto
2018	J	`jnl`	Gene regulatory network state estimation from arbitrary correlated measurements. EURASIP J. Adv. Signal Process. Mahdi Imani, Ulisses M. Braga-Neto
2018	C	`conf`	Optimal Control of Gene Regulatory Networks with Unknown Cost Function. ACC Mahdi Imani, Ulisses M. Braga-Neto
2018	J	`jnl`	Particle filters for partially-observed Boolean dynamical systems. Autom. Mahdi Imani, Ulisses M. Braga-Neto
2018	—	`conf`	Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty. BCB Ehsan Hajiramezanali, Mahdi Imani, Ulisses M. Braga-Neto, Xiaoning Qian, Edward R. Dougherty
2018	J	`jnl`	Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty. CoRR Mahdi Imani, Roozbeh Dehghannasiri, Ulisses M. Braga-Neto, Edward R. Dougherty
2017	J	`jnl`	BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems. BMC Bioinform. Levi D. McClenny, Mahdi Imani, Ulisses M. Braga-Neto
2017	Misc	`conf`	Boolean Kalman Filter with correlated observation noise. ICASSP Levi D. McClenny, Mahdi Imani, Ulisses M. Braga-Neto
2017	J	`jnl`	Control of Gene Regulatory Networks with Noisy Measurements and Uncertain Inputs. CoRR Mahdi Imani, Ulisses M. Braga-Neto
2017	J	`jnl`	Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems. IEEE Trans. Signal Process. Mahdi Imani, Ulisses M. Braga-Neto
2017	C	`conf`	Multiple Model Adaptive controller for Partially-Observed Boolean Dynamical Systems. ACC Mahdi Imani, Ulisses M. Braga-Neto
2017	Misc	`conf`	Nonstationary linear discriminant analysis. ACSSC Shuilian Xie, Mahdi Imani, Edward R. Dougherty, Ulisses M. Braga-Neto
2017	Misc	`conf`	Optimal finite-horizon sensor selection for Boolean Kalman Filter. ACSSC Mahdi Imani, Ulisses M. Braga-Neto
2016	—	`conf`	Point-based value iteration for partially-observed Boolean dynamical systems with finite observation space. CDC Mahdi Imani, Ulisses M. Braga-Neto
2016	C	`conf`	State-feedback control of Partially-Observed Boolean Dynamical Systems using RNA-seq time series data. ACC Mahdi Imani, Ulisses M. Braga-Neto
2015	Misc	`conf`	Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation. ACSSC Mahdi Imani, Ulisses M. Braga-Neto
2015	—	`conf`	Optimal state estimation for boolean dynamical systems using a boolean Kalman smoother. GlobalSIP Mahdi Imani, Ulisses M. Braga-Neto