| 2026 | INFOCOM | ACDZero: Graph-Embedding-Based Tree Search for Mastering Automated Cyber Defense. | Yu Li, Sizhe Tang, Rongqian Chen, Fei Xu Yu, Guangyu Jiang, Mahdi Imani, Nathaniel D. Bastian, Tian Lan |
| 2025 | AAAI | Learning to Collaborate with Unknown Agents in the Absence of Reward. | Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan |
| 2025 | ACSSC | Decision-Theoretic Learning of Human Perception in Uncertain Environments. | Mohammad Alali, Tian Lan, Seyede Fatemeh Ghoreishi, Mahdi Imani |
| 2025 | ACSSC | Universal Adversarial Perturbations for Two-Stage Black-Box Object Detectors. | Peng Wu, Amidu Kamara, Mohsen Imani, Nathaniel D. Bastian, Mahdi Imani |
| 2025 | ISMAR | Probabilistic Verification of Cybersickness in Virtual Reality Through Bayesian Networks. | Peng Wu, Nasim Ahmed, Abhiram Sarma, Kaiming Huang, Rifatul Islam, Bin Li, Tian Lan, Gang Tan, Mahdi Imani |
| 2025 | MOBIHOC | Demo: Perception Graph for Cognitive Attack Reasoning in Augmented Reality. | Rongqian Chen, Shu Hong, Rifatul Islam, Mahdi Imani, Gang Tan, Tian Lan |
| 2025 | MOBIHOC | Poster: Time-Aware LSTM for Gaze Prediction in Mixed Reality Under Latency Perturbations. | Shu Hong, Rongqian Chen, Rifatul Islam, Mahdi Imani, Gang Tan, Tian Lan |
| 2025 | MOBIHOC | Validating Safety Guarantees of LSTM Models in MR Context. | Kaiming Huang, Peng Wu, Mahdi Imani, Tian Lan, Gang Tan |
| 2025 | MOBIHOC | Personalized Bayesian Networks for Cybersickness Prediction in Virtual Reality. | Peng Wu, Nasim Ahmed, Kaiming Huang, Rifatul Islam, Tian Lan, Gang Tan, Mahdi Imani |
| 2024 | ACSSC | Adversarial Inverse Learning of Defense Policies Conditioned on Human Factor Models. | Amirhossein Ravari, Guangyu Jiang, Zuyuan Zhang, Mahdi Imani, Robert H. Thomson, Aryn A. Pyke, Nathaniel D. Bastian, Tian Lan |
| 2024 | ICLR | Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. | Yongsheng Mei, Mahdi Imani, Tian Lan |
| 2023 | ECAI | A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. | Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam |
| 2022 | DAC | HDPG: hyperdimensional policy-based reinforcement learning for continuous control. | Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani |
| 2022 | ISCA | 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 |
| 2021 | ICASSP | Adaptive Real-Time Filter for Partially-Observed Boolean Dynamical Systems. | Mahdi Imani, Seyede Fatemeh Ghoreishi |
| 2019 | AAAI | 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 |
| 2019 | ACSSC | Offline Fault Detection in Gene Regulatory Networks using Next-Generation Sequencing Data. | Seyede Fatemeh Ghoreishi, Mahdi Imani |
| 2017 | ACSSC | Optimal finite-horizon sensor selection for Boolean Kalman Filter. | Mahdi Imani, Ulisses M. Braga-Neto |
| 2017 | ACSSC | Nonstationary linear discriminant analysis. | Shuilian Xie, Mahdi Imani, Edward R. Dougherty, Ulisses M. Braga-Neto |
| 2017 | ICASSP | Boolean Kalman Filter with correlated observation noise. | Levi D. McClenny, Mahdi Imani, Ulisses M. Braga-Neto |
| 2015 | ACSSC | Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation. | Mahdi Imani, Ulisses M. Braga-Neto |