Robust Particle Filters for Fatigue Crack Growth Estimation in Rotorcraft Structures. - Mulugeta A. Haile; Jaret C. Riddick; Abey H. Assefa (IEEE Trans. Reliab., 2016)

Robustifying the Kalman Filter Against Measurement Outliers: An Innovation Saturation Mechanism. - Huazhen Fang; Mulugeta A. Haile; Yebin Wang (CDC, 2018)

Nonlinear Bayesian estimation: from Kalman filtering to a broader horizon. - Huazhen Fang; Ning Tian; Yebin Wang; MengChu Zhou; Mulugeta A. Haile (IEEE CAA J. Autom. Sinica, 2018)

Ballistic Trajectory Estimation Using Polynomial Chaos Based Square Root Ensemble Filter. - Tao Sun; Ruixin Niu; Mulugeta A. Haile (FUSION, 2019)

Deep Multimodal Transfer-Learned Regression in Data-Poor Domains. - Levi D. McClenny; Mulugeta A. Haile; Vahid Attari; Brian M. Sadler; Ulisses M. Braga-Neto; Raymundo Arróyave (CoRR, 2020)

SSUE: Simultaneous State and Uncertainty Estimation for Dynamical Systems. - Hang Geng; Mulugeta A. Haile; Huazhen Fang (CoRR, 2020)

Adaptable Hamiltonian neural networks. - Chen-Di Han; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2021)

Tomography of time-dependent quantum spin networks with machine learning. - Chen-Di Han; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2021)

Joint Parameter Discovery and Generative Modeling of Dynamic Systems. - Gregory Barber; Mulugeta A. Haile; Tzikang Chen (CoRR, 2021)

TensorDiffEq: Scalable Multi-GPU Forward and Inverse Solvers for Physics Informed Neural Networks. - Levi D. McClenny; Mulugeta A. Haile; Ulisses M. Braga-Neto (CoRR, 2021)

Physical Constraint Embedded Neural Networks for inference and noise regulation. - Gregory Barber; Mulugeta A. Haile; Tzikang Chen (CoRR, 2021)

Underwater Acoustic Communication Channel Modeling Using Reservoir Computing. - Oluwaseyi Onasami; Ming Feng; Hao Xu 002; Mulugeta A. Haile; Lijun Qian (IEEE Access, 2022)

Implicit particle filtering via a bank of nonlinear Kalman filters. - Iman Askari; Mulugeta A. Haile; Xuemin Tu; Huazhen Fang (Autom., 2022)

Implicit Particle Filtering via a Bank of Nonlinear Kalman Filters. - Iman Askari; Mulugeta A. Haile; Xuemin Tu; Huazhen Fang (CoRR, 2022)

A Model for Perimeter-Defense Problems with Heterogeneous Teams. - Christopher D. Hsu; Mulugeta A. Haile; Pratik Chaudhari (CoRR, 2022)

Digital twins of nonlinear dynamical systems. - Ling-Wei Kong; Yang Weng; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2022)

Robust Extended Kalman Filtering for Systems With Measurement Outliers. - Huazhen Fang; Mulugeta A. Haile; Yebin Wang (IEEE Trans. Control. Syst. Technol., 2022)

Model-free tracking control of complex dynamical trajectories with machine learning. - Zheng-Meng Zhai; Mohammadamin Moradi; Ling-Wei Kong; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2023)

Machine-learning parameter tracking with partial state observation. - Zheng-Meng Zhai; Mohammadamin Moradi; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2023)

A Model for Multi-Agent Heterogeneous Interaction Problems. - Christopher D. Hsu; Mulugeta A. Haile; Pratik Chaudhari (ACC, 2024)

Machine-learning prediction of tipping and collapse of the Atlantic Meridional Overturning Circulation. - Shirin Panahi; Ling-Wei Kong; Mohammadamin Moradi; Zheng-Meng Zhai; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2024)

Learning to learn ecosystems from limited data - a meta-learning approach. - Zheng-Meng Zhai; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2024)

Unsupervised learning for anticipating critical transitions. - Shirin Panahi; Ling-Wei Kong; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2025)

Deep Temporal Convolutional Network for Multisensory Fusion With Imbalanced Data of Flight Regime Recognition. - Celso T. do Cabo; Adam Krzywosz; Meng Ma; Zhu Mao; Tzikang Chen; Mulugeta A. Haile (IEEE Trans. Aerosp. Electron. Syst., 2025)