Design of a Discrete Time Observer for the Continuous Time Rotation Kinematics on SO(3). - Soham Shanbhag; Ravi N. Banavar (CoRR, 2019)

Globally exponentially convergent observer for the rigid body system on SE(3). - Soham Shanbhag; Dong Eui Chang (CDC, 2022)

Model-Free Unsupervised Anomaly Detection of a General Robotic System Using a Stacked LSTM and Its Application to a Fixed-Wing Unmanned Aerial Vehicle. - Jae-Hyeon Park; Soham Shanbhag; Dong Eui Chang (IROS, 2022)

Globally Convergent Observer for the Rigid Body System on SE(3) in Presence of Intermittent Measurements. - Soham Shanbhag; Dong Eui Chang (IEEE Access, 2022)

Angular velocity and linear acceleration measurement bias estimators for the rigid body system with global exponential convergence. - Soham Shanbhag; Dong Eui Chang (CoRR, 2024)

Transversally exponentially stable Euclidean space extension technique for discrete time systems. - Soham Shanbhag; Dong Eui Chang (CoRR, 2024)

Machine learning based state observer for discrete time systems evolving on Lie groups. - Soham Shanbhag; Dong Eui Chang (Eng. Appl. Artif. Intell., 2025)

Globally exponentially convergent observer for systems evolving on matrix Lie groups. - Soham Shanbhag; Dong Eui Chang (Math. Comput. Simul., 2025)

Learning High-Quality Latent Representations for Anomaly Detection and Signal Integrity Enhancement in High-Speed Signals. - Muhammad Usama; Hee-Deok Jang; Soham Shanbhag; Yoo-Chang Sung; Seung-Jun Bae; Dong Eui Chang (CoRR, 2025)