A data-driven method for quantifying the impact of a genetic circuit on its host. - Aqib Hasnain; Diveena Becker; Atsede Siba; Narendra Maheshri; Ben Gordon; Chris Voigt; Enoch Yeung; Subhrajit Sinha; Yuval Dorfan; Amin Espah Borujeni; Yongjin Park; Paul Maschhoff; et al. (BioCAS, 2019)

Koopman Operators for Generalized Persistence of Excitation Conditions for Nonlinear Systems. - Nibodh Boddupalli; Aqib Hasnain; Sai Pushpak Nandanoori; Enoch Yeung (CDC, 2019)

Optimal reporter placement in sparsely measured genetic networks using the Koopman operator. - Aqib Hasnain; Nibodh Boddupalli; Enoch Yeung (CDC, 2019)

Persistence of Excitation for Koopman Operator Represented Dynamical Systems. - Nibodh Boddupalli; Aqib Hasnain; Enoch Yeung (CoRR, 2019)

Prediction of fitness in bacteria with causal jump dynamic mode decomposition. - Shara Balakrishnan; Aqib Hasnain; Nibodh Boddupalli; Dennis M. Joshy; Robert G. Egbert; Enoch Yeung (ACC, 2020)

Steady state programming of controlled nonlinear systems via deep dynamic mode decomposition. - Aqib Hasnain; Nibodh Boddupalli; Shara Balakrishnan; Enoch Yeung (ACC, 2020)

The Effect of Sensor Fusion on Data-Driven Learning of Koopman Operators. - Shara Balakrishnan; Aqib Hasnain; Robert G. Egbert; Enoch Yeung (CoRR, 2021)

Data-Driven Observability Decomposition with Koopman Operators for Optimization of Output Functions of Nonlinear Systems. - Shara Balakrishnan; Aqib Hasnain; Robert G. Egbert; Enoch Yeung (CoRR, 2022)