I am currently a Research Assistant Professor at the University of
Colorado Boulder. Before that, I was a Postdoctoral Research Fellow in the Decision and Control
Laboratory at the Georgia Institute of Technology working with Sam
Coogan and a Postdoctoral Research Fellow with the
Center for Control, Dynamical Systems, and Computation at the
University of California, Santa Barbara, working with
Francesco Bullo. I did my PhD in the Department of Mathematics and Statistics at Queen's
University under supervison of Andrew
Lewis.
Links: Google Scholar, Scopus,
IEEE Xplore,
Orcid ID: 0000-0002-7614-2940,
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July 2023: Our paper Contraction-guided adaptive partitioning for reachability analysis of neural network controlled systems is accepted
for presentation at 62th IEEE Conference on Decision and Control
in Marina Bay Sands, Singapore!
Mar. 2023: Our paper Interval Reachability of Nonlinear Dynamical
Systems with Neural Network Controllers is accepted
at 5th Annual Learning for Dynamics
and Control Conference (L4DC)!
Oct. 2022: Our preprint Monotonicity and contraction on polyhedral cones is available on arXiv!
Aug. 2022: Our recent preprint on "network critical slowing
down" is
available on arXiv: Network critical slowing down: Data-driven
detection of critical transitions in nonlinear
networks. This is a joint work with Mohammad Pirani.
Aug. 2022: Our paper Comparative Analysis of Interval Reachability for
Robust Implicit and Feedforward Neural Networks is accepted
for presentation at 61th IEEE Conference on Decision and Control
in Cancun, Mexico!
Aug. 2022: Our paper Non-Euclidean Monotone Operator Theory with
Applications to Recurrent Neural Networks is accepted
for presentation at 61th IEEE Conference on Decision and Control
in Cancun, Mexico!
Jun. 2022: Our paper Robust Training and Verification of Implicit Neural
Networks: a non-Euclidean Contractive Approach is accepted
for poster presentation at the ICML workshop on Formal
Verification of Machine Learning (WFVML 2022) in Baltimore, Maryland!
Mar 2022: Our work Robustness Certificates for Implicit Neural
Networks: A Mixed Monotone Contractive Approach is accepted
at 4th Learning for Dynamics
and Control Conference (Oral Presentation: Top 10 precent
of submitted papers)
Jan 2022: Our work Resilience of Input Metering in Dynamic Flow
Networks is accepted for presentation at 2022 American Control Conference
(ACC) in Atlanta!
Sep 2021: Our paper,
Robust Implicit Networks via Non-Euclidean Contractions is
accepted in NeurIPS 2021!.
Jul 2021: Our paper, Distributed
and Time-Varying Primal-Dual Dynamics via Contraction
Analysis, is accepted for publication in IEEE Transactions on
Automatic Control.
Jul 2021: Our paper,
From Contraction Theory to Fixed Point Algorithms on Riemannian and
non-Euclidean Spaces, is accepted for 60th IEEE Conference on Decision and Control!
Apr 2021: We posted two manuscripts on arXiv:
Non-Euclidean Contraction Theory for Robust Nonlinear Stability and
Non-Euclidean Contraction Theory for Monotone and Positive Systems.
Apr 2021: Our paper,
Flow and Elastic Networks on the n-Torus: Geometry, Analysis and
Computation, is accepted for publication in SIAM Review, Research Spotlight.
Mar 2021: Our paper,
Singular Perturbation and Small-signal Stability for Inverter Networks, is accepted for publication in IEEE Transactions on Control of
Network Systems.
Mar 2021: Our paper,
Weak and Semi-Contraction for Network Systems and Diffusively-Coupled
Oscillators, is accepted for publication in IEEE Transactions on Automatic Control.
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