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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
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publications
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects
Published in SIAM Journal on Applied Dynamical Systems, 2022
As data-driven modeling continues to gain momentum, it is imperative that researchers utilize domain knowledge (e.g., first principles physics) to model complex systems. However, in all disciplines, model- measurement mismatch exists. The lack of investigation into this error leaves the missed opportunity to resolve model-measurement mismatch, disambiguate deterministic effects, and improve the underlying model.
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Universal Dynamics of Damped-Driven Systems: The Logistic Map as a Normal Form for Energy Balance
Published in arXiv, 2022
The characterization of the underlying instability has significant implications for engineering design. Specifically, instead of engineering at the level of the complex physical processes, one should instead consider the potential for engineering the overall gain and loss curves.
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A machine learning approach to quantify individual gait responses to ankle exoskeletons
Published in Journal of Biomechanics, 2023
Discrepancy modeling is a unique and innovative tool that complements current biomechanical modeling approaches and may accelerate the discovery of individual-specific mechanisms driving responses to exoskeletons, other assistive devices, and clinical interventions.
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Leveraging arbitrary mobile sensor trajectories with shallow recurrent decoder networks for full-state reconstruction
Published in arXiv, 2023
The time-history of mobile sensors can be used to encode global information of the measured high-dimensional state space.
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Human motion data expansion from arbitrary sparse sensors with shallow recurrent decoders
Published in bioRxiv, 2024
By using shallow recurrent decoder networks to expand datasets of human motion, wearable sensors could be used for more continuous and less intrusive monitoring of human motion in natural environments.
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.