Chinmay Gangal
Chinmay Gangal is a PhD candidate whose research examines flow-induced crystallization (FIC) in polymers using computational methods. Specifically, he is developing computational methodologies to study the first stage of FIC, the flow-enhanced nucleation (FEN) of crystals in polymers, a process with relevance to a number of important industrial processes such as the fabrication of fibers, films, packaging, and composites. A MathWorks Fellowship will support Chinmay’s ongoing research to und ...
Nathan Ewell
Nathan Ewell is a PhD candidate whose research interests focus on aerosol filtration and developing improved respiratory PPE technology, such as facemasks and respirators, essential tools for mitigating the spread of viral diseases such as Covid-19. Specifically, Nathan is working to develop PPE tools made from electro-spun nanofiber nonwoven materials that improve efficacy, manufacturing cost, and sustainability. He has successfully demonstrated an alternative to the traditional N95 technolo ...
Lauren Clarke
Lauren Clarke is a PhD candidate whose research focuses on electrochemical methods for carbon dioxide (CO2) capture and concentration, with the goal of mitigating emissions during the transition to a carbon-constrained, renewable-energy economy. Electrochemical approaches may enable lower energy CO2 separations than current processes, as well as direct integration of renewables, modular deployment, and safer operation. A MathWorks Fellowship will enable Lauren to explore the processes that co ...
Mingxin Yu
Mingxin Yu is a PhD candidate whose research is in the fields of robotics and machine learning. As a MathWorks Fellow, Mingxin will contribute to a research program aimed at developing a learning-based method for accelerating motion planning in robot manipulation problems and will help to develop a proposed, new approach that leverages a machine learning-based control barrier functions (CBF) in safety-critical motion planning scenarios to tackle the high sampling complexity of traditional sam ...
Sunbochen Tang
Sunbochen Tang is a PhD student whose research interests are in control theory, optimization, and machine learning. Specifically, Sunbochen is developing novel learning-based approaches to control complex dynamical systems with safety guarantees. With the support of a MathWorks Fellowship and drawing on MATLAB and Simulink, he will explore data-driven control methods for safety-critical autonomous systems with uncertain dynamics. The primary objective of his work is to develop efficient contr ...
Lee Strobel
Lee Strobel is a PhD candidate whose research interests are focused on numerical modeling of physics problems, in particular those related to gas discharge and atmospheric plasma physics. In his work to date, Lee has made notable contributions to streamer discharge physics, a field of great relevance for nonthermal plasma generation, a phenomenon that appears naturally during lightning and other atmospheric electricity events and is key for applications such as plasma-assisted combustion, pla ...
Saba Shaik
Saba Shaik is a PhD candidate whose research interests concern the detailed electrochemistry that occurs in electrospray thrusters. A MathWorks Fellowship will support her work to introduce novel experimental methods to characterize these processes and collect and analyze vast amounts of data in MATLAB to develop numerical models of relevant physical phenomena. Her current efforts are centered on determining the composition (molecular and atomic) of species generated via electrochemical proce ...
Adriana Mitchell
Adriana Mitchell is a PhD candidate whose research interests are focused on space exploration, and the application of machine learning (ML) techniques to improve space-based optical navigation under variable illumination conditions during entry, descent, and landing on planetary bodies. A MathWorks Fellowship will support her ongoing project to develop terrain-relative navigation applications, drawing on MATLAB, by creating deep learning approaches for this application.
Adriana has wor ...
Wenyuan (Roger) Hou
Wenyuan (Roger) Hou is a graduate student whose research is focused on thermal modeling techniques for laser powder bed fusion, a metal additive manufacturing process. Specifically, he is using MATLAB tools to perform numerical integration on analytical solutions for point-source heat conduction to account for the dispersed nature of laser heating and the effect of latent heat during melting. With the support of a MathWorks Fellowship, Roger will continue his work to implement a module for mo ...
Ryann Hee
Ryann Hee is a PhD candidate whose research interests center on the human aspects of aerospace engineering. Her current work, supported by a MathWorks Fellowship, is a project to define the optimal design space of a micro-electrical-mechanical (MEMS) scale Stirling engine. This work is modeled using MATLAB’s Simulink software. Her previous research endeavors include studies of the neuro-vestibular response in mixed gravitational environments and the development of virtual reality applicatio ...