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 ...

Chloe Gentgen

Chloe Gentgen is a PhD candidate whose research focuses on developing critical capabilities to support space exploration, including mission architecture, propulsion systems, and in-situ resource utilization. Her notable achievements include a successful demonstration of in-space refueling through a microgravity experiment; leading MIT’s winning team in the RASC-AL 2022 challenge to design an architecture for propellant production on Mars; and working on a NASA mission proposal to explore En ...

Mary Dahl

Mary Dahl is a PhD candidate whose research interests involve using artificial intelligence to optimize CubeSat (small satellite) data collection, autonomous systems for the safe, on-orbit assembly of small satellites, and systems engineering for CubeSat missions. A MathWorks Fellowship will support Mary’s work to develop technologies for more effective data collection in space. Her current project is focused on the design of CubeSats for orbital wildfire prediction by integrating powerline ...

Jasmine Jerry Aloor

Jasmine Jerry Aloor is a PhD candidate in robotics, aerospace engineering, and artificial intelligence whose research seeks to address the challenge of balancing efficiency and fairness in multi-agent teams using reinforcement learning. As a MathWorks Fellow, Jasmine will pursue research exploring motion planning and control for dynamic multi-agent systems, with a special emphasis on safety, robustness, and human interactivity. Jasmine’s past research endeavors include work in imitation lea ...