Yang Zhong
Yang Zhong is a PhD candidate whose broad research interests in thermal sciences encompass atmospheric water harvesting, thermal management of 2-D electronics, and machine learning for boiling. With the support of a MathWorks Fellowship, Yang is currently working on the fundamental water adsorption and engineering design of atmospheric water harvesting devices. Specifically, he is advancing a concept to harvest water in the atmosphere based on the principle of adsorption. By using the tempera ...
Haiqian Yang
Haiqian Yang is a PhD candidate whose research seeks to broaden understanding of the basic principles governing multicellular system dynamics in space and time. This knowledge is essential to advancing a wide variety of health and bioengineering applications, including tissue regeneration, suppression of tumor invasion, and control of embryo morphogenesis. Haiqian’s work utilizes cutting-edge optical tools to study the spatial and temporal organization of multicellular systems and to explor ...
Reimar Weissbach
Reimar Weissbach is a PhD candidate, as well as an MBA candidate through MIT Leaders for Global Operations, whose research applies innovative computation approaches in combination with experimental techniques to advance the field of additive manufacturing (AM). Specifically, Reimar investigates the role of particle adhesion in the spreading of thin powder layers used in metal 3-D printing. As a MathWorks Fellow, he will pursue an ambitious project to apply numerical modeling to all stages of ...
Eric Kevin Wang
Eric Kevin Wang is PhD candidate whose research in the field of robotics seeks to develop new techniques to make autonomous robotic manipulation more efficient and rich. Specifically, Eric is developing new planning algorithms for dynamic non-prehensile manipulation, which offers advantages in applications where object size, geometry, and surface properties are uncertain and quasistatic motions limit the solution space of complex transport tasks. With the support of a MathWorks Fellowship, Er ...
Wenhui Tang
Wenhui Tang is a PhD candidate whose research seeks to provide new understandings of cell behaviors in biological systems from physical and mechanical perspectives. With the support of her second MathWorks Fellowship, Wenhui will pursue a project focused on understanding the mechanics of development and growth of human lung alveolar systems in 3-D. Utilizing images collected by a confocal microscope, and MATLAB tools for computation, modeling, and data processing, she will study collective ce ...
Rachel Sun
Rachel Sun is a master’s candidate whose research applies innovative computation tools in the development of new nanofabrication techniques. Supported by a MathWorks seed grant, Rachel developed a groundbreaking fabrication method for microscale magnetic metamaterials with tunable properties, actuated by magnetic fields using a nanoscale 3-D printer. As a MathWorks Fellow, Rachel will continue to explore properties and fabrication approaches for acoustic metamaterials and reconfigurable, ar ...
Dhyllan Skiba
Dhyllan Skiba is a master’s candidate who is conducting pioneering research in calcium (Ca) metal anodes and electrolytes for rechargeable Ca batteries, which may offer key long-term advantages over Lithium-based batteries. Specifically, Dhyllan is working to develop new thermodynamics- based techniques to design Ca electrolytes that provide good ionic conductivity, yet also react at the electrode interface to form a new self-limiting layer with beneficial, protective properties. As a MathW ...
Crystal E. Owens
Crystal E. Owens is a PhD candidate whose research is focused on rheology and advancing our understanding of fluid-solid interactions to create useful new processes and tools. With the support of her second MathWorks Fellowship, Crystal will continue her work to develop rheological measurement tools for a class of non-Newtonian materials known as yield stress fluids. These materials include 3-D printing inks, biomaterials key for tissue engineering, and geofluids such as soil and lava; their ...
Amin Heyrani Nobari
Amin Heyrani Nobari is a PhD candidate whose research focuses on the development of novel machine-learning (ML) models and methods for automating CAD generation. His current work aims to develop generative adversarial networks (GANs) for design generation and conditional GANs for inverse design problems. Promising results of Amin’s research to date include a new GAN- based inverse design synthesis method named PcDGAN, which outperformed state-of-the-art machine-learning methods by 69%, and ...
Andreas Mentzelopoulos
Andreas Mentzelopoulos is a PhD candidate whose research centers on novel applications of machine-learning (ML) techniques to experimental fluid mechanics. Specifically, Andreas studies vortex-induced vibrations (VIV), a canonical engineering problem of great interest to theoreticians because of the complexity of underlying mechanisms and to engineers because of the catastrophic failures that VIVs can cause to marine structures. With the support of a MathWorks Fellowship, Andreas will pursue ...