Zi Hao Foo
Zi Hao Foo is a PhD candidate whose research interests focus on water treatment strategies for chemical separations. Specifically, he is working on sustainable systems for accessing non- traditional sources of critical minerals such as lithium. A MathWorks Fellowship will support his innovative research in two primary areas. The first is creating computational models for multicomponent solution-diffusion in forward and counterflow reverse osmosis; his most recent models reproduce data more ac ...
Somayajulu Dhulipala
Somayajulu Dhulipala is a PhD candidate whose research interests are in the fields of computational and experimental solid mechanics and architected materials. Specifically, he is working to develop non-periodic self-architected metamaterials with tunable mechanical properties, which overcome drawbacks of conventional additively manufactured materials such as stress concentrations and poor scalability. With the support of a MathWorks Fellowship, Somayajulu will develop self-architected spinod ...
Ippolyti Dellatolas
Ippolyti Dellatoas is a PhD candidate whose research explores the mechanics of multiphase materials, specifically composites composed of constituents of different phases, such as alloys, emulsions, and reinforced concrete. The goal of her research is to develop a comprehensive framework of the mechanics and dynamics of composite systems, focusing on how attractive interactions between components impact the mechanical properties of these materials at large scales. Supported by her second MathW ...
Anantha Narayanan Suresh Babu
Anantha Narayanan Suresh Babu is a PhD candidate whose research combines computational modeling, uncertainty quantification, Bayesian learning, and scientific machine learning, with applications to sea ice and ocean dynamics. Sea ice is rapidly changing, and submesoscale currents have recently been found to be ubiquitous in the upper ocean. Anantha’s work seeks to broaden our modeling of these complex, nonlinear sea ice and submesoscale dynamics, by melding fundamental physics with limited ...
Ruiqi Zhang
Ruiqi Zhang is a PhD candidate whose research aims to develop novel solar cell technologies to support renewable energy. Specifically, he is devising machine learning (ML) algorithms to predict optimal structures for solar photovoltaic devices that utilize organic-metal-halide perovskites, a class of materials with promising optoelectronic properties for the next generation of solar photovoltaics. Supported by a MathWorks Fellowship, Ruiqi will pursue a research project with the aim of connec ...
Leticia Mattos Da Silva
Leticia Mattos Da Silva is a PhD candidate conducting innovative research in the fields of geometry processing and numerical methods. Specifically, Leticia’s work concerns the analysis of partial differential equations (PDE), a ubiquitous technique in computer graphics, geometry processing, and adjacent fields, with a focus on the use of second-order parabolic PDE. Her research is implemented entirely in MATLAB. A MathWorks Fellowship will support Leticia’s ongoing work in developing new ...
Colin R. Marcus
Colin R. Marcus is a PhD candidate whose research is focused on biomedical applications, with an emphasis on novel sensor platforms and algorithms to enable long-term, personalized healthcare. In recent work, Colin developed a paper-thin, flexible sensor array that can be laminated onto surgical masks and N95 respirators. This innovative technology allows for real-time monitoring of variables such as temperature, humidity, air pressure, and mask fit. Utilizing machine learning techniques, it ...
Tianhong Li
Tianhong Li is a PhD candidate whose research utilizes machine learning (ML) approaches in the development of novel sensing systems. His research has provided important new insights into ML problems, such as learning from unbalanced datasets and improving the robustness of self- supervised learning, enabling it to deal with new modalities. A MathWorks Fellowship will support Tianhong’s work on several exciting projects. The first is a groundbreaking system that provides highly accurate huma ...
Peter Zhi Xuan Li
Peter Zhi Xuan Li is a PhD candidate conducting interdisciplinary research at the intersection of robotics and low-power computing hardware, to enable energy-efficient computing for augmented reality, virtual reality, and autonomous navigation. His paradigm-shifting research addresses a key challenge in efficient computing, which is the cost of storing and accessing data from memory, by taking a memory-centric approach to designing algorithms and computing hardware. A MathWorks Fellowship wil ...
Kruthika (Kru) Kikkeri
Kruthika (Kru) Kikkeri is a PhD candidate whose research is focused on developing fast, affordable point-of-care (PoC) systems for the detection of biomarkers. Specifically, she utilizes microfluidics, electronics, and machine learning to create a tunable, inexpensive, and user-friendly sample-to-answer PoC system with clinically relevant analytical capabilities and rapid turnaround times. Building on previous research, Kru has made important contributions by developing the upstream processin ...