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 ...
Minghao Guo
Minghao Guo is a PhD candidate whose research interests are in polymer informatics at the intersection of machine learning and computer graphics, with a focus on computation design for chemistry, material, and shape modeling. A MathWorks Fellowship will support Minghao’s ongoing work to create a polymer informatics system for efficient exploration and automated optimization for polymer design. Currently, polymer synthesis is a resource-intensive process reliant on very small amounts of expe ...
Camilo L. Fosco
Camilo L. Fosco is a PhD candidate whose research integrates computer vision and cognitive science to build innovative models that can mimic the brain’s intricate processes to solve computer vision tasks. Currently Camilo is leveraging generative models to produce images and videos that maximize a specific cognitive metric, an approach that will enable generative techniques that are expressive and accurate, and also controllable in dimensions typically hard to quantify, like attention-grabb ...
Yuqin Sophia Duan
Sophia Duan is a PhD candidate whose research interests are focused on the development of novel quantum technologies. Her current work is aimed at designing accurate large-scale computational models to describe the behavior of quantum devices, considering both the quantum object and the complex experimental chain required for device operation. Such models could enable a greater understanding of the fundamental limits of laboratory measurements and quantum physics. A MathWorks Fellowship will ...
Taylor Elise Baum
Taylor Elise Baum is a PhD candidate whose research interests lie in developing systems that enhance clinician decision-making processes for cardiovascular system management. Currently, Taylor is working on a closed-loop blood pressure control (CLBPC) system to improve blood pressure management in intensive care units and operating rooms. A MathWorks Fellowship will allow her to advance the system toward eventual human testing. Milestone achievements include her development of a physiological ...
Tian Zhao
Tian Zhao is a PhD candidate in the field of environmental fluid mechanics whose research focuses on fluid motion and sediment transport in aquatic ecosystems, which has critical implications for natural habitat provision, water quality protection, flood and erosion mitigation, and carbon sequestration. Supported by a MathWorks Fellowship, Tian is investigating the fundamental hydrodynamic processes in this complex system to understand how aquatic vegetation, like seagrasses or mangroves, int ...
YoungIn (Ethan) Shin
YoungIn (Ethan) Shin is a PhD candidate whose research interests lie at the intersection of computational science and renewable energy systems. Specifically, Ethan seeks to advance fundamental knowledge of the atmospheric boundary layer (ABL) and its influence on wind farms, by developing more accurate parameterizations for turbulence in the ABL. His research leverages data assimilation and uncertainty quantifications methods to address two critical challenges in wind energy: the uncertainty ...
Souha El Mousadik
Souha El Mousadik is a PhD candidate in environmental fluid dynamics whose research addresses areas of critical importance for decarbonization and climate mitigation, including the impacts of deep-sea mining and modeling strategies for ocean carbon sequestration. Souha’s first MathWorks Fellowship enabled her to explore the characteristics and hydrodynamics of seabed sediment generated by deep-sea mining and to develop and test instrumentation to characterize suspended sediment properties i ...