Fellows

Abinash Kumar
Abinash Kumar

Abinash is a PhD student in the Department of Materials Science and Engineering. His research involves atomic-scale characterization of materials using scanning transmission electron microscopy (STEM). He focuses on two aspects of electron microscopy: developing new tools for acquiring high quality data; and extracting local chemical and structural information in materials, using various statistical tools. With the discovery of aberration correctors for electron microscopes, acquiring images ...

Yoonho Kim
Yoonho Kim

Yoonho is a PhD student in mechanical engineering. He developed a submillimeter-scale, soft-bodied continuum robot (a type of slender, thread-like robot) capable of slithering through highly complex and constrained environments, such as the narrow and tortuous vasculature of the human brain.Based on this technology, he is developing a telerobotic neurointerventional platform to enable robotic applications to endovascular neurosurgery and stroke treatments. He uses MATLAB for simulation and qu ...

Ifueko Nosakhare  Igbinedion
Ifueko Nosakhare Igbinedion

Ifueko is a PhD student in electrical engineering and computers cience. Her research focuses on how computer scientistscan utilize the power of multi-agent collaboration to coordinate swarms of drones completing classic computer vision tasks with extremely high speed and accuracy. The goal of this work is to develop innovative deep-learning models supported by a backbone of drone swarm perception to provide real-time, deep-learning capabilities for autonomous systems. This approach aims to sh ...

Justin  Hou
Justin Hou

Justin is a PhD student in electrical engineering and computer science and a member of the Spintronic Material and Device Group. His research focuses on the theoretical understanding and experimental realization of spintronics. MATLAB has played a significant role in his research, ranging from experimental measurement, data analysis, and visualization to theoretical calculation of electronic bands and theoretical modeling of magnetic dynamics. With the help of the Instrument Control Toolbox, ...

R’mani Haulcy
R’mani Haulcy

R’mani is a PhD student in electrical engineering and computer science. She uses MATLAB to create figures such as confusion matrices, and to perform computations on an emerging area in the speech field that revolves around measuring health-related biomarkers from speech. She plans to use the Statistics and Machine Learning Toolbox to automatically detect cognitive impairment from speech. R’mani earned a BS in electrical engineering from Yale University.

Abhinav  Gupta
Abhinav Gupta

Abhinav is a PhD student in mechanical engineering and computation who is developing state-of-the-art algorithms and methodologies for uncertainty quantification, Bayesian learning, deep learning, and numerical methods for various ocean applications. His research in the past years has focused on the problem of sustainable fisheries management inIndia. Due to the high-dimensional nature of ocean modeling and the operational requirements of making ocean predictions in real time, legacy codes wr ...

Daisy  Green
Daisy Green

Daisy is a PhD student in electrical engineering and computer science working in the Electromechanical Systems Group.Her research is focused on the signal processing and analysis required to create new systems for the automation of energy conservation and for providing actionable insight into the operation of an electrical system and its individual loads. MATLAB was essential to her understanding of machine learning concepts.Her work usesphysics-informed machine learning techniques to identif ...

Fiona  Grant
Fiona Grant

Fiona is a PhD student mechanical engineering. Her research Global Engineering and Research (GEAR) Lab focuses on designing low-cost, solar-powered drip irrigation systems for small farms in the Middle East, North Africa, and East Africa. Her goal is to improve and expand the optimization design tool for drip irrigation systems, using a modular design tool that facilitates rapid iterations and improvements. In order to identify further cost-saving design configurations, she is working on co-o ...

Baoliang Ge
Baoliang Ge

Baoliang is a PhD student in mechanical engineering whose research focuses on developing novel label-free microscopy techniques for biological imaging and material inspection. He recently developed a polarization interference microscopy called Quantitative Polarization Interference Microscopy (QPIM). This novel optical imaging technique realized single-shot quantitative polarization imaging, which can capture and analyze the high-speed dynamics happened in anisotropic samples. With QPIM, he c ...

Hannah  Feldstein
Hannah Feldstein

Hannah is a PhD student in mechanical engineering whose research is centered on the fundamental design, optimization, and device integration of dynamically reconfigurable micro-scale fluid droplet morphologies for biomedical sensing and imaging. Being able to determine whether bacteria are alive or dead has important implications for rapid detection of pathogenic bacteria presence and the quantification of antibiotic effectiveness. This can be accomplished through sensing optical changes.Hann ...

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