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Computational design and fabrication of portable MRI systems
(Massachusetts Institute of Technology, 2020)
In this work, I have developed techniques for designing portable MRI scanners and have applied them to three portable systems for brain imaging. I first describe the procedue for designing a portable, low-field MRI scanner ...
Image segmentation for highly variable anatomy : applications to congenital heart disease
(Massachusetts Institute of Technology, 2020)
Automated segmentation of medical images can facilitate clinical tasks in diagnosis, patient monitoring, and surgical planning. However, current methods either rely on explicit correspondence detection, or use machine ...
Sigma shapes : parametric shape estimation for view and interaction planning
(Massachusetts Institute of Technology, 2020)
It is often useful for robots to actively build a model of an unknown 3D scene to enable tasks such as manipulation, mapping and object search. To do so requires choosing a representation to accumulate spatial knowledge, ...
Statistical privacy and security
(Massachusetts Institute of Technology, 2020)
The tremendous increase of personal data being shared online, along with the rapid development of data mining techniques is a serious threats to privacy and security, as evidenced by the numerous privacy and security ...
Causal inference : a Tensor's perspective
(Massachusetts Institute of Technology, 2020)
Quantifying the causal effect of an intervention is a ubiquitous problem that spans a wide net of applications. Typically, this quantity is measured through the difference in outcomes under treatment (e.g., novel drug) and ...
Ohmic contact to monolayer semiconductors
(Massachusetts Institute of Technology, 2020)
Scaling of silicon transistors is reaching its physical limits due to severe short channel effects, threatening to end Moore's law. Advanced beyond-silicon electronic technology requires discoveries of both new channel ...
Programming languages for sound computation with continuous values
(Massachusetts Institute of Technology, 2020)
Increasingly, computer software is used to manipulate continuous values, in domains such as machine learning, solid modeling, and scientific computing. At the same time, such programs are increasingly integrated within ...
Convex optimization and machine learning for scalable verification and control
(Massachusetts Institute of Technology, 2020)
Having scalable verification and control tools is crucial for the safe operation of highly dynamic systems such as complex robots. Yet, most current tools rely on either convex optimization, which enjoys formal guarantees ...
Smart energy solutions to smart grid challenges
(Massachusetts Institute of Technology, 2020)
The smart micro-grid is an energy network, and researchers have spent decades working on technology development. Among most existing solutions, they focus on dynamic operation and stability issues, however the smart grid ...
Statistics in high dimensions without IID samples : truncated statistics and minimax optimization
(Massachusetts Institute of Technology, 2020)
A key assumption underlying many methods in Statistics and Machine Learning is that data points are independently and identically distributed (i.i.d.). However, this assumption ignores the following recurring challenges ...