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Architectures for photon-mediated quantum information processing
(Massachusetts Institute of Technology, 2018)
In this thesis, I present architectures for quantum information processing where photons are used as the quantum bit (qubit) or for mediating entanglement between other qubits. The emphasis of this research is to simplify ...
Secure computation on untrusted platforms
(Massachusetts Institute of Technology, 2018)
In this thesis, we present two lines of research developing tools that, in addition to being of independent theoretical interest, yield improved protocols for secure out-sourcing of computation: Succinct Garbling Schemes. ...
Using machine learning to derive insights from sports location data
(Massachusetts Institute of Technology, 2018)
Historically, much of sports analytics has aimed to find relationships between discrete events and outcomes. The availability of high-resolution event location and tracking data has led to many new opportunities in sports ...
Leveraging text representations for clinical predictive tasks
(Massachusetts Institute of Technology, 2018)
The increasing prevalence of digitized clinical data creates new opportunities to use machine learning to unlock clinical insights, and ultimately improve healthcare delivery. However, while data from Electronic Health ...
Graphene chemical and biological sensors : modeling, systems, and applications
(Massachusetts Institute of Technology, 2018)
Graphene exhibits a unique combination of properties making it particularly promising for sensing applications. This thesis builds new graphene chemical and biological sensing technologies from the ground up by developing ...
Advanced functional and intraoperative ophthalmic optical coherence tomography imaging
(Massachusetts Institute of Technology, 2018)
Optical coherence tomography (OCT) is a non-contact, non-invasive imaging technique that uses optical interferometry to generate high-resolution, depth-resolved images of tissue in vivo. Ophthalmologists now use commercial ...
Uplift modeling for randomized experiments and observational studies
(Massachusetts Institute of Technology, 2018)
Uplift modeling refers to the problem where we need to identify from a set of treatments the candidate that leads to the most desirable outcome based on subject characteristics. Most work in the last century focus on the ...
Hardware and protocols for authentication and secure computation
(Massachusetts Institute of Technology, 2018)
The Internet of Things has resulted in an exponential rise in the number of embedded electronic devices. This thesis deals with ensuring the security of these embedded devices. In particular we focus our attention on two ...
Life after death : techniques for the prognostication of coma outcomes after cardiac arrest
(Massachusetts Institute of Technology, 2018)
Electroencephalography (EEG) features are known to predict neurological outcomes of patients in coma after cardiac arrest, but the association between EEG features and outcomes is time-dependent. Recent advances in machine ...
Energy-efficient smart embedded memory design for IoT and AI
(Massachusetts Institute of Technology, 2018)
Static Random Access Memory (SRAM) continues to be the embedded memory of choice for modern System-on-a-Chip (SoC) applications, thanks to aggressive CMOS scaling, which keeps on providing higher storage density per unit ...