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CServ : an Internetwork architecture supporting mission-critical messaging with probabilistic performance guarantees
(Massachusetts Institute of Technology, 2016)
We present the fundamental framework for a multi-service, heterogeneous internetworking architecture that provides probabilistic, end-to-end quality of service guarantees to the data application for short critical messages ...
Learning and model-based approaches to improved patient monitoring, assessment and treatment in capnography and procedural sedation
(Massachusetts Institute of Technology, 2016)
Disease assessment, diagnosis, and treatment are facilitated by appropriate patient monitoring. In this work, we bring quantitative and model-based methods to two settings in which current monitoring modalities are largely ...
Certifying a crash-safe file system
(Massachusetts Institute of Technology, 2016)
File systems are a cornerstone for storing and retrieving permanent data, yet they are complex enough to have bugs that might cause data loss, especially in the face of system crashes. FSCQ is the first file system that ...
Finding security bugs in web applications using domain-specific static analysis
(Massachusetts Institute of Technology, 2015)
This thesis proposes new techniques for finding and eliminating application-specific bugs in web applications. We demonstrate three approaches to finding these bugs, each representing one position in the compromise between ...
Visual vibration analysis
(Massachusetts Institute of Technology, 2016)
This dissertation shows how regular cameras can be used to record and analyze the vibrations of visible objects. Through careful temporal analysis, we relate subtle changes in video to the vibrations of recorded surfaces, ...
Practical distributed MIMO for WiFi and LTE
(Massachusetts Institute of Technology, 2018)
Distributed MIMO has long been known theoretically to bring large throughput gains to wireless networks. Recent years have seen significant interest and progress in developing practical distributed MIMO systems. Multiple ...
Scaling Bayesian inference : theoretical foundations and practical methods
(Massachusetts Institute of Technology, 2018)
Bayesian statistical modeling and inference allow scientists, engineers, and companies to learn from data while incorporating prior knowledge, sharing power across experiments via hierarchical models, quantifying their ...
Interpretable representation learning for visual intelligence
(Massachusetts Institute of Technology, 2018)
Recent progress of deep neural networks in computer vision and machine learning has enabled transformative applications across robotics, healthcare, and security. However, despite the superior performance of the deep neural ...
High-speed modulation of resonant CMOS photonic modulators in deep-submicron CMOS
(Massachusetts Institute of Technology, 2014)
Processor manufacturers have turned to parallelism to continue to improve processor performance, and the bandwidth demands of manycore systems are rising. Silicon photonics can lower the energy-per-bit of core-to-core and ...
Sensing and timekeeping using a light-trapping diamond waveguide
(Massachusetts Institute of Technology, 2017)
Solid-state quantum systems have emerged as promising sensing platforms. In particular, the spin properties of nitrogen vacancy (NV) color centers in diamond make them outstanding sensors of magnetic fields, electric fields, ...