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Browsing Electrical Engineering and Computer Sciences - Ph.D. / Sc.D. by Issue Date

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Browsing Electrical Engineering and Computer Sciences - Ph.D. / Sc.D. by Issue Date

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  • Hsu, Allen Long (Massachusetts Institute of Technology, 2015)
    The aim of this thesis is two-fold: The first is to develop a reliable processing technology for CVD graphene devices for applications in graphene circuits, i.e. mixers, frequency multipliers and phase key shifters. The ...
  • Mei, Yuan, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2015)
    Many large financial, news, and social media companies process and stream large quantities of data to customers, either through the public Internet or on their own internal networks. These customers often depend on that ...
  • Mastin, Dana Andrew (Massachusetts Institute of Technology, 2015)
    We study a series of topics involving approximation algorithms and the presence of uncertain data in optimization. On the first theme of approximation, we derive performance bounds for rollout algorithms. Interpreted as ...
  • Herrington, William Frederick, Jr (Massachusetts Institute of Technology, 2015)
    The research done for this thesis was aimed at developing the optical elements needed for the Compact Opto-electronic Integrated Neural coprocessor (COIN coprocessor) project. The COIN coprocessor is an implementation of ...
  • Klemm, Sandy Lee (Massachusetts Institute of Technology, 2015)
    Fluctuations in the transcriptional and proteomic state of single cells is a common feature of living systems. The focus of this work is to understand the epigenetic orgin of this heterogeneity. For biochemical noise arising ...
  • Marchese, Andrew D. (Andrew Dominic) (Massachusetts Institute of Technology, 2015)
    The goal of this thesis is to explore how autonomous robotic systems can be created with soft elastomer bodies powered by fluids. In this thesis we innovate in the design, fabrication, control, and experimental validation ...
  • Hemachandra, Sachithra Madhawa (Massachusetts Institute of Technology, 2015)
    As robots move into human-occupied environments, the need for effective mechanisms to enable interactions with humans becomes vital. Natural language is a flexible, intuitive medium that can enable such interactions, but ...
  • Mahmood, Zohaib (Massachusetts Institute of Technology, 2015)
    The design of modern electronic systems is based on extensive numerical simulations, aimed at predicting the overall system performance and compliance since early design stages. Such simulations rely on accurate dynamical ...
  • Venkatraman, Dheera (Massachusetts Institute of Technology, 2015)
    Many recent experiments have explored the use of nonclassical states of light to perform imaging or sensing. Although these experiments require quantum descriptions of light to explain their behavior, the advantages they ...
  • Wu, Eugene, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2015)
    Data-driven decision making and data analysis has grown in both importance and availability in the past decade, and has seen increasing acceptance in the broader population. Visual tools are needed to help non-technical ...
  • Huang, Ying-zong (Massachusetts Institute of Technology, 2015)
    Data is compressible by presuming a priori knowledge known as a data model, and applying an appropriate encoding to produce a shorter description. The two aspects of compression data modeling and coding - however are not ...
  • Kirmani, Ghulam A. (Ghulam Ahmed) (Massachusetts Institute of Technology, 2015)
    Classical photography uses steady-state illumination and light sensing with focusing optics to capture scene reflectivity as images; temporal variations of the light field are not exploited. This thesis explores the use ...
  • Kowalski, Elizabeth J. (Elizabeth Joan) (Massachusetts Institute of Technology, 2015)
    This thesis discusses the design and test of an overmoded W-band Traveling Wave Tube (TWT). The TWT was designed to operate in the rectangular TM31 cavity mode at 94 GHz. The unwanted lower order, TM₁₁ and TM₂₁, modes were ...
  • Kurian, George, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2015)
    Next generation multicore processors and applications will operate on massive data with significant sharing. A major challenge in their implementation is the storage requirement for tracking the sharers of data. The bit ...
  • Chan, Chun Wang Ivan (Massachusetts Institute of Technology, 2015)
    Terahertz Quantum Cascade Lasers (THz QCLs) are arguably the most promising technology today for the compact, efficient generation of THz radiation. Their main limitation is that they require cryogenic cooling, which ...
  • Chang, Arthur Hsu Chen (Massachusetts Institute of Technology, 2015)
    Solar photovoltaic power generation is a promising clean and renewable energy technology that can draw upon the planet's most abundant power source - the sun. However, relatively high levelized cost of energy (LCOE), the ...
  • Johnston, Matthew R. (Matthew Ryan) (Massachusetts Institute of Technology, 2015)
    In wireless networks, transmissions must be scheduled to opportunistically exploit the time-varying capacity of the wireless channels to achieve maximum throughput. These opportunistic policies require global knowledge of ...
  • Lee, Yoong Keok (Massachusetts Institute of Technology, 2015)
    This thesis improves unsupervised methods for part-of-speech (POS) induction and morphological word segmentation by modeling linguistic phenomena previously not used. For both tasks, we realize these linguistic intuitions ...
  • Saadat, Omair I (Massachusetts Institute of Technology, 2015)
    Gallium Nitride (GaN) based high electron mobility transistors (HEMTs) are very promising for applications requiring high power and high operating frequencies due to its intrinsic material properties like the high electron ...
  • Mroueh, Youssef (Massachusetts Institute of Technology, 2015)
    A quantization approach to supervised learning, compressive sensing, and phase retrieval is presented in this thesis. We introduce a set of common techniques that allow us, in those three settings, to represent high ...
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