Browse Dissertations and Theses - Electrical and Computer Engineering by Contributor "Raginsky, Maxim"

  • Kaliyeva, Aray (2014-05-30)
    The thesis addresses a problem in networked control systems where quantization is a communication constraint. Control design together with parameter estimation algorithms lead to adaptive control techniques. A first order ...

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  • Yarkony, Elad (2018-12-03)
    Blind linear system identification (or recovery) arises in several applications in engineering (e.g. channel equalization, super-resolution, MRI and SAR image formation). This is a special case of a bi-linear inverse ...

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  • Osuagwu, Onyeama E. (2015-12-04)
    Artificial Intelligence (AI) has been a source of great intrigue and has spawned many questions regarding the human condition and the core of what it means to be a sentient entity. The field has bifurcated into so-called ...

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  • Guang, Xiaoyu (2015-01-21)
    This thesis introduces a framework of channel emulation. An emulator is defined as a pair of channels, that converts one channel to another channel with possibly different input and output alphabets. With the concept of ...

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  • Uribe Meneses, Cesar Augusto (2018-07-09)
    A distributed system is composed of independent agents, machines, processing units, etc., where interactions between them are usually constrained by a network structure. In contrast to centralized approaches where all ...

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  • Davidson, James (2012-09-18)
    How does uncertainty affect a robot when attempting to generate a control policy to achieve some objective? How sensitive is the obtained control policy to perturbations? These are the central questions addressed in this ...

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  • Ma, Xiao (2020-02-28)
    This thesis contributes to and advances the state-of-the-art of the analysis of stochastic electromagnetic-circuit systems by applying novel statistical inference and generative modeling techniques to the extraction of ...

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  • Khanafer, Ali (2015-01-21)
    This thesis focuses on designing efficient mechanisms for controlling information spread in networks. We consider two models for information spread. The first one is the well-known distributed averaging dynamics. The second ...

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  • Gao, Weihao (2019-08-19)
    As the era of big data arises, people get access to numerous amounts of multi-view data. Measuring, discovering and understanding the underlying relationship among different aspects of data is the core problem in information ...

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  • Bu, Yuheng (2019-08-14)
    The focus of this thesis is on understanding machine learning algorithms from an information-theoretic point of view. More specifically, we apply information-theoretic tools to construct performance bounds for the learning ...

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  • Xu, Aolin (2016-11-30)
    In a generic distributed information processing system, a number of agents connected by communication channels aim to accomplish a task collectively through local communications. The fundamental limits of distributed ...

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  • Sevuktekin, Noyan Cem (2021-04-18)
    Modern engineering challenges motivate a transition from conventional systems that rely on measurements of physical quantities to systems that interpret and respond to subjective evaluations of the world. Different from ...

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  • Jun, David (2014-05-30)
    Next-generation embedded devices are expected to pervasively extract information from the world around us. In particular, growing interest in mobile devices beyond the smart phone imply that the need for context awareness ...

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  • Bean, Andrew J (2015-04-21)
    Algorithms on graphs are used extensively in many applications and research areas. Such applications include machine learning, artificial intelligence, communications, image processing, state tracking, sensor networks, ...

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  • Lee, Jaeho (2015-12-04)
    This thesis studies MMSE estimation on the basis of quantized noisy observations. It presents nonasymptotic bounds on MMSE regret due to quantization for two settings: (1) estimation of a scalar random variable given a ...

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  • Chen, Zaichen (2019-01-28)
    In this dissertation, a circuit modeling methodology using recurrent neural networks (RNNs) is developed. The methodology covers model structure selection, data generation, training, and model implementation for circuit ...

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  • Emad, Amin (2015-05-18)
    We propose a novel group testing framework, termed semi-quantitative group testing, motivated by a class of problems arising in genome screening experiments in addition to other applications such as interpretable rule ...

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  • Yang, Pengkun (2018-09-04)
    Recent advances in genetics, computer vision, and text mining are accompanied by analyzing data coming from a large domain, where the domain size is comparable or larger than the number of samples. In this dissertation, ...

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  • Shafieepoorfard, Ehsan (2015-01-21)
    This thesis poses a general model for optimal control subject to information constraint, motivated in part by recent work on information-constrained decision-making by economic agents. In the average-cost optimal control ...

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  • Shafieepoorfard, Ehsan (2019-02-25)
    Rationally inattentive decision-making (RIDM) extends general problem of Bayesian decision-making under uncertainty to the case when the decision- maker (DM) has several options for obtaining extra information about the ...

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