Browse Dissertations and Theses - Electrical and Computer Engineering by Contributor "Varshney, Lav R."

  • Bryan, Jacob (2019-04-05)
    This dissertation presents the development of sensorimotor primitives as a means of constructing a language-agnostic model of speech communication. Insights from major theories in speech science and linguistics are used ...

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  • Agarwal, Sakshi (2019-04-24)
    In recent years, the topic of creativity has attracted extensive focus in the form of public discussion as well as research study. This has largely been in two areas: applying technology in order to innovate, as well as ...

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  • Zhou, Huozhi (2019-06-19)
    Graph-structured data is able to characterize pairwise or even higher-order relations among different data points, and has been demonstrated to be highly advantageous in various data mining and machine learning applications. ...

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  • Zhang, Yang (2017-07-11)
    Generative probabilistic and neural models of the speech signal are shown to be effective in speech synthesis and speech enhancement, where generating natural and clean speech is the goal. This thesis develops two probabilistic ...

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  • Chang, Linjia (2016-12-07)
    Graphical models are used to describe the interactions in structures, such as the nodes in decoding circuits, agents in small-world networks, and neurons in our brains. These structures are often not static and can change ...

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  • Ge, Xiou (2018-12-10)
    We investigated and implemented two computational creativity applications in generating engineering processes and building material designs respectively. To synthesize engineering processes, we developed a full system that ...

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  • Zhang, Sai (2016-08-04)
    The rapid development of machine learning plays a key role in enabling next generation computing systems with enhanced intelligence. Present day machine learning systems adopt an "intelligence in the cloud" paradigm, ...

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  • Ligo, Jonathan Gillmore (2017-09-22)
    In this thesis, we study the sparse mixture detection problem as a binary hypothesis testing problem. Under the null hypothesis, we observe i.i.d. samples from a known noise distribution. Under the alternative hypothesis, ...

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  • Seo, Daewon (2019-06-05)
    Many recent information technologies such as crowdsourcing and social decision-making systems are designed based on (near-)optimal information processing techniques for machines. However, in such applications, some parts ...

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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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  • Deka, Biplab (2017-12-04)
    Millions of mobile apps are used by billions of users every day. Although the design of these apps play an important role in their adoption, the design process still remains complex and time intensive. At the same time, ...

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  • El Gamal, Ali (2014-05-30)
    Coordinated Multi-Point (CoMP) transmission is an infrastructural enhancement under consideration for next generation wireless networks. In this work, the capacity gain achieved through CoMP transmission is studied in ...

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  • Chen, Rebecca (2019-04-24)
    In this thesis, we address several common scenarios of corrupted data in data and image processing pipelines. The first is in the setting of clustered data with missing values. We design an algorithm for imputing missing ...

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  • Chen, Wenda (2019-07-02)
    Spoken Language Understanding for both rich-resource languages (RRL) and low-resource languages (LRL) is an important research area for academia and the commercial world. In the conversational situations where either the ...

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  • Raman, Ravi Kiran (2019-04-18)
    Progress in data science depends on the collection and storage of large volumes of reliable data, efficient and consistent inference based on this data, and trusting such computations made by untrusted peers. Information ...

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  • Donmez, Mehmet Ali (2017-12-03)
    We investigate robustness and reliability in decision-making systems and algorithms based on the tradeoff between cost and performance. We propose two abstract frameworks to investigate robustness and reliability concerns, ...

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  • Zhuang, Ruby (2019-04-25)
    The science of science studies how scientists do research effectively. In this thesis, we focus on the science of biology by analyzing a biological research network which is defined as a graph where species are nodes and ...

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