Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date"2020"
Now showing items 1-20 of 64
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Acoustic-Articulatory Mapping: Analysis and Improvements with Neural Network Learning Paradigms
Human speech is one of many acoustic signals we perceive, which carries linguistic and paralinguistic (e.g., speaker identity, emotional state) information. Speech acoustics are produced as a result of different temporally ... -
AlGaN/GaN Heterojunction Based Hall Sensors for Magnetic Field Sensing over Wide Temperature Range
Hall sensor has proved to be an attractive solution for sensing requirements in electric machines for direct measurement of fields or indirect estimation of physical quantities such as current, speed and torque. Current ... -
Algorithms for Challenges to Practical Reinforcement Learning
Reinforcement learning (RL) in real world applications faces major hurdles - the foremost being safety of the physical system controlled by the learning agent and the varying environment conditions in which the autonomous ... -
Algorithms for Fair Decision Making: Provable Guarantees and Applications
The topic of fair allocation of indivisible items has received significant attention because of its applicability in several real-world settings. This has led to a vast body of work focusing on defining appropriate fairness ... -
Algorithms for Social Good in Online Platforms with Guarantees on Honest Participation and Fairness
Recent decades have seen a revolution in the way people communicate, buy products, learn new things, and share life experiences. This has spurred the growth of online platforms that enable users from all over the globe to ... -
Algorithms for Stochastic Optimization, Statistical Estimation and Markov Decision Processes
Stochastic approximation deals with the problem of finding zeros of a function expressed as an expectation of a random variable. In this thesis we propose convergent algorithms for problems in optimization, statistical ... -
Analysis and Mitigation of SideLobe Degradation due to Quantized control in mmWave 5G Phased Arrays
Antenna arrays are one of the most important parts of the RF communication systems. With the advancement in the eld of 5G mobile communication, electronically steerable arrays, particularly phased arrays have undergone ... -
Atom-to-circuit Modeling Strategy for 2d Transistors
Two-dimensional materials are now being considered as viable options for CMOS (complementary metal-oxide-semiconductor) technology extension due to their diverse electronic and opto-electronic properties. However, introduction ... -
Battle of Bandits: Online Learning from Subsetwise Preferences and Other Structured Feedback
The elicitation and aggregation of preferences is often the key to making better decisions. Be it a perfume company wanting to relaunch their 5 most popular fragrances, a movie recommender system trying to rank the most ... -
Codes for distributed storage, private information retrieval and low-latency streaming
This thesis presents results on error correcting codes for settings such as: (a) distributed storage, (b) private information retrieval, and (c) low-latency streaming. It also presents two new decoding algorithms for Polar ... -
Constant-rate Non-malleable Codes and their Applications
Non-malleable codes(NMC) introduced by Dziembowski, Pietrzak and Wichs in ITCS 2010, provide powerful security guarantees where error-correcting codes can not provide any guarantee: a decoding of tampered codeword is ... -
Cross-Modal Retrieval and Hashing
The objective of cross-modal retrieval is to retrieve relevant items from one modality (say image), given a query from another modality (say textual document). Cross-modal retrieval has various applications like matching ... -
Decision Making under Uncertainty : Reinforcement Learning Algorithms and Applications in Cloud Computing, Crowdsourcing and Predictive Analytics
In this thesis, we study both theoretical and practical aspects of decision making, with a focus on reinforcement learning based methods. Reinforcement learning (RL) is a form of semi-supervised learning in which the agent ... -
Deep Learning for Bug Localization and Program Repair
In this thesis, we focus on the problem of program debugging and present novel deep learning based techniques for bug-localization and program repair. Deep learning techniques have been successfully applied to a variety ... -
Development of Synchro-Phasor Algorithms on Parallella - A Credit Card Sized Super Computer
In recent years, usage of GPS time-stamped phasor magnitude and angle measure- ments of voltage and current samples, called synchrophasors, is getting great atten- tion for wide area monitoring, protection, and control ... -
Efficient Algorithms for Learning Restricted Boltzmann Machines
The probabilistic generative models learn useful features from unlabeled data which can be used for subsequent problem-specific tasks, such as classification, regression or information retrieval. The RBM is one such important ... -
Efficient Transceiver Techniques for Media-based Modulation Systems
Conventionally, information bits are conveyed in a communication system by transmitting symbols from a complex modulation alphabet such as QAM or PSK. The wireless fading channel is viewed as a signal distorting medium ... -
Embedding Networks: Node and Graph Level Representations
Graph neural networks gained significant attention for graph representation and classification in the machine learning community. For graph classification, different pooling techniques are introduced, but none of them has ... -
Emulation of wind turbine and sensorless control of doubly-fed induction generator for wind energy application
Wind energy utilization has been growing at a rapid rate, fuelling research and development in wind turbine – generator systems. Doubly fed induction generator (DFIG) driven by a wind turbine is a commonly used wind energy ... -
Engineering quantum emitters in WSe2 films on metal films
The discovery of single photon emitters (SPEs) in van der Waals materials, in particular, from point defects in Tungsten Diselenide (WSe2) and hexagonal Boron Nitride (hBN), has sparked tremendous research interest in the ...