Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 161-180 of 1303
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Investigations on Capacitor Size Reduction and PWM Strategy for Multilevel Polygonal Space Vector Structure for Induction Motor Drives
Multilevel voltage source inverter transformed conversion of DC to AC for medium to high power application. With increasing electric power demand, the multilevel converter allows high power density converters for medium ... -
Provably Convergent Algorithms for Denoiser-Driven Image Regularization
Some fundamental reconstruction tasks in image processing can be posed as an inverse problem where we are required to invert a given forward model. For example, in deblurring and superresolution, the ground-truth image ... -
Algorithms and Testbed for Synchronous Generator Parameter Estimation
The development of dynamic power system component models became increasingly important in the modern grids dominated by high penetration of renewables because of the increased dependency of planning and operational decisions ... -
Fast Algorithms for Max Cut on Geometric Intersection Graphs
In this work, we design fast algorithms for max cut on geometric intersection graphs. In the maximum cut (a.k.a., max cut) problem, the input is an undirected graph, and the goal is to partition the vertex set into two ... -
Improved air-tissue boundary segmentation in real-time magnetic resonance imaging videos using speech articulator specific error criterion
Real-time Magnetic Resonance Imaging (rtMRI) is a tool used exhaustively in speech science and linguistics to understand the dynamics of the speech production process across languages and health conditions. rtMRI has two ... -
Information Rates over Point-to-Point and Multi-user Wireless Channels with Energy and Delay Constraints
In this thesis, we consider communication systems having energy, delay and reliability constraints. We characterize optimal communication rates achievable over these systems. First we consider point-to-point communication ... -
A Context-Aware Neural Approach for Explainable Citation Link Prediction
Citations have become an integral part of scientific publications. They play a crucial role in supporting authors’ claims throughout a scientific paper. However, citing related work is a challenging and laborious task, ... -
Device-Circuit Reliability Co-Design in High voltage and Power devices
For the last four decades, silicon CMOS technology has captured a significant share in IC, smart power IC, SoC, and the power device market. But there is aggressive research on other materials such as graphene & similar ... -
A Novel Passive Regenerative Snubber for the Phase-Shifted Full-Bridge Converter: Analysis, Design and Experimental Verification
The development of Wide Bandgap (WBG) devices has enabled power electronic converters to operate at much higher frequencies, voltages and high power. Working at a higher switching frequency minimises the size of magnetics ... -
Atomic-level Investigation and Proposals to Address Technological Roadblocks and Reliability Challenges in 2D Material Based Nanoelectronic Devices
The transistor scaling is witness to many extraordinary inventions during its consecutive miniaturization. The journey began from Dennard’s classical constant field scaling, crossing through the milestones like strain ... -
Scheduling Algorithms for Wireless Networks and Cloud Computing Platforms
This thesis focuses on designing scheduling algorithms for wireless communication networks, FMCW radar networks, and cloud computing platforms. In each case, the algorithms aim at efficient utilization of resources, e.g., ... -
Generalizing Cross-domain Retrieval Algorithms
Cross-domain retrieval is an important research topic due to its wide range of applications in e-commerce, forensics etc. It addresses the data retrieval problem from a search set, when the query belongs to one domain, and ... -
Achieving practical secure non-volatile memory system with in-Memory Integrity Verification (iMIV)
Recent commercialization of Non-Volatile Memory (NVM) technology in the form of Intel Optane enables programmers to write recoverable programs. However, the data on NVM is susceptible to a plethora of data remanence attacks, ... -
Opportunistic Beamforming and Asymptotic Throughput Analysis of Hybrid Analog-Digital mmWave Multi-User MIMO Systems
In this thesis, we address the problem of large training/feedback overhead and the requirement of computationally intensive algorithms to determine the phase angles of the analog precoder for downlink data transmission ... -
Efficient Resource Allocation for Underlay Device-to-device Communication Networks with Limited Channel State Information
Device-to-device (D2D) communication is finding applications in future wireless networks such as vehicular networks and internet-of-things. It offloads traffic from the base station (BS), improves energy efficiency, and ... -
An Evaluation of Basic Protection Mechanisms in Financial Apps on Mobile Devices
This thesis concerns the robustness of security checks in financial mobile applications (or simply financial apps). The best practices recommended by OWASP for developing such apps demand that developers include several ... -
Physics-based Approach For Efficient & Reliable Enhancement-mode AlGaN/GaN High Electron Mobility Transistor (HEMT) Technology
Power semiconductor devices have been the key to growth of power electronics market, and cover application areas ranging from mobile stations (commercial) to missile seekers (military). Continuously increasing demand for ... -
High-Throughput Computational Techniques for Discovery of Application-Specific Two-Dimensional Materials
Two-dimensional (2D) materials have revolutionized the field of materials science since the successful exfoliation of graphene in 2004. Consequently, the advances in computational science have resulted in massive generic ... -
Charge Density Wave-driven Carrier Transport in Layered Heterostructures
Metal-based electronics remain one of the longstanding goals of researchers to achieve ultra-fast and radiation-hard electronic circuits. Generally, metals are primarily used as passive conductors in modern electronics and ... -
Model-based Safe Deep Reinforcement Learning and Empirical Analysis of Safety via Attribution
During initial iterations of training in most Reinforcement Learning (RL) algorithms, agents perform a significant number of random exploratory steps, which in the real-world limit the practicality of these algorithms ...