Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 1-20 of 1287
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Coding Schemes and Converse Bounds for Secure, Multi-Access, and Multi-Antenna Coded Caching Problems
With rapid advancements in technology, there is an increase in the adoption of data-hungry applications, especially entertainment services like on-demand music and video streaming and download. The high temporal variability ... -
Group Testing: A Probably Approximately Correct Analysis and Recovery Algorithms for pooled RT-qPCR
The goal of group testing, also called pool testing, is to successfully identify a set of k defectives from a population of n items using only m (< n) group tests. In each group test, a subset of the n items is tested ... -
Label Efficient and Generalizable No-reference Video Quality Assessment
No-reference (NR) video quality assessment (VQA) refers to the study of the quality of degraded videos without the need for reference pristine videos. The problem has wide applications ranging from the quality assessment ... -
Design of Placement Delivery Arrays for Shared Cache and Multi-antenna Coded Caching Problems
Caching has been considered as a promising technique to handle the exponential growth of wireless data traffic. The caches distributed across the network are utilized to shift some of the peak-hour traffic to off-peak ... -
Towards Practical High Throughput Laser-based Indoor Optical Wireless Communication Systems
Wireless communication has become an essential necessity in our day-to-day life with majority of these systems currently use radio frequency (RF) technology to transmit information. To meet the high end requirements, new ... -
Advancing the Communication Complexity Landscape of Perfectly Secure Multiparty Computation
Secure multiparty computation (MPC) allows n distrustful parties to jointly compute a function on their inputs while keeping their inputs private. The distrust is modelled as an adversary that controls up to t parties and ... -
Development of Pulsed Power Systems and Tooling Coils for Electromagnetic Manufacturing Applications
Electromagnetic pulse manufacturing is an emerging non-conventional manufacturing technique used for the forming of workpieces at very high strain rates. The manufacturing assembly consists of the tooling coil (or actuator), ... -
Zero-Knowledge Proofs with Enhanced Deniability
In cryptography, deniability is a crucial concept that allows a participant to plausibly deny taking part in executing a scheme or protocol. Non-interactive zero-knowledge (NIZK) proofs enable a party (the prover) to ... -
Neuromorphic Silicon Retinas: Analog and Digital Models
Silicon retinas are artificial retinal devices designed to replicate the functionality of the biological retina using silicon-based technologies. These retinas aim to address visual impairment by capturing and processing ... -
Power Swing Blocking Protection in Presence of Large Scale Grid Following PV Generation
The increasing penetration of Inverter-Based Resources (IBRs) in power grids, driven by environmental concerns, has significantly altered the system's dynamic behavior. Unlike traditional Synchronous Generators (SGs), IBRs ... -
Investigation on Direct Lightning Strike to High Voltage Transmission Lines
Lightning continues to be the single largest natural cause of line outages. With high voltage lines spanning millions of kilometres around the globe, it has been a serious concern to transmission line engineers. Quite ... -
Dual-Polarized Multi-Frequency Phased Antenna Array with Suppressed Higher Order Modes
5G base stations operating in sub-6 GHz frequencies typically utilize full-dimensional or 3D beamforming with precise steering, using electronically scanned phased array antennas (PAA). Additionally, Radar systems for ... -
Ankora: Notions of Multi-party Computation and Zero-knowledge Beyond Conventional Models
In the era of digitalization, data privacy and integrity are of utmost importance. Secure multiparty computation (MPC) and zero-knowledge (ZK) facilitate data privacy and integrity. MPC enables privacy-preserving collaborative ... -
Single and Multi-Agent Finite Horizon Reinforcement Learning Algorithms for Smart Grids
In this thesis, we study sequential decision-making under uncertainty in the context of smart grids using reinforcement learning. The underlying mathematical model for reinforcement learning algorithms are Markov Decision ... -
Sparse Input View Synthesis: 3D Representations and Reliable Priors
Novel view synthesis refers to the problem of synthesizing novel viewpoints of a scene given the images from a few viewpoints. This is a fundamental problem in computer vision and graphics, and enables a vast variety of ... -
Universal and Scalable Multi-Source Energy Harvesting Power Supply with Dynamic Load Adaptation
Autonomous powering of electronic systems in applications spanning biomedical, automation, transportation and space industries relies on harvesting energy from the abundant ambient sources such as vibration, thermal, solar, ... -
Dual-Mode Operation of Grid-tied Inverters: Modeling, Islanding Detection and Transfer of Control
Increased penetration of renewable energy sources like solar and wind is fundamentally altering the power flow dynamics in modern distribution networks. These distributed generations (DG) boost system reliability by enabling ... -
Experimental Investigations on Switching Behavior of Locomotive Traction-grade IGBTs over Wide Operating Conditions
Insulated gate bipolar transistors (IGBTs) are the dominant power semiconductor devices in high power applications, such as, locomotive traction and megawatt-level renewable energy systems. Power electronic converters in ... -
Analysis, Design, and Acceleration of DNN Training Preprocessing Pipelines
The performance of deep neural network (DNN) training is a function of both the training compute latency and the latency to fetch and preprocess the input data needed to train the model. With advance- ments in GPUs and ... -
Tight Frames, Non-convex Regularizers, and Quantized Neural Networks for Solving Linear Inverse Problems
The recovery of a signal/image from compressed measurements involves formulating an optimization problem and solving it using an efficient algorithm. The optimization objective involves data fidelity, which is responsible ...