Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 81-100 of 1304
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Maximum Independent Set of Rectangles - An Empirical Study
We study the Maximum Independent Set of Rectangles (MISR) problem. The problem involves a collection of n axis-parallel rectangles in 2D with weights. For the unweighted case, the goal is to find the maximum number of ... -
Stochastic Methods in Time-Domain Electromagnetic Computations
The world is advancing towards a highly connected, fast data rate, digital trans- formation through communication technologies like 5G and 6G, high-speed data centres, Terahertz imaging etc. High-frequency RF systems are ... -
Studies on EEG correlates of non-ordinary states of consciousness and slow-paced breathing
Studies on the non-ordinary states of consciousness (NSCs) induced by meditation, hypnosis, trance, and slow-paced breathing are gaining visibility due to their potential efficacy in treating various clinical conditions. ... -
Temporal Point Processes for Forecasting Events in Higher-Order Networks
Real-world systems consisting of interacting entities can be effectively represented as time-evolving networks or graphs, where the entities are depicted as nodes, and the interactions between them are represented as ... -
Energy-efficient Hardware and Algorithmic Techniques for Design of Low-power Intelligent Systems
Low-power design techniques involving hardware and algorithms framework are a fundamental challenge of the modern electronic system. The internet connects devices (IoTs) with advanced capabilities in sensing and processing ... -
High Dimensional Quantum Information Technology Using Photonics: Protocol Development and Implementation Schemes
This thesis explores the realm of high-dimensional quantum information processing through the lens of photonics, focusing on developing and implementing quantum technologies based on d-level quantum systems known as qudits. ... -
Secure Computation Protocol Suite for Privacy-Conscious Applications
As an alternative to performing analytics in the clear, there is an increasing demand for developing privacy-preserving solutions that aim to protect sensitive data while still allowing for its efficient analysis. Among ... -
Capacity Computation and Coding for Input-Constrained Channels
The setting of the transmission of information over noisy, binary-input, memoryless channels is today well-understood, owing to the work of several information theorists, beginning with Claude Shannon. It is known that it ... -
Multimodal sleep staging and diagnosis of sleep disorders
Sleep is not a single uniform state, but rather a cyclical pattern involving multiple stages such as rapid eye movement (REM) and non-REM (NREM stages N1, N2, and N3). Polysomnography (PSG) is considered as the gold standard ... -
Resonant Metasurfaces for Mid-Infrared Photonics
The field of photonics offers a robust platform for efficient light-based technologies, directly impacting or serving as competent alternatives to address scientific problems. With the advent and advancement of micro-nano ... -
Index Coding over Noisy Channels and Some Applications
A broadcast channel that is very effective for disseminating common content becomes highly inefficient when the users request different content. To address this inefficiency of the broadcast channel over which a server ... -
Novel Algorithms for Improving Agricultural Planning and Operations using Artificial Intelligence and Game Theory
This dissertation work is motivated by the critical need to address a perennial global problem, namely, how to mitigate the distress of the small and marginal agricultural farmers in emerging economies. Key reasons behind ... -
Algortihms for Individual and Collective Fairness Measures
The problem of fair allocation has been a central topic in economic theory, and the literature on fair division has provided fundamental insights on how to allocate resources among agents in a fair manner. By drawing upon ... -
Fragile Interpretations and Interpretable models in NLP
Deploying deep learning models in critical areas where the cost of making a wrong decision leads to a substantial financial loss, like in the banking domain, or even loss of life, like in the medical field, is significantly ... -
Tailoring Van – der – Waal materials for nonlinear nanophotonics
Van der Waals or two-dimensional (2D) material are emerging nanomaterials which has shown tremendous potential in building next-generation nonlinear optical devices. Monolayer and multilayer 2D materials exhibit strong ... -
Dereverberation of Speech Using Autoregressive Models of Sub-band Envelopes
Automatic speech recognition (ASR) based technologies are radically changing the way we interact with digital services and information. Most of these application leverage on hands-free speech, where talkers are able to ... -
Supervised Learning Approaches for Language and Speaker Recognition
In the age of artificial intelligence, it is important for machines to figure out who is speaking automatically and in what language - a task humans are naturally capable of. Developing algorithms that automatically infer ... -
Algorithms for Geometric Packing and Covering Problems
We study two fundamental problems related to geometric packing and covering, and design algorithms with improved worst-case performance guarantees for them. These problems have numerous applications in resource allocation, ... -
Automatic speech recognition for low-resource Indian languages
Building good models for automatic speech recognition (ASR) requires large amounts of annotated speech data. Recent advancements in end-to-end speech recognition have aggravated the need for data. However, most Indian ... -
Opacity and its Trade-offs with Security in Linear Dynamical Systems
Opacity is notion of privacy that is well-studied in computer science and discrete-event systems. In our work, we extend the opacity notion to linear dynamical systems. Opacity describes an eavesdropper’s inability to ...