Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 61-80 of 1277
-
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 ... -
Efficient Constructions of Streaming Codes
Streaming codes are a class of erasure codes that operate on a stream of packets and enable recovery of dropped or erased packets under a decoding-delay constraint. The primary focus of this thesis is on providing constructions ... -
Coding Schemes for Secure and Reliable DNA-Based Data Storage
In DNA-based data storage, the desired information is encoded into the quaternary sequence of synthetic DNA molecules, called oligos. We look at secure communication via information-containing oligos in the usual three-party ... -
Design, Implementation, and Analysis of a TLB-based Covert Channel on GPUs
GPUs are now commonly available in most modern computing platforms. They are increasingly being adopted in cloud platforms and data centers due to their immense computing capability. In response to this growth in usage, ... -
An MLIR-Based High-Level Synthesis Compiler for Hardware Accelerator Design
The emergence of machine learning, image and audio processing on edge devices has motivated research towards power-efficient custom hardware accelerators. Though FPGAs are an ideal target for custom accelerators, the ... -
Average Reward Actor-Critic with Deterministic Policy Search
The average reward criterion is relatively less studied as most existing works in the Reinforcement Learning literature consider the discounted reward criterion. There are few recent works that present on-policy average ... -
Ultrawideband and wide-angle scan antenna element and small active phased arrays
Wideband, wide-scan active phased arrays (APA) are widely used for multi-function radars, communication and electronic warfare. Although considerable research is available on the design and analysis of such antenna elements ... -
Towards Robustness of Neural Legal Judgement System
Legal Judgment Prediction (LJP) implements Natural Language Processing (NLP) techniques to predict judgment results based on fact description. It can play a vital role as a legal assistant and benefit legal practitioners ...