Division of Electrical, Electronics, and Computer Science (EECS)
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Generalizable No-Reference Image Quality Assessment: Multi-Modal Models and Human Preference Analysis for AI Generated Images
One of the major challenges in no-reference (NR) image quality assessment (IQA) is the ability to generalize to diverse quality assessment applications. Recently, multi-modal vision-language models have been found to be ... -
An Efficient Hardware Accelerator for Ascon-128 Lightweight Authenticated Encryption
The recent growth in connected devices has made it exceedingly vital to safeguard data communicated by resource-constrained embedded systems in Internet of Things (IoT) applications such as smart grids, industrial automation ... -
A High-Performance Hardware Accelerator for Elliptic Curve Cryptography with Curve25519 and Curve448
In modern critical infrastructures such as power grids, the security of data transmitted among diverse smart devices has become increasingly crucial with the widespread adoption of digital communication technologies while ... -
Towards a Generalized Approach in Design-for-Testability for Analog & Mixed-Signal ICs
The increasing complexity of analog and mixed-signal integrated circuits (AMS ICs) poses significant challenges in ensuring their reliability and functionality through effective testing methodologies. Traditional ... -
IEDFuRL: A Black-box Fuzz Tester for IEC61850-based Intelligent Electronic Devices using Reinforcement Learning
Intelligent Electronic Devices (IEDs) are essential components of modern power grids, functioning as microprocessor-based controllers that facilitate communication, monitoring, protection, and control within Supervisory ... -
Physics-Informed Neural Network-Based Solution for the Poisson-Boltzmann Equation in an Independent Double-Gate MOSFET
Physics-Informed Neural Networks (PINNs) have emerged as a promising framework for solving partial differential equations (PDEs) by incorporating physical constraints into deep learning models. However, their convergence ... -
Enhancement Techniques for OTFS and Hybrid Reflection Modulation
Orthogonal time frequency space (OTFS) modulation and hybrid reflection modulation (HRM) are emerging technologies in wireless communications. OTFS provides robustness in high Doppler channels. HRM improves rate and ... -
Mitigating Bias via Algorithms with Fairness Guarantees
The rapid integration of automated decision-making systems in critical domains such as resume screening, loan approval, content recommendation, and disaster containment has raised significant concerns regarding biases in ... -
Dictionary Based Channel Estimation and Precoding Techniques for Massive MIMO Wireless Communication Systems
Massive multiple-input multiple-output (MIMO) systems constitute a promising enabling technique for 5G/6G cellular networks as a benefit of their substantial spatial multiplexing gain in both time division duplex (TDD) and ... -
Reasoning about Safety of Camera-Based Neural Network Controlled Systems
Autonomous technologies are becoming increasingly prevalent due to the numerous benefits they offer, including improved safety and security, enhanced accessibility for mobility-challenged individuals, and the ability to ... -
Algorithms for various cost criteria in Reinforcement Learning
In this thesis we will look at various Reinforcement Learning algorithms. We will look at algorithms for various cost criteria or reward objectives namely Finite Horizon, Discounted Cost, Risk-Sensitive Cost. For Finite ... -
Combinatorial Problems arising in Quantum Physics and Model counting
This thesis investigates some combinatorial problems arising in quantum physics and model counting. In particular, we develop new graph-theoretic techniques to resolve some open questions from quantum photonics. We also ... -
Feature Tracking and Visual Analysis of Temporal Scalar Fields in the Ocean
The Bay of Bengal (BoB) has maintained its salinity distribution over the years despite a continuous flow of fresh water entering it through rivers on the northern coast, which can dilute its salinity. This can be ... -
Neuromorphic Vision: Asynchronous and Sparse Processing of Event Camera Data
Modern systems, including edge computing, autonomous vehicles and robotics, face constraints, such as limited processing power and restricted battery energy, making computational efficiency a critical bottleneck for their ... -
RSMA Architectures for Downlink Communication Systems
Demand for the internet is increasing day by day, and the number of internet users is also growing drastically. Multiple access (MA) plays an important role in the fifth-generation (5G) and upcoming sixth-generation (6G) ... -
Electronic Devices using Low-Dimensional van der Waals Materials and Their Heterojunctions
As the state of the art in computation, communication and sensing advances, there is an ever-increasing search for novel materials and device architectures to satisfy the growing demands for more functionality, performance, ... -
Global Methods for Camera Motion Estimation
This thesis is a contribution towards the problem of Structure-from-Motion (SfM), which has been of interest to the 3D computer vision community for many decades. Structure-from-Motion falls under the class of 3D reconstruction ... -
Investigations on Pulse Width Modulation Techniques for Split-Phase Induction Motor Drives
A split-phase induction motor (SPIM) has two sets of identical three-phase windings. These two sets of windings are separated by 30◦ in space, which are, typically fed by a three-phase voltage source inverter (VSI) each. ... -
Parallel Algorithms for Efficient Utilization of Multiprocessor Architectures for Transient Stability
Computer hardware capabilities have been enormously increasing over the years. Multicore processors, graphic processing units (GPUs), and field programmable gate array (FPGA) accelerators have grown significantly recently. ... -
Fault Creation, Detection and Classification Systems for Modern Power Grids
The power grid is changing with the exponentially growing penetration of inverter-based resources (IBRs). Keeping the power grid stable, reliable, and secure, and delivering quality power has become increasingly important ...
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