Browsing Electronic Systems Engineering (ESE) by thesis submitted date"2025"
Now showing items 1-8 of 8
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Cross-Layer Rate Adaptation in IEEE 802.11ax WLANs using Hybrid Feedback and Bayesian Learning Mechanisms
The rapid growth in wireless data demand has led to the evolution of IEEE 802.11 standards, with 802.11ax (Wi-Fi 6) aiming to improve spectral efficiency, throughput, and user experience in dense environments. A key ... -
Design & Synthesis of Scalable Analog Computing Systems
This thesis explores the potential of analog computing to meet the growing computational demands of power-intensive applications and evolving algorithms. While analog computation offers significant advantages in power ... -
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 ... -
Enhancing Blockchain Security and Efficiency: Solutions for Micropayments, Payment Channels, and IoT Applications
Blockchain technology has emerged as a transformative force, revolutionizing industries by enabling decentralized, transparent, and secure systems. However, despite its promise, blockchain faces critical challenges related ... -
ML based Intrusion Detection System for IEC 61850 MMS
Cyberattacks targeting operational technology (OT) systems, such as power grids, have evolved into highly sophisticated threats. In the last two decades state-sponsored adversaries have increasingly weaponized ... -
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 ... -
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 ... -
Scalable Solutions for Advancing the Performance and Reliability of 2D Transition Metal Dichalcogenides (TMDs)-Based Nanoelectronic Devices
The semiconductor device technology has evolved through the years by scaling down the device dimensions and changing device architecture to improve speed, power dissipation, packing density, and overall performance. To ...