Division of Electrical, Electronics, and Computer Science (EECS)
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Enhancing THC/NOX removal efficiency in diesel exhaust through catalyzing industrial wastes in the presence of electric discharge plasma
The consistent rise in air quality index in various cities has risen a worldwide concern toward the critical situation of air pollution and climate change. Despite the implementation of stringent regulations, the usage of ... -
Streaming Codes for Low-Latency Communication over Various Sliding-Window Channel Models
Streaming codes are packet-level codes that recover dropped (i.e., erased) packets within a decoding-delay deadline. A common model for packet erasures over a network is the Markov, two-state Gilbert-Elliott (GE) channel ... -
Self-Supervised Learning Approaches for Content-Factor Extraction from Raw Speech
The rapid expansion of digital data has led to a growing interest in self-supervised learning (SSL) techniques, particularly for speech processing tasks where labeled data is often scarce. SSL enables models to learn ... -
Design of AI-based Computational Framework for Accurate Detection of Polycystic Ovarian Disease and Ovarian Cancer Using Ultrasound, CT and Histopathology Images
Polycystic Ovarian Disease (PCOD) and Ovarian Cancer (OC) represent critical health challenges affecting millions of women globally. Early and accurate detection of these conditions is essential for effective clinical ... -
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 ... -
Sampling, Recovery, and Learning Methods for Graphs and Simplicial Complexes
Many datasets are often supported by irregular non-Euclidean domains. Graph signal processing (GSP) and topological signal processing (TSP) enables effective processing of such data by modeling interactions among data ... -
Remedies for Different Impairments in Orthogonal Time Frequency Space Systems
Embargo up to 15/7/2026 Orthogonal time frequency space (OTFS) has emerged as a promising multiplexing tech nique for future wireless communications. In OTFS-based systems, the information symbols are represented in a ... -
Sparse Input Novel View Synthesis of Dynamic Scenes
Novel view synthesis involves generating unseen perspectives of a scene based on videos captured from limited viewpoints. It is an interesting problem in computer graphics and computer vision, with many applications such ... -
Controller Synthesis Techniques for Infinite-State Reactive Systems
Reactive systems are ubiquitous, with various use cases ranging from controllers for cyber-physical systems to programs that run on multipurpose computers. A system is reactive if it continually behaves in a specific manner ... -
Inter-Numerology and Inter-Carrier Interference in Mixed-Numerology OFDM Systems
Mixed-numerology has been adopted in the orthogonal frequency division multiplexing (OFDM)-based physical layer of 5G new radio (NR) to serve diverse use cases and services. The subcarriers of different numerologies have ... -
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 ...
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