This project focuses on developing an automated decision making system for Phased Array Ultrasonic Testing (PAUT). Our goal is to reduce the industry’s reliance on manual defect evaluation. PAUT is standard in aerospace, nuclear, and manufacturing sectors for checking safety critical components. However, current practices depend heavily on a technician’s experience to interpret complex scan […]

Ce projet développe une plateforme neuromorphique innovante qui associe des circuits analogiques (CMOS et memristors) à des circuits numériques sur FPGA pour créer des réseaux de neurones inspirés du cerveau, capables d’apprendre de manière autonome. Cette technologie permettra des systèmes embarqués plus rapides, plus économes en énergie et plus fiables, adaptés à la robotique et […]

The project explores how to enable robots to perform multi-step tasks in realistic, changing environments by integrating visual information in different aspects of planning. Instead of assuming a perfect internal map of all objects, we will use camera input both to understand the scene and to guide the robot’s decisions during planning and execution. Demonstrations […]

This project will review global research to understand how ready newcomer communities are for the use of Artificial Intelligence (AI) in community-based participatory research (CBPR) and how acceptable and trustworthy AI tools are in equity-focused CBPR. By examining what is known about digital access, language needs, cultural safety, trust, and concerns about bias, the project […]

Code review plays a key role in software development by helping teams understand why a change was made and how it fits into the broader project. A major part of this understanding comes from the commit message, which is supposed to accurately describe the intent and scope of the corresponding code changes. However, in many […]

This project aims to develop an optimal Agentic AI Framework for next-generation intelligent mobility systems. Rather than focusing on a single algorithm or application, the research seeks to establish a generalizable architecture that integrates advanced optimization methods with graph-based large language model orchestration. Demand-Responsive Transit (DRT) serves as the primary testbed due to its inherent […]

The growing number of renewable energy sources in Cambodia, such as solar farms, makes it more difficult to schedule power system operations to satisfy demand and save operating costs. Forecasting is one way to manage energy. An excessively high prediction accuracy indicates that managing the spatial energy in Economic Dispatch (ED) and Optimal Power Flow […]

Refactoring is an important software development activity that employs various techniques to enhance the structure and quality of source code without altering its functionality. Over the last two decades, researchers in the field have proposed several tools and techniques to enable automated refactoring. Despite a plethora of literature, though some steps can be automated, overall […]

When we sleep, the brain produces rhythmic patterns of activity that help us learn, remember, and maintain healthy function. Some of these patterns travel across the brain like waves. Scientists believe these traveling waves are important for how the brain processes information, but we still do not fully understand how they form or what they […]

Ensuring the long-term stability and security of widely-used software is a critical operational challenge. A key part of this is “backporting,” the high-stakes process of deciding which updates to apply to stable product versions. Currently, developers often make these crucial risk-versus-value judgments without formal, data-driven guidance. This project will develop an intelligent decision-support framework to […]

This project will develop and pilot-test a dual-function Generative AI chatbot to support student learning in an undergraduate course. The system will integrate: (1) a definition-retrieval component that provides course-aligned explanations drawn from the textbook, lecture slides, and instructor-approved materials, and (2) an assessment component that evaluates students’ written explanations of key concepts by comparing […]

Electric vehicle charging infrastructure has become a central component of transportation planning as adoption of electric vehicles accelerates worldwide. Modern research models how drivers choose a station using discrete choice models, especially multinomial logit, which capture realistic preferences such as distance, queues, and charging speed. These models are computationally expensive, making large-scale location planning challenging. […]