Rabih Younes

CAD‐AG: A Webapp for CAD‐Tool‐Independent Autograding of Two‐Dimensional CAD Drawings

Jian Xiao, Wenqing Pan, Rabih Younes

ABSTRACT Manual grading of engineering drawing assignments is often time‐consuming, inconsistent, and error‐prone, particularly in large‐scale engineering education. To address these challenges, we present “CAD‐AG”, an automated grading system designed to evaluate two‐dimensional engineering drawings exported from any CAD tool in DXF …

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WIP: Understanding and Addressing Barriers to Industry Engagement in Undergraduate Engineering Programs

Brahim Medjahed, John J. Cristiano, Sebastian Dziallas, Jean Huang et autres

This work-in-progress research-to-practice paper presents an early-stage study aimed at advancing meaningful industry engagement in undergraduate engineering education. While such collaborations offer clear benefits for student motivation, skill development, and career readiness, their adoption remains limited. To explore current practices and barriers, …

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Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review

Lucy Chikwetu, Parker Vakili, Andrew Takais, Rabih Younes

BACKGROUND: Diet-related diseases, such as type 2 diabetes, require strict dietary management to slow down disease progression and call for innovative management strategies. Conventional diet monitoring places a significant memory burden on patients, who may not accurately remember details of their meals …

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Carbohydrate Content Classification Using Postprandial Heart Rate Responses from Non-Invasive Wearables

Lucy Chikwetu, Rabih Younes

The rising incidence of type 2 diabetes underscores the need for technological innovations aimed at enhancing diabetes management by aiding individuals in monitoring their dietary intake. This has resulted in the development of technologies capable of tracking the timing and content of …

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Predicting Student Performance Using Discussion Forums' Participation Data

Mac Gray, Rabih Younes

Abstract A significant gap in education lies in the need for mechanisms that enable early detection of potentially at-risk students. Through access to an earlier prediction of student performance, instructors are given ample time to meet with and assist under-achieving students. As …

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ChatGPT v.s. media bias: A comparative study of GPT-3.5 and fine-tuned language models

Zehao Wen, Rabih Younes

In our rapidly evolving digital sphere, the ability to discern media bias becomes crucial as it can shape public sentiment and influence pivotal decisions. The advent of large language models (LLMs), such as ChatGPT, noted for their broad utility in various natural …

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Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review (Preprint)

Lucy Chikwetu, Parker Vakili, Andrew Takais, Rabih Younes

BACKGROUND Diet-related diseases, such as type 2 diabetes, require strict dietary management to slow down disease progression and call for innovative management strategies. Conventional diet monitoring places a significant memory burden on patients, who may not accurately remember details of their meals …

Real-time Blind Deblurring Based on Lightweight Deep-Wiener-Network

Charlie Haywood, Rabih Younes

In this paper, we address the problem of blind image deblurring with high efficiency. We propose a set of lightweight deep-Wiener-networks to achieve the task with real-time speed. The network contains a deep neural network for estimating the parameters of Wiener networks …

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Self-supervised Multi-Modal Video Forgery Attack Detection

Chenhui Zhao, Xiang Li, Rabih Younes

Video forgery attacks threaten surveillance systems by replacing the video captures with unrealistic synthesis, which can be powered by the latest augmented reality and virtual reality technologies. From the machine perception aspect, visual objects often have RF signatures that are naturally synchronized …

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Predicting Stocks Changes Using News Sentiment Analysis

Ashwin W. Joshi, Rabih Younes

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Recovering Surveillance Video Using RF Cues

Xiang Li, Rabih Younes

Video capture is the most extensively utilized human perception source due to its intuitively understandable nature. A desired video capture often requires multiple environmental conditions such as ample ambient-light, unobstructed space, and proper camera angle. In contrast, wireless measurements are more ubiquitous …

Self-supervised Multi-Modal Video Forgery Attack Detection

Chenhui Zhao, Xiang Li, Rabih Younes

Video forgery attack threatens the surveillance system by replacing the video captures with unrealistic synthesis, which can be powered by the latest augment reality and virtual reality technologies. From the machine perception aspect, visual objects often have RF signatures that are naturally …