REU Project Focus
Analyzing intrusion detection logs in IoT networks
Develop lightweight countermeasures to detect and prevent cyber threats in low-power networks.
Faculty Mentor: Dr. Wook-Sung Yoo
Emotional Analytics for Images
Have you ever wondered how computers can recognize emotions from images? In this REU project, students will explore the fascinating field of Emotional Analytics, where artificial intelligence (AI) is used to analyze facial expressions and determine emotions such as happiness, sadness, surprise, or frustration. By leveraging deep learning techniques and computer vision, participants will develop models capable of accurately interpreting human emotions from images. This research has powerful applications in mental health monitoring, human-computer interaction, and personalized user experiences.
Faculty Mentor: Dr. Haroon Malik
Innovative Railroad Maintenance System
Are you excited about transforming the future of transportation? In this innovative REU project, we aimed to create a maintenance warning system for railroads using cutting-edge computer vision and object detection technologies. This project offers a unique opportunity for undergraduate students to apply their machine learning and computer vision skills to a real-world problem that impacts safety and efficiency in the railway industry. By participating in this project, you will gain hands-on experience, collaborate with experts in the field, and contribute to pioneering solutions that could revolutionize railroad maintenance. Don’t miss the chance to be part of a team driving technological advancements—apply now and make a tangible difference!
Faculty Mentor: Dr. Husnu Narman
Immersive Virtual Reality for Enhanced Learning Environments
Have you ever imagined how virtual reality (VR) can transform the way we learn and interact with complex concepts? In this REU project, students will dive into the cutting-edge field of immersive virtual reality, exploring how VR technologies can create engaging and effective learning environments. Under the guidance of Dr. Tanvir Irfan Chowdhury, participants will design and develop VR applications that simulate real-world scenarios, enabling users to interact with and understand intricate subjects in fields such as science, engineering, and medicine. By combining principles of human-computer interaction, 3D modeling, and user experience design, students will create immersive experiences that enhance comprehension, retention, and engagement. This research has far-reaching implications for education, training, and beyond, offering new ways to make learning more accessible and impactful.
Faculty Mentor: Dr. Tanvir Irfan Chowdhury
Smart IoT-Driven Data Visualization for Decision Making
In this project, students will explore the intersection of the Internet of Things (IoT) and data analytics using Tableau, a leading visualization tool. Participants will collect real-time sensor data from IoT devices—such as temperature, motion, or environmental sensors—and develop interactive dashboards to monitor and analyze trends dynamically. By integrating IoT with Tableau, students will gain hands-on experience in collecting and processing IoT data, visualizing the data, and using data-driven insights to improve smart environments. This research has applications in smart cities, healthcare, and industrial monitoring, enabling users to make faster and more informed decisions based on live data. Whether you’re new to IoT or passionate about data visualization, this project provides a practical way to develop in-demand skills that bridge technology and decision-making.
Faculty Mentor: Dr. Yousef Fazea
Truth Tracker: Can AI Spot Fake News?
Fake news spreads fast—but can AI track how far a story drifts from the truth? This project dives into real news sources like AP and Reuters to uncover patterns in misinformation. Using AI and Machine Learning, we’ll analyze linguistic clues, detect deviations, and explore how fake news spreads. Instead of just labeling stories as true or false, we’ll measure their distance from reality. Join us to build cutting-edge tools that fight misinformation with data-driven insights!
Faculty Mentor: Dr. Char Sample
Understanding Virtual Reality Players
In this project, students will explore virtual reality (VR) game players through their in-game behaviors and post-experience reviews. The project may involve one or more of the following tasks: Developing a VR application, running a lab study, analyzing quantitative game data to determine behavior patterns, and analyzing qualitative data to understand player experiences. This project would be an excellent fit for students who are interested in games and/or virtual reality!
Faculty Mentor: Dr. Mehmet Kosa
