Current Funded Research Projects
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Diving Into The Future Of Infrared Technology: Research, Workforce and Education
Forget the constant game of hide-and-seek with darkness. Infrared technology, pioneered by experts like Nibir Dhar, Ph.D. offers a superpower…
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Diving into NETWORK TOUCH: Human Haptic Perception for Network Traffic Monitoring and Situational Awareness
Imagine a world where network security isn’t a constant headache for overworked admins. That’s the dream behind NetworkTouch. Tamer Nadeem,…
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Weakly-supervised Federated Graph Learning for Cyber-Physical Systems
PI Jundong Li, Ph.D. This research is about making computer systems work better together, even with limited and unreliably labeled…
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CRIPTAG – Computational RFID for Privacy and Trust in IoT Applications
PI Mircea R. Stan, Ph.D. , Robert Klenke, Ph.D. The CRIPTAG project is working on making smart city technologies safer…
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GNNs for Smart Infrastructure Systems with Large Number of Heterogeneous IoT Sensors
PI Negin Alemazkoor, Ph.D. This research focuses on efficiently managing the large volumes of IoT sensor data in smart cities…
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Building a Connected Future: Advancing OpenCyberCity forCollaborative Research, Education and Innovation
PI Sherif Abdelwahed Ph.D., Brittany Davis Ph.D. This research project aims to improve OpenCyberCity, a smart city testbed, by expanding…
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Low-cost and Long-lasting Soil Moisture Sensing with WiFi Signals and Energy Harvesting
PI Eyuphan Bulut, Ph.D. This research aims to create a cost-effective, reliable soil moisture sensor for better agricultural water use.
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Machine Learning based CAN Bus Data Attack Detection in Autonomous Vehicles
PI Haiying Shen, Ph.D., Yanxiao Zhao, Ph.D. This research aims to improve cybersecurity for autonomous vehicles by using machine learning…
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SafePath: Automated Extraction of Temporal Logic Based Trajectory Embeddings for Enhanced Autonomous Vehicle Safety
PI Madhur Behl, Ph.D. This research presents SafePath, a new method for evaluating and comparing autonomous vehicle safety by analyzing…
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Low Resource Edge Hardware Autoencoders for Anomaly Detection in Smart Cities Networks (LEADS)
PI Jayasimha Atulasimha, Ph.D. This research aims to develop AI tools for efficient real-time anomaly detection in smart city networks…
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