As we develop the future of technology, electrical engineers will be an important part of the process, often leading the way. The Ph.D. in Electrical Engineering & Computer Science at Embry-Riddle prepares graduates to conduct research into emerging fields that represent both hardware and software.

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Dissertations - Open Access

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Advanced Manufacturing and Dielectric Material Characterization Techniques for High-Temperature mm-Wave Antennas, Seng Loong Yu

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Data-Efficient Machine Learning with Focus on Transfer Learning, Shuteng Niu

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Deep CNN-Based Automated Optical Inspection for Aerospace Components, Shashi Bhushan Jha

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Efficient Privacy-Aware Imagery Data Analysis, Yifan Tian

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Hardware Security for Wireless Communications Systems using Antenna-based Radio Frequency Fingerprint Engineering, Noemi Miguelez Gomez

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Machine Learning and Artificial Intelligence Methods for Cybersecurity Data within the Aviation Ecosystem, Anna Baron Garcia

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Machine Learning for Intrusion Detection into Unmanned Aerial System 6G Networks, Faisal Alrefaei

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Machine Learning for Unmanned Aerial System (UAS) Networking, Jian Wang

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Real-Time Machine Learning for Quickest Detection, Yongxin Liu

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Resilience Model for Teams of Autonomous Unmanned Aerial Vehicles (UAV) Executing Surveillance Missions, Robert Koeneke

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Robotic Olfactory-Based Navigation with Mobile Robots, Lingxiao Wang

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Scenario-Based Development and Verification of Domain-Specific Languages, Bharvi Chhaya

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Supporting the Discovery, Reuse, and Validation of Cybersecurity Requirements at the Early Stages of the Software Development Lifecycle, Jessica Antonia Steinmann

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Thruster Communication for Subsurface Environments; Turning Waste Noise into Useful Data, Stephen Cronin

Dissertations - ERAU Login Required

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A Study of Additively Manufactured 3D Antennas and Passive Wireless Sensors for Harsh Environments., Carlos Mejias