The Doctor of Philosophy in Electrical and Computer Engineering program at the University of Texas at Austin prepares students for innovative research in electrical engineering, computer systems, robotics, and communication networks. Students contribute to advancements in microelectronics, artificial intelligence, and signal processing, impacting industries from telecommunications to healthcare.
Designing an AI-Powered System for Real-Time Speech Recognition
Investigating the Role of Microelectronics in Future Computing Devices
Designing a Robotic System for Autonomous Navigation in Urban Environments
Exploring the Role of Signal Processing in Medical Imaging
Designing an Advanced Communication System for 5G Networks
Investigating the Use of AI in Robotics for Industrial Automation
Designing a Wireless Sensor Network for Environmental Monitoring
Exploring the Role of Machine Learning in Wireless Communication Systems
Designing a High-Efficiency Power Conversion System for Renewable Energy
Investigating the Role of Quantum Computing in Electrical Engineering
Designing an Advanced Algorithm for Image Processing in Autonomous Vehicles
Exploring the Use of Signal Processing in Acoustic Sensing Systems
Designing a Low-Power Embedded System for Internet of Things (IoT) Applications
Investigating the Use of Deep Learning for Image Classification in Computer Vision
Designing an Integrated Circuit for High-Speed Data Processing
Exploring the Use of 3D Printing in the Fabrication of Microelectronic Devices
Designing a Secure Communication Protocol for IoT Devices
Investigating the Use of Augmented Reality in Engineering Applications
Designing a Real-Time Video Compression System for Streaming Applications
Exploring the Role of Electrical Engineering in Smart Grid Technology
Designing a Machine Learning Algorithm for Real-Time Video Analytics
Investigating the Role of Microelectromechanical Systems (MEMS) in Modern Electronics
Designing an Efficient Power Distribution System for Smart Homes
Lead innovations in electrical engineering, robotics, and signal processing with UT Austin’s Ph.D. program in Electrical and Computer Engineering.
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