Princeton's Ph.D. in Electrical Engineering program equips scholars to push boundaries in high-frequency electronics, machine learning hardware, and sustainable systems. The following dissertation topics enable impactful, future-ready research contributions.
Design of Low-Power Neuromorphic Chips for Edge AI
Terahertz Communication Circuits for 6G Networks
Quantum Dot Lasers for Optical Interconnects
Energy-Efficient FPGA Architectures for Deep Learning
Real-Time Signal Processing in Biomedical Imaging Systems
Photonic Crystals for Advanced Light Manipulation
High-Resolution Radar Systems for Autonomous Navigation
Analog-Digital Co-Design for Neural Network Accelerators
RF Circuit Design for Wearable Wireless Health Monitoring
Secure Hardware Architectures for IoT Devices
Wireless Power Transfer in Smart Transportation Infrastructure
Nonlinear Signal Recovery Using Sparse Approximation
Design Automation for Emerging Non-Volatile Memory
Adaptive Beamforming Algorithms for Satellite Communication
Microwave Photonics for High-Frequency Spectrum Analysis
Embedded System Design for Real-Time Audio Processing
Edge AI Acceleration with Reconfigurable Hardware
Nanofabrication Techniques for Flexible Electronics
Integrated Circuits for Quantum Sensing Applications
Robust Control Systems in Energy Grid Microcontrollers
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