The Master of Science in Electrical and Computer Engineering (ECE) at the University of Michigan provides a strong foundation in both theoretical and applied aspects of electrical and computer systems. Students develop advanced skills in digital and analog systems, machine learning integration, hardware design, and intelligent systems while conducting impactful research in next-gen technologies.
Design and Optimization of Energy-Efficient Embedded Systems
Application of Machine Learning in Predictive Maintenance for Industrial IoT
Development of Secure VLSI Architectures for Cryptographic Applications
FPGA-Based Real-Time Object Detection for Autonomous Vehicles
Wireless Sensor Networks for Smart Agricultural Monitoring
Low-Power CMOS Circuit Design for Medical Implants
Advanced Signal Processing Techniques for Brain-Computer Interfaces
5G mmWave Communication Challenges and Solutions
Robust Control Algorithms for Swarm Robotics
Power Electronics Optimization for Electric Vehicle Charging Systems
Modeling and Simulation of Quantum Dot Cellular Automata (QCA) Circuits
AI-Driven Fault Detection in Smart Grids
Design of MEMS-Based Sensors for Biomedical Applications
Image and Speech Recognition Using Convolutional Neural Networks
IoT-Based Real-Time Monitoring for Smart Home Automation
Development of Edge AI Systems for Mobile Devices
Cybersecurity Frameworks for Embedded Industrial Systems
Hardware Acceleration of Deep Neural Networks on FPGA Platforms
Battery Management Systems Using AI and Signal Estimation
Blockchain Integration in Smart Energy Metering Systems
This program is tailored for aspiring engineers and researchers who want to shape the future of intelligent systems, energy-efficient devices, and integrated technologies.
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