Georgia Tech’s Computer Engineering BS fuses low-level silicon wizardry with high-level embedded AI. First-year makerspaces let students solder RISC-V dev boards; by senior year, teams tape-out ASIC prototypes in the Institute for Electronics and Nanotechnology cleanroom. Coursework spans digital logic, SoC design, FPGA acceleration, and cyber-physical security, while corporate sponsors such as NVIDIA and Keysight provide project funding and mentorship. Graduates exit fluent in Verilog, ROS, and edge-AI optimization—equally comfortable debugging power rails and TensorFlow kernels.
FPGA-based CNN accelerator for real-time drone vision
Ultra-low-power RISC-V microcontroller with on-chip wake-word detection
PCB design of open-source smart-meter for energy analytics
Side-channel attack mitigation techniques for IoT healthcare devices
Neuromorphic chip emulator benchmarking spiking neural networks
Wireless sensor network for structural-health monitoring of bridges
ARM-trusted-firmware extension enabling secure boot on consumer wearables
Edge-computing gateway integrating LoRa and 5G for smart agriculture
High-speed SerDes interface design for PCIe Gen5 boards
Automotive ECU prototype implementing secure over-the-air updates
TinyML gesture-recognition model running on MCU with 32 kB RAM
OpenCL compiler toolchain for heterogeneous drone-swarm processing
Laser-fabricated flexible PCB for biomedical skin-patch sensors
Hardware-in-the-loop simulation platform for autonomous-vehicle SOCs
Self-healing power grid micro-controller with distributed consensus
Fuse hardware and AI—engineer the intelligent edge at Georgia Tech.
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