Design smart hardware and embedded systems with NYU’s MS in Computer Engineering.
Designing a real-time fire detection IoT sensor
Building a custom RISC-V processor on FPGA hardware
Face recognition security system using edge computing
Autonomous robot navigation using sensor fusion and PID control
Bluetooth-enabled wearable device for activity tracking
Power-efficient embedded system for home automation
Developing a neural network accelerator using FPGA logic blocks
Digital lock system with multi-factor authentication
Designing a PCB for motor control applications
Creating a fault-tolerant memory interface design
IoT-based greenhouse monitoring with mobile alerts
FPGA implementation of digital signal filtering
Secure firmware update system for IoT devices
Custom BIOS development for secure boot processes
Comparing performance of ARM and AVR microcontrollers
Simulation of network-on-chip communication performance
Optimizing battery life in wearable sensor networks
High-speed data acquisition system using DMA controllers
Designing a drone flight controller using real-time OS
Embedded C programming for medical monitoring systems
Invent smarter hardware and embedded systems with NYU’s Computer Engineering MS program.
Whether it's Machine Learning, Data Science, or Web Development, Collexa is here to support your academic journey.
"Collexa transformed my academic experience with their expert support and guidance."
Computer Science Student
Reach out to us for personalized academic assistance and take the next step towards success.