NYU’s PhD in Computer Engineering prepares students to advance hardware innovation across embedded systems, robotics, digital signal processing, and reconfigurable architectures. Students work on FPGA, ASIC design, and system-on-chip technologies while integrating AI, cybersecurity, and energy optimization. The program blends theoretical depth with hands-on prototyping. Graduates drive innovation in semiconductor, aerospace, automotive, and defense industries.
Design and implementation of RISC-V-based reconfigurable processors with real-time task scheduling in IoT devices
Low-power architecture for wearable biosignal processing using analog–digital hybrid techniques
Hardware acceleration of convolutional neural networks using FPGA-based systolic arrays
Development of secure microcontrollers with side-channel attack resistance using randomized timing logic
VLSI design for neuromorphic computing systems that mimic brain-like parallelism and energy efficiency
Designing a real-time object detection engine using multi-core embedded GPUs
Fault-tolerant design for mission-critical aerospace hardware in high-radiation environments
Implementation of decentralized swarm control in mobile robot collectives using wireless mesh networks
Cross-layer co-design of hardware and firmware for energy harvesting sensor nodes
Custom ASIC development for quantum key distribution protocol in secure communications
Secure boot protocols and trust anchors for critical embedded medical devices
Using digital twins to simulate and verify multi-core embedded control systems for autonomous vehicles
High-speed ADC interfacing with neural interface circuits for prosthetics control
Design and optimization of phase-locked loop (PLL) circuits for clock synchronization in communication chips
Battery-aware task scheduling in edge devices using embedded Linux platforms
Implementation of hardware-based facial recognition on ultra-low-power wearable systems
Developing IP cores for real-time cryptographic computation in industrial control systems
Thermal-aware placement and routing in multi-FPGA embedded systems for space applications
Design of error-correcting memory modules for resilient AI accelerators
FPGA-based real-time audio beamforming system for hands-free conference devices
Engineer next-gen hardware and smart systems with NYU’s Computer Engineering PhD.
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