Ph.D. Candidate in Computer Engineering
Yahya Iranmanesh
Hardware Acceleration for Neural Networks | FPGA | Embedded AI
Yahya Iranmanesh, Ph.D. Candidate
Instructor, Department of Computer Engineering Islamic Azad University, North Tehran Branch
Welcome
Welcome to my academic portfolio. I am a Ph.D. candidate in Computer Engineering (Computer Systems Architecture) and an instructor at Islamic Azad University. My research focuses on the design and implementation of novel hardware accelerators for neural networks, with particular emphasis on optimizing computational performance, minimizing power consumption, and enhancing scalability for complex artificial intelligence models.
My work bridges the gap between high-performance neural network algorithms and resource-constrained hardware platforms, enabling efficient deployment of AI-embedded systems across real-time applications including intelligent robotics, machine vision, industrial automation, and autonomous control systems.
Research Interests
- Hardware Acceleration for Neural Networks
- FPGA-Based Prototyping and Implementation
- Neural Processing Unit (NPU) Design
- Embedded AI Systems
- Hardware-Software Co-Design Methodologies
- Machine Vision Systems
- VLSI Design and Digital Electronics
- Computer and System Architecture
