Yahya Iranmanesh is an Instructor at Azad University and a Ph.D. candidate in Computer Engineering, specializing in Computer Systems Architecture. His doctoral research is centered on the design and development of advanced hardware accelerators for neural networks.
Research Overview#
His research addresses fundamental challenges in deploying artificial intelligence on hardware platforms with limited computational resources. Specifically, he has:
- Conducted advanced research in hardware-aware neural network optimization
- Designed novel hardware accelerators focusing on computational performance, power efficiency, and scalability
- Developed FPGA-based prototypes for neural network acceleration
- Designed custom Neural Processing Units (NPUs)
- Implemented AI models directly on embedded devices
- Explored parallelization techniques and quantization strategies for low-latency inference pipelines
His research integrates AI model design with hardware-software co-design methodologies, ensuring that embedded systems achieve both efficiency and reliability in practical industrial and research environments.
Industrial Applications#
In the industrial sector, Dr. Iranmanesh works on designing fully automated production lines and converting manual machines into automated systems for various companies. His applied research has led to implementations in:
- Intelligent robotics
- Machine vision systems
- Industrial automation
- Autonomous control systems
Software Development#
Additionally, he develops and implements dedicated software for full office automation platforms across multiple organizations. These platforms are AI-driven and incorporate:
- Intelligent process automation
- Digital assistant systems
- Customer relationship management tools
- Sales optimization and workflow efficiency systems
By integrating machine learning and AI algorithms, these systems enable organizations to automate repetitive tasks, provide intelligent recommendations, and improve overall operational productivity and decision-making processes.
Explore My Work#
To better organize my academic, research, and educational activities, my work is presented across two dedicated platforms.
🔬 Academic Portfolio#
A dedicated space for my research, publications, patents, and academic background. This platform serves as the scientific hub of my work, where I document peer-reviewed research, technical contributions, and ongoing investigations in hardware acceleration and embedded AI.
Focus areas: Research papers · Patents · Academic CV · Scholarly collaborations
🎓 Iran Robotics#
A learning platform dedicated to technical education and practical training in robotics, embedded systems, and industrial automation. It offers structured courses, tutorials, and hands-on projects designed for students, engineers, and technicians who want to build real-world skills.
Focus areas: Online courses · FPGA & PIC tutorials · Industrial projects
Each platform reflects a distinct dimension of my professional mission: advancing scientific knowledge on one side, and empowering the next generation of engineers on the other.
