Member, BASU, Iran
Saeid Seyedi is a prominent Iranian researcher in the field of Computer Engineering, specializing in Quantum-dot Cellular Automata (QCA) and nanotechnology. He holds a Ph.D. from Bu-Ali Sina University and is a member of the Young Researchers and Elite Club at Islamic Azad University (IAU). Recognized among the world’s top 2% scientists by Stanford University, Saeid has made significant contributions in fault-tolerant hardware, low-power nanoelectronics, wireless sensor networks, and QCA-based technology. With an extensive publication record and active roles as a reviewer for prestigious journals, his research is disseminated globally. He is also involved in various research projects, aiming to advance nanotechnology and computational hardware. Saeid’s work has earned him recognition in both academic and professional circles, and he is committed to advancing knowledge in quantum computing, electronics, and nanoscience.
Profile
Education
Saeid Seyedi pursued his academic journey in Computer Engineering, earning his Master’s degree from the Islamic Azad University Science and Research Branch in Tabriz, Iran (2015-2017). His studies focused on Quantum-dot Cellular Automata (QCA) technology and its applications in nanoelectronics. After completing his Master’s degree, he continued his studies at Bu-Ali Sina University, where he is currently working towards his Ph.D. in Computer Engineering. His academic interests are deeply rooted in advanced computational systems, nanotechnology, and quantum computing, and he has shown a strong commitment to exploring the intersection of these fields. Saeid has been an active member of the Young Researchers and Elite Club at IAU since 2018, which further demonstrates his dedication to both learning and contributing to the academic community. His work continues to push the boundaries of nanoscale technologies and fault-tolerant hardware designs.
Research Focus
Saeid Seyedi’s research primarily revolves around Quantum-dot Cellular Automata (QCA) and nanotechnology, focusing on designing and optimizing nanoscale circuits for computing and electronics. His work aims to push the limits of conventional semiconductor technology by exploring QCA as a promising alternative for future electronics. He also delves into fault-tolerant hardware, ensuring the reliability of nanoscale systems in real-world applications. His interests extend to the application of nanotechnology in wireless sensor networks, IoT, and cloud computing. Another key area of his research involves low-power design techniques for nanoelectronics, ensuring energy efficiency in future computing systems. Additionally, Saeid has contributed to the development of image processing techniques in nanoscience, particularly in the context of nanoelectronics. Through his work, he seeks to contribute to the advancement of quantum computing, digital design, and the broader field of nanoelectronics, addressing critical challenges in the next generation of computational systems.
Publications
- An Approximate XOR-based Full-Adder in Quantum Cellular Automata ⚡🔬
- An Efficient New Design of Nano-Scale Comparator Circuits Using Quantum-Dot Technology 🧠⚙️
- Efficient Design and Implementation of Approximate FA, FS, and FA/S Circuits for Nanocomputing in QCA 🖥️🔧
- Quantum-Based Serial-Parallel Multiplier Circuit Using an Efficient Nano-Scale Serial Adder 🔢💡
- A Space-Efficient Universal and Multi-Operative Reversible Gate Design Based on Quantum-Dots 🌀🔗
- A Fault-Tolerant Image Processor for Executing the Morphology Operations Based on a Nanoscale Technology 🖼️🔒
- A New Nano-Scale and Energy-Optimized Reversible Digital Circuit Based on Quantum Technology ⚡💡
- An Efficient Structure for Designing a Nano-Scale Fault-Tolerant 2:1 Multiplexer Based on Quantum-Dot Cellular Automata 🔄⚙️
- Designing a Multi-Layer Full-Adder Using a New Three-Input Majority Gate Based on Quantum Computing 🧮💻
- Designing a Three-Level Full-Adder Based on Nano-Scale Quantum Dot Cellular Automata 🧑💻🔢
- Design and Analysis of Fault-Tolerant 1:2 Demultiplexer Using Quantum-Dot Cellular Automata Nano-Technology 🔄🔋
- A New Cost-Efficient Design of a Reversible Gate Based on Nano-Scale Quantum-Dot Cellular Automata Technology 🏷️🧠
- A New Coplanar Design of a 4-Bit Ripple Carry Adder Based on Quantum-Dot Cellular Automata Technology ⬆️🔢
- A Fault-Tolerance Nanoscale Design for Binary-to-Gray Converter Based on QCA 🔄💡
- Designing a New 4:2 Compressor Using an Efficient Multi-Layer Full-Adder Based on Nanoscale Quantum-Dot Cellular Automata 🔧💡