Assist. Prof. Dr. HamidReza Ahmadifar, University of Guilan, Iran
Dr. HamidReza Ahmadifar is an Assistant Professor in the Computer Engineering Department at the University of Guilan, Iran. He earned his Ph.D. in Computer Engineering from Shahid Beheshti University in 2013. His research focuses on Cloud Computing ☁️, Blockchain Applications 🔗, Computer Architecture 🖥️, and Approximate Computing ⚡. He has contributed to multiple research projects, published in reputable journals, and serves as a reviewer for IEEE and other high-impact publications. His innovative work includes a blockchain-based model for counterfeit detection in logistics. Passionate about technological advancements, he continues to shape the future of computing. 🚀
Publication Profile
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Professional Background
Assist. Prof. Dr. HamidReza Ahmadifar 🎓 earned his Ph.D. in Computer Engineering from Shahid Beheshti University, Tehran, Iran, in 2013. Currently, he serves as an Assistant Professor in the Computer Engineering Department at the University of Guilan, Rasht, Iran 🏛️. His research focuses on Computer Architecture 🖥️, Approximate Computing 🤖, Cloud Computing ☁️, and Blockchain Applications 🔗. With a strong academic background and expertise in emerging technologies, Dr. Ahmadifar actively contributes to advancing computational methodologies and innovative digital solutions, shaping the future of computing and technology. 🚀
Professional Memberships
Assist. Prof. Dr. HamidReza Ahmadifar 🎓 is an active member of the academic and research community, contributing as a reviewer for prestigious journals. He serves as a reviewer for the IEEE Open Journal of Intelligent Transportation Systems 🚗💡, where he evaluates cutting-edge research on smart mobility and transportation technologies. Additionally, he reviews for Computers in Biology and Medicine 🧬💻, assessing innovative studies at the intersection of computing and healthcare. His commitment to peer review ensures the quality and advancement of scientific research, reinforcing his influence in both computing and interdisciplinary applications. 🔍📚
Technical Contributions
Assist. Prof. Dr. HamidReza Ahmadifar 🎓 has made significant contributions to technological innovation, particularly in counterfeiting detection. His groundbreaking research utilizes blockchain technology 🔗 and GPS systems 📍 to enhance product authentication without relying on additional IoT sensors. This innovative approach ensures both cost-effectiveness 💰 and high security 🔒, making implementation more accessible across industries. By eliminating extra hardware requirements, Dr. Ahmadifar’s model streamlines authentication processes while maintaining reliability and authenticity. His work represents a major advancement in digital security, reinforcing trust in supply chains and counterfeit prevention solutions. 🚀
Collaborations
Assist. Prof. Dr. HamidReza Ahmadifar 🎓 actively collaborates with industry and academia, contributing to four consultancy and industry projects 🏭🔍 that bridge research with real-world applications. His ability to translate theoretical knowledge into practical solutions ⚙️ highlights his impact in the field. Additionally, his involvement in collaborative research papers 📄🤝 showcases his commitment to knowledge sharing and teamwork. Through these partnerships, Dr. Ahmadifar plays a key role in advancing cutting-edge technologies 🚀 while fostering innovation across multiple domains. His contributions strengthen the connection between academic research and industry-driven technological advancements. 🔗
Research Focus
Assist. Prof. Dr. HamidReza Ahmadifar’s research primarily focuses on computer architecture 🖥️, digital systems ⚙️, artificial intelligence 🤖, and blockchain applications 🔗. His work includes innovations in Residue Number Systems (RNS) ➗, hardware-efficient computing 🏗️, and digital arithmetic optimization 📊. He has contributed to modular arithmetic, reconfigurable computing 🛠️, and image processing 🖼️. Additionally, his studies extend to deep learning-based systems 🧠, cloud computing ☁️, and cybersecurity 🔐. His interdisciplinary research integrates signal processing 📡, transport security 🚛, and smart cities 🌆, impacting various technological domains.
Publication Top Notes
A New Residue Number System with 5-Moduli Set: {22q, 2q±3, 2q±1}
Estimation of (vapour + liquid) equilibrium of binary systems (tert-butanol + 2-ethyl-1-hexanol) and (n-butanol + 2-ethyl-1-hexanol) using an artificial neural
A ROM‐less reverse RNS converter for moduli set {2q ± 1, 2q ± 3}
Improved modulo-(2n ± 3) multipliers
Reducing reconfiguration time of reconfigurable computing systems in integrated temporal partitioning and physical design framework
Application of image processing techniques for quality control of mushroom
Dmap: A distributed blockchain-based framework for online mapping in smart city
Performance of HEVC discrete cosine and sine transforms on GPU using CUDA
Adder-Only Reverse Converters for 5-Moduli Set {2^q,2^q-1,2^(q+1)±1,2^(q+2)-1}