Mr. Arman Gheysari | Consensus Algorithms | Best Researcher Award

Mr. Arman Gheysari is a researcher in Computer Engineering at Amirkabir University of Technology, Tehran, Iran, with expertise in blockchain technology, distributed systems, fault tolerance, dependability, and reinforcement learning. His research is centered on improving the reliability, performance, and security of computing architectures and networked systems through advanced optimization and intelligent algorithms. Mr. Gheysari’s notable contribution includes the security-aware optimization of Proof-of-Work (PoW) blockchain performance using a Genetic Algorithm, published in Sustainable Computing: Informatics and Systems (2025), which introduces a systematic method to enhance blockchain efficiency without compromising its resilience to attacks. He has also worked on simultaneous optimization of network-on-chip (NoC) architectures using the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to achieve optimal trade-offs between latency, reliability, and buffer size constraints, significantly advancing scalable on-chip communication networks. In addition to his academic research, Mr. Gheysari holds patents on fault-tolerant and Byzantine-resilient system-on-chip (SoC) designs, where he integrates blockchain-based consensus mechanisms and Merkle tree analysis to detect and isolate faulty processing elements, ensuring robust and energy-efficient system performance. His interdisciplinary work effectively bridges blockchain systems, artificial intelligence, and hardware reliability engineering, contributing to the development of secure, adaptive, and high-performance distributed computing infrastructures. Through his innovative research, Mr. Gheysari continues to advance the fields of dependable computing and blockchain-based fault-tolerant systems.