Team
People behind the work.
Naim leads the engineering direction at AIPlus Tech, focusing on AI systems, automation pipelines, and production-grade web platforms. His work prioritizes reliability, maintainability, and measurable outcomes — delivering solutions that remain stable under real operational use.
Our team combines software engineering discipline with applied research and prototyping. We build systems that are clear to maintain and designed to evolve — from automation and dashboards to embedded prototypes and analytics.
Dr. Seyed-Sajad Ahmadpour is an assistant professor and globally recognized expert in nanoelectronic circuit design. He currently serves at Istanbul Atlas University, focusing on the development of ultra-efficient hardware for quantum systems. Since 2022, Dr. Ahmadpour has been consistently ranked among the World's Top 2% Scientists by Stanford University, a testament to his high-impact research in the post-CMOS era. His work bridges the gap between theoretical quantum logic and practical circuit implementation, specifically in the areas of Quantum-dot Cellular Automata (QCA) and atomic silicon technology. A Senior Member of the IEEE, he has authored over 40 peer-reviewed articles and a foundational textbook on nanoelectronic circuit design. With more than 1,380 citations, his research continues to drive innovations in energy-aware computing and fault-tolerant architectures for the Internet of Things (IoT) and supercomputing.
Nima Jafari Navimipour is a distinguished professor and researcher currently serving in the Department of Computer Engineering at Kadir Has University in Istanbul, Turkey. His expansive research interests encompass green computing, cloud and distributed computing, the Internet of Things (IoT), computational intelligence, and quantum computing. A highly recognized scholar, he has been featured on Stanford University's list of the World's Top 2% and 1% Scientists and is a recipient of the Publons Top Peer Review Award.
Muhammad Zohaib is a dedicated researcher specializing in quantum computing and advanced circuit design. His core expertise lies in reversible logic, Quantum-dot Cellular Automata (QCA), atomic-scale silicon quantum dots, and approximate arithmetic for nanoscale architectures. He is deeply passionate about developing scalable, low-power, and high-performance nanoscale computing systems for future technologies. Currently pursuing his Ph.D. at Kadir Has University, he actively publishes in leading academic journals and conferences, maintaining ongoing collaborations within the reversible logic field and IBM's quantum computing ecosystem.