Max Robotics — Global Service Robot Directory + US Certification

About

Ahmed A. Elngar is a prolific researcher working at the dynamic intersection of artificial intelligence, robotics, and educational technology. His work spans several cutting-edge domains, including AI ethics, quantum robotics, federated learning, and the Internet of Things, positioning him as a versatile contributor to the rapidly evolving technological landscape. Elngar's most influential contribution, "Framework for Evaluating Ethics in AI" (2023), has garnered 19 citations, reflecting the urgency of ethical considerations as AI permeates smart cities, healthcare, and autonomous vehicles. His exploration of quantum robotics and its transformative potential in educational social interaction demonstrates his forward-thinking approach to human-machine collaboration. Notably, his research on IoT-enabled robotic waiters (2021) bridges practical automation challenges with real-world hospitality applications, accumulating 8 citations alongside his quantum robotics work. More recently, Elngar has turned his attention to federated learning as a privacy-conscious paradigm for personalized language education, alongside investigating how robot-based tools can foster computational thinking in EFL classrooms. Collectively, his body of work reflects a commitment to making emerging technologies both ethically grounded and pedagogically meaningful, offering valuable insights for researchers navigating the future of AI-driven education and automation.