معرفی
Saeed Malekshahi Gheytassi is a Principal Lecturer at the School of Architecture, Technology and Engineering at the University of Brighton, and affiliated with the Centre for Regenerative Medicine and Devices. His work bridges artificial intelligence, medical applications, robotics, and intelligent systems.
- University: University of Brighton
- School: School of Architecture, Technology and Engineering
- Position: Principal Lecturer
- Research Centre: Centre for Regenerative Medicine and Devices
His research focuses on the application of AI in medical diagnosis and treatment planning, robotic systems, unmanned vehicle navigation, intelligent agent behavior, and sensor fusion for heterogeneous technologies. He explores neural network architectures, particularly two-hidden-layer feedforward models, to optimize performance and topology.
The recent articles highlight a strong trend in neural network optimization, especially in determining optimal hidden layer configurations, node ratios, and topology search algorithms. These works fall within the broader domains of machine learning, AI, and computer science, with applications extending to mobile networks and medical systems.
Scientific Awards:
- No awards listed in the provided text.
He has supervised at least one research project and is open to advising students in AI-related domains. While no external grants are explicitly mentioned, his external role as a UNESCO Consultant from 2004 to 2009 reflects professional recognition. His research outputs suggest active involvement in both theoretical and applied AI.
He is associated with research in neural networks and AI systems, contributing to academic discourse through peer-reviewed publications in conferences and journals. His work is supported by affiliations with key research groups at the University of Brighton.
