Liyanage C. De Silva

Papers

Total Citations

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About

Liyanage C. De Silva is a pioneering researcher at the intersection of medical robotics, artificial intelligence, and embedded systems. His work primarily focuses on developing intelligent healthcare solutions and optimizing robotic control systems through advanced computational architectures. De Silva’s most cited paper, "Medical Robotics and AI-Assisted Diagnostics Challenges for Smart Sustainable Healthcare" (2024, 15 citations), addresses the transformative role of AI and the Internet of Medical Things (IoMT) in revolutionizing patient data management, surgical procedures, and healthcare delivery. This work highlights critical challenges and pathways toward sustainable, smart healthcare systems. Additionally, his research on "Implementation of Folding Architecture Neural Networks into an FPGA for an Optimized Inverse Kinematics Solution of a Six-Legged Robot" (2013, 6 citations) demonstrates innovative hardware-level solutions for complex robotic motion control, overcoming memory constraints in embedded systems. By combining neural network architectures with FPGA implementation, De Silva has contributed to more efficient, real-time robotic control—particularly for multi-legged robots. His work bridges theoretical AI with practical hardware deployment, making significant strides toward autonomous, intelligent systems in both medical and industrial domains.