Nanang Rohadi
Papers
1
Total Citations
2
H-Index
1
About
Nanang Rohadi is a researcher at the forefront of applied artificial intelligence and robotics, with a particular focus on computer vision and smart healthcare systems. His work bridges the gap between advanced machine learning techniques and real-world medical applications, notably through the development of face liveness detection using Convolutional Neural Networks (CNNs) for face verification on medical robots. This contribution addresses critical security and reliability challenges in autonomous healthcare assistants, ensuring that robotic systems can distinguish between live human faces and spoofing attempts—a vital capability for patient interaction and data security. While his most-cited paper has garnered 2 citations, its significance lies in its timely response to the demands of Society 5.0, which emphasizes creativity, critical thinking, communication, and collaboration. Rohadi’s research exemplifies how these competencies can be harnessed to solve pressing technological problems, positioning him as a contributor to the next generation of intelligent, human-centric robotic systems. His work continues to inspire students and researchers exploring the intersection of deep learning, robotics, and medical innovation.
Research Focus
Key Achievements
Top Papers
- 1Face Liveness Detection Using CNN for Face Verification on Medical Robot2 citations · 2022