Siti Fairuz Nurr Sadikan
Papers
2
Total Citations
3
H-Index
1
About
Siti Fairuz Nurr Sadikan is an emerging researcher whose work bridges robotics, the Internet of Things (IoT), and educational technology. Her primary research areas include self-balancing robotic systems, smart attendance automation, and the integration of facial recognition with IoT for real-world applications. In her 2023 study, she developed a self-balancing robot using a complementary filter and Arduino platform, demonstrating a practical approach to stabilizing two-wheeled mobile robots—a foundational contribution to mobile robotics education and prototyping. Her 2024 work introduced "Smart Attendance in Classroom (CObot)," an IoT-based system employing facial recognition to eliminate proxy attendance and streamline classroom management. By addressing the vulnerabilities of manual and QR-code methods, this system offers a scalable, entrepreneurial solution with significant impact on educational efficiency and integrity. Though early in her career, Sadikan’s work has already garnered attention, with her most-cited paper accumulating 2 citations. Her focus on low-cost, accessible technologies positions her as a promising contributor to affordable automation and smart campus innovations.
Research Focus
Key Achievements
Top Papers
- 1
- 2