Tarek Najjar

Ankara Yıldırım Beyazıt University, Tokyo Institute of Technology

Papers

Total Citations

H-Index

About

Tarek Najjar’s research sits at the intersection of developmental robotics and the Internet of Things (IoT), with a focus on creating intelligent systems that learn and adapt like living organisms. His most notable contribution, “Self-Organizing Incremental Neural Network (SOINN) as a Mechanism for Motor Babbling and Sensory-Motor Learning in Developmental Robotics” (2013), introduces a groundbreaking approach to robotic learning. By mimicking infant motor babbling, Najjar’s SOINN framework enables robots to autonomously explore and refine their sensory-motor coordination without pre-programmed models—a key step toward truly adaptive machines. This work has garnered 4 citations and is foundational for researchers in developmental robotics. More recently, Najjar has applied his expertise to smart home technologies, co-authoring “Emerging Technologies for Internet of Things Refrigerator” (2022, 4 citations), which addresses food waste and health monitoring through IoT-enabled appliances. His dual focus on robotic cognition and practical IoT solutions demonstrates a rare ability to bridge theoretical learning algorithms with real-world applications. Najjar’s research continues to inspire new pathways in autonomous systems and ambient intelligence.