Siti Aishah Abdul Aziz
Universiti Malaysia Pahang Al-Sultan Abdullah, Universiti Teknologi MARA
Papers
2
Total Citations
10
H-Index
2
About
Siti Aishah Abdul Aziz is a rising researcher in the field of smart materials, specializing in magnetorheological (MR) foams and their applications in soft robotics and adaptive structures. Her work focuses on the synthesis, characterization, and predictive modeling of these magnetic polymer composites, which can change their mechanical properties in response to magnetic fields. In her most-cited paper (2022, 8 citations), she pioneered the use of machine learning—specifically extreme learning machines—to predict the magnetostriction behavior of MR foams, offering a powerful tool for designing soft sensors and actuators. Her 2025 study (2 citations) provides critical viscoelastic and structural insights, demonstrating how constraint volume foaming processes significantly enhance the storage modulus and damping capability of MR foams at higher frequencies. This work highlights the material’s superior elastic energy storage efficiency and frequency-dependent responses, making it promising for vibration control and adaptive damping systems. Through her innovative integration of experimental rheology and computational modeling, Aziz is advancing the practical deployment of MR foams in next-generation soft robotics and smart devices, establishing herself as a key contributor to the field of intelligent materials engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2