Principal Investigator
Nur Syazreen Ahmad received her B.Eng degree in Electrical and Electronic Engineering from the University of Manchester, United Kingdom, and her Ph.D degree in Control Systems from the same university. She is currently an Associate Professor at the School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM), with a specialization in intelligent control, sensor networks, and mobile robotics. Her current research focuses on autonomous systems, emphasizing intelligent optimization strategies for motion control, multi-modal sensing, indoor navigation, and human-robot interaction. Her work consistently aims to bridge the gap between theoretical principles and practical applications, striving to translate cutting-edge research into tangible, real-world solutions. Dr. Nur Syazreen was recently recognized by Stanford University among the Top 2% of Scientists in the World in the fields of Industrial Engineering and Automation, under the Citation Impact category.
Call for Papers
Special Collection: Innovations in Advancing Service Robotics
As the Lead Guest Editor for this Special Collection in International Journal of Advanced Robotic Systems (a WoS-indexed journal, Impact Factor: 2.1), I invite researchers and practitioners to submit original contributions on cutting-edge developments in service robotics. The collection focuses on intelligent automation, human-robot interaction, robust/adaptive control, and autonomous navigation, with applications across healthcare, logistics, hospitality, and personal assistance.
Details of this special collection can be viewed here.
Co-Researchers
Co-researchers involved in Dr. Syazreen’s projects, which encompass both theoretical foundations and practical applications, constitute a diverse team of experts. This team includes engineers from the electrical and electronic industries, who bring specialized knowledge in sensing technologies and embedded systems, alongside Dr. Syazreen’s dedicated postgraduate students, who concentrate on improving system performance through theoretical approaches. Together, this collaborative group is committed to integrating advanced AI-driven solutions with control systems and sensing technologies to propel the advancement of cutting-edge robotics and autonomous systems.
Research Areas
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