Mohammad Aldibaja

Function:

Associate Professor Sensing & Perception

E-mail address:

m.a.j.aldibaja@saxion.nl

Phone number:

Skills:

Computer Vision Techniques, Object Shape Modeling, Object Detection, Machine Learning, C++, Mapping and Navigation Systems, Autonomous Localization Systems, Autonomous Driving, Driver Monitoring Systems, SLAM.

Current projects:

EPR-beheersing in Twente

Educational Background

Dec. 2011 - Mar. 2015: PhD in Mechanical and Structural Engineering Systems at Toyohashi University of Technology, Japan.
Nov. 2009 - Dec. 2011: MSc in Mechanical Engineering at Toyohashi University of Technology, Japan.

Professional Background

Mar. 2024 - to date: Associate Professor in Sensing & Perception at Saxion University of Applied Sciences, The Netherlands.
Jun. 2019 - Mar. 2024: Assistant Professor at Kanazawa University, Japan.
Jan. 2016 - Jun. 2019: Post-Doctoral Researcher at Kanazawa University, Japan.
Apr. 2012 - Apr. 2014: Teaching Assistant at Toyohashi University of Technology, Japan.

My Story

Mohammad Aldibaja received his Msc. and PhD in Mechanical and Structural System Engineering from Toyohashi University of Technology in Japan in 2011 and 2015, respectively. His PhD dissertation was about the eye shape detection for implementing driver monitoring systems. In 2016, he joined Kanazawa University as a postdoctoral researcher in the Autonomous Vehicle Research Unit and then became an Assistant Professor and a faculty member in the Advanced Mobility Research Institute in 2019. He was responsible for the localization and mapping systems and integrated sensing and perception techniques to improve the localization accuracy of autonomous driving in adverse weather conditions and generate precise LiDAR maps in complex and challenging environments such as long tunnels and multilayer road structures. He is a referee at the Japan Society for the Promotion of Science (JSPS), published many papers, acquired competitive funds in Japan, supervise some projects and registered for several patents in Autonomous driving.

He joined Saxion in March 2024 as an Associate Professor in sensing and perception techniques for the unmanned robotics systems.