About Assoc. Prof. Dr. Shazmin Aniza Abdul Shukor

Assoc. Prof. Dr. Shazmin Aniza Abdul Shukor is currently a Associate Professor at Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis

She was formerly from School of Mechatronic Engineering

ORCID ID: https://orcid.org/0000-0002-3464-4061

Scopus Author ID: 57214325384

Email: Shazmin Aniza Abdul Shukor

Research Interests

Sensor Technology

3D Modeling

Automation & Robotics


Skills and Expertise:Engineering, Applied and Computational Mathematics Mechanical Engineering,Automation & Robotics,Mechatronics Energy,Instrumentation,Measurement,Sensor Technology,3D Modeling Computer Graphics,Measurement and Metrology,Engineering Education and Thermal Comfort.

Recent Submissions

  • Orientation-based pairwise coarse registration with markerless terrestrial laser scans 

    Siti Nurhashima, Mohd Isa; Shazmin Aniza, Abdul Shukor; I., Maarof; Zainor Ridzuan, Yahya; Norasmadi, Abdul Rahim; Ammar, Zakaria; A. H., Abdullah; R., Wong (Copernicus Publications, 2019)
    In this paper, pairwise coarse registration is presented using real world point cloud data obtained by terrestrial laser scanner and without information on reference marker on the scene. The challenge in the data is because ...
  • Adapting SICK PLS 101 laser scanner for 3D interior modelling data collection 

    Shazmin Aniza, Abdul Shukor, Dr. (Penerbit UTM Press, 2014)
    This paper highlights on the process of optimizing a SICK PLS 101 laser scanner sensor to collect 3D data of building interiors. The sensor, which is an industrial-based, is used to perform tasks like inspection, metrology ...
  • Comparison study between multimedia and simulation courseware toward students’ achievement based on different levels of motivation 

    Zol Bahri, Razali, Dr.; Shazmin Aniza, Abdul Shukor (Universiti Teknologi Malaysia (UTM), 2006-12)
    The teaching-learning approach used in all core subjects at Universiti Malaysia Perlis (UNIMAP) is the ‘hands-on’ approach. Students will be exposed to real-life apparatus to increase the awareness and understand more ...
  • A fast knowledge-based plane reconstruction method from noisy 3D point cloud data 

    Shazmin Aniza, Abdul Shukor; Young, Ken (International Association of Science and Technology for Development (IASTED), 2011-02-16)
    This paper presents a knowledge-based method of planar surface reconstruction from noisy 3D point cloud data which produces a fast and reliable modelling of an indoor environment. The data used is obtained from a laser ...
  • Colour contrast enhancement based on bright and dark stretching for Ziehl-Neelsen slide images 

    Zaleha, Salleh; Mohd Yusoff, Mashor; Mat Noor, N. R.; Shazmin Aniza, Abdul Shukor; Norasmadi, Abdul Rahim; Wahab, A. S W; Md Noor, S. S.; Mohamad Idris, F.; Hasan, H. (Institute of Electrical and Electronics Engineering (IEEE), 2007-11)
    The Ziehl-Neelsen stain, also known as the acid-fast stain, was first described by two German doctors; Franz Ziehl (1859 to 1926), a bacteriologist and Friedrich Neelsen (1854 to 1894), a pathologist [1].It is a special ...
  • Development of a PMV-based thermal comfort modelling 

    Shazmin Aniza, Abdul Shukor; Karl Kohlhof; Zul Azhar, Zahid Jamal (International Association of Science and Technology for Development (IASTED)/ACTA Press, 2007-05)
    This paper concentrates on the modelling development for a PMV-based thermal comfort system. Operators can define their own expression towards the surroundings by inserting the respective value of PMV and the system will ...