Associate Professor Dr Anwar P.P. Abdul Majeed

Associate Professor Dr Anwar P.P. Abdul Majeed

  • Associate Professor
Department of Computing and Information Systems
Google Scholar ORCID Scopus ResearchGate Web of Science
SDGs Focus
Good Health and Well Being
Affordable and Clean Energy
Industry, Innovation and Infrastructure

Biography

Anwar P.P. Abdul Majeed is an Associate Professor at the School of Engineering and Technology with an experience in transnational education. He is a Chartered Engineer with IMechE, a member of IET, and a Senior Member of IEEE.With over 200 publications and editorial roles in prestigious journals and book series, Dr. Anwar is committed to advancing knowledge in the application of machine learning and deep learning in different domains. He is also actively engaged in professional societies, alumni networks, and contributes to the scientific community through his involvement in the Young Scientists Network of the Academy of Sciences Malaysia.

Academic & Professional Qualifications

  • PhD (Rehabilitation Robotics), Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia (2018)
  • MSc DIC Nuclear Engineering, Imperial College London, UK (2013)
  • BEng Mechanical Engineering, Universiti Teknologi MARA, Malaysia (2010)

Research Interests

  • Application of Machine Learning and Deep Learning
  • Sports Engineering and Performance Analysis
  • Modelling and Control

Teaching Areas

  • Mechanics
  • Dynamics and Control
  • Programming Principles
  • Applied Machine Learning

Courses Taught

  • Sensors and Instrumentation
  • Robotics and Automatic System
  • Electrical Circuits
  • Control Systems Engineering
  • Electrical Drive Systems
  • Vibrations
  • Dynamics
  • Electrical Power and Machines
  • Fluid Drive System
  • Programming Principles
  • Machine Learning

Notable Publications

  1. Nazarudin MN, Abdul Majeed APP, Maliki AB, Abdullah MR, Kuan G, Musa RM. Disciplinary measures defining referee activity in top-European football leagues: A cross-
    sectional investigation. Heliyon. 2024 Feb 15;10(3). https://doi.org/10.1016/
    j.heliyon.2024.e25402
  2. Cheng TJ, Nasir AF, Abdul Majeed APP, Razman MA, Lim TL. Vision-based Human
    Detection by Fine-Tuned SSD Models. International Journal of Advanced Computer
    Science and Applications. 2022;13(11). DOI:10.14569/IJACSA.2022.0131143
  3. Almanifi OR, Ab Nasir AF, Razman MA, Musa RM, Abdul Majeed APP. Heartbeat murmurs
    detection in phonocardiogram recordings via transfer learning. Alexandria Engineering
    Journal. 2022 Dec 1;61(12):10995-1002. https://doi.org/10.1016/j.aej.2022.04.031
  4. Almanifi OR, Khairuddin IM, Razman MA, Musa RM, Abdul Majeed APP. Human activity
    recognition based on wrist PPG via the ensemble method. ICT Express. 2022 Dec
    1;8(4):513-7. https://doi.org/10.1016/j.icte.2022.03.006
  5. Musa RM, Abdul Majeed APP, Suhaimi MZ, Abdullah MR, Mohd Razman MA,
    Abdelhakim D, Abu Osman NA. Identification of high-performance volleyball players
    from anthropometric variables and psychological readiness: A machine-learning
    approach. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of
    Sports Engineering and Technology. 2021 Sep 9. https://doi.org/10.1177/17543371211045451 
  6. Abdullah MA, Ibrahim MA, Shapiee MN, Zakaria MA, Razman MA, Musa RM, Osman NA,
    Abdul Majeed APP. The classification of skateboarding tricks via transfer learning
    pipelines. PeerJ Computer Science. 2021 Aug 18;7:e680. https://doi.org/10.7717/peerj-cs.680  
  7. Jizat JA, Abdul Majeed APP, Nasir AF, Taha Z, Yuen E. Evaluation of the machine learning
    classifier in wafer defects classification. ICT Express. 2021 May 3. https://doi.org/10.1016/j.icte.2021.04.007  
  8. Bari BS, Islam MN, Rashid M, Hasan MJ, Razman MA, Musa RM, Ab Nasir AF, Abdul
    Majeed APP. A real-time approach of diagnosing rice leaf disease using deep learning-
    based faster R-CNN framework. PeerJ Computer Science. 2021 Apr 7;7:e432. https://doi.org/10.7717/peerj-cs.432   
  9. Kumar JL, Rashid M, Musa RM, Razman MA, Sulaiman N, Jailani R, Abdul Majeed APP.
    The classification of EEG-based winking signals: a transfer learning and random forest
    pipeline. PeerJ. 2021 Mar 31;9:e11182. https://doi.org/10.7717/peerj.11182
  10. Khairuddin IM, Sidek SN, Abdul Majeed APP, Razman MA, Puzi AA, Yusof HM. The
    classification of movement intention through machine learning models: the identification
    of significant time-domain EMG features. PeerJ Computer Science. 2021 Feb 25;7:e379.
    https://doi.org/10.7717/peerj-cs.379  
     

Achievements & Accolades

Grants
PRINCIPAL INVESTIGATOR
• The Formulation of a Transfer Learning Pipeline for Intracranial Hemorrhage Diagnostics -
Research Development Fund, XJTLU - June 2022 - June 2025 (RMB 80,000.00)
• The Formulation of a Transfer Learning Pipeline for Condition Based Monitoring - Industry
Matching Grant (UMP-Industry) - November 2020 - November 2022 (RM 21,600.00)
• The Formulation of a Transfer Learning Pipeline for The Classification of Water Defects -
Industry Matching Grant (UMP-Industry) - November 2020 - November 2022
(RM20,000.00)
• The formulation of a machine learning model in classifying skateboarding tricks based on
time-series signals obtained from Inertial Measurement Units (IMU) - Ministry of Higher
Education's Fundamental Research Grant Scheme (FRGS) - September 2019 - May 2022
(RM 79,965.00)
• A predictive human comfort model based on road profile characteristics - UMP Internal Grant - April 2019 - March 2021 (RM 28,000.00)

Talks
• Keynote Speaker - The 3rd International Conference on Big Data, Information and Computer
Network (BDICN 2024), Sanya. China. Classification of Medical Imaging and Bio-Signals: A
Feature-Based Transfer Learning Approach - January 2024
• Keynote Speaker - The 5th International Conference on Machine Learning, Big Data and
Business Intelligence (MLBDBI 2023), Hangzhou. China. Case Studies on the Employment of
Feature-Based Transfer Learning - December 2023
• Keynote Speaker - The 3rd International Conference on Machine Manufacturing and
Intelligent Control (ICMMIC 2023), Shenyang. China. Smart Detection in Manufacturing
Settings - November 2023
• Invited Speaker - Session III: Policy Dialogue: Policy Engagement To Accelerate Supply Chain
Resilience By The Adoption of Digital Manufacturing Technologies/Best Practices among
APEC member Economies. APEC Hybrid Workshop on Digital Manufacturing for Supply Chain
Resilience. The Employment of Machine Learning and Deep Learning Technologies in
Manufacturing - December 2021
• Invited Speaker - ISN Virtual Sports Medicine & Sports Science Conference 2020. National
Sports Institute, Malaysia (Virtually). The Classification of Skateboarding Tricks: Case Studies on
the Employment of Machine Learning and Deep Learning Approaches - November 2020
• Invited Speaker - The 7th International Conference on Robot Intelligence Technology and
Applications (RiTA 2019), Daejeon, Korea. Machine Learning in Sports - November 2019.
• Invited Speaker - ISN Lecture Series 8/2012, National Sports Institute, Malaysia. Machine
Learning in Sports - December 2018.

Exhibition
• SkatePRO - Creation, Innovation, Technology and Research Exposition (CITREX) 2019 -
Bronze Medal
• SkatePRO - Advanced Innovation and Engineering Exhibition (AiNEX) 2019 - Silver Medal
• iMAMS-GRASP - Creation, Innovation, Technology and Research Exposition (CITREX) 2020 -
Silver Medal
• MMG ML Classification - Creation, Innovation, Technology and Research Exposition (CITREX)
2020 - Silver Medal
• Artificial Neural Interface - A COVID-19 Diagnostics Tool - Advanced Innovation and
Engineering Exhibition (AiNEX) 2021 - Gold Medal

Consultation and Training
• Institut Sukan Negara in collaboration with UMP Consultancy & Training (UCT) Sdn. Bhd. -
Talent Identification Software - Machine Learning (ISN-UCT/076/2017(5)) - RM 24,477.31 -
August 2017 - August 2019
• Orifice Plate Detection System with Ideal Vision Integration Sdn Bhd, Dzuki Consultancy and
Training & UCT (UCT1901136) - RM 15,600.00 - December 2019
• Transfer Learning Model Development with Ideal Vision Integration Sdn Bhd, Dzuki
Consultancy and Training & UCT (UCTL2001005) - RM 10,600.00 - October 2020
• Smart Autonomous in Vehicle Technology (Intermediate) with UCT and RGM Network San Bhd
(CTS200156) - Provided training on Machine Learning - RM 2,000.00 - October 2020
• Hyperparameter Optimisation with Ideal Vision Integration Sdn Bhd, Dzuki Consultancy and
Training & UCT (UCTL2101289) - RM 10,000 - November 2021
• Machine Learning for Autonomous System (Beginner) with UCT and RGM Network San Bhd
(CTS220178) - Provided training on Machine Learning - RM 2,000.00 - June 2022
• Machine Learning for Autonomous System (Intermediate) with UCT and RGM Network San
Bhd (CTS2301111) - Provided training on Machine Learning - RM 2,000.00 - August 2023


Appointments 
• Adjunct Associate Professor - Faculty of Engineering, Technology and Built Environment, UCSI
University - October 2021- Present
• Visiting Research Fellow - EUREKA Robotics Centre, Cardiff Metropolitan University - March
2022 – Present
• Evaluation Panel for CREST R&D Grant