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Home> FKP1000-FAKULTI TEKNOLOGI KEJURUTERAAN PEMBUATAN DAN MEKATRONIK

DR. MOHD AZRAAI BIN MOHD RAZMAN

Contact No. : -
Gender : MALE
Nationality : MALAYSIA
Current Positon : DS51-A-PENSYARAH UNIVERSITI
E-Mail : mohdazraai@ump.edu.my
 
ACADEMIC QUALIFICATION
. 2020 : IJAZAH KEDOKTORAN (DOCTORAL DEGREE), UNIVERSITI MALAYSIA PAHANG
. 2018 : IJAZAH KEDOKTORAN (DOCTORAL DEGREE), FACOLTA DI INGEGNERIA DI PADOVA
. 2014 : IJAZAH SARJANA (MASTERS DEGREE), UNIVERSITI MALAYSIA PAHANG
. 2010 : IJAZAH SARJANA MUDA (BACHELOR DEGREE), THE UNIVERSITY OF SHEFFIELD
 
EXPERTISE
EXPERT AREA MAJOR YEARS OF EXPERTISE LEVEL
AQUACULTURE ENGINEERING (INCLUDING AQUACULTURE MECHANISATION) FEEDING MECHANISM
3
TINGGI
IMAGE PROCESSING OBJECT TRACKING
3
SANGAT TINGGI
MACHINE LEARNING CLASSIFICATION
3
SANGAT TINGGI
ROBOTICS AND MECHATRONICS CONTROL SYSTEMS
10
SANGAT TINGGI
SIMULATION AND MODELING OPTIMIZATION
6
SANGAT TINGGI
 
EMPLOYMENT HISTORY
No Record.

   
RESEARCH
NO. TITLE ROLE START DATE END DATE STATUS
1. THE FORMULATION OF A DEEP LEARNING PIPELINE FOR THE MANEUVERING PERCEPTION OF AN AMPHIBIOUS VEHICLE Member 01-OCT-2022 30-SEP-2024 Sedang Berjalan
2. OPTIMISATION OF PI-PD CONTROLLER FOR DC MOTOR POSITION OF THE LINEAR CONVEYOR SYSTEM USING MODIFIED ADAPTIVE BATS SONAR ALGORITHM. Member 01-OCT-2021 30-SEP-2023 Sedang Berjalan
3. THE FORMULATION OF TRANSFER LEARNING PIPELINE FOR HUMAN DETECTION USING 2D-IMAGE BASED RDU202405 Member 15-NOV-2020 14-NOV-2022 Sedang Berjalan
4. THE FORMULATION OF A TRANSFER LEARNING PIPELINE FOR CONDITION BASED MONITORING UIC200817 Member 15-NOV-2020 14-NOV-2022 Sedang Berjalan
5. INTELLIGENT-BASED WAFER DEFECT DETECTION MODEL UIC200815 Member 15-NOV-2020 14-NOV-2022 Sedang Berjalan
6. THE FORMULATION OF A TRANSFER LEARNING PIPELINE FOR CONDITION BASED MONITORING UIC200817 Leader 15-NOV-2020 14-NOV-2022 Sedang Berjalan
7. THE FORMULATION OF A TRANSFER LEARNING PIPELINE FOR CONDITION BASED MONITORING RDU202406 Leader 15-NOV-2020 14-NOV-2022 Sedang Berjalan
8. THE FORMULATION OF TRANSFER LEARNING PIPELINE FOR HUMAN DETECTION USING 2D-IMAGE BASED UIC200816 Member 15-NOV-2020 14-NOV-2022 Sedang Berjalan
9. THE FORMULATION OF A TRANSFER LEARNING PIPELINE FOR CONDITION BASED MONITORING RDU202406 Member 15-NOV-2020 14-NOV-2022 Sedang Berjalan
10. INTELLIGENT-BASED WAFER DEFECT DETECTION MODEL RDU202404 Member 15-NOV-2020 14-NOV-2022 Sedang Berjalan
11. THE DEVELOPMENT OF MACHINE LEARNING TECHNIQUES IN CLASSIFYING CAPSICUM FRUTESCENS CROP QUALITY Leader 20-OCT-2020 19-OCT-2022 Tamat (Perlu hantar laporan akhir)
   
PUBLICATION
TYPE PUBLICATION TARIKH PENERBITAN TYPE OF CONTRIBUTION
REFEREED PUBLICATION
CONFERENCE PAPER The Classification of Electrooculography Signals: A Significant Feature Identification via Mutual Information 16/07/2021 Corresponding author
CONFERENCE PAPER The Classification of Skateboarding Tricks: A Support Vector Machine Hyperparameter Evaluation Optimisation 16/07/2021 Co-author
CONFERENCE PAPER The Identification of Significant Mechanomyography Time-Domain Features for the Classification of Knee Motion 16/07/2021 Corresponding author
CONFERENCE PAPER The Identification of Significant Time-Domain Features for Wink-Based EEG Signals 16/07/2021 Corresponding author
JOURNAL A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework 07/04/2021 Corresponding author
JOURNAL The Classification of Skateboarding Tricks via Transfer Learning Pipelines 18/08/2021 Corresponding author
JOURNAL The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline 21/01/2021 Corresponding author
JOURNAL The classification of EEG-based winking signals: a transfer learning and random forest pipeline. 31/03/2021 Corresponding author
JOURNAL The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN 25/02/2021 Corresponding author
CONFERENCE PAPER The Classification of Skateboarding Tricks by Means of Support Vector Machine: An Evaluation of Significant Time-Domain Features 09/07/2020 Corresponding author
CONFERENCE PAPER The Classification of Skateboarding Trick Manoeuvres: A Frequency-Domain Evaluation 09/07/2020 Co-author
CONFERENCE PAPER The Classification of Skateboarding Tricks by Means of the Integration of Transfer Learning and Machine 09/07/2020 Co-author
CONFERENCE PAPER The Classification of Skateboarding Trick Manoeuvres Through the Integration of IMU and Machine Learning 04/07/2019 Corresponding author
CONFERENCE PAPER The Power Level Control of a Pressurised Water Reactor Nuclear Power Plant 04/07/2019 Corresponding author
JOURNAL An Evaluation of Different Fast Fourier Transform-Transfer Learning Pipelines for the Classification of Wink-based EEG Signals 21/09/2019 Corresponding Author
   

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