A
PROFILE
Laman Web Staf UPM
DR. RIBHAN ZAFIRA BINTI ABDUL RAHMAN
PENSYARAH KANAN
FAKULTI KEJURUTERAAN
ribhan@upm.edu.my
Laman Web UPM
PROFILE
ribhan
BM
EN

PROFESIONAL

NAMA :
(Dr.) RIBHAN ZAFIRA BINTI ABDUL RAHMAN
JAWATAN :
PENSYARAH KANAN
PTJ :
FAKULTI KEJURUTERAAN

BIDANG PENYELIAAN
AGRICULTURAL MECHANISATION AND AUTOMATION / COMPUTER AND EMBEDDED SYSTEMS ENGINEERING / CONTROL SYSTEM ENGINEERING / ELECTRONIC ENGINEERING / SIGNAL PROCESSING
PENDIDIKAN
PHD
UNIVERSITI TEKNOLOGI MALAYSIA, SKUDAI, JOHOR
Graduated : 2013
SARJANA KEJURUTERAAN ELEKTRIK
UNIVERSITI TEKNOLOGI MALAYSIA, SKUDAI, JOHOR
Graduated : 2001
BACELOR (ENGINEERING ELECTRICAL AND ELECTRONICS)
LIVERPOOL JOHN MOORES UNIVERSITY, LIVERPOOL
Graduated : 1998
DIPLOMA (ELECTRICAL AND ELECTRONICS ENGINEERING)
INSTITUT TEKNOLOGI MARA
Graduated : 1995
PENERBITAN JOURNAL
1. Fault Detection and Diagnosis for Process Control Rig Using Artificial Intelligent
    Journal type: Citation-Indexed - Scopus
2. FAULT DETECTION AND DIAGNOSIS FOR CONTINUOUS
    Journal type: Non Citation-Indexed
3. Optimization of Fuzzy Model using Genetic Algorithm for Process Control Application
    Journal type: Citation-Indexed Journal - Science Citation Index (JCR)
4. MATLAB Simulation for Loss of Flow (LOF) in Reactor TRIGA Puspati (RTP)
    Journal type: Other Abstracting / Indexing Bodies
5. A Promising Wavelet Decomposition –NNARX Model to Predict Flood: Application to Kelantan River Flood
    Journal type: Citation-Indexed - Scopus
LATARBELAKANG PENDIDIKAN
PENGALAMAN KERJA
KURSUS DIHADIRI
PERSIDANGAN / BENGKEL / SEMINAR
PEMBENTANGAN KERTAS KERJA
PENGAJARAN
JAWATANKUASA
KEGIATAN LUAR BIDANG TUGAS
BIDANG PENGKHUSUSAN
BIDANG PENYELIDIKAN
PROJEK PENYELIDIKAN
PENERBITAN
2020
A Promising Wavelet Decomposition –NNARX Model to Predict Flood: Application to Kelantan River Flood
2019
MATLAB Simulation for Loss of Flow (LOF) in Reactor TRIGA Puspati (RTP)
2011
Optimization of Fuzzy Model using Genetic Algorithm for Process Control Application
2010
Fault Detection and Diagnosis for Process Control Rig Using Artificial Intelligent