A
PROFILE
UPM's Staff Profile
FAISUL ARIF BIN AHMAD @ MOHD YUSOFF
SENIOR LECTURER
FAKULTI KEJURUTERAAN
faisul@upm.edu.my
faisul
BM
EN

PROFESSIONAL

Faisul Arif Ahmad is a Senior Lecturer in Computer and Communication Systems Engineering at Universiti Putra Malaysia. He holds a PhD in Robotics and Intelligent Technology Engineering (UPM), an MEng in Electrical Engineering (UTM), and a BEng from the Muroran Institute of Technology, Japan, and previously worked in R&D at Panasonic. His research covers intelligent and robotic systems, deep learning for energy load forecasting, network security, and assistive technologies. He is an active IEEE member and serves the IEEE SMC conference community.
NAME :
FAISUL ARIF BIN AHMAD @ MOHD YUSOFF
POST :
SENIOR LECTURER
ENTITY :
FACULTY OF ENGINEERING

FIELD OF SUPERVISION
COMPUTER AND EMBEDDED SYSTEMS ENGINEERING
EDUCATION
PHD
UNIVERSITI PUTRA MALAYSIA, SERDANG, SELANGOR
Graduated : 2016
MASTER IN ELECTRICAL ENGINEERING
UNIVERSITI TEKNOLOGI MALAYSIA, SKUDAI, JOHOR
Graduated : 2008
BACELOR (KEJURUTERAAN - TEKNOLOGI MAKLUMAT)
INSTITUT TEKNOLOGI MURORAN, JEPUN
Graduated : 2001
JOURNAL PUBLICATION
1. Observer-Based Fault Detection Approach using Fuzzy Adaptive Poles Placement System with Real-Time Implementation
    Journal type: Citation-Indexed Journal - Science Citation Index (JCR)
2. Short-Term Load Forecasting Utilizing a Pso And Lstm Combination Model:A Brief Review
    Journal type: Citation-Indexed - Scopus
3. Performance Evaluation of Activation Functions in Deep Residual Networks for Short-Term Load Forecasting
    Journal type: Citation-Indexed Journal - Science Citation Index (JCR)
PUBLICATION
2025
Performance Evaluation of Activation Functions in Deep Residual Networks for Short-Term Load Forecasting
2025
Optimizing Deep Residual Networks for Short-Term Load Forecasting with Multidimensional Weather Data and Principal Component Analysis
2024
Short-Term Load Forecasting Utilizing a Pso And Lstm Combination Model:A Brief Review