GRANT(PI & MEMBERS)

15

PUBLICATIONS

9

INDEXED PUBLICATION

9

TOTAL STUDENTS

H-INDEXED (SCOPUS)

CITATIONS (SCOPUS)

Grant (PI)

INTERNATIONAL GRANTS
1
UNIVERSITY FUND
1
TOTAL

Publications

INDEXED PUBLICATION
9
NON-INDEXED PUBLICATION
0
OTHERS PUBLICATION
0
TOTAL

Supervisions

DEGREE
0
MASTER
2
PHD
3
TOTAL

Legend : SPONSOR TYPE OF GRANT

Grant Name Year
AI-Enabled Optimization of Mobility Management in 5G and B5G Wireless Networks
POST DOCTORAL FELLOWSHIP (SPECIAL) Professional Development Research University
2023
F4 3.2 Intelligent Cooperative Planning and Control of a Swarm of Unmanned Aerial Vehicles (UAV) in Flight and Docking Operations
RUG OF UTM Geran Penyelidikan Hi-Tech(F4)
2022
Attention-Based Fully Convolutional Networks for Lane Detection of Different Driving Scenes
MINISTRY OF EDUCATION Fundamental Research Grant Scheme
2022
Analysis of Air Quality Monitoring System based on Internet of Things
Asia Technological University Network (ATU-Net) Young Researcher Grant (YRG) International Grant
2022
PPRN _2_2021 MOHE : MEE SIPUT MAKING MACHINE
MINISTRY OF EDUCATION Demand-Driven Innovation
2021
PPRN _2_2021 IND : MEE SIPUT MAKING MACHINE
T&M MEE SIPUT ENTERPRISE Contract Research DTD
2021
Enhancing Predictive Algorithm for Predicting Paddy Yield based on Soil Profiling and Machine Learning model
RUG OF UTM UTM Encouragement Research
2021
Lightweight Secure RISC-V Processor for Smart Home in Internet of Things
RUG OF UTM UTM Encouragement Research
2021
Improving Predictive Algorithm for Predicting Paddy Yield Based on Multiple Linear Regression and Internet of Things
MINISTRY OF EDUCATION Networking Grant
2021
Modelling the trend and effects of rain rate and fade due to climate change for heterogeneous 5G millimeter wave links in Malaysia
MINISTRY OF EDUCATION Networking Grant
2020
CRG 18.2 - DEVELOPMENT OF WIRELESS HEALTHCARE MONITORING SYSTEM
UNIVERSITI KUALA LUMPUR Collaborative Research Grant National
2019
Development of Wireless Healthcare Monitoring System
UNIVERSITI KUALA LUMPUR Networking Grant
2019
Improving computational efficiency of compressed sensing based recovery algorithms for Magnetic Resonance Imaging
MINISTRY OF EDUCATION Networking Grant
2019
Improve learning speed of machine learning based Medium Access Control MAC Protocol for IoT application using Fuzzy-Reinforcement Learning approach.
MINISTRY OF EDUCATION Networking Grant
2019

Legend : PUBLICATION CATEGORY TYPE OF AUTHORS

Publication Name Year
Evaluation Of Climate Change Effects On Rain Rate Distribution In Malaysia Using Hydro-Estimator For 5g And Microwave Links
ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH
Publication In Web Of Science UTM FIRST AUTHOR
2023
Analysis Of Wind Speed Prediction Using Artificial Neural Network And Multiple Linear Regression Model Using Tinyml On Esp32
JOURNAL OF ADVANCED RESEARCH IN FLUID MECHANICS AND THERMAL SCIENCES
Publication In Scopus FIRST UTM CORRESPONDING AUTHOR
2023
Development Of Web-Based Iot Comfort Index And Electricity Consumption Estimation Monitoring Microcontroller System With Wireless Sensor Modules For Air-Conditioning System
JOURNAL OF ADVANCED RESEARCH IN APPLIED MECHANICS
Publication In Scopus CO-AUTHOR
2023
A Narrative Review On Mee Siput-Making Machine For Small Industries: User-Friendly Or Worst
FINANCE, ACCOUNTING AND LAW IN THE DIGITAL AGE: THE IMPACT OF TECHNOLOGY AND INNOVATION IN THE FINANCIAL SERVICES SECTOR
Publication In Scopus CO-AUTHOR
2023
Development Of Blood Oxygen Level, Heart Rate And Temperature Monitoring System By Using Esp32
2022 4TH INTERNATIONAL CONFERENCE ON SMART SENSORS AND APPLICATION (ICSSA)
Publication In Scopus CO-AUTHOR
2022
Fatigue And Drowsiness Detection System Using Artificial Intelligence Technique For Car Drivers
ADVANCED STRUCTURED MATERIALS
Publication In Scopus CORRESPONDING AUTHOR
2022
Scalable Off-Chain Blockchain For Vehicular Network
2022 1ST INTERNATIONAL CONFERENCE ON INFORMATION SYSTEM AND INFORMATION TECHNOLOGY, ICISIT 2022
Publication In Scopus CO-AUTHOR
2022
Comparison Of Convolutional Neural Network Architectures For Face Mask Detection
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS (IJACSA)
Publication In Web Of Science UTM FIRST AUTHOR
2021
Investigating Performance Of Transformer Health Index In Machine Learning Application Using Dominant Features
JOURNAL OF PHYSICS: CONFERENCE SERIES
Publication In Scopus CO-AUTHOR
2021

Legend : IP CATEGORY IP LEVEL

Intellectual Property Name Grant Register No. IP Level IP Category

Legend : SESSION LEVEL OF STUDY STATUS SUPERVISION LEVEL

Supervision List
MOHD HAFIZULLAH BIN HASAN BASRI
PREDICTIVE ANALYTIC TO DETECT FAILURE IN UNINTERRUPTIBLE POWER SUPPLY (UPS) SYSTEM USING MACHINE LEARNING TECHNIQUE   
PHD ON GOING SUPERVISOR
SAJIB KUMAR JOARDER

PHD ON GOING CO-SUPERVISOR
MOHD SHAHAR BIN ABDULLAH

PHD ON GOING CO-SUPERVISOR
MOHAMAD HAFIZAT BIN ZAINAL ABIDIN
OFF-CHAIN SOLUTION FOR SCALABLE BLOCKCHAIN-BASED VEHICULAR NETWORK
MASTER GRADUATED CO-SUPERVISOR 2022
MOHAMAD HIZAMI BIN MOHAMAD HILMI
ENHANCING PREDICTIVE ALGORITHM FOR PREDICTING PADDY YIELD BASED ON MACHINE LEARNING MODEL FOR PADDY FIELDS IN MALAYSIA. THIS RESEARCH AIMS TO INVESTIGATE THE APPLICATION OF MACHINE LEARNING PREDICTIVE ANALYTICS, SPECIFICALLY UTILIZING THE SUPPORT VECTOR MACHINES (SVM) ALGORITHM, FOR THE PREDICTION OF PADDY YIELDS IN MALAYSIA, SPECIFICALLY IN PADDY FIELDS OF KUALA MUDA, KEDAH. THE PRIMARY FOCUS OF THE MALAYSIAN GOVERNMENT IS TO ENHANCE SELF-SUFFICIENCY IN RICE PRODUCTION TO ENSURE ECONOMIC AND SOCIAL STABILITY. WHILE PADDY-PRODUCING COUNTRIES LIKE CHINA, INDIA, AND SOUTH KOREA HAVE MADE SIGNIFICANT STRIDES IN IMPLEMENTING MACHINE LEARNING FOR YIELD PREDICTION, SUCH INITIATIVES ARE NOTABLY ABSENT IN MALAYSIA. THIS STUDY'S OBJECTIVES ARE THREEFOLD: FIRST, TO GATHER INPUT (TEMPERATURE, HUMIDITY AND RAINFALL) AND OUTPUT DATA (PADDY YIELD) FROM REPUTABLE SOURCES SUCH AS MADA, THE MALAYSIA METEOROLOGICAL DEPARTMENT, AND ONLINE CLIMATE SOURCES; SECOND, TO DEVELOP A PREDICTIVE MACHINE LEARNING MODEL BASED ON THE SVM ALGORITHM USING THE COLLECTED INPUT VARIABLES TO FORECAST PADDY YIELDS; AND FINALLY, TO ENHANCE THE ACCURACY OF THE SVM MODEL BY A TARGET OF 5%. THE LATTER OBJECTIVE IS CURRENTLY UNDER DEVELOPMENT WITH MEASURES TO IMPROVE SVM ACCURACY BEING DEVISED. THIS RESEARCH SEEKS TO DEMONSTRATE HOW MACHINE LEARNING CAN ENHANCE PADDY YIELD FORECASTING IN MALAYSIA, OFFERING VALUABLE INSIGHTS FOR THE AGRICULTURAL SECTOR AND PAVING THE WAY FOR SUSTAINABLE FARMING PRACTICES AND ENHANCED FOOD SECURITY. CURRENTLY, DATA COLLECTION ACTIVITIES ARE BEING CONDUCTED TOGETHER WITH SVM MODEL STUDIES DEVELOPMENT. MODEL IMPROVEMENT MEASURES ARE ALSO TO BE STUDIED FROM VARIOUS LITERATURE SOURCES.  
MASTER ON GOING SUPERVISOR