GRANT(PI & MEMBERS)
17
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
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 |
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 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 |
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 |
Fatigue And Drowsiness Detection System Using Artificial Intelligence Technique For Car Drivers
ADVANCED STRUCTURED MATERIALS Publication In Scopus CORRESPONDING AUTHOR |
2022 |
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 |
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 |
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Legend : SESSION LEVEL OF STUDY STATUS SUPERVISION LEVEL
Supervision List |
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MOHD HAFIZULLAH BIN HASAN BASRI PREDICTIVE ANALYTIC TO DETECT FAILURE IN UNINTERRUPTIBLE POWER SUPPLY (UPS) SYSTEM USING MACHINE LEARNING TECHNIQUE    PHD ON GOING SUPERVISOR |
MOHD SHAHAR BIN ABDULLAH AI-DRIVEN FRAMEWORK FOR REAL-TIME DISASTER RESPONSE AND MANAGEMENT   PHD ON GOING CO-SUPERVISOR |
SAJIB KUMAR JOARDER ADVANCING BUSINESS AUTOMATION WITH SPECIALIZED LARGE LANGUAGE MODELS FEATURING IN-DEPTH SEMANTIC ANALYSIS FOR SUPERIOR CUSTOMER SUPPORT   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 |