{"id":30,"date":"2012-10-05T10:05:24","date_gmt":"2012-10-05T02:05:24","guid":{"rendered":"http:\/\/people.utm.my\/staff-sample\/?page_id=30"},"modified":"2021-07-08T11:53:36","modified_gmt":"2021-07-08T03:53:36","slug":"project","status":"publish","type":"page","link":"https:\/\/people.utm.my\/ibrahim\/project\/","title":{"rendered":"Research Projects"},"content":{"rendered":"\n

No<\/strong>

<\/td>
Title of Project<\/strong>

<\/td>
Type of Grant<\/strong>

<\/td>
Role<\/strong>

<\/td>
Amount\/date<\/strong>

<\/td><\/tr>
1<\/td>Learning from Imbalanced and Small Datasets to Improve Assembly Test Semiconductor

<\/td>		INTEL Corporation USA<\/td>Researcher<\/td>RM207,118.89
(2009-2011)<\/td><\/tr>
2<\/td>A Two-Step Learning Mechanism of Artificial Neural Network (ANN) for Imbalanced Dataset Problem

<\/td>		FRGS
Vot: –<\/td>		Researcher<\/td>RM24,000.00
(2010-2012)<\/td><\/tr>
3<\/td>Incorporating Knowledge from Domain Expert to Improve Bayesian Network Learning Mechanism for Imbalanced Dataset Problem

<\/td>		FRGS
Vot: –<\/td>		Researcher<\/td>RM52,000.00
(2010-2012)<\/td><\/tr>
4<\/td>An Extended Nadaraya-Watson Kernel Regression for Function Approximation Under Condition of Small Sample Sets

<\/td>		FRGS
Vot: –<\/td>		Researcher<\/td>RM39,200.00
(2010-2012)<\/td><\/tr>
5<\/td>A New Approach in Incorporating Prior Knowledge into Kernel-Based Regression Based on Pareto Optimality Concept in Solving Small Sample Problems

<\/td>		FRGS
Vot: 4F331<\/td>		Project Leader<\/td>RM102,000.00
(2013-2016)<\/td><\/tr>
6<\/td>Incorporating Non-Dominated Solutions to Improve Vector Evaluated Gravitational Search Algorithm (VEGSA) for Multi-Objective Optimization Problems

<\/td>		FRGS
Vot: 4F615<\/td>		Researcher<\/td>RM52,000.00
(2014-2016)<\/td><\/tr>
7<\/td>Quantification Of The Effect Of Reverberant Condition On Bahasa Melayu Speech Intelligibility

<\/td>		Tier 1 UTM
Vot: 08H76<\/td>		Researcher<\/td>RM20,000.00
(2014-2015)<\/td><\/tr>
8<\/td>The Formulation Of Malay Speech Intelligibility Model Using Analytical Hierarchy Process

<\/td>		FRGS
Vot: 4F486<\/td>		Researcher<\/td>RM60,000.00
(2014-2016)<\/td><\/tr>
9<\/td>Modeling and Tracking of Oil Spill using Swarm Robotics with Fuzzy Based Controller

<\/td>		FRGS
Vot: 4F801<\/td>		Researcher<\/td>RM 127,500.00
(2015-2018)<\/td><\/tr>
10<\/td>Motor Imagery of Brain Computer Interface with Improved Common Spatial Pattern in Analyzing EEG Signal for Stroke Patients

<\/td>		Aunseed\/Net, JICA Vot: 4B188<\/td>Project Leader<\/td>RM198,159.50
(2015-2017)<\/td><\/tr>
11<\/td>Classification Of Brain Signal For Normal Person And Stroke Patients For Application In Brain Computer Interface

<\/td>		Tier 2 UTM
Vot: 10J98<\/td>		Project Leader<\/td>RM 20,000.00 (2015-2016)<\/td><\/tr>
12<\/td>Enhanced Common Spatial Pattern in Analyzing EEG Signal for Stroke Patients
Matching Grant

<\/td>		Vot: 00M79<\/td>Project Leader<\/td>RM70,000.00
(2015-2017)<\/td><\/tr>
13<\/td>Mask Covariance Of Common Spatial Pattern for Brain Computer Interface

<\/td>		Tier 1 UTM
Vot: 13H71<\/td>		Project Leader<\/td>RM50,000.00
(2016-2018)<\/td><\/tr>
14<\/td>Cloud Optical Depth Retrieval via Infrared Radiation Analysis for Solar Radiation Prediction
Takasago

<\/td>		Vot : 4B262<\/td>Researcher<\/td>RM100,000.00
(2016-2018)<\/td><\/tr>
15<\/td>Operation and Relief System Plan: Machine Learning and Drones for Disaster Response and Relief Operation

<\/td>		MOHE, UTM
Vot: 4J276<\/td>		Researcher<\/td>RM500,000.00
(2017-2019)<\/td><\/tr>
16<\/td>Early Detection of Dementia In EEG Signals Using Advanced Signal Processing Techniques

<\/td>		DPUTMRAZAK
Vot: 4J301<\/td>		Researcher<\/td>RM32,000.00
(2017-2019)<\/td><\/tr>
17<\/td>Real Time Occupancy Model using Deep Learning with IoT Sensors Technology for HVAC Predictive Operation
Takasago

<\/td>		Vot : 4B319<\/td>Project Leader<\/td>RM100,000.00
(2017-2019)<\/td><\/tr>
18<\/td>Robust-Formation Control of Autonomous Underwater Vehicles based on Consensus Algorithm
Flagship

<\/td>		Vot: 03G87<\/td>Researcher<\/td>RM50,000.00
(2017-2019)<\/td><\/tr>
19<\/td>Water Pollution Sensing in Rivers of Malaysia and Database Construction

<\/td>		Tier 1 UTM
Vot: 19H97<\/td>		Researcher<\/td>RM50,000.00
(2018-2020)<\/td><\/tr>
20<\/td>The Design of Spatial Selection Using Cur Decomposition to Improve Common Spatial Pattern for Multi-Trial EEG Classification

<\/td>		Tier 1 UTM
Vot: 20H34<\/td>		Researcher<\/td>RM50,000.00
(2018-2020)<\/td><\/tr>
21<\/td>Development Smart Embedded-Analytics Sensors And Cloud-Based Management Systems For Heating, Ventilation, And Air Conditioning (HVAC) System

<\/td>		CRG UTM
Vot: 04G64<\/td>		Researcher<\/td>RM160,000.00
(1\/7\/2018-31\/12\/2020)<\/td><\/tr>
22<\/td>HVAC Predictive System based on Deep Learning for Occupancy Modelling

<\/td>		IIIG UTM
Vot:01M21<\/td>		Project Leader<\/td>RM20,000.00
(1\/8\/2018-31\/1\/2021)<\/td><\/tr>
23<\/td>Decentralized Architecture of Rnn-Based Smart Controller for Hvac System

<\/td>		IIG UTM Vot:01M18<\/td>Researcher<\/td>RM20,000.00
(1\/5\/2018-30\/4\/2019)<\/td><\/tr>
24<\/td>Study of Human-Like Robotic Hand Using Soft Mckibben Actuator Controlled by Artificial Intelligence Approach
Sesak: A Crowd Simulation Software Prototype For Systematic Crowd Management System

<\/td>		Flagship UTM Vot:04G98<\/td>Researcher<\/td>RM40,000.00
(1\/8\/2018-31\/1\/2019)<\/td><\/tr>
25<\/td>Sesak: A Crowd Simulation Software Prototype For Systematic Crowd Management System

<\/td>		PRGS-ICC UTM
Vot: 4J360<\/td>		Researcher<\/td>RM20,000.00
(1\/9\/2018-31\/8\/2019)<\/td><\/tr>
26<\/td>UTM-TDR28.3(T2): Modeling And Optimization of Magnetorheological Elastomer Rheological Behavior Via Machine-Learning Approach

<\/td>		UTM-DR UTM
Vot:07G19<\/td>		Researcher<\/td>RM35,200.00
(1\/12\/2018-31\/5\/2020)<\/td><\/tr>
27<\/td>Kajian Kompetensi Industri 4.0 Dengan Jabatan HSE Di UMW

<\/td>		CR DTD
Vot:4C214<\/td>		Researcher<\/td>RM58,275.00
(11\/10\/2018-10\/4\/2019)<\/td><\/tr>
28<\/td>Kajian Keberkesanan dan Penambah Baikkan Modul Latihan Kompetensi Industri 4.0 dengan Jabatan HSE di UMW

<\/td>		IIIG UTM Vot:01M45<\/td>Researcher<\/td>RM20,000.00
(1\/5\/2019-31\/10\/2021)<\/td><\/tr>
29<\/td>Pose Skeleton Estimation With Advanced Optical Flow Using Deep Learning For Human Action Detection

<\/td>		TIER 2 UTM
Vot:15J78<\/td>		Project Leader<\/td>RM30,000.00
(01\/08\/2019-31\/01\/2022)<\/td><\/tr>
30<\/td>Artificial Intelligence Deep Learning Models For Picture-Based Defect Classification

<\/td>		Contract Research DTD<\/td>Project Leader<\/td>RM35,000.00
(26\/07\/2019-25\/01\/2021)<\/td><\/tr>
31<\/td>Industrial Defect Detection for wafer semiconductor using artificial intelligence technology

<\/td>		IIIG UTM Vot:01M84<\/td>Project Leader<\/td>RM15,000.00
(01\/11\/2019-30\/04\/2021)<\/td><\/tr>
32<\/td>PPRN 3 MOE : Artificial Intelligence and Conditioning Base Monitoring Tools Software Development for Rotating Equipment

<\/td>		PPRN
Vot:4L440<\/td>		Project Leader<\/td>RM49,000.00
(23\/12\/2019-22\/06\/2021)<\/td><\/tr>
33<\/td>PPRN 3 IND : Artificial Intelligence and Conditioning Base Monitoring Tools Software Development for Rotating Equipment

<\/td>		PPRN
Vot:4C330<\/td>		Project Leader<\/td>RM21,000.00
(23\/12\/2019-22\/06\/2021)<\/td><\/tr>
34<\/td>Imbalanced Strategy For Wafer Defect Classification Using Fully Convolutional Neural Network

<\/td>		UTMFR UTM
Vot:21H17<\/td>		Project Leader<\/td>RM63,000.00
(01\/01\/2020-30\/06\/2022)<\/td><\/tr>
35<\/td>Transforming Time To Spatial Domain For Eeg Signal Using Cnn Classification

<\/td>		Matching Grant
Vot:01M92<\/td>		Project Leader<\/td>RM17,459.55
(01\/01\/2020-30\/06\/2021)<\/td><\/tr>
36<\/td>Portable & Rapid Body Temperature
Measurement

<\/td>		UTM R&D Fund
Vot:4J451<\/td>		Project Leader<\/td>RM40,000.00
(01\/04\/2020-31\/05\/2020)<\/td><\/tr>
37<\/td>Investigation of finger musculoskletal pinching motion using soft Mckibben actuator with machine learning adoption

<\/td>		FRGS Grant
Vot:5F137<\/td>		Researcher<\/td>RM129,500.00
(1\/9\/2019-31\/5\/2023)<\/td><\/tr>
38<\/td>CRG 30.0 : Smart Robotics System For Search And Rescue

<\/td>		CRG Grant
Vot:08G30<\/td>		Reseracher<\/td>RM100,000.00
(1\/11\/2019-30\/4\/2022)<\/td><\/tr>
39<\/td>Non-Cooperative Optimization of Electric Vehicle Charging Through Multi-Agent Deep Reinforcement Learning

<\/td>		FRGS Grant
Vot:5F348<\/td>		Researcher<\/td>RM118,400.00
(1\/11\/2020-31\/10\/2022)<\/td><\/tr>
40<\/td>Identification of microalgae by graphical image using deep learning technology

<\/td>		FRGS Grant
Vot:5F418<\/td>		Researcher<\/td>RM146,000.00
(1\/11\/2020-31\/10\/2022)<\/td><\/tr>
41<\/td>Crowd Simulation Software Prototype for Systematic Crowd Management System

<\/td>		UTMPR Grant
Vot:00L31<\/td>		Researcher<\/td>RM45,000.00
(1\/1\/2020-30\/6\/2022)<\/td><\/tr>
42<\/td>Artificial Intelligence Vision System for Calf Weight Estimation

<\/td>		MYRUN
Vot:4B558<\/td>		Researcher<\/td>RM109,800.00
(01\/04\/2020-31\/12\/2021)<\/td><\/tr>
43<\/td>Predictive Modeling for Prevention and Control of COVID-19 Disease

<\/td>		UTMER Grant
Vot:18J91<\/td>		Researcher<\/td>RM56,000.00
(1\/10\/2020-30\/9\/2022)<\/td><\/tr>
44<\/td>An Improved Inventory Management Process for Human Machine Warehouse Management System

<\/td>		IIIG Grant
Vot:02M64<\/td>		Researcher<\/td>RM20,000.00
(1\/11\/2020-31\/10\/2021)<\/td><\/tr>
45<\/td>A Simulated Annealing Approach for Optional Storing in A Semi-Automated Warehouse

<\/td>		Contract Research Vot:4C355<\/td>Researcher<\/td>RM120,000.00
(01\/04\/2020-31\/03\/2021)<\/td><\/tr>
46<\/td>Penyelidikan Pembangunan Sistem Operasi High Performance Computing (HPC) Untuk Pusat Kajian Lembangan Sungai, NAHRIM

<\/td>		Contract Grant
NAHRIM
Vot:4C397<\/td>		Project Leader<\/td>RM500,000.00
(01\/08\/2020-28\/02\/2021)<\/td><\/tr>
47<\/td>Development of Artificial Intelligence Inspection System on Thermography Images For 33kV Switchgears & System Migration

<\/td>		Contract Grant
TNB Research Sdn Bhd
Vot:4C425<\/td>		Project Leader<\/td>RM170,000.00
(14\/10\/2020-15\/06\/2021)<\/td><\/tr>
48<\/td>MYLAB 1 MOHE : Defect Inspection using Deep Learning Computer Vision for Software as a Service (SaaS)

<\/td>		MyLAB MOHE
Vot:4L916<\/td>		Project Leader<\/td>RM984,316.80
(01\/10\/2020-30\/09\/2022)<\/td><\/tr>
49<\/td>MYLAB 1 IND : Defect Inspection using Deep Learning Computer Vision for Software as a Service (SaaS)

<\/td>		MyLAB Industry
Vot:4B611<\/td>		Project Leader<\/td>RM51,806.15
(01\/10\/2020-30\/09\/2022)<\/td><\/tr>
<\/td><\/td>TOTAL AMOUNT OF GRANTS (RM)<\/strong><\/td><\/td>5,078,735.89<\/span><\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

No Title of Project Type of Grant Role Amount\/date 1 Learning from Imbalanced and Small Datasets to Improve Assembly Test Semiconductor INTEL Corporation USA Researcher RM207,118.89(2009-2011) 2 A Two-Step Learning Mechanism of Artificial Neural Network (ANN) for Imbalanced Dataset Problem … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":247,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-30","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/people.utm.my\/ibrahim\/wp-json\/wp\/v2\/pages\/30","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.utm.my\/ibrahim\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/people.utm.my\/ibrahim\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/people.utm.my\/ibrahim\/wp-json\/wp\/v2\/users\/247"}],"replies":[{"embeddable":true,"href":"https:\/\/people.utm.my\/ibrahim\/wp-json\/wp\/v2\/comments?post=30"}],"version-history":[{"count":16,"href":"https:\/\/people.utm.my\/ibrahim\/wp-json\/wp\/v2\/pages\/30\/revisions"}],"predecessor-version":[{"id":1924,"href":"https:\/\/people.utm.my\/ibrahim\/wp-json\/wp\/v2\/pages\/30\/revisions\/1924"}],"wp:attachment":[{"href":"https:\/\/people.utm.my\/ibrahim\/wp-json\/wp\/v2\/media?parent=30"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}