Our Services
Data Analytics
- Sentiment Analysis
- Corrosion Prediction
- Remaining Useful Life Prediction
- Data Quality and Understanding
Upskilling Program
- Customized short courses to upskill engineers and non-engineers to become hybrid data engineers and data analyst.
- MSc and PhD programmes aligned with the project scope and deliverables.
Short Courses
| Short Course Title | Short Course Description | Trainers |
|---|---|---|
| Big Data Analytics for Business (Beginner Level) | To offer the knowledge and skills to examine big data using techniques that allow analysis of large volumes of data in near real time. | AP Ts Dr Jafreezal AP Dr Izzatdin Ts Dr Norshakirah Ts Dr Emelia Akashah |
| Big Data Predictive Analytic using Python Language | This course is designed to expose the participants with the concept of machine learning models for predictive analytics (theory case study) This course includes hand on approach using real world datasets, to test different models and visualize the outputs with different machine learning models which can later be directly applied by the participants to the job. | AP Dr Izzatdin Ts Dr Mohd Hilmi Dr Said Jadid Dr Hitham |
| Big Data Analytics using PowerBI | Introduce the concept of digital analytics and explores its’ various major components such as web analytics, and Data Visualization in detail In particularly, will look at the process, contents and context of managerial decision making This included on how the implementation of Digital Analytics can help in improving management decisions, daily routine work and discuss issues affecting the success of digital analytics. | AP Ts Dr Jafreezal AP Dr Izzatdin Ts Dr Norshakirah Ts Dr Emelia Akashah |
| Big Data Predictive Analytic (Data Analytics and Algorithms) | This course focus on basic concept of measurement dimensions, data quality, fundamental algorithms such as classification algorithm, anomaly detection algorithm, prediction algorithm clustering algorithm | AP Dr Izzatdin Ts Dr Mohd Hilmi |
| Big Data Predictive Analytics Using R (Beginner Level) | This course is designed to expose the participants or data analyst with the concept of data analytic and data visualization At the same time to explores its’ various major components such as Business Analytics and Data Visualization, and business performance management Particularly, we look at the process, content and context of managerial decision making This include how the implementation of Big Data Analytic that can help in improving management decision support effectiveness. | AP Ts Dr Jafreezal AP Dr Izzatdin Ts Dr Norshakirah Ts Dr Emelia Akashah |
| Big Data Predictive Analytics using R (Intermediate Level) | This course is designed to expose the participants with the concept of machine learning models for predictive analytics(theory case study). This included on hand on approach using real world data sets, to test different machine learning models and visualize the outputs with different machine learning models which can be later be directly applied by the participants in the companies. | AP Ts Dr Jafreezal AP Dr Izzatdin Ts Dr Norshakirah Ts Dr Emelia Akashah |
| Big Data Predictive Analytics using R & Python (Advance Level) | This course is designed to expose the participants or data analyst with the concept of data analytic and data visualization At the same time to explores its’ various major components such as Business Analytics and Data Visualization, and business performance management Particularly, we look at he process, content and context of managerial decision making This include how the implementation of Big Data Analytic that can help in improving management decision support effectiveness. | AP Ts Dr Jafreezal AP Dr Izzatdin Ts Dr Norshakirah Ts Dr Emelia Akashah Mdm Shakirah M Taib |
| Internet of Things & Augmented Reality in Oil and Gas | In this course, participants will be introduced to the underlying technology that powers the Internet of Things ( as well as the challenges that come with such technologies At the same time will be exposed to the concept and overall framework of AR, comparing and differentiating it from virtual reality and mixed reality. | AP Ts Dr Jafreezal |
| Big Data Analytics for Oil & Gas Using Power Bi – Refresher | This is a one-day refresher course, specifically customized for Oil & Gas daily operations. It focuses on the concept of digital analytics and explores its’ various major components such as web analytics, and Data Visualization in detail. In particularly, will look at the process, contents and context of managerial decision making. This includes on how the implementation of Digital Analytics can help in improving management decisions, daily routine work and discuss issues affecting the success of digital analytics. | Ts Dr Norshakirah |
| Power BI for Finance Session 1 | This course is specifically customized for the Finance Department of an Oil & Gas company. It introduces the concept of digital analytics and explores its’ various major components such as web analytics, and Data Visualization in detail. In particularly, a Power BI dashboard in financial operations allows participants to monitor and track financerelated KPIs or metrics. This will allow participants to implement better cost and cash management strategies. | Ts Dr Norshakirah |
Research Projects
| Project Title | Sponsor | Status |
|---|---|---|
| Novel Method For Long-Range And Real-Time Pipeline Corrosion Detection | Universiti Teknologi PETRONAS (UTP) | Completed |
| An Exploratory Study on Prior Phase of Technology Addiction Among Children from Parents' Perspective | The Murata Science Foundation | Ongoing |
| Prediction of Job Burnout Using Deep Learning Approach and Unobtrusive Activity Recognition Data | The Murata Science Foundation | Ongoing |
| Failure Prediction Model Using Deep Learning Algorithm For Oil And Gas Machine Or Equipment | FPT Software Malaysia Sdn. Bhd. | Ongoing |
| A Self-Adaptive Multi-Objective Optimization Algorithm For Dynamic Environment | Ministry of Higher Education (MOHE) | Ongoing |
| New Fuzzy C-Means Algorithm With Ant Colony For Imputation Of Missing Values In Data Set. | Ministry of Higher Education (MOHE) | Ongoing |
| Modeling Of A Novel Rf Scavenging Circuit For The Effects Of The Wireless Power Transferred On Gsm-900mhz Signal Sources | Ministry of Higher Education (MOHE) | Completed |
| High-Quality-Factor Tunable Bandpass Filter Using Rf Mems Switches For C-Band Applications | Ministry of Higher Education (MOHE) | Completed |
| Prototype System On Enhanced Cloud Service Negotiation For Cloud Service Cost Optimization | Ministry of Higher Education (MOHE) | Completed |
| Formulation And Implementation Of Corrosion Data Extraction Model For Field Data In Petronas Risk Based Inspection Databases | Yayasan Universiti Teknologi PETRONAS (YUTP) | Completed |
| Design And Development Of A Hybrid Model Based On Modified Back Propagation Neural Network And Chaos Search Genetic Algorithm For The Output Prediction Of A Grid Connected Solar PV System | Yayasan Universiti Teknologi PETRONAS (YUTP) | Completed |
| A Prediction Model For Corrosion Damage Factor Due To Thinning On Oil And Gas Pipelines Using Artificial Neural Network. | Yayasan Universiti Teknologi PETRONAS (YUTP) | Completed |
| Novel Method For Long-Range And Real-Time Pipeline Corrosion Detection | Universiti Teknologi PETRONAS (UTP) | Completed |
| An Exploratory Study on Prior Phase of Technology Addiction Among Children from Parents' Perspective | The Murata Science Foundation | Ongoing |
| Prediction of Job Burnout Using Deep Learning Approach and Unobtrusive Activity Recognition Data | The Murata Science Foundation | Ongoing |
| Failure Prediction Model Using Deep Learning Algorithm For Oil And Gas Machine Or Equipment | FPT Software Malaysia Sdn. Bhd. | Ongoing |
| A Self-Adaptive Multi-Objective Optimization Algorithm For Dynamic Environment | Ministry of Higher Education (MOHE) | Ongoing |
| New Fuzzy C-Means Algorithm With Ant Colony For Imputation Of Missing Values In Data Set. | Ministry of Higher Education (MOHE) | Ongoing |
| A Novel Weight Optimized Recurrent Neural Network For Real-Time Metocean Predictive Analytics. | Ministry of Higher Education (MOHE) | Ongoing |
| A Novel Hybrid Model For Real-Time Predictive And Streaming Analytics Of Metocean Sensor Data | Yayasan Universiti Teknologi Petronas (YUTP) | Ongoing |
| Failure Prediction Model Using Deep Learning Algorithm For Oil And Gas Machine Or Equipment | Yayasan Universiti Teknologi Petronas (YUTP) | Ongoing |
| A Hybrid Model Based On Evolutionary Algorithm And Fuzzy Conceptual Map For Anomaly Detection In High Dimensional Gas Turbine Dataset | Yayasan Universiti Teknologi Petronas (YUTP) | Ongoing |
| A Prediction Model for Corrosion Damage Factor Due to Naphthenic Acid On Oil and Gas Pipelines Using Artificial Neural Network and Genetic Algorithm | Yayasan Universiti Teknologi Petronas (YUTP) | Ongoing |
| Forecasting of Crude Oil Price Using Deep Learning-ANN | Yayasan Universiti Teknologi Petronas (YUTP) | Ongoing |
| The Development of Data Quality Metrics to Assess the Quality of Big Datasets for Petronas PMA using DULANG and ANGSI data | Yayasan Universiti Teknologi Petronas (YUTP) | Ongoing |
| Collaborative Visualization Framework for Cross-field Working Group for Oil and Gas Exploration | Yayasan Universiti Teknologi Petronas (YUTP) | Ongoing |
| A Novel Real-Time Tasks Scheduler for Virtualized Cloud Environments to Support Real-time Oil and Gas Stream Processing in IR 4.0 | Yayasan Universiti Teknologi Petronas (YUTP) | Ongoing |
| Validation of PolyMUMPs Device Model | Yayasan Universiti Teknologi Petronas (YUTP) | Ongoing |