Omar, Madiah binti

Omar, Madiah binti

Dr.

Positions

Head, RobotTech Innovation Centre , Institute of Emerging Digital Technologies
Senior Lecturer, Chemical Engineering Department , Faculty of Engineering
Senior Lecturer, Universiti Teknologi PETRONAS 2024 -

member of

Chemical Engineering Department

selected publications

academic article
- Rectenna System Development Using Harmonic Balance and S-Parameters for an RF Energy Harvester. Sensors. 24:2843. 2024
- Supervised learning-based multi-site lean blowout prediction for dry low emission gas turbine. Expert Systems with Applications. 244:123035. 2024
- A Novel Hybrid Harris Hawk-Arithmetic Optimization Algorithm for Industrial Wireless Mesh Networks. Sensors. 23:6224. 2023
- A novel fractional-order dead-time compensating controller for the wireless networks. Scientific Reports. 13:17658. 2023
- Application of Neural Network in Predicting H2S from an Acid Gas Removal Unit (AGRU) with Different Compositions of Solvents. Sensors. 23:1020. 2023
- Prediction of Dry-Low Emission Gas Turbine Operating Range from Emission Concentration Using Semi-Supervised Learning. Sensors. 23:3863. 2023
- A Neural Network-Based Model for Predicting Saybolt Color of Petroleum Products. Sensors. 22:2796. 2022
- Dry-Low Emission Gas Turbine Technology: Recent Trends and Challenges. Applied Sciences. 12:10922. 2022
- Modeling of high voltage induction motor cooling system using linear regression mathematical models. PLOS ONE. 17:e0276142. 2022
- Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review. Fractal and Fractional. 6:27. 2022
- Smart Grid Stability Prediction Model Using Neural Networks to Handle Missing Inputs. Sensors. 22:4342. 2022
- The Lean Blowout Prediction Techniques in Lean Premixed Gas Turbine: An Overview. Energies. 15:8343. 2022
chapter
- Energy-Efficient Superframe Scheduling in Industrial Wireless Networked Control System. Lecture Notes in Electrical Engineering. 1227-1242. 2021
conference paper
- Development of gas turbine model interface for digital twin application. INTERNATIONAL SYMPOSIUM ON GREEN AND SUSTAINABLE TECHNOLOGY (ISGST2019). 2024
- Artificial intelligence-based human gesture tracking control techniques of Tello EDU Quadrotor Drone 2023
- Automated determination of optimal component design for a binary solvent for absorption-based acid gas removal. Sustainable Processes and Clean Energy Transition. 2023
- Convective Cloud Classification System using Convolution Neural Network 2023
- Development of Rectifier Performance Using Harmonic Balance Simulation for RF Energy Harvester Prototype 2023
- Development of web-based interface for dry-low emission gas turbine using raspberry Pi. Sustainable Processes and Clean Energy Transition. 2023
- Fractional-Order Predictive PI Controller-Based Dead-Time Compensator for Wireless Networks 2023
- Gas turbine combustion profile modelling for predictive maintenance using an artificial neural network. Sustainable Processes and Clean Energy Transition. 2023
- Hybrid Face and Eye Gesture Tracking Algorithm for Tello EDU RoboMaster TT Quadrotor Drone 2023
- Real-Time UAV System Integration for Fire Detection and Classification 2023
- Tracking Control of Tello EDU Quadrotor Drone Using Image Thresholding 2023
- Color measurement for petroleum products: A short review. INTERNATIONAL SYMPOSIUM ON GREEN AND SUSTAINABLE TECHNOLOGY (ISGST2019). 2022
- Data-driven lean blowout prediction based on industrial dry low emission gas turbine dataset Using decision tree 2022
- Development of Rowen’s Model for Dry-Low Emission Gas Turbine Dynamic Simulation using Scilab 2022
- Employment of ANN for Predictive Motor Maintenance and Bearing Fault Detection Using Park’s Vector Analysis 2022
- Improved Whale Optimization Algorithm for Optimal Network Coverage in Industrial Wireless Sensor Networks 2022
- Modelling and System Identification of Gas Fuel Valves in Rowen’s Model for Dry Low Emission Gas Turbine 2018
- Modelling of dry low emission gas turbine using black-box approach 2017
- Suitability study on using rowen's model for dry-low emission gas turbine operational performance 2017

education and training

Ph.D. in Electrical and Electronics Engineering, Universiti Teknologi PETRONAS 2015 - 2020
M.E. in Analytical Instruments, Measurement and Sensor Technology, Hochschule für Angewandte Wissenschaften Coburg, Germany 2012 - 2014
B.E. in Chemical Engineering, Universiti Teknologi PETRONAS 2007 - 2012

full name

Madiah binti Omar

primary email

madiah.omar@utp.edu.my

webpage

Publications in VIVO

Co-author Network

Contact Info

madiah.omar@utp.edu.my

Websites