UTP Scholars: Dr Madiah binti Omar


Office Address

Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:
Email: madiah.omar@utp.edu.my
Scopus
Author ID
Document Count
47
Total Citations
203
h-Index
8
Co-authors
68
Google Scholar Citations
Author Profile URL
Citations
280
h-Index
10
Research Gate
Author Profile URL
Publications
44
Citations
173
Reads
4,293
Note: Updated as of Quarter 2, 2025 (May)

Title:
Senior Lecturer

Specialization:
  • Process Control and Automation
  • Simulation and Modelling
  • Dry-Low Emission Gas Turbine
  • Artificial Intelligence
  • Machine Learning
  • Support Vector Machine
  • Predictive Maintenance
  • Induction Motor
  • Power Plant
  • Power Generation

Qualifications:
  • 2012, Degree in Bachelor of Engineering (Chemical) by Universiti Teknologi PETRONAS, Malaysia
  • 2014, Master in Analytical Instruments, Measurement and Sensor Technology by Hochschule für Angewandte Wissenschaften Coburg, Germany
  • 2021, PhD in Electrical and Electronic Engineering by Universiti Teknologi PETRONAS, Malaysia

Other Information:

Short Biography:
Dr. Madiah Binti Omar is a Senior Lecturer at Universiti Teknologi PETRONAS (UTP) and a distinguished academician in Industry Revolution 5.0 (IR5.0) with over 10 years of experience in Artificial Intelligence (AI), modeling, predictive maintenance, digital twin technology, hardware integration, and system engineering for rotating equipment and chemical processes. She holds a PhD in Electrical and Electronic Engineering from UTP, where she developed a novel hybrid AI technique for fault prediction in dry low-emission gas turbines. Her academic background also includes a Masters degree in Analytical Instrumentation from Coburg University in Germany and a Bachelors degree in Chemical Engineering from UTP. Dr. Madiah leads the RoboTech Innovation Centre (ROBOTIC) at the university, supporting the national agenda for achieving IR5.0. She actively conducts short courses, develops training modules in AI for engineers, and is frequently invited as a speaker in the maintenance field. Her work involves collaboration with multiple industries, and she has been awarded six gold medals at ITEX and MTE, along with two patents and two copyrights for her innovations in digital twin technology and predictive maintenance. Additionally, she serves as the principal investigator for 12 AI-driven research grants and consultancy projects. Her current research interests in IR5.0 focus on creating a digital ecosystem where AI-driven innovations and human efforts work collaboratively.


Number of items: 28.

Sundararajan, A. and Omar, M. and Ibrahim, R. and Salehuddin, N.F. (2024) Development of gas turbine model interface for digital twin application. In: UNSPECIFIED.

Palli, A.S. and JafreezalJaafar and Gilal, A.R. and Alsughayyir, A. and Gomes, H.M. and Alshanqiti, A. and Omar, M. (2024) Online Machine Learning from Non-stationary Data Streams in the Presence of Concept Drift and Class Imbalance: A Systematic Review. Journal of Information and Communication Technology, 23 (1). pp. 105-139.

Md Jamil, M.N.B. and Omar, M. and Ibrahim, R. and Bingi, K. and Faqih, M. (2024) Rectenna System Development Using Harmonic Balance and S-Parameters for an RF Energy Harvester. Sensors, 24 (9).

Bahashwan, A.A. and Ibrahim, R. and Omar, M. and Amosa, T.I. (2024) Supervised learning-based multi-site lean blowout prediction for dry low emission gas turbine. Expert Systems with Applications, 244.

Rehman, M. and Akbar, R. and Omar, M. and Gilal, A.R. (2024) A Systematic Literature Review of Ransomware Detection Methods and Tools for Mitigating Potential Attacks. Communications in Computer and Information Science, 2001 C. pp. 80-95.

Iskandar, M. and Bingi, K. and Rajanarayan Prusty, B. and Omar, M. and Ibrahim, R. (2023) Artificial Intelligence-Based Human Gesture Tracking Control Techniques of Tello EDU Quadrotor Drone. IET Conference Proceedings, 2023 (11). pp. 123-128. ISSN 27324494

Iskandar, M. and Bingi, K. and Ibrahim, R. and Omar, M. and Arun Mozhi Devan, P. (2023) Hybrid Face and Eye Gesture Tracking Algorithm for Tello EDU RoboMaster TT Quadrotor Drone. In: UNSPECIFIED.

Devan, P.A.M. and Ibrahim, R. and Omar, M. and Bingi, K. and Abdulrab, H. (2023) A Novel Hybrid Harris Hawk-Arithmetic Optimization Algorithm for Industrial Wireless Mesh Networks. Sensors, 23 (13).

Kasraoui, A. and Bingi, K. and Ibrahim, R. and Omar, M. and Devan, P.A.M. and Prusty, B.R. (2023) Tracking Control of Tello EDU Quadrotor Drone Using Image Thresholding. In: UNSPECIFIED.

Devan, P.A.M. and Ibrahim, R. and Omar, M. and Bingi, K. and Nagarajapandian, M. and Abdulrab, H. (2023) A novel fractional-order dead-time compensating controller for the wireless networks. Scientific Reports, 13 (1).

Salehuddin, N.F. and Omar, M. and Ibrahim, R. (2022) Color Measurement for Petroleum Products: A Short Review. In: UNSPECIFIED.

Rosli, N.S. and Ibrahim, R. and Ismail, I. and Omar, M. (2022) Modeling of high voltage induction motor cooling system using linear regression mathematical models. PLoS ONE, 17 (11 Nov). ISSN 19326203

Tran, D.C. and Ibrahim, R. and Hussin, F.A. and Omar, M. (2021) Energy-efficient superframe scheduling in industrial wireless networked control system. Lecture Notes in Electrical Engineering, 666. pp. 1227-1242. ISSN 18761100

Gilal, A.R. and Jaafar, J. and Omar, M. and Basri, S. and Aziz, I.D.A. (2019) A Set of Rules for Constructing Gender-Based Personality Types� Composition for Software Programmer. Lecture Notes in Electrical Engineering, 520. pp. 363-374. ISSN 18761100

Gilal, A.R. and Omar, M. and Gilal, R. and Waqas, A. and Afridi, S. and Jaafar, J. (2019) A decision tree model for software development teams. International Journal of Innovative Technology and Exploring Engineering, 8 (5s). pp. 241-245. ISSN 22783075

Gilal, A.R. and Jaafar, J. and Capretz, L.F. and Omar, M. and Basri, S. and Aziz, I.A. (2018) Finding an effective classification technique to develop a software team composition model. Journal of Software: Evolution and Process, 30 (1). ISSN 20477481

Omar, M. and Ibrahim, R. and Abdullah, M.F. and Tarik, M.H.M. (2018) Modelling and System Identification of Gas Fuel Valves in Rowen's Model for Dry Low Emission Gas Turbine. In: UNSPECIFIED.

Tarik, M.H.M. and Omar, M. and Abdullah, M.F. and Ibrahim, R. (2018) Optimization of neural network hyperparameters for gas turbine modelling using bayesian optimization. In: UNSPECIFIED.

Jaafar, J. and Gilal, A.R. and Omar, M. and Basri, S. and Aziz, I.A. and Hasan, M.H. (2018) A Rough-Fuzzy Inference System for Selecting Team Leader for Software Development Teams. Advances in Intelligent Systems and Computing, 661. pp. 304-314. ISSN 21945357

Gilal, A.R. and Jaafar, J. and Abro, A. and Omar, M. and Basri, S. and Saleem, M.Q. (2017) Effective personality preferences of software programmer: A systematic review. Journal of Information Science and Engineering, 33 (6). pp. 1399-1416. ISSN 10162364

Gilal, A.R. and Jaafar, J. and Abro, A. and Umrani, W.A. and Basri, S. and Omar, M. (2017) Making programmer effective for software development teams: An extended study. Journal of Information Science and Engineering, 33 (6). pp. 1447-1463. ISSN 10162364

Tarik, M.H.M. and Omar, M. and Abdullah, M.F. and Ibrahim, R. (2017) Modelling of dry low emission gas turbine using black-box approach. In: UNSPECIFIED.

Omar, M. and Tarik, M.H.M. and Ibrahim, R. and Abdullah, M.F. (2017) Suitability study on using rowen's model for dry-low emission gas turbine operational performance. In: UNSPECIFIED.

Gilal, A.R. and Jaafar, J. and Omar, M. and Basri, S. and Aziz, I.A. (2016) Balancing the personality of programmer: Software development team composition. Malaysian Journal of Computer Science, 29 (2). pp. 145-155. ISSN 01279084

Gilal, A.R. and Jaafar, J. and Basri, S. and Omar, M. and Abro, A. (2016) Impact of software team composition methodology on the personality preferences of Malaysian students. In: UNSPECIFIED.

Gilal, A.R. and Jaafar, J. and Basri, S. and Omar, M. and Tunio, M.Z. (2016) Making programmer suitable for team-leader: Software team composition based on personality types. In: UNSPECIFIED.

Gilal, A.R. and Jaafar, J. and Omar, M. and Basri, S. and Waqas, A. (2016) A rule-based model for software development team composition: Team leader role with personality types and gender classification. Information and Software Technology, 74. pp. 105-113. ISSN 09505849

Gila, A.R. and Jaafa, J. and Omar, M. and Tunio, M.Z. (2014) Impact of personality and gender diversity on software development teams' performance. In: UNSPECIFIED.

This list was generated on Sat Jul 5 06:34:17 2025 +08.