Eliazar Elisha Audu

Accomplished professional with extensive expertise in instrumentations, control, and automation systems including DeltaV Emerson DCS, Allen Bradley, ABB, and Schneider. Proficient in troubleshooting complex engineering problems and designing advanced electrical systems. Skilled in embedded systems and IoT technologies such as STM32, Raspberry Pi, ESP32, Atmel, and Arduino. Experienced in integrating artificial intelligence and machine learning for smart systems. Adept at business intelligence using Power BI and SAP Fund Management & Project Systems. Demonstrated proficiency in MATLAB, CST Microwave Studio, HFSS, Fusion 360, Proteus PCB design software, SolidWorks, electromagnetics, metasurfaces & antenna design. Published researcher with peer review experience for Springer Nature and Soft Computing journals.

• Certified Innovation Professional (CinP) – Innovation Global Institute
• Certified Innovation Strategist (CinS) – Innovation Global Institute
• AC Motors Maintenance & Operational Procedure – NNPC Learning Department
• Computer Simulations & Troubleshooting of Motor Control Systems – SIMUTECH Multimedia, Ca.
• Pipeline Operations Course – GSI Consulting, Lagos, Nigeria
• Load Rack Training for Accuload Controllers – CAKASA Nigeria Limited

• Audu, E. E. E., Eteng, A. A., & Uchendu, I. E. (2025). Novel Analytical Method for Solving Resonant Frequency and Induced Current of Four Coupled Unit Cell Metasurface. Engineering Research Express.
• Eteng, A. A., & Audu, E. E. (2025). Open-Air Quantum Microwave Communications: Generation, Propagation and Detection.
• Audu, E. E., & Eteng, A. (2025). Electromagnetic Metasurfaces: A Review. Applied Sciences Research Periodicals, 3(2), 38-42.
• Audu, E. E., & Eteng, A. A. (2025). Electromagnetic modes in optical fiber waveguides using Nikiforov-Uvarov method. Results in Optics, 18, 100784.
• Eliazar Elisha Audu, Akaa Eteng, Uchendu Iyemeh and Bourdiolon Omijeh (2025). Estimation of resonant frequency of Split Ring Resonator (SRR) using machine learning. In book: Application of Artificial Intelligence in 5G and Internet of Things. DOI: 10.1201/9781003532521-103
• Audu, E. E., Eteng, A. A., & Uchendu, I. (2024). Discretization of Continuous Spaces using Barycentric Subdivision Method with Metric Space Constraints on the Nearest Neighbour Edges. Nigerian Journal of Technological Development, 21(3), 78-87.
• Audu, E. E., Eteng, A. A., Uchendu, I., & Omijeh, B. O. (2024). Equivalent circuit technique for designing split ring resonator based metasurfaces. Engineering Research Express, 6(3), 035362.
• Audu, E. E., Eteng, A., & Uchendu, I. E. (2023). A Study of Dielectric Effects on Resonance Frequency of a Split Ring-Shaped Inclusion. European Journal of Applied Sciences, 11(3), 436–446. https://doi.org/10.14738/aivp.113.14637
• Audu, E. E., & Garg, L. (2022, October). The Numerical Estimation of Spectral Energy Density in Electroencephalogram (EEG). In International Conference on Information Systems and Management Science (pp. 611-625). Cham: Springer International Publishing.
• Nwazor, N. O., & Audu, E. E. (2022). Data communications network for real-time industrial control systems. Nigerian Journal of Technological Development, 19(1), 48-58.
• Audu, E. E., Nwazor, N. O., & Ehikhameh, E. (2022). Multi-channel Process Instrumentation and Control Trainer.
• Udeh, C. M., Anikwe, M. A. N., & Audu, E. E. (2022). Application of Analytical Hierarchical Process in Equipment Maintenance Scheduling and Decision-Making Process in Oil/Gas. J. Energy Res. Rev, 11, 13-28.
• Audu, E. E. (2021). The Study of Electrical Energy Consumption in Cascaded Pumps for Pipeline Operations. Journal of Energy Research and Reviews, 7(2), 43–59. https://doi.org/10.9734/jenrr/2021/v7i230189.
• Agrawal, A., Garg, L., Audu, E. E., Pachori, R. B., & Dauwels, J. H. (2019). Early detection of epileptic seizures based on scalp EEG signals. In Medical Imaging (pp. 42-61). CRC Press.
• Audu, EE, Ikot, AN and Garg, L (2018). Quantum Mechanical Tunneling and Its Applications in Nano-scale semiconductor Devices: A review. International Conference on Materials, Applied Physics and Engineering (ICMAE), Indore India.
• Audu, EE, Garg, L and Akujobi-Emetuche, G (2018). Petrochemical Process Time-Series Forecasting using Artificial Neural Network. International Conference on Information Systems and Management Science (ISMS), Malta.
• Elisha, A. E., Garg, L., Falzon, O., & Di Giovanni, G. (2017, October). EEG feature extraction using common spatial pattern with spectral graph decomposition. In 2017 International Conference on Computing Networking and Informatics (ICCNI) (pp. 1-8). IEEE.
• Bonello, J., Garg, L., Garg, G., & Audu, E. E. (2018). Effective data acquisition for machine learning algorithm in EEG signal processing. In Soft Computing: Theories and Applications: Proceedings of SoCTA 2016, Volume 2 (pp. 233-244). Springer Singapore.
• Elisha, A. E., & Garg, L. (2016). Networked control system for electrohydraulic flow control positioner using Neural Controller and Collaborative Network. International Journal of Scientific and Engineering Research,7(8),1829-1842.
• Audu, E. E., & Ojekudo Nathaniel, A. (2016). Application of real-world simulation: A bridge between theory and practice in higher education in Nigeria. IOSR J Res Method Educ, 6(4), 59-70.
• Bugeja, S., Garg, L., & Audu, E. E. (2016, August). A novel method of EEG data acquisition, feature extraction and feature space creation for early detection of epileptic seizures. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 837-840). IEEE.

• Building anything electronic, Table tennis, reading