Artificial Intelligence (AI) and Its Applications:

Finance (Fraud prediction/detection), AI Auditing, Energy (demand prediction, intelligent transmission and distribution, NeXT-Gen Smart Grid), Deep learning Neural Network, Image Processing, Environmental (Disaster prediction/warning), Health (Prediction and Classification of ddiseases), Intrusion Detection in: IoT/SWDN, Smart home, Smart Cities, 4IR and Digitalization, 5IR(Cobot), Cybersecurity, Intrusion Detection, Wireless Networks, Intelligent Radio Networks, Smart Grid, Big Data, Mobile and Cloud Computing.

• Artificial Intelligence/Machine Learning application
• Computer Science and Engineering
• Electronics Engineering

Currently developing two books:

• Esenogho Ebenezer “Artificial Intelligence and Fourth Industrial Revolution: The Africa Perspective”.
• Esenogho Ebenezer and Cameron T. Modisane “AI and Auditing”

Accredited Journal articles

Below the citation metrics followed by the publications

GoogleScholar: https://scholar.google.com/citations?user=d5-86KEAAAAJ&hl=en&oi=ao 

Scopus ID: https://www.scopus.com/authid/detail.uri?authorId=57193790575 

WoS ID: https://www.webofscience.com/wos/author/record/AAY-4040-2021 

Orcid ID: https://orcid.org/0000-0002-5328-1497 

RG: https://www.researchgate.net/Profile/Ebenezer-Esenogho 

Selected journal publications

• Ibomoiye D. Mienye, Esenogho, Cameron Modisane, “Detecting Imbalanced Credit Card Fraud via Hybrid Graph Attention and Variational Autoencoder Ensembles, AppliedMaths 2025, 5(4), 131; https://doi.org/10.3390/appliedmath5040131.
• Lukman, E. Esenogho and M. Cameron, “Blockchain Integration with Multimodal Biometric Authentication System for Secure Smart Verifiable Electronic Voting System” IEEE ACCESS doi:10.1109/ACCESS.2025.3618970,
• Mienye, I.D., Jere, N., Obaido, G. E Esenogho et al. “Large language models: an overview of foundational architectures, recent trends, and a new taxonomy”, Springer Nature, Discovery Applied Sci. 7, 1027 (2025). https://doi.org/10.1007/s42452-025-07668-w
• T. Akiishi, E. Esenogho, A. Ali and M. Cameron, "Analyzing the First-Order Statistical Properties of Vehicle-to-Vehicle Rician Fading Channel," in IEEE Access, vol. 13, pp. 36359-36373, 2025, doi: 10.1109/ACCESS.2025.3544436.
• Akiishi, S., Ali, A., Esenogho, & Cameron, M. (2025). Second-Order Statistical Properties of Vehicle-to-Vehicle Rician Fading Channel. Telecom, 6(1), 10. https://doi.org/10.3390/telecom6010010.
• Esenogho, S. T. Akiishi, and M. Cameron “Advanced Interference Management Techniques for 5G/6G Wireless Networks: A Brief Overview”. (Accepted for Publication in JAIT 2025).
• Manisha Kumari; Mayank Agarwal; Esenogho; Neha Pramanick “An Optimized IDS Framework for Big Data Environments: Integrating Gravitational Search and SMOTE-IPF Data Balancing for High-Accuracy IDS. (Accepted for publication, Springer-SN Computer Science,2025)
• Lukman, E. Esenogho and M. Cameron, “Blockchain Integration with Multimodal Biometric Authentication System for Secure Smart Verifiable Electronic Voting System” (Accepted for publication in IEEE ACCESS 2025)
• Lukman, E. Esenogho and M. Cameron “Artificial Intelligence-Based Pipeline Leak Detection and Fluid Flow Analysis using Flexural Ultrasonic Sensor and Machine Learning Algorithms (Accepted for publication in Heliyon-Elsevier)
• Asaba Shabiluh, Ukagwu K. John, Esenogho, Edward Dintwa, Sajid M. Sheikh, Matlotse E, “Throughput and Latency Performance Evaluation of an Optical Fibre Network”, Journal of Advances in Information Technology, JAIT 2025 Vol.16(1): 71-80, doi: 10.12720/jait.16.1.71-80
• Kazeem Oyebode, Esenogho, and M. Cameron “Exploring Multimodal Deep Learning: Comparing Pre-trained and Custom Models for COVID-19 Classification”. Accepted for publication Journal of Advances in Information Technology, 2025).
• Kipongo, T. G. Swart and E. Esenogho, “Artificial Intelligence-Based Intrusion Detection and Prevention in Edge-Assisted SDWSN with Modified Honeycomb Structure," in IEEE Access, vol. 12, pp. 3140-3175, 2024, doi: 10.1109/ACCESS.2023.3347778.
• Alaneme, G.U., Olonade, K.A., E Esenogho, Edward Dintwa. “Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended Geopolymer concrete”. Science Report, 14, 26151 (2024). https://doi.org/10.1038/s41598-024-77144-9            
• Alaneme, G.U., Olonade, K.A., Esenogho, et al. “Proposed simplified methodological approach for designing geopolymer concrete mixtures”. Scientific Report, 14, 15191 (2024).        
• Alaneme George Uwadiegwu, Olonade Kolawole Adisa, Esenogho, “Critical Review on The Application of Artificial Intelligence Techniques in The Production of Geo-polymer‑Concrete”, SN Applied Sciences, Springer Nature Vol 5, no217, 2023, https://doi.org/10.1007/s42452-023-05447-z.
• Alaneme George Uwadiegwu, Kolawole Adisa Olonade, Esenogho “Eco‑Friendly Agro‑Waste Based Geopolymer‑Concrete: A Systematic Review” Discover Materials, Springer Nature vol. 3 no, 14, 2023, https://doi.org/10.1007/s43939-023-00052-8.
• Muhammad Abid Ali, Abdul Rauf Bhatti, Akhtar Rasool, Muhammad Farhan, Esenogho, “Optimal Location and Sizing of Photovoltaic-Based Distributed Generations to Improve the Efficiency and Symmetry of a Distribution Network by Handling Random Constraints of Particle Swarm Optimization Algorithm”. Symmetry, vol.15, no.9, pp.1752; https://doi.org/10.3390/sym15091752, 2023,
• Matimu Nkuna, Esenogho., Reolyn Heyman, Edwin Maltose “Using Artificial Neural Network to Test Image Covert Communication Effect” Journal of Advances in Information Technology, Vol. 14, No. 4, pp.741-748, 2023, doi: 10.12720/jait.14.4.741-748.
• Joseph Kipongo, Theo G. Swart, and Esenogho “Design and Implementation of Intrusion Detection Systems using RPL and AOVD Protocols-based Wireless Sensor Networks” International Journal of Electronics and Telecommunications, 2023, vol. 69, no. 2, pp. 309-318, DOI: 10.24425/ijet.2023.144366.
• Ogwal Emmanuel, Joseph Ebosetale Okhaifoh, Esenogho and Edwin Matlotse “Development of an Optimum Beamforming Strategy for Outdoor Communication in Millimeter Wave Wireless Sensor Network" Journal of Communications, vol. 18, no. 9, pp. 545-554, doi:10.12720/jcm.18.9.545-554, 2023.
• Esenogho, K. Djouani, A. Kurien, “Integrating Artificial Intelligence (AI), Internet of Things (IoT) and 5G for Next-Generation Smart grid: A Survey of Trends and Prospect” IEEE Access, Vol 10, pp. 4794-4831, 2022, DOI: 10.1109/ACCESS.2022.3140595.
• Obaido G, Ogbuokiri B, Swart TG, Ayawei N, Kasongo SM, Aruleba K, Mienye ID, Aruleba I, Chukwu W, Osaye F, Egbelowo O. F, Simphiwe S, E. Esenogho. “An Interpretable Machine Learning Approach for Hepatitis B Diagnosis” Applied Sciences. 2022; 12(21):11127. https://doi.org/10.3390/app122111127.
• Sarah Alexandria Nabofa-Ebiaredoh, Esenogho, Theo G. Swart, et al “A Machine Learning Method with Filter-Based Feature Selection for Improved Detection of Chronic Kidney Disease” Bioengineering 2022, vol. 9, no. 8, 350; https://doi.org/10.3390/bioengineering9080350, Switzerland.   
• S. Martey, E. Esenogho “Improved Cluster to Normal Ratio Protocol for Increasing the Lifetime of Wireless Sensor Networks” Indonesian Journal of Electrical Engineering and Computer Science Vol. 26, No. 2, May 2022, pp. 1135~1147 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v26.i2.pp1135-1147.                          
• Kipongo, E. Esenogho, Theo G. Swart “Efficient Topology Discovery Protocol for Software Defined Wireless Sensor Network” Bulletin of Electrical Engineering and Informatics, Vol. 11, No. 1, February 2022, pp. 256~269, ISSN: 2302-9285, DOI: 10.11591/eei.v11i1.3240.                         
• Esenogho, Ibomoiye Domor Mienye, Theo G Swart, Kehinde Aruleba, George Obaido “A Neural Network Ensemble with Feature Engineering for Improved Credit Card Fraud Detection” IEEE Access, Vol 10, pp.16400- 6407, 2022.
• Sarah Alexandria Nabofa-Ebiaredoh, Esenogho., Theo G. Swart “Improved machine learning methods for classification of imbalanced data” https://hdl.handle.net/10210/481973                                           
• Sarah Alexandria Nabofa-Ebiaredoh, Esenogho., Theo G. Swart “Artificial Neural Network Technique for Improving Prediction of Credit Card Default: A Stacked Sparse Autoencoder Approach” International Journal of Electrical and Computer Engineering (IJECE), Vol. 11, No. 5, October 2021, pp. 4392~4402, ISSN: 2088-8708, DOI: 10.11591/ijece. v11i5.pp4392-4402.                                                                    
• Sarah Alexandria Nabofa-Ebiaredoh, Esenogho, T. G. Swart “Integrating Enhanced Sparse Autoencoder Based Artificial Neural Network Technique and SoftMax Regression for Medical Diagnosis Published MDPI Electronics Journal, 2020, 9(11), 1963; https://doi.org/10.3390/electronics9111963.
• Esenogho., T. G. Swart, T. Shongwe “Leveraging on the Cognitive Radio Channel Aggregation Strategy for Next Generation Utility Networks Energies, Special Issue on Smart Energy of the Future 2019, Vol. 12, no.14, 2753, doi:10.3390/en12142753, Switzerland, ISSN/E-ISSN: 1996-1073,                 
• Matimu Nkuna, Esenogho., Reolyn Heyman "Integrating Smartphone Network Architecture and Data Security Techniques to Mitigate Sharp Practices in Non-Profit Organizations" Published in Journal of Communications, Vol. 15, no.10, pp 755-767, doi:10.12720/jcm.15, 2019.                                                   
• Esenogho. and Elie Ngomseu Mambou, Hendrik Ferreira “On the improvement of the Knuth’s Redundancy Algorithm for Balancing Codes” Published in Journal of Communications, vol. 14, no. 11, pp. 1104-1109, 2019, pp.1147-1154, doi: 10.12720/jcm.14.11.
• Esenogho, Elie N. Mambou Theo G. Swart, and Hendrik C. Ferreira, “Binary Balanced Codes Approaching Capacity,” Published in Journal of Communications, vol. 14, no. 11, pp. 1104-1109, . Doi: 10.12720/jcm.14.11. Pp.1104-1109, USA. ISSN: 1796-2021.
• Ngomseu Mambou E. Esenogho., Hendrik Ferreira “Improving the Redundancy of the Knuth Balancing Scheme for Packet Transmission Systems” Turk Journal of Elec Eng. & Computer Science 2019, Vol 27, no.4, pp. 2579-2587, doi:10.3906/elk-1810-112, E-ISSN: 1303-620, ISSN: 1300-063.                  
• Esenogho. “Effect of an Incumbent User on Unlicensed Users Channels in Cognitive Radio Networks: An Overlay Performance Evaluation” Published in Journal of Communications Vol.13, no.6 pp 275-283, 2018.
• Esenogho, Elie Ngomseu Mambou, Hendrik Ferreira “Integrating Two Feedback Queuing Discipline into Cognitive Radio Channel Aggregation” Published in International Journal of Electronic and Telecommunications, 2018, Vol.64, no.4, pp.519–525.
• Esenogho, E. Ngomseu Mambou, Hendrik Ferreira “On the Evaluation of Handover Exchange Schemes Between Two Cognitive Radio Base Stations with and without Buffers” International Journal of Electronic and Telecommunications, Vol.64, no.4 2018, pp.513–518, Scopus-Elsevier, Poland/Germany. E-ISSN: 2300-1933.
• Esenogho and Viranjay M. Srivastava, “Performance Analysis of Heterogeneous Channel Assembling Strategies in Cognitive Radio Networks” Published in International Journal of Engineering and Technology Innovation, (IJETI), vol 7, No. 2, pp. 98 – 116, 2017.
• Esenogho, Viranjay M. Srivastava, “Channel Assembling Strategy in Cognitive Radio Networks: A Queuing Based Approach” Published in International Journal on Communications Antennas and Propagation, (IRECAP), vol 7, No 1, pp.31-47, 2017.

• Corporate Member Nigerian Society of Engineers MNSE (Nigeria) Rg.27949, 2012.
• Council for the Regulation of Engineering in Nigeria COREN Rg. 28,457 2014
• Member Institute of Electrical Electronic Engineering MIEEE (USA) Rg.93284883, 2018.
• Member IEEE Young Professional (USA) Rg.93284883 2018.
• Member International Association of Engineers MIAENG (Hong Kong) Rg.147998, 2014.
• Member South Africa Institute of Electrical Engineers (SAIEE).2015 

Academic Projects:

• PhD Thesis Titled: Channel Assembling Policies for Heterogeneous Fifth Generation (5G) Cognitive Radio Networks.
• Design and Implementation of an Intelligent Floodlight Control System
• Design and Construction of a Smart Burglar Alarm System Using Infra-Red Sensors

 Industrial Projects

• Liquid Intelligence Research Project Coordinator: Application of SDN/AI for network monitoring and the development of preventive/corrective customer churn framework 2020.

• IT/Network Support Engineer “Exxon Mobil’s INIM Life Extension Project” for Cakasa 2010 Completed.
• IT/Network Support Engineer “Chevron’s DIBI Long-term Facility Project” for Cakasa 2010.
• IT/Network Support Engineer “Sinopec’s Stub Creek Marginal Project” for Cakasa 2010 Completed.
• IT/Network Support Engineer “Chevron’s Sales Gas Manifold Project” for Cakasa 2010 Completed.

 Others (Soft skills)

• Python, C++, C, MATLAB
• Microsoft Suites.
• IDE (PyCharm, IDLE)
• NS3, OMNET++, and OPTNET.

 Professional Training/Workshops/Summits Undergone

• Cybersecurity Awareness Training (Phishing), UNISA, 2025
• Cybersecurity Awareness and Training: POPIA & Unsecure sharing of information, UNISA, 2025.
• IEEE CertifAIEd Assessor Training (AI Ethics Certification),2025
• BQA Certified Assessor, 2025
• BQA Certified Moderator,2025
• Harnessing Artificial Intelligence for Transformative Education in Africa: Opportunities, Challenges, and Future Directions. Workshop organized by Michigan State University, November 2024.
• Huawei Certified ICT Associate (HCIA Training-Security) September 2024.
• Huawei Certified ICT Associate (HCIA Training-Datacom) September 2024.
• Patenting and commercialization of research output, University of Botswana June 2023.
• Instructional design system: Technology and support learning, University of Botswana, July 2023. 
• Training on Blackboard Learn and Moodle Learning Management System, University of Botswana, 2022 
• Coursera/UJ Training program on IBM’s Machine Learning, Big Data, Data Science, Block chain, Cloud Computing, Computer Security, Decision Making Problem Solving, Leadership and Emotional Intelligence

Other Peered Reviewed Journal articles

• Sylvester Akiishi, Ahmed Ali, Esenogho, “Space-Time Correlated Model for Mobile-to-Mobile Rayleigh Fading Channel: Simulator Performance”. IJERD, vol.20, issue7, July 2024 (e-ISSN:2278-067X, ISSN(Print): 2278-800X)
• Nkuna, M.C, Esenogho “Using Artificial Neural Network to Analyse Stego Images” Nigerian Research Journal of Engineering and Environmental Sciences 6(2) 2021 pp. 476-482. ISSN: 2635-3342; e ISSN: 2635-3350.                 
• Oyebode K. O, Esenogho. “Syntactically Enriched Tool Enabling Dynamic Binding to Web Services” The Pacific Journal of Science and Technology, Hawaii, USA. May Fall 2014 (spring) edition Vol. 15, Number 1. Published pp.124-131, http://www.akamaiuniversity.us/PSJT.html, ISSN: 15517624.              
• Esenogho, Idiagi Neville S, Apeh Simon T. “Primary users ON/OFF activities over MF-TDMA based Cognitive Radio networks “Nigerian Journal of Technological Research (NJTR) Minna. 2014. vol. 9 No.2, Published pp.64-68, ISSN: 0795-5111.       
• Ogujor E. A, Olalekan D., and E. Esenogho “Load Flow Simulation for Loss Minimization in Power System” Published in Journal of National Association Mathematical Physics vol. 23, pp. 409-416, ISSN: 1116-4336, 2013.
• Esenogho, Omoifo. O “Design and Implementation of an Intelligent Floodlight Control System”. Published in Journal of National Association Mathematical Physics vol.23, pp.403-408, ISSN: 1116-4336, 2013.      
• Esenogho, Idiagi N.S, Igimoh. J “Development and implementation of a Biometric Security Lock System” (Published in Journal of Nigeria Association of Production Engineers Volume 14 March 2013), pp.121-133, ISSN: 1117-5893.                     
• Ogujor E. A, Esenogho. And Esekhhile “Effect of Second Hand (Used) Equipment on Electrical Power Demand: A Study of Some Selected Residence in University of Benin, Benin City. (Published, Journal of Science & Technology 2014 vol. 2 No.1, pp.57-61, ISSN: 2315-6-28.

Ogujor A. E, Inegbenosa S., and Esenogho. “Development and Implementation of a prototype Microcontroller-Based Anti-Pipeline Vandalisation System”, Journal of Science & Technology 2014, vol.2, No.1 pp.47-56., ISSN: 1117-5893

International Collaborations and Linkage

• Liquid Intelligence Research Hub/Center for Collaborative Digital Networks
• University of Johannesburg (Institute for Intelligent System, IIS)
• University of Johannesburg (Center for Telecommunication)
• McGill University, Montreal, Canada
• Anglia Ruskin University, United Kingdom
• University of Witwatersrand
• University of the University of KwaZulu-Natal (Center of Excellence CoE/Centre for Radio Access, and Rural Technology, CRAART)
• Pan-Atlantic University, Nigeria
• Alabama State University, USA
• University of Leicester, United Kingdom
• University of California, Berkeley
• Kampala International University.
• University of Botswana, Gaborone
• Indian Institute of Technology, Patna,