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DR.ETENGU RICHARD(COMPUTER SCIENCE AS SENIOR LECTURER)

Dr. Etengu Richard

Senior Lecturer

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Dr. Etengu Richard

  • Senior Lecturer
  • etengur@yahoo.com
  • +256761398483

Richard Etengu received the Diploma in Computer Science (first-class) and the B.S. degree (first-class honors) in Information Technology from Nkumba University, Uganda, in 2001 and 2003, respectively. He received the M.Sc. degree in Information Technology from Multimedia University, Malaysia in 2011. In 2024 he received a Ph.D. in Information Technology from Multimedia University, Malaysia. Since 2025, he has been with the Faculty of Computing and Information Sciences, Lira University, Uganda. His research interests include communication networks, artificial intelligence (AI) and machine learning (ML), network security, public critical infrastructure protection, intrusion detection and prevention systems, and quantum optical communication.

Education & Qualifications
  1. Ph.D. in Information Technology, Multimedia University, Cyberjaya Malaysia
  2. Master of Science in Information Technology, Multimedia University, Cyberjaya Malaysia
  3. Bachelor of Science in Information Technology, Nkumba University, Uganda

Missing…

  1. Etengu, F. M. Abbou, H. Y. Wong, A. Abid, N. Nortiza and A. Setharaman, “Performance Comparison of BB84 and B92 Satellite-based Free Space Quantum Optical Communication Systems in the Presence of Channel Effects.” Journal of optical communications 32, no. 1, 37-47, 2011.
  2. Etengu, S. C. Tan, C. K. Lee, F. M. Abbou and T. C. Chuah, “AI-Assisted Framework for Green-Routing and Load Balancing in Hybrid Software-Defined Networking: Proposal, Challenges and Future Perspective,” in IEEE Access, vol. 8, pp. 166384-166441, 2020.
  3. Banyal, W. H., Hammed, A., Ahmad, J., Nisar, K., Haque, M. R., Ibrahim, A. A. A., Rodriges, J. J. P., Khan, M. A., Rawat, D. B., and Etengu, R. (2022), “New Modified Controlled BAT Algorithm for Numerical Optimisation Problem,” CMC-Computers, Materials & Continua, 2021, DOI: 10.32604/cmc.2021.017789.
  4. Haque, M. R., Tan, S. C., Yusoff Z., Nisar, K., Kaspin, R., Haider, I., Nisar, S., Rodrigues, J. P. C., Chowdhry, B. S., Uqaili, M. A., Majumder, S. P., Rawat, D. B., Etengu, R., and Buyya, R. (2022). “Unprecedented Smart Algorithm for Uninterrupted SDN Services During DDoS Attack,” CMC-Computers, Materials & Continua, 70(1), 879-894.
  5. Pervaiz, Sobia and Haider Bangyal, Waqas and Ashraf, Adnan and Nisar, Kashif and Haque, Muhammad Reazul and Ag. Ibrahim, Ag. Asri and Chowdhry, B. S. and Rasheed, Waqas and Rodrigues, Joel J. P. C. and Etengu, Richard and Rawat, Danda B. (2022), “Comparative Research Directions of Population Initialization Techniques 3 using PSO Algorithm,” Intelligent Automation & Soft Computing, 32 (3). pp. 1427-1444. ISSN 1079-8587, 2326 005X.
  6. Etengu, S. C. Tan, T. C. Chuah, Y. L. Lee and Jaime Galán-Jiménez, “AI-Assisted Traffic Matrix Prediction Using GA-Enabled Deep Ensemble Learning for Hybrid SDN,” Computer Communications, Volume 203, Pages 298-311, 2023.
  7. Etengu, S. C. Tan, T. C. Chuah, Jaime Galán-Jiménez and Y. L. Lee, “A Machine Learning GA-Based Method for Energy-Aware Routing Optimization in Hybrid SDN/OSPF Backbone Networks Using Adaptive Link Rates,” in IEEE Access, under review.
  • Probabilistic Machine Learning and Reasoning
  • Advances in Bayesian Deep Learning
  • Bayesian Statistical Inference/ Discovery
  • Uncertainty Quantification
  • Bio-Inspired Optimisation Algorithms
  • Federated and Collaborative Learning
  • Reinforcement Learning and Sequential Decision-Making
  • Trustworthy, Robust, Safe, Interpretable and Explainable Artificial Intelligence
  • Cybersecurity Threat Detection and Defenses

Grants won and awarded missing…

  • Etengu, S. C. Tan, F. M. Abbou, C. K. Lee, Z. Yussof and M. Shahbe, “Traffic Scheduling in Hybrid Software Defined Networking: Energy-Aware Load Balancing Perspective” 26th IEEE Conference of Open Innovations Association FRUCT Yaroslavl, Russia, 20-24 April 2020.
  • Etengu, S. C. Tan, T. C. Chuah and J. Galán-Jiménez, “Deep Learning-Assisted Traffic Prediction in Hybrid SDN/OSPF Backbone Networks,” NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, pp. 1-6, 2022.