Department of Computing & Information Technology

Khan, K., “FedGraph-Fair: Federated learning with personalization and fairness via dynamic graphs and distributionally robust optimization,” Information Sciences (Elsevier), vol. 728, Art. no. 122710, Feb. 2026, doi: 10.1016/j.ins.2025.122710.

Koffka Khan, Winston Elibox, Treina Dinoo Ramlochan, Wayne Rajkumar, and Shanta Ramnath, “FABLE: Fairness-Aware Branching Federated Learning under Events and Concept Drift,” Expert Systems with Applications (Elsevier), Art. no. 131238, 2026, doi: 1016/j.eswa.2026.131238.

Khan, K., Elibox, W., & Ramnath, S. (2026). TR-MEPS: Entropic spectral projection for trust-aware robust federated aggregation. Elsevier, Applied Soft Computing. DOI: 10.1016/j.asoc.2026.115211

Khan, K., Goodridge, W. (2026). FLAIR: Federated Learning via Adaptive Influence and Resource Coordination. IEEE Transactions on Multimedia. DOI: 10.1109/TMM.2026.3673560

Khan, K., “FedEmerge: An Entropy-Guided Federated Learning Method for Sensor Networks and Edge Intelligence,” Sensors (MDPI), vol. 25, no. 12, Art. no. 3728, Jun. 2025, doi: 10.3390/s25123728.

Khan, K., “Sign-Entropy Regularization for Personalized Federated Learning,” Entropy (MDPI), vol. 27, no. 6, Art. no. 601, Jun. 2025, doi: 10.3390/e27060601.

Elibox, W., and Khan, K., “Enhancing examination integrity through constructivist and reflective practices: a case study of the science faculty at a commonwealth university,” Quality Assurance in Education (Emerald), vol. 33, no. 4, pp. 554–569, May 2025, doi: 10.1108/QAE-10-2024-0226.

Elibox, W., Khan, K., Khan, A., Smart, S., and Cockburn, B. N., “The INSPIRE framework for transformative and inclusive education: a case study of the science faculty at a Commonwealth university,” Quality Assurance in Education (Emerald), vol. 33, no. 4, pp. 585–602, May 2025, doi: 10.1108/QAE-02-2025-0037.

Khan, K., “Entropy-Regularized Federated Optimization for Non-IID Data,” Algorithms (MDPI), vol. 18, no. 8, Art. no. 455, 2025, doi: 10.3390/a18080455.

Chin, S. R., Ramnath, S. O., Khan, K., and Elibox, W., “Learning resilience: gendered adaptation and community-led water management in a resource-stressed village in a small island developing state,” Journal of Work-Applied Management, vol. 17, no. 3, pp. 1–14, 2025, doi: 10.1108/JWAM-06-2025-0100.

K. Khan, W. Goodridge, and W. Elibox, “A functional RNA–based and curvature-aware learning framework for federated optimization,” Neurocomputing (Elsevier), vol. 652, Art. no. 131045, Nov. 1, 2025, doi: 10.1016/j.neucom.2025.131045.

Khan, K. (2025). Adaptive Federated Learning with Local Large Language Models for Modeling Photonic and Chemical Systems. IEEE Access, doi: 10.1109/ACCESS.2025.3606855.

Khan, K., Khan, K. (2025). DT-QFL: Dual-Timeline Quantum Federated Learning with TimeSymmetric Updates, Temporal Memory Kernels, and Reversed Gradient Dynamics. IEEE Transactions on Quantum Engineering (TQE), doi: 10.1109/TQE.2025.3607689.

K. Khan, W. Elibox, T. D. Ramlochan, W. Rajkumar, and S. Ramnath, “FedEHD: Entropic HighOrder Descent for Robust Federated Multi-Source Environmental Monitoring,” AI (MDPI), vol. 6, no. 11, Art. no. 293, Nov. 2025, doi: 10.3390/ai6110293.

Khan, K., “HIFLA: Hilbert-Inspired Federated Learning via Action Principles,” IEEE Transactions on Emerging Topics in Computing, vol. 13, no. 4, pp. 1536–1552, Oct.–Dec. 2025, doi: 10.1109/TETC.2025.3629528.

Ramsahai, E., Dookeram, N., Ramsook, D., Rameshwar, J., Yearwood, A., Bachoo, A., & Khan, K. (2023). Crime prediction in Trinidad and Tobago using big data analytics. International Journal of Data Science and Analytics.

Khan, K., Ramsahai, E. Maintaining proper health records improves machine learning predictions for novel 2019-nCoV. BMC Medical Informatics and Decision Making, 21, 172 (2021). https://doi.org/10.1186/s12911-021-01537-3 

K. Khan and W. Goodridge, (2020). "Rate oscillation breaks in HTTP on-off distributions: a DASH framework," International Journal of Autonomous and Adaptive Communications Systems, 13 (3), 273-296. https://doi.org/10.1504/IJAACS.2020.110742

Khan, K., Goodridge, W. QoE evaluation of dynamic adaptive streaming over HTTP (DASH) with promising transport layer protocols. CCF Transactions on Networking, 3 (3-4), 245–260 (2020). https://doi.org/10.1007/s42045-020-00047-6 

Khan, K. and Goodridge, W., “S-MDP: Streaming with Markov Decision Processes.” IEEE Transactions on Multimedia, Vol. 21, No. 8, pp. 2012-2025, Aug 2019. DOI: 10.1109/TMM.2019.2892304

Khan, K. and Goodridge, W., 2019. “B-DASH: Broadcast-based Dynamic Adaptive Streaming over HTTP.” International Journal of Autonomous and Adaptive Communications Systems, 12 (1): 50-74.

Khan, K., Ali, Z., Philip, N., Deane, G., & Sahai, A. (2013). An intelligent water-droplet evaluation of health-oriented distance learning. Journal of Advances in Information Technology, 4(2), 88–94.

Khan, K. & Sahai, A. (2012). A fuzzy c-means bi-sonar-based metaheuristic optimisation algorithm. International Journal of Interactive Multimedia and Artificial Intelligence, 1(7), 26–32.