Publications

You can also find my articles on my Google Scholar profile and on my ORCID. The PDF files linked on this page are shared in accordance with the copyright policies of the journals and conferences and may differ from the official published versions.


2025

I. Ullah, A. Ali, C. Taylor, and X. Ma, “Data-Driven Insights: Boosting Algorithms to Uncover Electricity Theft Patterns in AMI,” IEEE Transactions on Instrumentation and Measurement, 2025.

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I. Ullah, K. Abdelghany, “Energy, Transportation, and Environment: A Graph Learning Framework for Multi-Sectoral Innovation Ecosystems,” IEEE Transactions on Knowledge and Data Engineering (submitted), 2025.

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I. Ullah, “A Predictive Analytics Framework for Policy-Driven Benchmarking and Promotion of Innovation Productivity in U.S. Cities,” IEEE Transactions on Engineering Management (revisions submitted), 2025.

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I. Ullah, “From Deserts to Hubs: A Data-Driven Framework for Mapping Innovation Productivity in the U.S.,” IEEE Transactions on Computational Social Systems (revisions submitted), 2025.

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M. Abbas, Y. Che, and I. Ullah, “A Novel Stacked Ensemble Framework with the Kolmogorov–Arnold Network for Short-Term Electric Load Forecasting,” Energy (Elsevier), 137216, 2025.

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A. Ullah, I. Ullah, and M. Z. Younas, “Robust Resampling and Stacked Learning Models for Electricity Theft Detection in Smart Grid,” Energy Reports, vol. 13, pp. 770–779, 2025.

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X. Li, W. Lv, I. Ullah, B. Xie, and R. Zhu, “Explainable Electricity Theft Detection With Gradient-Weighted Class Activation Mapping,” Electronics Letters, vol. 61, no. 1, pp. 1–5, 2025.

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M. Waqas, I. Ullah, and G. Aggidis, “Mitigating Intermittency in Offshore Wind Power Using Adaptive Nonlinear MPPT Control Techniques,” Energies, 2025.

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2022

IU Khan, N Javaid, CJ Taylor, X Ma, “Robust data driven analysis for electricity theft attack-resilient power grid,” IEEE Transactions on Power Systems, 2022.

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IU Khan, N Javeid, CJ Taylor, KAA Gamage, X Ma, “A Stacked Machine and Deep Learning-Based Approach for Analysing Electricity Theft in Smart Grids,” IEEE Transactions on Smart Grid, 2022.

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IU Khan, “Optimal Demand Supply Energy Management in Smart Grid,” PhD Thesis (University), 2022.

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2021

IU Khan, N Javaid, CJ Taylor, KAA Gamage, X Ma, “Big Data Analytics for Electricity Theft Detection in Smart Grids,” IEEE PES PowerTech, 2021.

2020

IU Khan, N Javaid, CJ Taylor, KAA Gamage, MA Xiandong, “Optimal Power Flow Solution with Uncertain RES using Augmented Grey Wolf Optimzation,” IEEE PES Powercon, 2021.

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IU Khan, N Javaid, CJ Taylor, KAA Gamage, X Ma, “Big Data Analytics based Short Term Load Forecasting Model for Residential Buildings in Smart Grids,” IEEE INFOCOM, 2020.

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IU Khan, N Javaid, KAA Gamage, CJ Taylor, S Baig, X Ma, “Heuristic algorithm based optimal power flow model incorporating stochastic renewable energy sources,” IEEE Access, 2020.

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2019

M Usman, ZA Khan, IU Khan, S Javaid, N Javaid, “Data analytics for short term price and load forecasting in smart grids using enhanced recurrent neural network,” Sixth HCT Information Technology Trends (ITT), 2019.

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M Abdullah, N Javaid, IU Khan, ZA Khan, A Chand, N Ahmad, “Optimal power flow with uncertain renewable energy sources using flower pollination algorithm,” International conference on advanced information networking and applications, 2019.

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2018

IU Khan, X Ma, CJ Taylor, N Javaid, KAA Gamage, “Heuristic algorithm based dynamic scheduling model of home appliances in smart grid,” 24th International conference on automation and computing (ICAC), 2019.

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2014

M Musharraf, IU Khan, N Khan, “Design of an Oscillating Coil Pendulum Energy Generating System,” Procedia Computer Science, 2019.

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