About Me
I am currently a Research Fellow at the Department of Civil and Environmental Engineering, Bobby B. Lyle School of Engineering, Southern Methodist University, Texas, working on the Innovation Engine Project funded by the National Science Foundation (NSF).
I hold a Ph.D. in Electrical Engineering (Data Science Focus) from Lancaster University, UK, where my research focused on data-driven modeling and control in smart grids.
I also earned my Master’s degree in Electrical Engineering (Power Systems) from COMSATS University Islamabad, Pakistan.
Previously, I worked as a Research Fellow at Edge Hill University and Lancaster University, UK, and as an Assistant Professor at COMSATS University Islamabad. I have contributed to multiple high-impact funded projects from NSF (USA), the British Council (UK), and the EU, delivering AI-driven solutions in smart grids, wireless networks, and cyber-physical systems.
Research Interests
- Artificial Intelligence & Machine Learning
- Smart Grids and Renewable Energy Integration
- Electricity Theft Detection and Grid Security
- Big Data Analytics & Forecasting
- Optimization for Power and Communication Systems
My work has led to 15+ peer-reviewed publications in top-tier IEEE and Elsevier journals, with over 10,000+ downloads on IEEE Xplore. I have designed stacked ensemble learning models, synthetic data generation techniques, and novel boosting algorithms that improved prediction accuracy by up to 23%.
I am particularly interested in bridging the gap between AI theory and real-world applications, enabling resilient, sustainable, and secure infrastructure systems.
Prospective Collaborations
I am always open to research collaborations, particularly in interdisciplinary projects involving AI, power systems, and critical infrastructure. If you are interested in working with me, please make your email subject line "Collaboration with Dr. Inam Ullah" and include your CV and a concise research proposal.
Selected Publications
You can find my full list of publications on
Some recent works:
- Data-Driven Insights: Boosting Algorithms to Uncover Electricity Theft Patterns in AMI, IEEE Transactions on Instrumentation and Measurement, 2025.
- A Novel Stacked Ensemble Framework with the Kolmogorov-Arnold Network for Short-Term Electric Load Forecasting, Elsevier Energy, 2025.
Awards & Achievements
- UK Global Talent Visa – Recognized for exceptional contributions to Electrical & Computer Engineering.
- Best PhD Scholar, School of Engineering, Lancaster University.
- Contributor to multi-million-dollar research projects funded by NSF (USA), EPSRC (UK), and the EU.
About Me Beyond Research
Based in Dallas, Texas, I enjoy exploring the intersection of technology, sustainability, and policy. Outside of work, I’m an advocate for STEM education and actively mentor early-career researchers.
Left: Smart grid simulations. Middle: Machine learning model visualizations. Right: Renewable energy integration.