Gas Hydrates & Phase Behavior
Experimental measurement and thermodynamic modeling of clathrate hydrate dissociation conditions for CO₂-rich and synthetic natural-gas mixtures, including inhibitor and promoter effects.
Empowering innovation in chemical engineering through advanced research, teaching, and real-world problem-solving. With expertise spanning thermodynamics, gas hydrates, process simulation, and AI-driven optimization, I develop solutions that push scientific and industrial boundaries. Dedicated to impactful research, quality education, and knowledge that drives progress.
I am a chemical engineer and academic with a PhD from Universiti Teknologi PETRONAS and over eighteen years spanning university teaching, externally funded research, and industrial process engineering. My work centers on the thermodynamic and phase behavior of fluids and clathrate gas hydrates — particularly for CO₂-rich gas mixtures relevant to carbon capture and natural-gas processing.
As an Assistant Professor at the University of Nizwa, Oman and earlier at NUST, Pakistan, I taught thermodynamics, catalysis, and process simulation while leading research on hydrate equilibria, alkanolamine-based CO₂ capture, and heterogeneous catalysis — published in journals such as the Journal of Natural Gas Science & Engineering and Journal of Chemical & Engineering Data.
Today, as an independent researcher, I focus on AI-driven prediction systems for hydrate equilibria and clean-energy process modeling, alongside STEM education in Virginia — continuing to translate fundamental science into industrially useful tools.
From fundamental phase behavior to deployed machine-learning models, my research targets the capture and processing of CO₂-rich gas systems.
Experimental measurement and thermodynamic modeling of clathrate hydrate dissociation conditions for CO₂-rich and synthetic natural-gas mixtures, including inhibitor and promoter effects.
Hybrid membrane-absorption processes and alkanolamine systems for energy-efficient CO₂ separation from high-CO₂ natural gas, with semi-empirical equilibrium modeling.
Steady-state and dynamic modeling of chemical processes — separations, reactors, and flow systems — using Aspen HYSYS and Aspen Plus for design and optimization.
Machine-learning and multi-layer perceptron neural networks that predict hydrate equilibrium conditions in multicomponent hydrocarbon systems — replacing costly experiments with fast surrogates.
Two decades across industry, doctoral research, and university faculties in Malaysia, Pakistan, and Oman.
Continuing research in CO₂ capture, thermodynamic modeling, and AI-driven prediction systems; preparing manuscripts and collaborative research proposals within the U.S. clean-energy ecosystem.
Delivering engaging STEM instruction across K–12 settings, ensuring instructional continuity and a structured learning environment.
Taught catalysis, process simulation, and thermodynamics; led externally funded research and published in peer-reviewed journals.
Taught process design & simulation, thermodynamics, reservoir engineering, and petroleum refinery.
Doctoral research on the thermodynamic and phase behavior of fluids and clathrate hydrates for CO₂-rich gas mixtures.
Water-treatment plant supervision, shift engineering, and quality assurance.
Thesis: Thermodynamic and Phase Behavior Study of Fluid and Clathrate Hydrate for CO₂-Rich Gas Mixture.
Middlesbrough, Tees Valley.
Quaid-i-Azam Campus, Lahore.
A decade of university instruction across core chemical-engineering subjects, with applied, industry-relevant course materials.
A selection of journal publications on gas hydrates, CO₂ capture, catalysis, and machine-learning prediction. Citation counts reflect Google Scholar.
Open to research collaboration, consulting, and teaching opportunities in clean energy, process modeling, and chemical engineering.