Joseph Owusu Profile
Joseph Owusu is a postgraduate student enrolled in the REALMATHS double master's programme, pursuing an MSc in Mathematical Engineering at the University of L’Aquila, Italy, and an MPhil in Mathematical and Computational Physics (Quantum Science & Technology) at the Kwame Nkrumah University of Science and Technology (KNUST), Ghana. He holds a BSc in Mathematics from KNUST, where he graduated with First Class Honours. His research focuses on the application of quantum computing and machine learning to computational materials modelling, with particular interest in identifying effective materials for water purification.
Research Title
A Variational Quantum Eigensolver-Assisted Machine Learning for Screening Lead(II) Binding in Carboxylated Metal-Organic Frameworks for Water Purification
Research and Technical Expertise
Quantum Computing and Quantum Chemistry: Variational Quantum Eigensolver (VQE) methods and active-space electronic structure calculations for studying molecular interactions.
Computational Materials Modelling: Investigation of lead(II) binding in carboxylated metal-organic frameworks (MOFs) for potential applications in water purification.
Machine Learning: Application of machine-learning models to predict interaction energies and screen candidate material configurations.
Scientific Computing and Data Analysis: Python, R, MATLAB, Mathematica and computational methods for mathematical modelling and scientific research.
Education
MPhil in Mathematical and Computational Physics (Quantum Science & Technology)
Kwame Nkrumah University of Science and Technology (KNUST), Ghana - Ongoing.
MSc in Mathematical Engineering
University of L’Aquila, Italy - Ongoing.
BSc in Mathematics, First Class Honours
Kwame Nkrumah University of Science and Technology (KNUST), Ghana, 2022.
Research Interests
Quantum Science and Technology, computational materials science, machine learning, mathematical modelling and computational approaches to environmental remediation and water purification.