Fathya Salih

I study the behavior of ionic liquids under electric fields in order to design specialized solvents and separation techniques for recovering critical materials like rare earth elements. These explorations will be expedited using machine learning structure-property models trained with novel low cost techniques.

BSc in Chemical Engineering, National University of Science and Technology, Oman

MSc in Chemical Engineering, Texas A&M University at Qatar

Faraj Al-Badani

My research focuses on nanoengineering of phyllosilicates as novel gas sensing material for electronic nose applications. The purpose of the multidisciplinary research is to leverage advances in material science, electrochemistry, and computational techniques to employ a smart gas sensing device to classify and quantify target analytes.

BSc in Chemical Engineering, University of California, Riverside

Vivian Okorie

My research focuses on artificial Intelligence and molecular modeling of materials for the biodetection of biomarkers for diagnosis and material screening for  electronic sensors

BSc in Chemical and Petroleum Engineering, University of Lagos, Nigeria

Ashiat Bakare

My research focuses on modeling single and multicomponent adsorption in nanoporous materials, primarily Metal Organic Frameworks (MOFs), using molecular dynamics and machine learning techniques. The goal is to develop innovative machine learning techniques based on Gaussian process regression to efficiently predict adsorption across various thermodynamic feature space and MOF space.

BSc in Petroleum and Gas Engineering, University of Lagos, Nigeria

Okolo (Precious) Chidera

My research focuses on using molecular simulations and machine learning to understand the solubility of refrigerants in deep eutectic solvents. This work aims to develop efficient separation techniques that contribute to sustainable refrigerant recovery and recycling. By uncovering key molecular interactions, I aim to explore deep eutectic solvents in depth, as they offer enhanced selectivity and performance, making them promising candidates for environmentally friendly refrigerant separation. My broader interests lie in the intersection of sustainable separation processes, and climate-conscious engineering solutions.

BSc in Oil and Gas Engineering, Kazan National Research Technological University, Russia

Yan Saltar

My current project consists of the design of novel porous materials such as metal organic frameworks (MOFs) and soft porous coordination polymers (SPCPs) for use in water pollutant removal.

BSc in Chemical Engineering, University of Puerto Rico, Mayagüez

Paul Amagada

My research focuses on the application of molecular simulation and machine learning to develop deep eutectic solvent (DES) electrolytes for flow battery applications. I am working on the development of active learning methods for activity coefficient prediction and solid-liquid equilibrium (SLE) phase diagram construction of DES systems. This approach minimizes experimental workload, accelerates the discovery of high-performance DES-based electrolytes, and contributes to next-generation energy storage solutions.

BSc in Oil and Gas Engineering, Kazan National Research Technological University, Russia

Fadeshola Shodipe-Dosunmu

I am working on the development of machine learning potentials for simulating deep eutectic liquids and energetic materials.

BSc in Petroleum and Gas Engineering, University of Lagos, Nigeria