Faiz M. Mahdi

WORK HISTORY

EDUCATION

SKILLS

ABOUT FAIZ M. MAHDI

Innovative and results-driven Chemical Engineer with over 20 years of academic and research experience across leading institutions in the UK and Libya. Specialized in process simulation, porous media permeability, particle technology, and advanced separation systems, with expertise in cutting-edge technologies such as machine learning (ANNs), and data analytics. Proven ability to lead multidisciplinary research projects, foster industrial collaborations, and deliver high-impact publications in top-tier journals. Recognized for leadership, project management, and an innovative approach to bridging academic research and industrial applications. Dedicated to delivering engaging and research-led professional development, mentoring across all levels, and contributing growth through research innovation and leadership• Project Management and leadership: Proven experience in leading R&D projects, managing budgets, and collaborating with industry leaders (e.g, Infineum, Johnson Matthey) and grant acquisition.• Process Engineering: Proficient in fluid flow systems (gas/liquid/solid), separation processes, particle technology (milling, granulation, crystallization), gas dissolution and surface tension analysis, driving process efficiency and innovation.• Research & Development: Demonstrated success in securing funding, delivering innovative solutions, and publishing impactful research that bridges industrial application and academic inquiry. • Advanced Laboratory Techniques and Technical Expertise: Proficient in particle characterization using advanced methods such as laser diffraction, SEM, X-ray diffraction, and 3D tomography. Experienced in the design (DoE), development, and optimization of experiment/equipment for fluid transfer, particle processing, and separation systems, with a focus on enhancing process efficiency and performance• Data Analysis, Reporting, and Modelling: Expertise in advanced statistical modelling, multivariate regression, and artificial neural networks/AI for data-driven decision-making. Proficient in simulation and computational tools, including COMSOL Multiphysics, MATLAB, and SolidWorks, for process optimization and predictive analytics.• Leading/management and directing R&D: Ability to lead and direct research teams, manage cross-disciplinary projects, and drive innovation strategies that align with both industrial needs and academic goals.