Prof Osman Beg

Post Nominals	BEng (Hons) PhD PGCAP FHEA CEng FIMechE CMath FIMA SMAIAA MIAFireSS MERPS (Washington USA) MINMS (Japan) MRAeS
Biography	I am the Director of the Multi-Physical Engineering Sciences Research Group (Corrosion Lab). Our group has other members - Dr Ali Kadir (Reader in high temperature corrosion and coating engineering- FEA, structures, smart materials), Dr Henry Leonard (thermodynamics and renewable energy), Dr Walid Jouri (materials, composites and impact), Dr Martin Burby (fluid mechanics, fuel cells, CFD), Dr. Sireetorn Kuharat (fluid-structure interaction, nanofluids, FEA, multi-physics, MHD) and Dr G.A. Sengodan (composites, FEA). Our work spans simulation in biomedical, renewable energy, manufacturing, propulsion, marine and environmental applications. I have been UK editor for the Journal of Mechanics in Medicine and Biology (Singapore/USA) since 2010 and have coordinated many contributions in the areas of biological heat and mass transfer. I have co-edited a special volume, Modelling and Simulation in Engineering Sciences (2016) which attracted dozens of international contributions. I have also published 10 invited book chapters on state-of-the-art techniques including computational bio-nano-fluid dynamics (Computational Approaches in Biomedical Nano-Engineering, Wiley, USA, 2019) and multi-physical electro-magnetic propulsion fluid dynamics (Mathematical Modelling: Methods, Applications & Research, Nova Science, New York, 2018). Thus far I have published 650 journal papers in many leading journals including Physics of Fluids (USA), ZAMP (Germany), ZAMM (Switzerland), Int. J. Hydrogen Energy (USA), Materials Science and Engineering B (USA), Tribology International (France), IMECEH J. Process Mechanical Engineering (UK), IMECHE J Engineering in Medicine (UK) and ASME J. Biomechanical Engineering (USA). Since joining Salford in March 2016, I have produced over 330 journal papers. My google scholar h-index is 66 with 19,000 citations. Recently I achieved the distinction of being the 18th highest ranked research scientist in mechanical and aerospace engineering in the UK (Research.com). I have been ranked number one in engineering at Salford for research outputs for seven consecutive years (2016-2023). I have won several awards in recent years for my research including a Vice Chancellor Research Excellence Award (2018) at Salford University and first Prize for computational nano-pharmacodynamics at the “Materials of the Future: Smart Applications in Science and Engineering E-Conference”, Qatar University, March (2021). I have supervised 40 MSc dissertations and 3 PhD students at Salford in CFD simulation of solar nanofluid collectors, high temperature gas turbine blade corrosion protection with micro/nano-coatings and theoretical stress analysis of engineering components. My research has in multi-physical modelling includes electro-kinetic nanofluid dynamics, biomagnetic fluid dynamics, carbon nanotubes, machine learning in speech recognition, diabetic retinopathy and hydrocephalus transport. I am a chartered mechanical engineer and FIMECHE. I am also a Chartered Mathematician and FIMA. My most recent research has developed new approaches for geothermal hydrodynamic stability with explosive reactions, Taylor dispersion in electro-bio-microfluidics, swirling ferromagnetic fluid coatings, robotic swimming in oceans and rivers, Stokesian dynamics in droplet simulations, pulsatile flows in cardiac bifurcations, interfacial duct two-phase magnetohydrodynamics, radiative turbulence in nuclear reactor ducts, dielectric hydrogen rotating Hall and Faraday MHD generators, Joule heating in plasmas, artificial neural networks in magnetic coatings, tornado and tsunami dynamics, landing gear impact and tri-propellant rocket combustion. Our MPESG group uses ANSYS and many other computational tools.
Research Interests	Computational fluid mechanics, electromagnetic materials and propulsion, smart coatings, bio-inspired propulsion, solar nano-collectors, hemodynamics, rocket aero-thermodynamics, hydrogen/magnetic fuel cells, micropolar flows, biomedical imaging, supercritical flows, helicopter and jet engine aero-acoustics, functional graded materials, thermal corrosion, turbulence, covid-19 hydrodynamics, nano-solid mechanics, fractals, multi-physics, thermodynamic optimization, nano-pharmacodynamics, soft robotic fluid dynamics, Lattice Boltzmann methods, functional graded materials, synovial and cochlear hydrodynamics, ionic biopolymers, machine learning, interfacial rheology, ANNs in thermophysics, Stokesian dynamics, Hall and Faraday MHD generators, smart bio-tribology.
Teaching and Learning	Level 5 - Fluid Mechanics (mechanical engineering) Level 5 - Engineering Mathematics 2 (probability and statistics) Level 6 - Fluid Mechanics (mechanical engineering) Level 6 – Manufacturing (mechanical engineering) Level 6 - Group Design (finite element analysis) Level 7 – Engineering Computation (CFD) (Module leader)