Prof. Yiannis Ventikos — LinkedIn
Prof. Ventikos’ research focuses on transport phenomena and fluid mechanics, as they are applied to biomedical engineering problems, energy, innovative industrial processes and biocomplexity. Areas of research include arterial haemodynamics and tissue remodelling (with an emphasis on vascular diseases, like aneurysms), cerebrospinal fluid dynamics, shock-induced bubble collapse, droplet generation and deposition, targeted drug delivery, swirling flows, chaos, mixing and dynamical systems, organogenesis and tissue engineering, micro- and nano-technologies. Computational modelling is at the centre of his research, which spans the spectrum from fundamental to applied. Yiannis Ventikos is the Kennedy Professor of Mechanical Engineering and the Head of the Mechanical Engineering Department at University College London. He has worked or studied in Greece, France, the USA and Switzerland. Prof. Ventikos has established the Fluidics and Biocomplexity Group that currently involves more than twenty researchers, mostly at the doctoral and postdoctoral level. He has published about 100 papers in peer-reviewed scientific journals, has contributed chapters in 5 books, has presented more than 200 papers in international conferences and workshops and has filed six international patents to date. He is the senior academic founder of a spin-out company and consults internationally in topics of his expertise. He has served as a reviewer for more than 50 academic journals as well as for textbook and monograph publishers. He is on the editorial board of four journals, and on the scientific and/or organising committee of numerous international conferences and workshops.
Dr. John Vardakis — LinkedIn
John is a Research Associate in Integrative Cerebral Dynamics. His main focus is developing a computational framework that will aid in the understanding of cerebral diseases arising from Dementia (such as Alzheimer’s Disease, Vascular Dementia and Normal Pressure Hydrocephalus). He works within the VPH-DARE@IT project, which aims to deliver the first patient-specific predictive models for early differential diagnosis of dementias and their evolution.
The foundations of the mathematical modelling that he works on lies in Multiple-Network Poroelastic Theory, adapted to patient specific cases and simulated through a combination of Computational Fluid Dynamics and the Finite Element Method. He is working with Dr. Liwei Guo (UCL) and Dr. Dean Chou (University of Oxford) to develop a modelling platform that can handle, in an anatomically accurate and patient specific manner, the transport and interplay of blood and cerebrospinal fluid with the neuronal and astrocytic tissue that constitutes the functioning brain.
Previous: DPhil in Integrative Cerebral Dynamics, University of Oxford, 2010–2014; Centre for Doctoral Training in Healthcare Innovation, University of Oxford, 2009–2010; BEng in Mechanical Engineering, King’s College London, 2005–2008
Dr. Katerina Spranger — LinkedIn
Katerina Spranger is a post-doctoral researcher in Biomedical Engineering at the University College London. She is working on predictive computations for medicine, in particular, on patient-specific simulations of surgical interventions.
Previous: Doctorate in Biomedical Engineering, University of Oxford, 2014; MSc in Computer Science, Humboldt University of Berlin, 2009
Dr. Liwei Guo — LinkedIn
Dr. Guo works in the VPH-DARE@IT project and the main work is to develop a three-dimensional finite element computational platform of multicompartmental poroelasticity model to simulate fluid transport phenomena in the brain, and apply this model to better understand dementia. Prior to joining the FBG group at UCL, Dr. Guo had worked on developing fracture model for three-dimensional fracture and fragmentation simulations based on the finite element method and the discrete element method, and plasticity model and absorbing boundary condition for modelling dynamic problems in truncated solid models.
Previous: PhD in Computational Physics, Imperial College London, 2010 — 2014; MSc in Engineering Mechanics, Chinese Academy of Sciences, 2007 — 2010; BSc in Civil Engineering, China Agricultural University, 2003 — 2007
Dr. Tom Peach — LinkedIn
Tom is a post-doctoral researcher working in the field of modelling cerebral blood flow. His work focuses in particular on the design of novel minimally invasive devices and the patient-specific treatment of cerebral aneurysms. He is currently collaborating with the Minimally Invasive New Technologies Group (Weill Cornell Medical College) and the Oxford Neurovascular and Neuroradiology Research Unit (University of Oxford).
His other research interests include folding and self-deploying structures, flow stability, and both in-vitro and animal models.
Previous: DPhil in Biomedical Engineering, University of Oxford, 2011–2015; MEng and MA, University of Cambridge, 2006–2010
Daniel Baeriswyl — Phd Student — LinkedIn
Daniel studies how shear stress triggers the activation and nuclear translocation of NF-κB in vascular endothelial cells. NF-κB is a key promoter of inflammatory responses and plays a pivotal role in cell growth, survival and apoptosis. Hence a relationship between NF-κB and shear stress would contribute to a better understanding of cardiovascular diseases. We investigate the effect of temporal and spatial shear stress gradients on the activation of NF-κB with in-vitro experiments in collaboration with Prof. Rob Krams from Imperial College London and create a numerical model to predict inflammatory responses in complex vessel geometries.
Previous: Visiting Researcher, Department of Aeronautics, California Institute of Technology, US, 2011; MSc in Mechanical Engineering, ETH Zurich, Switzerland, 2010 — 2012; BSc in Mechanical Engineering, ETH Zurich, Switzerland, 2005 — 2009
Anjana Kothandaraman — PhD Student — LinkedIn
Experimental and Computational Analysis of Bubble Generation Combining Microfluidics and Electrohydrodynamics: This project involves combining Microfluidics and Electrohydrodynamics to prepare monodisperse microbubbles for diagnostic applications. Solely using microfluidic devices to manipulate microbubble size experiences limitations especially with very viscous solutions, hence capitalising on the well understood concept of bubble resonance, various types of electric fields are investigated to facilitate bubble break-up. A computational model will be created to simulate the entire experimental set-up and enable better understanding of fluid mechanics of the flow and the electrohydrodynamic interactions
Previous: MSc in Bioengineering and Biomedical Engineering, Brunel University, 2012–2013; BEng in Computer Engineering, Brunel University, 2009 — 2012
Xiang Pan — PhD Student
Preparation of microbubble: Numerical and experimental study of a novel microfluidic K-junction: The project aims to analyse the effect of boundary conditions such as liquid/gas flow rate, gas inlet pressure and physical properties of liquid and gas especially density, surface tension and viscosity, on the mixture and generation process of monodisperse microbubbles in a circular cross section novel microfluidic K-junction device via numerical simulation and experiment. It is also focused on the theory of the bubble’s break off mechanism with multiphase fluid inside of the K-junction via numerical simulation thus improvement and correlations in the experiment will be developed based on the simulation results.
Previous: BEng in Mechanical Engineering, University of Hertfordshire, 2011–2013; BEng in Mechanical Design, Manufacturing and Automation, Henan University of Science and Technology, 2009–2011
Babatunde Aramide — PhD Student — LinkedIn
heoretical Framework and Computation Fluid Dynamics Modelling of the Electrospinning Process for Fibre Formation: The research focus primarily on understanding the underlying physics in the Electrospinning Process and Modelling the process Computationally, hereby providing a platform to understand interaction of the parameters for the fibre formation. Also, it is aimed at studying role of the polymer solution’s rheology in the nanofibre formation. The applicability of the model for Axial electrospinning and Cell electrospinning will also be explored. This work is Co-Supervised by Dr Suwan Jayasinghe of UCL.
Previous: Msc. Mechanical Engineering, University College London, UK, 2013–2014; BTech. Mechanical Engineering, Ladoke Akintola University of Technology, Nigeria, 2005–2010
Hannah Safi — PhD Student
Blood Flow and the Development of Aneurysms: Novel Investigative Methods: The complex interaction between a deformable body and a surrounding fluid such as in the case of a deforming atrial wall and blood flow is referred to as fluid structure interaction (FSI). Experimental studies involving aneurysms have typically only employed fluid flow measurements with rigid models. This PhD will present a novel technique where simultaneous fluid flow and atrial wall deformation measurements will be carried out using the methods of Particle Image Velocimetry and Digital Image Correlation respectively. This work is therefore presenting a novel combined measurement technique that has the potential to yield insight into the understanding of the pathophysiology of aneurysmal initiation, growth and eventual rupture.
Previous: BSc in Applied Physics, University of Portsmouth, 2011–2014
Xizhuo Jiang — PhD Student — Research Gate
Effect of glycocalyx on membrane channels in kidney: Molecular Dynamics Simulations: This research focuses on the effect of glycocalyx on the permeability of water and solutes during transmembrane transports. Molecular Dynamics (MD) simulations will be conducted to compare the permeability of key membrane channels with normal and abnormal glycocalyx under the condition of fluid shear stress, thereby explaining for the dysfunction of kidney. The work is expected to shed light on the causes of some kidney failure and renal diseases. This research is also supervised by Prof. K. H. Luo of Mechanical Engineering, UCL.
Previous: Researcher in Center for Combustion and Energy, Tsinghua University, China, 2014–2015; MSc in Thermal Engineering, Tsinghua University, China, 2012–2014; BEng in Thermal Engineering, Tsinghua University, China, 2006–2010
Nikolaos Bempedelis — PhD Student
Simulations of shockwave-bubbles interactions: The project aims to investigate computationally the interactions of shock waves with multiple gas-filled bubbles in a liquid medium. A front-tracking approach is to be employed, which allows for an explicit tracking and accurate representation of the gas-liquid interface. The (three-dimensional) simulations will be carried out using a freely-distributed and well-validated code, developed at Stony Brook University. A “library” of results will be constructed and an attempt to form empirical laws that describe the collapse process and the interaction between the gas bubbles will be carried out.
Previous: Research Assistant, DMAE, ONERA Toulouse, France, 2016; MSc in Aerospace Mechanics and Avionics, ISAE-SUPAERO, France, 2014–2016; Research Assistant, Laboratory of Aerodynamics, NTUA, Greece, 2014; Diploma in Mechanical Engineering, NTUA, Greece 2008–2013