Currently, my research interests extend from applied mathematics to computational fluid dynamics (CFD) and computational biology, but mainly lie in the field of high fidelity modelling and the analysis of turbulent reacting flows with detailed chemistry (multiscale systems) in the context of direct numerical simulations (DNS), utilizing high order CFD algorithms on massively parallel supercomputers. Emphasis is given on extreme combustion conditions, i.e., high pressures and/or high Reynolds/Karlovitz numbers, which are more closely related to practical applications (e.g., compression/spark ignition engines and gas turbines). My work aims at investigating problems related both to fundamental physics and practical applications, like flame-flow/turbulence interaction, engine pre-ignition/(super) knock, pollutant control, flame/ignition control, flame topology, refinement and calibration of chemical kinetics mechanisms etc. Furthermore, I have been working on the development and validation of simplified and reduced (non-stiff) models of increased accuracy using quasi-steady state and partial equilibrium approximations. In addition, I have been employing the computational singular perturbation (CSP) approach for the dynamics analysis of brain kinetics computational (multiscale) models aiming at investigating pathologic conditions related to the central nervous system (e.g., Alzheimer’s disease), potentially contributing to the development of new drugs.