Plesu – Bucarest, Romania – Reviewer of the Ph.D. Diwekar – Vishwamitra Research Institute, USA, “Multiobjective optimization of fuel-cell systems for trucks” Webley, Monash University – Australia, “Numerical solution of stiff ODE systems” Brown, Reisner, Chang – LANL, USA, “Dispersion of heavy and buoyant gases in complex industrial environments” Brighton – HSE, UK, “Pool spreading and evaporation” D.M Webber – HSE, UK, “Pool spreading and evaporation” Hanna – Hanna Consulting, USA, “Pool spreading and evaporation” Fay – MIT, USA, “Pool spreading and evaporation” Identification of possible drifts and deviations from the expected dynamic evolution Online training of anesthetists and performance assessmentĭecision support systems for the optimal monitoring and operation of endovenous anesthesiaĮarly warning systems for Covid-19 and Covid-2X dynamic tracking. Closed loop techniques for automated anesthetic and analgesic administrationĬovid-19 and Covid-2X modeling for decision making in hospitals Model predictive control of endovenous anesthesia. Individualized PBPK and PD models for optimal drugs dosage/administration Physiologically based pharmacokinetics and pharmacodynamics of per-os, endovenous, transdermic drugs (PBPK, PD) Real-time photographic techniques for not intrusive control of process variables and end-point identification Optimal trajectory of process setpoints for on-, in-line control Process monitoring of the assigned recipe
Process Analytical Technologies (PAT) and Quality by design (QbD)ĭesign of batch and continuous equipment in the pharma industry Pharmacokinetic modeling based on compartment models with anatomy/physiology contributes Real-time performance assessment of field and control-room operators
Top events identification and quantification Thermal radiation, thermal load, equipment resistance, gas (buoyant and dense) dispersionĭetonation of solid explosives, blast, overpressure, impulse, radiation, seismic waveĭesign for maximum explosive load of warehouses/depots according to safety thresholds Liquid/Gas emissions, pool spreading, ignition, pool fire, jet fire, flash fire, fireball, On-line optimization and supervision of chemical plantsĭynamic modeling of accidents (industrial, transportation, civil) and event reconstruction Model based control – Model Predictive Control Design of process units and chemical equipmentĬonceptual design of chemical/industrial processesĭynamic conceptual design for economic uncertainties, market fluctuations, demand/offer variabilityįeasibility studies under price/cost uncertainty of OPEX termsĬonventional process control based on feedback loops
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