Somministrazione orale, endovenosa, transdermica PAT – Process Analytical Technologies per il settore farmaceutico, chimica fine ed alimentareįarmacocinetica e farmacodinamica. Ottimizzazione della progettazione e dello scheduling di processi discontinui Tecniche convenzionali ed Algoritmi geneticiĭiagnostica termografica di cavità radiantiĪttivazione meccanochimica di principi primi ad alta energia Ottimizzazione e Supervisione di processi chimici. Modellazione dettagliata di processi chimiciĭinamica dei processi e Controllo basato su modello. Simulazione ed identificazione di processo. Progettazione di operazioni unitarie e di impianti Pre-Emergencies: an EC DG Environment cofinanced project Virthualis: VIrtual RealiTy and HUman Factors AppLications for Improving Safety Kjell Ivar Øvergård – Buskerud and Vestfold University College, Norway – Human Factors in the maritime sector Annette Kluge – Duisburg University, Germany – Human factors in industrial operators training Fengqi You – Northwestern University, USA – Supply chain management IL Moon – Yonsei University, Korea – Price forecast of commodities and utilities Mujtaba – Bradford University, UK – Research activity on Water Desalination Systems Aguilar-López – Special issue of Chemical Product and Process Engineering “Process modeling and Control”, Departamento de Biotecnología y Bioingeniería, CINVESTAV-IPN – Mexico thesis of Petrica Iancu “Process integration for water minimization in oil processing and petrochemistry” 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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