About my academic career
B.Sc in Chemical Engineering @ Boğaziçi University, Turkey
Bachelor thesis: Biomass Production and Processing Using Machine Learning Tools
M.Sc in Chemical and Biological Engineering @ Koç University, Turkey
Master thesis: Physics-Informed Machine Learning-Based Modeling and Control of Dynamic Process Systems
PhD candidate @ Technical University Denmark
PhD thesis: Scale-up, design and cost estimation of technologies under development
Physics-Informed Recurrent Neural Networks and Hyper-parameter Optimization for Dynamic Process Systems.
Asrav, T., Aydin, E. (2023) Computers and Chemical Engineering.
Physics-informed Neural Network based Modeling of an Industrial Wastewater Treatment Unit.
Asrav, T., Koksal, E. S., Esenboga, E. E., Cosgun, A., Kusoglu, G., Aydin, E. (2023) Computer Aided Process Engineering.
About my thesis -
Scale-up, design and cost estimation of technologies under development
The aim of this research is modelling and evaluating the new integrated electrochemical synthesis technologies in early-stage design using a generic methodology. For this purpose, a highly scalable, innovative simulation-based optimization framework will be developed for rapid evaluation of techno-economic analysis. A superstructure will be introduced to the framework including the library of models and database of CAPEX&OPEX. For decision-making and optimizing under uncertainty for the scaled-up models, uncertainty and sensitivity analysis will be made using Monte Carlo simulations. The potential of each electrosynthesis routes will be monitored considering the target economic metrics, specific upscaling and parallelising potential. The work will be applied on novel electrosynthesis processes in pharmaceutical/fine chemicals production. Thus, the promising potentials in the industrial applications will be identified and the business opportunities will be defined accordingly. |