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P. (Paraskevi) Karka, PhD

Assistant Professor in Sustainable Process Design

Research interests

Dr. Paraskevi Karka is a tenure-track Assistant Professor in Sustainable Process Design at the Faculty of Science and Engineering at the University of Groningen. Her research focuses on modelling, process design, and sustainability assessment of chemical processes, including life cycle assessment (LCA), techno-economic analysis (TEA), technology assessment and scale-up aspects. She also works on the development of models to support decision-making in the early stages of process design using machine learning.

Her research is applied to biorefineries, biofuel production processes, circular economy and industrial symbiosis systems. She has authored several papers in scientific journals, including the International Journal of Life Cycle Assessment, Energy Strategy Reviews, and Chemical Engineering Science, among others. She has also participated in numerous conferences in Europe and the United States, including the American Institute of Chemical Engineers (AIChE) Annual Meeting and the European Symposium on Computer Aided Process Engineering.

Dr. Karka has participated in several EU and national research projects at the National Technical University of Athens, Chalmers University of Technology, and the University of Groningen.

Publications

Carbon footprint of coffee production: the case study of Indian Robusta coffee

Hydrothermal liquefaction integrated with wastewater treatment plants - life cycle assessment and technoeconomic analysis of process system options

Digitizing sustainable process development: From ex-post to ex-ante LCA using machine-learning to evaluate bio-based process technologies ahead of detailed design

Advanced biofuels to decarbonise European transport by 2030: Markets, challenges, and policies that impact their successful market uptake

Perspectives for Greening European Fossil-Fuel Infrastructures Through Use of Biomass: The Case of Liquid Biofuels Based on Lignocellulosic Resources

Production costs of advanced biofuels using a multi-component learning curve model

Environmental impact assessment of biomass process chains at early design stages using decision trees

Predictive LCA - a systems approach to integrate LCA decisions ahead of design

Short-cut statistical models for environmental impact assessment of bio-based processes at early design stages

Cradle-to-gate assessment of environmental impacts for a broad set of biomass-to-product process chains