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The primary scope of the research is process innovation and design in chemical and processing industries. Process design is by nature interdisciplinary and requires use and synthesis of wider spectrum of chemical engineering knowledge (material/energy balances, separations, reaction kinetics, reactor design, etc) and data sources (laboratory/pilot or full scale), process synthesis and process simulators (modeling, simulation, databases, information technology),  applied mathematics (process and property models, simulation, optimization,) and applied statistics (uncertainty and sensitivity analysis, parameter estimation, quantitaitve risk analysis), environmental and process safety analysis.

The generic process design tools are then developed and applied to various industrial applications to identify novel and cost-competitive process solutions to wastewater treatment, biorefinery, biotechnology and pharmaceuticals industries.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action
  • SDG 14 - Life Below Water
  • SDG 15 - Life on Land

Education/Academic qualification

PhD , Ghent University Belgium

20002004

MSc, Middle East Technical University (METU), Turkey

19982000

BSc, Middle East Technical University (METU), Turkey

19941998

External positions

Assistant professor, Technical University of Denmark (DTU)

20082010

Keywords

  • User defined:
  • Monte Carlo Simulations
  • Global Sensitivity Analysis
  • Life science industries: water, biotechnology and biopharmaceuticals
  • Machine learning/AI
  • Process design and control
  • Process modeling & simulation
  • Process systems engineering (PSE)
  • Optimization under uncertainty

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