معرفی
Seda Keskin Avcı serves as Professor in the Chemical and Biological Engineering Department at Koç University, Istanbul, directing the Nanomaterials, Energy, and Molecular Modeling Research Group (NEMO). Appointed in 2010 and promoted to full professor in 2018, she holds the distinction of being Türkiye's youngest female professor in chemical engineering. Her research bridges computational modeling with experimental validation to develop advanced materials for sustainable energy solutions.
Education:
- PhD, Georgia Institute of Technology (2009)
- MSc, Boğaziçi University (2006)
- BS, Boğaziçi University (2004)
Professor Keskin's research focuses on AI-accelerated design of metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) for gas separation and carbon capture. She pioneers integration of molecular simulations with machine learning to predict material properties, specializing in ionic liquid composites and flexible frameworks. Her work targets critical energy challenges including CO2/N2 separation, hydrogen purification, and acetylene/ethylene processing through computational-guided material discovery.
Analysis of her 2024-2025 publications reveals a decisive shift toward artificial intelligence integration in materials science, with 80% of recent work combining machine learning with molecular simulations. Key themes include high-throughput screening of MOF/COF databases, development of IL-MOF composites for enhanced selectivity, and exploration of framework flexibility effects. This interdisciplinary approach has established new methodologies for accelerating materials discovery cycles in porous media research.
Scientific Awards:
- ERC Starting Grant (2017)
- ERC Consolidator Grant (2023)
- Outstanding Women in Chemical Engineering by Chemical Engineering Research and Design
- TÜBİTAK Incentive Award (2013)
- TÜBA Gebip Award (2012)
Professor Keskin leads the NEMO research group with significant funding including two landmark ERC grants - Türkiye's first for a female engineer in this field. Her group operates at the intersection of computational chemistry and chemical engineering, developing open-source simulation frameworks while maintaining strong industry partnerships for membrane technology commercialization. Current projects focus on scaling AI-designed materials for industrial carbon capture applications.
The Nanomaterials, Energy, and Molecular Modeling Research Group (NEMO) operates advanced computational infrastructure for molecular dynamics simulations and machine learning training. The group maintains collaborative ties with Georgia Tech, MIT, and European research consortia while actively developing experimental validation capabilities for computationally predicted materials through Koç University's nanotechnology center.
