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Ahmet Cecen
Skype: +16787015869 (ahmetcecen)

Ahmet Cecen is currently pursuing a PhD in Computational Science and Engineering at Georgia Institute of Technology. He earned a bachelor?s degree in Mechanical Engineering at Drexel University. Ahmet has been doing research in the fields of computational materials science and materials informatics for the past 6 years, throughout his undergraduate and graduate studies. His current research focus is on leveraging statistical analysis and machine learning tools to solve big data analytics problems in materials science.

Research Interests

  • Materials Informatics
  • Computational Materials Science
  • Machine Learning
  • Big Data Analytics
  • Workflow Automation

Research Skills

Work Environment

Mainly MATLAB, R and MAPLE

Areas of Experience

Spatial Correlations , Machine Learning, Image/Signal Processing, Matrix Linear Algebra, Modelling and Simulation, Parallelization/Sequentialization, Graph Analysis, Web Development & Automation

Current Projects

  • Spatial Correlations of Curvature and Velocity in Al-Cu Solidification Interface
  • Data Science Enabled Fusion of Microstructure Images with Strain Fields Measured by DIC
  • MATIN: An e-Collaboration Platform for Materials Research

Recent Publications

  • Akash Gupta, Ahmet Cecen, Sharad Goyal, Amarendra K. Singh, Surya R. Kalidindi, Structure?property linkages using a data science approach: Application to a non-metallic inclusion/steel composite system, Acta Materialia, Volume 91, 1 June 2015
  • Ankit Agrawal, Parijat D Deshpande, Ahmet Cecen, Gautham P Basavarsu, Alok N Choudhary, Surya R Kalidindi, Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters, Integrating Materials and Manufacturing Innovation, Volume 3, 3 April 2014
  • A. Cecen, T. Fast, E.C. Kumbur, S.R. Kalidindi, A data-driven approach to establishing microstructure?property relationships in porous transport layers of polymer electrolyte fuel cells, Journal of Power Sources, Volume 245, 1 January 2014