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Ahmet Cecen
Programmer

Contact

500 10th Street NW
Atlanta, Georgia GA 30332 US
(267) 586-4505

About

Versatile programmer looking for a full time position around Summer/Fall 2017. Uncanny ability and enthusiasm to assimilate, adapt and build on existing code and concepts in pretty much any language and project.
Currently pursuing a PhD in Computational Science and Engineering at Georgia Institute of Technology. I have been doing research and heavily programming in the fields of computational materials science and materials informatics for the past 7 years. My current research focus is on leveraging statistical analysis and machine learning tools to solve big data analytics problems in materials science.


Work Experience

  • Present 08/2013

    Georgia Tech - MINED Group

    Graduate Research Assistant
  • 06/2014 01/2014

    Georgia Tech - School of Public Policy

    Graduate Research Assistant
  • 08/2013 03/2010

    Drexel University - MINED Group

    Undergraduate Research Assistant
  • 08/2013 03/2010

    Drexel University - ECSL Group

    Undergraduate Research Assistant

Education

  • Present 08/2013

    Georgia Institute of Technology

    Doctorate

    Computational Science and Engineering

    Thesis: Microstructure Analytics: Exploration, Evolution, Linkages & Reconstructions

  • 08/2013 09/2009

    Drexel University

    Bachelors

    Mechanical Engineering and Mechanics

    Graduation Project: Design and Manufacturing of an Automated Electrochemical Flow Capacitor Test Station

Awards

  • 05/2016

    Air Force Research Lab in partnership with NIST and NSF

    Materials Science and Engineering Data Challenge - Runner Up

Toolsets

Mach. Learn. & Data Anlys.
Web Development
Deployment & Automation
Database Systems
HPC & Big Data

Secondary Interests

Electronics
Hardware Prototyping Gadgetry Control Systems
3D Visualization
Paraview MeshLab ThreeJs
Audio/Visual Editing and Polishing
Photoshop Premiere Pro Audition
Other
Data Archival Teaching

Languages

  • EnglishActive | Fluent
  • TurkishActive | Fluent
  • FrenchPassive | Intermediate
  • JapanesePassive | Beginner

Community Impact

Google Scholar Citations public

Citation indicesAllSince 2011
Citations152152
h-index66
i10-index55

MATLAB Central Contributions public

AugSepOctNovDecJanFebMarAprMayJunJul0102030

Top 1% contributor

Github Contributions public

447 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul M W F
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Journal Articles

1. Development of High Throughput Assays for Establishing Process-Structure-Property Linkages in Multiphase Polycrystalline Metals: Application to Dual-Phase Steels
2. Role of materials data science and informatics in accelerated materials innovation
3. Versatile algorithms for the computation of 2-point spatial correlations in quantifying material structure
4. Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters
5. Structure–property linkages using a data science approach: Application to a non-metallic inclusion/steel composite system
6. A data-driven approach to establishing microstructure–property relationships in porous transport layers of polymer electrolyte fuel cells
7. Resolving macro-and micro-porous layer interaction in polymer electrolyte fuel cells using focused ion beam and X-ray computed tomography
8. 3-D microstructure analysis of fuel cell materials: spatial distributions of tortuosity, void size and diffusivity
9. Selection of representative volume elements for pore-scale analysis of transport in fuel cell materials

Conference Abstracts & Presentations

1. Analytics on Large Microstructure Datasets Using 2-pt Statistics: Application to Al-Cu Solidification Process
2. Data Science Enabled Fusion of Microstructure Images with Strain Fields Measured by DIC
3. Introduction to Materials Informatics with Open Source Tools
4. Microstructure Informatics for Mining Structure-Property-Processing Linkages from Large Datasets
5. Application of Statistical and Machine Learning Techniques for Correlating Properties to Composition and Manufacturing Processes of Steels
6. Multiscale Model for Non-Metallic Inclusions/Steel Composite System Using Data Science Enabled Structure-Property Linkages
7. Microstructure-driven analysis of two-phase transport in diffusion media of PEFCs”
8. Advanced microstructural analysis tools to quantify two-phase transport in gas diffusion layers of polymer electrolyte fuel cells
9. Characterization of two-phase flow properties of dual-layer PEFC gas diffusion electrodes via microstructure analysis and pore-scale modeling
10. Microstructure and two-phase flow analysis of gas diffusion electrodes of polymer electrolyte fuel cells
11. A Representative Volume Element Approach for Pore-Scale Modeling of Fuel Cell Materials
12. Microstructure Analysis Tools for Quantification of Key Structural Properties of Fuel Cell Materials
13. A new approach for microstructure characterization of porous fuel cell materials
14. Focused ion beam tomography of diffusion media for fuel cells
15. A new approach for quantification of morphology-property linkages In fuel cell materials: a case study for PEM fuel cells
16. Determination of Key Structural Parameters of Fuel Cell Porous Media through Microstructure Quantification
17. Microstructure characterization of micro-porous layer in PEM fuel cells