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I am Kiran Samudrala, a data scientist from Atlanta, GA, USA. Past fifteen years of my career as an applied scientist has blessed me with the ability to identify a data problem, formulate the problem as a mathematical construct, convert the math into a numerical solution, and extract actionable insights from the large amounts of data.
I am currently working with Delta Air Lines and enjoying the opportunity of being able to apply my skills to airline commerce. Data driven revenue optimization models that I developed help deliver the answers of availability to customer flight booking searches while optimizing the revenue. My machine learning models identify target customers for a marketing campaign while optimizing engagement rates and expected revenue.
Phd Thesis: Scalable Techniques for the Analysis of Materials Science Data
The idea for my thesis started with a goal to develop advanced, scalable techniques for analyzing atom probe tomography data. By the end of my fourth year, I had an experience of analyzing several large-scale datasets extracted from experiments like atom probe tomography, and thermo-fluidic numerical simulations. Life-cycle of a typical research project is as follows:
Mathematical Modelling: Development of mathematical models for solving data-driven research problems in Science and Engineering
Computational Tool Development: Development of scalable, parallel algorithms and code for the mathematical framework (SETDiR, Power2d, GraPTop)
Data-Analysis: Application of the framework to large real-time data and analyzing the results
Research Interests:
Mathematical Modeling
Parallel Algorithms
Data Mining
Phd Thesis: Scalable Techniques for the Analysis of Materials Science Data
The idea for my thesis started with a goal to develop advanced, scalable techniques for analyzing atom probe tomography data. By the end of my fourth year, I had an experience of analyzing several large-scale datasets extracted from experiments like atom probe tomography, and thermo-fluidic numerical simulations. Life-cycle of a typical research project is as follows:
Mathematical Modelling: Development of mathematical models for solving data-driven research problems in Science and Engineering
Computational Tool Development: Development of scalable, parallel algorithms and code for the mathematical framework (SETDiR, Power2d, GraPTop)
Data-Analysis: Application of the framework to large real-time data and analyzing the results
Research Interests:
Mathematical Modeling
Parallel Algorithms
Data Mining
Current and Past Collaborations:
Aluru Group: Srinivas Aluru, Jaroslaw Zola
CoSMIC: Krishna Rajan, Scott Broderick, Kaustubh Karluskar, Prasanna Venkataraman, Santosh Suram
Sundararajan Group: Sriram Sundararajan, Srinath Kishtampalli
Awards:
Millers Graduate Fellowship (2010-2012): For exceptional young scientists of great promise
Travel Awards for Conferences: WCCM (World Congress on Computational Mechanics) and SIAM-PP12.
Scholarship of Galloway Foundation Mechanical Engineering Fellow Spring 2009.
"Team of the Month" award while working at Infotech for a rare 100% client satisfaction in all areas of product evaluation.
Award-winning poster in Materials Genome Initiative's South-Eastern Conference, Atlanta, GA. [Reference: "Integrated Smart Microscopy-Indentation System", A. Khosravani, P. Shabbaki, S. Samudrala, S. Kalidindi.
What else?
I volunteered for a non-profit organization Sankalp at Iowa State University (2009-2012).
Music, dance and books draw my attention. Favorite Author: Agatha Christie.
I dabble in: ping-pong, tennis, swimming, sketching, painting and piano