Much of my research interest lies in various aspects of Machine Learning, Natural Language Processing and AI. I have gained experience in these areas through various projects and research work done at graduate school.

[Fall’16] I am working as Graduate Research Assistant with Laboratory for Analytic Sciences on a novel approach for instrumentation software based on desktop screenshot analysis. Implementing algorithms for image analysis, OCR, and text analysis are my key tasks here.

[Fall’15 & Spring’16] I am a Graduate Research Assistant in the Center for Educational Informatics Lab at NCSU under the supervision of Dr. Min Chi. My tasks includes evaluating and building models for the challenging problem of Automatic Short Answer Grading (ASAG) for Intelligent Tutoring Systems(ITS).

Publications / Posters

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  • Yuan Zhang, Rajat Shah and M. Chi, Deep Learning + Student Modeling + Clustering: a Recipe for Effective Automatic Short Answer Grading, The 9th International Conference on Educational Data Mining (EDM2016).

  • Paul Jones, Dakota Medd, Sreekanth Ramakrishnan, Rajat Shah, Joann Keyton, Nagiza F. Samatova, Towards Automatic Linkage of Analyst’s Claims with Associated Evidence from Screenshots, IEEE BigDataService 2017.
    IEEE, Poster