Summer Research
Research Assistant
Functional dependency discovery
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Discovered genuine functional dependencies from collected datasets
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Adopted a statistical perspective between FD discovery and structure learning in probabilistic graphical models
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Discovered FDs from a noisy data set is equivalent to structure of a model over binary random variables
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Built a framework to recover true functional dependencies across data sets
Participant
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Read the Turing Computability Theory and Applications with the help of the instructor
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Met the instructor one hour per week for discussion
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Representation of the Turing Computability
Course Project
Introduction to Optimization
Optimization of police stations location in Milwaukee
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Collected data from open source to get the locations of past crime spots and police stations in Milwaukee
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Adopted MIP model in the GAMS,the General Algebraic Modeling System, to find the best position for adding one police station
Security and Privacy in Data Science
Impossible Results for Fairness
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Exploring the Algorithmic Fairness problem by proving the computational tractability of non-trivial fairness assignment problem.
Some source code will be uploaded in my Github site soon
Data Management for Data Science
Twitter Sentiment Analysis
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Loading and cleaning twitter data
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Derive the sentiment of each tweet
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Derive the sentiment of new terms