Shounak Roychowdhury, Ph.D. 10213 Prism Dr., Austin, TX, 78726 || 650-504-8365 || email:
[email protected] Profile • Software development and research experience at Oracle and LG Electronics. • Deep understanding of data science methods: machine learning; probability and statistics. • 5 US patents and 40+ peer reviewed publications in international conferences and top refereed journals Research Interests • Published research papers on computational intelligence, neural networks and fuzzy theory, numerical optimization, and natural language processing, and information theory. Education • Ph.D. (Computer Engineering), University of Texas at Austin, Austin, TX, (Dec. 2013) o Dissertation: A Mixed Approach to Spectrum-based Fault Localization Using Information Theoretic Foundations. (Machine Learning in Software Engineering) • M.S. (Computer Science), University of Tulsa, Tulsa, OK, (May 1997) o Thesis: Encoding and Decoding of Fuzzy Rules Patents • Chaos washing systems and a method of washing thereof (US Patent #5,560,230) • System and method for generating fuzzy decision trees (US Patent #7,197,504) • Method for extracting association rules from transactions in a database (U.S. Patent # 7,370,033) • Expediting K-means cluster analysis data mining using subsample elimination preprocessing (U.S. Patent # 8,229,876) • Bayes-like classifier with fuzzy likelihood (U.S. Patent # 8,229,875) Computer Languages • Python, Java, C/C++, MATLAB, R, SQL, PL/SQL, Perl, Ruby, Tcl/Tk Teaching Experience Adjunct Faculty Texas State University 2017- Present Professional Experience Hewlett Packard Enterprise, Austin, TX (Oct 2018 - present) Expert Technologist • Executed software development processes for composable rack team of HPE’s OneView cloud management system. • Developed a Python-based system to test the scalability of OneView connections across multiple layers of Plexxi switches.