Computer Science Assistant

Karan Sharma**** SW Park Ave #***Portland, OR ****1Ph. 503-***-****(*****@***.***)Education Master of Science (pursuing), Computer Science, The Portland State University (since Fall 2008). Master of Science, Artificial Intelligence, The University of Georgia, December 2008. Bachelor of Technology, Electronics & Communication Engineering, Kurukshetra University, India,July 2005.Relevant Employment Teaching Assistant, Computer Science Department, The Portland State University (Fall 2008 – Winter-2010). I have tutored Visual Basic and machine learning classes. Mathematics Tutor for classes Mathematical Modeling, Pre-calculus and Calculus for Science andEngineering, The University of Georgia, Summer 2008. Research Assistant, Artificial Intelligence Center, The University of Georgia (Aug. 2006 – May 2008) onan NED software project funded by the USDA forest service.

Technical Skills Java, C, Visual Basic, Scheme, Haskell, SQL, Prolog, Matlab,working knowledge of C++. Significant project experience in Genetic Algorithms, Neural Networks, Support VectorMachines and other machine learning/data-mining algorithms.

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Publications Karan Sharma (2008). Designing Knowledge Based Systems as Complex Adaptive Systems. In theProceedings of the First Conference on Artificial General Intelligence, Memphis, TN, 2008. Karan Sharma (2003). Hardware Implementations of Artificial Neural Networks. Presented at National Institute of Technology, Kurukshetra, India.Special Achievements Awarded a plaque by the USDA Forest Service for my performance on NED decision support system saying:“In recognition of your outstanding work on the NED decision support system for Forest EcosystemManagement. Your efforts improving the NED-2 goals and the systems for generating goal reports have earnedyou the respect and admiration of the entire NED team. Your work represents a significant contribution toutilize and protect forested ecosystems in the United States and throughout the world.” Cited and quoted in Persistent Forecasting of Disruptive Technologies, National Academies Press,

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Washington D.C. A defense report of Committee on Forecasting Future Disruptive Technologies.Theses Master’s Thesis (for Computer Science degree)Image Segmentation and Recognition –I am exploring the connection between image segmentation andimage recognition. In particular, I am garnering the support for the idea that there is a substantial and significantconnection between image segmentation and recognition. Master’s Thesis (for AI degree)Towards Generally Intelligent Machines – In this thesis, I explored the connection between intelligence andcreativity for creating generally intelligent agents.Memberships Scientific Advisory Board Member, Lifeboat Foundation, an NGO dedicated to lettinghumanity survive existential risks. Student Member, AAAI.ReferencesProf. Melanie MitchellDepartment of Computer ScienceP.O. Box 751Portland State UniversityPortland, OR 97207-0751 USA503 ***-******@***.*******. Donald NuteFranklin College Professor EmeritusDepartment of PhilosophyArtificial Intelligence CenterThe University of GeorgiaAthens, GA 30605, USA706 ***-*********@***.*******. Cynthia BrownDepartment of Computer SciencePortland State University,CMPS, PO Box 751,Portland, OR 97207503 ***-**********@**.***.*******. Walter D. PotterDirector, Artificial Intelligence CenterThe University of GeorgiaAthens, GA 30605, USA(706) 542-0361mailto:%********@***.***