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Research Experiences for Undergraduates (REU)

Research Experiences for Undergraduates (REU). Department of Computer Science Texas State University-San Marcos June 1– August 2, 2011. New Paradigms of Information Retrieval from Diverse Data

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Research Experiences for Undergraduates (REU)

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  1. Research Experiences for Undergraduates (REU) Department of Computer Science Texas State University-San Marcos June 1– August 2, 2011 New Paradigms of Information Retrieval from Diverse Data http://www.cs.txstate.edu/reuir Why REU? The primary objective of this REU program is to motivate a diverse body of undergraduate students to pursue research careers via intensive summer research projects in information retrieval with a focus on diverse data. The world is becoming increasingly digitalized. Digital data appear in diverse forms: textual, multimedia, geo-referenced, structured, etc. Retrieving information from such diverse data of large scale pose unprecedented challenges. New paradigms need to be explored and next-generation computer scientists need to be prepared with advances in this field. This REU program covers the main research projects within the iDig (Information and Data Innovation Group) research group at Texas State University. The core aspects covered in this 9-week summer program include new paradigms and architectures for information retrieval and Web search, multimedia information retrieval, spatial and temporal data retrieval, and discovery of scientific data sources. The students will spend nine weeks in the summer on site working in groups of two with supervising faculty member on a practical research project. Students will be assigned to an on-campus dormitory for inclusion in a supportive campus community. Students will be closely mentored on research processes, research ethics, advanced technology development and both written and oral presentation skills. They will also participate in practical professional development activities such as workshops for graduate school application and field trips to industrial laboratories. The program will also include a fun social event at the crystal-clear San Marcos River. Important Dates Who can apply? ►Applicant must be a US Citizen or US Permanent Resident ►Applicant should have at least completed data structures and computer algorithms classes or their equivalence ► Applicant should have good programming knowledge in an object-oriented language ►Women, minorities and two-year college students are encouraged to apply Benefits ►Stipend: $500 per week ►Travel re-imbursement of up to $600 ►Free on-campus housing and meal How to apply? Review of applications will begin on March 25, 2011 and continue until all ten positions are filled. Application must be electronically submitted via reuir@txstate.edu with the following supporting documents. 1. Completed application form. Download the application form from the program website. Students should indicate the order of preference of the four main research topics. 2. An electronic copy of the most recent official transcript, including the courses registered for Spring 2011. A scanned copy of an official transcript is sufficient. 3. One letter of recommendation from a faculty member who can assess your ability to do research. 4. A one-page resume. 5. A one-page description of career goals including reasons for wanting to do research and participate in this REU program. Contact: Dr. Anne H.H. Ngu Email: reuir@txstate.edu Phone: (512) 245-3409 Fax: (512) 245-8750 Department of Computer Science Texas State University-San Marcos 601 University Drive , San Macros, TX 78666 Application due …………………….....March 25, 2011 Decision notification………………..…. April 8, 2011 Formal Acceptance letter ………........ April 15, 2011 Program begins …………………….… June 1, 2011 Program ends ……………………..….. August 2, 2011 Mentors and Topics: Dr. Byron J. Gao….………….Information Retrieval and Data Mining Dr. Lucy Lu ……………………Multimedia Information Retrieval Dr. Mark Mckenney…...….…..Spatial and Temporal Data Retrieval Dr. Anne H.H. Ngu…………...Deep Web Source Discovery and Integration For more information, please visit the program website http://www.cs.txstate.edu/reuir which will be updated as additional information becomes available iDig iDig

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