Category: Students
WiCSE to receive the NCWIT Student Seed Fund Gift of $5,000
August 12, 2016Since 2011, the NCWIT (The National Center for Women & IT) Student Seed Fund has invested over $178,250 in more than 129 student-run programs for women in computing at non-profit, U.S. Academic Alliance member institutions nationwide (excluding U.S. territories). Programs have included technology-related learning and advancement opportunities, including programming workshops, peer mentoring and support, professional […]
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Ph.D. Student Wins the NSF Graduate Research Fellowship
April 1, 2016Congratulations to Yerika Jimenez, a CISE Ph.D. student, for winning the NSF Graduate Research Fellowship.
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Embedded Systems Lab wins ISQED Best Paper Award
March 30, 2016CISE Ph.D. student Yuanwen Huang and his advisor Prabhat Mishra won the Best Paper Award at the IEEE International Symposium on Quality Electronic Design (ISQED 2016) for their paper entitled “Reliability and Energy-aware Cache Reconfiguration for Embedded Systems.” This paper has developed optimization techniques to balance conflicting design constraints such as energy and reliability. Cache vulnerability due to soft errors is one […]
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Student Spotlight: Jerone Dunbar, Ph.D. Student
March 23, 2016The world of autonomous vehicles is rapidly changing, and what was once a dream in various science fiction films is inching closer and closer to reality. Many companies, such as Google and Tesla, are publicly working on autonomous vehicles, but who is working on the human-centered side of this technology? Jerone Dunbar is a Ph.D. […]
Read more: Student Spotlight: Jerone Dunbar, Ph.D. Student »CRA Women – 2016 Grad Cohort in San Diego California
January 25, 2016Our warmest congratulations to Brianna B. Posadas, Yerika A. Jimenez, Sanethia V. Thomas, Ekaterina Muravevskaia, Farimah Farahmandi, and Jasmine D. Bowers in regards to being selected for the CRA women – 2016 Grad Cohort in San Diego California. The 2016 CRA-W Grad Cohort Workshop will be held at the Hilton San Diego Bay Front in San […]
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An Inside Look: What’s It Like to Intern for Intel?
January 13, 2016From Jobs@Intel Blog as part of the Intel Inside campaign. An Inside Look: What’s It Like to Intern for Intel?
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Meet Jasmine Bowers: Future Educator
September 3, 2015The Lawrence Livermore National Laboratory (LLNL) student internship program is designed to allow students to engage in work-study employment opportunities in relevant science, technology, engineering, mathematics (STEM) and administrative fields during the summer academic break. This year, LLNL is proud to welcome more than 600 students from universities nationwide and around the world. Full name: […]
Read more: Meet Jasmine Bowers: Future Educator »Controlling Drones with Your Mind
July 1, 2015Three GEM Fellows from the University of Florida (UF) did a fantastic job preparing for and briefing Intel CEO Brian Krzanich and Intel Senior Vice President of Human Resources Richard Taylor. They also prepared a live demonstration of UF Brain-Computer Interface group research on June 24, and there are significant opportunities for next steps. Congratulations […]
Read more: Controlling Drones with Your Mind »MERL – Best Paper Award
February 17, 2015Elham Sakhaee, Ph.D. student, and Alireza Entezari, an associate professor at the CISE, won the best paper award, sponsored by the Mitsubishi Electric Research Lab (MERL) for their paper entitled “Learning Splines for Sparse Tomographic Reconstruction” that was presented at the 10th International Symposium on Visual Computing (ISVC’14). Tomography is a fundamental computational approach to a wide […]
Read more: MERL – Best Paper Award »CISE Ph.D. Student Wins Best Paper Award at Conference
April 7, 2014Junjie Li’s paper wins the best paper award at the 6th International Conference on Bioinformatics and Computational Biology (BICoB) in Las Vegas. “Optimal Alignment of Three Sequences on a GPU” is co-authored by CISE faculty Sanjay Ranka, Ph.D., and Sartaj Sahni, Ph.D. Graphics Processing Units (GPUs) were developed originally to meet the computational needs of algorithms […]
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