Outstanding Chapter Website Submissions
Thank you to our panel of judges for agreeing to help us out!
We hope that this set up will allow for a smooth and efficient judging process. Following each list of submissions is the rubric for judging that specific category. If you have any questions or concerns throughout this process, please do not hesitate to contact Sunita Jaswal, local_activities@hq.acm.org.
Listed below is a brief description of what we expect, followed by each chapters' submission.
Oustanding Chapter Website - 14 Chapter Submissions
Chapters should apply to the Outstanding Chapter Website category if they have maintained an outstanding chapter website. They should tell us about the design and content as well as any noteworthy features. They should explain how it was created and how it is kept up to date. A URL must be provided!
Bharati Vidyapeeth's College of Engineering ACM Student Chapter
BITS Pilani-Rajasthan ACM Student Chapter
Helwan University ACM Student Chapter
Pontificia Universidad Javeriana ACM Student Chapter
Santa Clara University ACM Student Chapter
University of Florida ACM-W Student Chapter
University of Lahore ACM Student Chapter
University of Virginia ACM-W Student Chapter
Outstanding Chapter Website Scoring Rubric
Edge Computing
ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. RfP consistently serves up expert-curated guides to the best of CS research, and relates these breakthroughs to the challenges that software engineers face every day. In this installment of RfP is by Nitesh Mor, a PhD candidate at UC Berkeley working on the next generation of globally distributed computer systems with a special focus on data security and privacy. Titled “Edge Computing,” this RfP gives an overview of some of the most exciting work being done in the area of computing infrastructures and applications. It provides an academic view of edge computing through samples of existing research whose applications will be highly relevant in the coming years.
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