• IEEE.org
  • IEEE CS Standards
  • Career Center
  • About Us
  • Subscribe to Newsletter

0

IEEE
CS Logo
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
CS Logo

0

IEEE Computer Society Logo
Sign up for our newsletter
IEEE COMPUTER SOCIETY
About UsBoard of GovernorsNewslettersPress RoomIEEE Support CenterContact Us
COMPUTING RESOURCES
Career CenterCourses & CertificationsWebinarsPodcastsTech NewsMembership
BUSINESS SOLUTIONS
Corporate PartnershipsConference Sponsorships & ExhibitsAdvertisingRecruitingDigital Library Institutional Subscriptions
DIGITAL LIBRARY
MagazinesJournalsConference ProceedingsVideo LibraryLibrarian Resources
COMMUNITY RESOURCES
GovernanceConference OrganizersAuthorsChaptersCommunities
POLICIES
PrivacyAccessibility StatementIEEE Nondiscrimination PolicyIEEE Ethics ReportingXML Sitemap

Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

  • Home
  • /Publications
  • /Tech News
  • /Research
  • Home
  • / ...
  • /Tech News
  • /Research

AI's 10 to Watch, 2015

By Lori Cameron

By Lori Cameron on
June 8, 2016
AI Top 10 of 2015AI Top 10 of 2015 Every two years, IEEE Intelligent Systems acknowledges and celebrates 10 young stars in the field of AI as "AI's 10 to Watch." These accomplished researchers have all completed their doctoral work in the past five years. Despite being relatively junior in their career, each one has made impressive research contributions and had an impact in the literature—and in some cases, in real-world applications as well. IEEE Intelligent Systems will once again be selecting 10 young AI scientists to feature as "AI's 10 to Watch" in an upcoming issue. Read about the 10 (login may be required for full text)

AI's 10 to Watch, 2015

In early 2015, IEEE Intelligent Systems solicited nominations for its "10 to Watch" from a wide range of senior AI researchers from both academia and industry. The nominees all received their PhDs in the past five years. A short list of top candidates was voted on by the selection committee, consisting of members of the Intelligent Systems editorial and advisory boards. The final decisions were made by the entire boards. I would like to take this opportunity to thank Raymond Perrault, who served as the Chair of this year’s selection committee and did a great job managing the selection process. We also owe our thanks to the members of the selection committee who devoted a lot of time studying the nomination materials and deliberating very carefully about the best our community can offer. In the end, the top 10 surfaced with unanimous support from the advisory and editorial boards. We’re particularly pleased about the diversity of the winning group, the breadth of topic coverage, and the global nature of these award-winning works. IEEE Intelligent Systems presents to its readership and AI researchers around the world the 2015 list of AI’s 10 to Watch. We’re very proud about these young AI scientists’ innovative contributions and impact. We wish the best for their continued excellence and sustained impact in their future careers! — Daniel Zeng, editor in chief
About Lori Cameron Lori Cameron is a Senior Writer for the IEEE Computer Society and currently writes regular features for Computer magazine, Computing Edge, and the Computing Now and Magazine Roundup websites. Contact her at l.cameron@computer.org. Follow her on LinkedIn.
LATEST NEWS
Securing the Software Supply Chain: Challenges, Tools, and Regulatory Forces
Securing the Software Supply Chain: Challenges, Tools, and Regulatory Forces
Computing’s Top 30: Tejas Padliya
Computing’s Top 30: Tejas Padliya
Reimagining Infrastructure and Systems for Scientific Discovery and AI Collaboration
Reimagining Infrastructure and Systems for Scientific Discovery and AI Collaboration
IEEE 2881: Learning Metadata Terms (LMT) Empowers Learning in the AI Age
IEEE 2881: Learning Metadata Terms (LMT) Empowers Learning in the AI Age
Platform Engineering: Bridging the Developer Experience Gap in Enterprise Software Development
Platform Engineering: Bridging the Developer Experience Gap in Enterprise Software Development
Read Next

Securing the Software Supply Chain: Challenges, Tools, and Regulatory Forces

Computing’s Top 30: Tejas Padliya

Reimagining Infrastructure and Systems for Scientific Discovery and AI Collaboration

IEEE 2881: Learning Metadata Terms (LMT) Empowers Learning in the AI Age

Platform Engineering: Bridging the Developer Experience Gap in Enterprise Software Development

IEEE Std 3158.1-2025 — Verifying Trust in Data Sharing: Standard for Testing and Performance of a Trusted Data Matrix System

IEEE Std 3220.01-2025: Standard for Consensus Framework for Blockchain System

Mapping the $85B AI Processor Landscape: Global Startup Surge, Market Consolidation Coming?

FacebookTwitterLinkedInInstagramYoutube
Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter