Rosen Center for Advanced Computing
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AI Hubs Faculty Seminar Series: AI Across Purdue

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  • Hall of Data Science and AI 1069
  • Events

The Rosen Center for Advanced Computing (RCAC), in collaboration with Purdue’s Institute for Physical Artificial Intelligence (IPAI), is co-hosting a new seminar series, titled "AI Hubs Faculty Seminar Series: AI Across Purdue."

This seminar series brings Purdue faculty and researchers together to explore AI opportunities and build connections across campus and NSF-supported programs. Each session features two 20-minute faculty talks followed by 20 minutes of Q&A and networking. In each session, you will:

  • Hear short talks showcasing AI work across diverse disciplines
  • Meet and network with faculty interested in AI research and teaching
  • Share your challenges and expectations with Purdue AI Hubs admins.
  • Participate in open discussion and Q&A
  • Learn about Purdue and NSF AI, computing, and data services
  • Join the conversation and help shape the future of AI at Purdue.

The series is open to anyone at the university and registration is not required. Please join us in helping to advance AI at Purdue!

Schedule:

All sessions take place from 3-4 p.m. in DSAI 1069

  • Februray 10: Professor Nikhilesh Chawla (Materials Engineering), Professor Alexandra Boltasseva (Electrical and Computer Engineering)
  • March 3: Professor Yan Gu (Mechanical Engineering), Professor Jinha Jung (Civil and Construction Engineering)
  • March 10: Professor D. Marshall Porterfield (Agricultural and Biological Engineering), Professor Yaguang Zhang (Agricultural and Biological Engineering)
  • March 24: Professor Vanesa Cañete Jurado (College of Liberal Arts), Professor Maurice Tetne (College of Liberal Arts)
  • April 7: Professor Edwin Garcia (Materials Engineering), Professor Romit Maulik (Mechanical Engineering)
  • April 21: Professor Prianka Baloni (Health Sciences), Professor Mia Liu (Physics and Astronomy)
  • April 28: Professor Mustafa Abdallah (Computer and Information Technology), Professor Rua M. Williams (Applied and Creative Computing)

Details of talks will be published the week before each event through RCAC and IPAI mailing list. Please subscribe to our RCAC newsletter and our IPAI newsletter for more information.

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