Using AI to drive research: A panel discussion
This event is organized by ACENET.
A panel from the Department of Computer Science, Faculty of Science, will include:
- Dr. Xianta Jiang, associate professor, Ubiquitous Computing and Machine Learning Research Lab;
- Dr. Lourdes Pena-Castillo, professor, Bioinformatics Lab; and
- Dr. Karteek Popuri, assistant professor, Data and Image Analysis Group.
Moderator: Julian Squires, systems administrator, ACENET
Drs. Jiang, Pena-Castillo and Popuri are each utilizing AI as the tool in their research.
Dr. Jiang focuses on building natural interfaces between humans and machines to improve areas such as controlling prosthetic limbs, monitoring rehabilitation exercises, simulating surgical procedures and virtual reality.
Dr. Pena-Castillo uses AI to solve molecular biological problems, such as understanding how bacteria regulates their genes and how microbiota affects organisms and the environment.
Dr. Popuri focuses on developing automated medical image interpretation technologies to increase accuracy and reliability in diagnosing and treating cancer and neurodegenerative diseases.
Join us for this panel discussion as they tell us about their experiences with AI.
Learn how you might apply AI in your own research, what to think about and how to avoid some of the pitfalls.
Our panelists will outline the nature and applications of their own research, their own successes and failures using AI, lessons they’ve learned, and things you should consider if you’re thinking about incorporating AI into your work.
We will finish with an open Q&A forum.
This session will be offered virtually via Zoom and recorded. Log-in details are available here. Meeting ID: 832 9315 0635. Passcode: 390852
Return to Research Week 2024 events.
Location: Virtual
Date and Time: Wednesday, Nov. 27 at 01:30 PM - 02:30 PM (NST)
For more information: https://us02web.zoom.us/j/83293150635?pwd=PNLGxFRTIQ5OElL5HRKbKNviqb5X2Y.1