
The KAUST Conference on Artificial Intelligence is a two full-day event that will bring together KAUST faculty and researchers to highlight exciting AI research being done on campus. It will feature the broad AI landscape at KAUST by delving into topics on machine learning, AI theory and foundations, systems, and the many applications of AI in various scientific fields ranging from healthcare and biology to automation and visual computing.
The conference will be a hybrid event with both online streaming and (limited) in-person attendance. To register for the event (either in-person or online), please fill out this registration form. Registration for in-person participants will remain open until midnight of April 25, 2021. There is no deadline for remote attendence.
The conference will be a hybrid event with both online streaming and (limited) in-person attendance.
-
In-person participation: Due to HSE restrictions, there is a limited number of available seats for in-person attendees in the Auditorium of Building 20. We will try our best to accommodate the preferred mode of participation you enter in the registration form.
-
Online participation: The conference will be streamed as a webinar over Zoom: Join Zoom Webinar here.
Recording (KAUST Intranet) Recording (External link)
Agenda
Arabian Standard Time (UTC+3)
Day 1 - Wednesday, April 28th, 2021
In-Person Registration (08:30 - 09:00)
In-person attendees are requested to register physically in the hall of building 20 to collect their badge.
A Word from the President
Time | Speaker | Presentation |
---|---|---|
09:00 - 09:20 | Dr. Tony Chan (KAUST President) | Opening Remarks |
Session 1-A: Machine Learning
Time | Speaker | Presentation |
---|---|---|
09:20 - 09:40 | Prof. Bernard Ghanem | The AI Initiative at KAUST |
09:40 - 10:00 | Prof. Xiangliang Zhang | AI-enabled Analysis of Our Social Expression and Interactions in Digital Age |
10:00 - 10:20 | Prof. Peter Richtárik | Recent Advances in Optimization for Machine Learning |
Networking Break (10:20 - 10:40)
Session 1-B: AI and Healthcare
Time | Speaker | Presentation |
---|---|---|
10:40 – 11:00 | Prof. Pierre Magistretti | KAUST Smart Health Initiative: Importance of AI and ML |
11:00 – 11:20 | Prof. Xin Gao | Towards AI-based precision medicine in breast cancer – from molecular-, to imaging-, to radiogenomics analysis |
11:20 – 11:40 | Prof. Jesper Tegner | AI and Health – Challenges and Opportunities |
Spotlights (11:40 - 12:20)
VoteNetworking Break (12:20 - 13:00)
Session 1-C: AI and Automation
Time | Speaker | Presentation |
---|---|---|
13:00 – 13:20 | Mohamed Abdel-Aal | Practical Lessons and Opportunities from Testing Autonomous Mobility at KAUST |
13:20 – 13:40 | Prof. Eric Feron | Enabling Safe Cyber-Physical System autonomy with AI |
13:40 – 14:00 | Prof. Shehab Ahmed | Automation and Insights for Improved Oilfield Operations |
14:00 – 14:20 | Prof. Meriem T. Laleg | Fish Behavior Recognition and Data-driven Control for Smart Aquaculture |
14:20 – 14:40 | Prof. Michael Berumen | Next-Gen Mapping and Monitoring of Coral Reefs with SLAM and SfM |
Networking Break (14:40 - 15:00)
Session 1-D: AI and Systems
Day 2 - Thursday, April 29th, 2021
Session 2-A: AI Foundations
Networking Break (10:20 - 10:40)
Session 2-B: AI and Physics/Chemistry
Time | Speaker | Presentation |
---|---|---|
10:40 – 11:00 | Prof. Ying Wu | Artificial Intelligence(AI) Inspired Designs of Acoustic and Photonics Systems |
11:00 – 11:20 | Prof. Mani Sarathy | Intelligent Design and Discovery of Molecules |
11:20 – 11:40 | Dr. Didier Barradas-Bautista | Training Machines to Recognize Reliable Protein-Protein Docking Poses |
Spotlights (11:40 - 12:20)
VoteNetworking Break (12:20 - 13:00)
Session 2-C: AI and Biology
Networking Break (14:00 - 14:20)
Session 2-D: AI and Visual Computing
Time | Speaker | Presentation |
---|---|---|
14:20 – 14:40 | Prof. Peter Wonka | Recent Topics in Generative Modeling |
14:40 – 15:00 | Prof. Mohamed Elhoseiny | Imagination supervised Machines that can See, Create, Drive, and Feel |
15:00 – 15:20 | Prof. Dominik Michels | Physics-based Modeling Meets Machine Learning |
Networking Break (15:20 - 15:40)
Panel Discussion
Time | Speaker | Presentation |
---|---|---|
15:40 – 16:40 | Dr. Tony Chan (KAUST President) Prof. Lawrence Carin (KAUST Provost) Prof. Bernard Ghanem Prof. Xiangliang Zhang Prof. Jesper Tegner |
Challenges, Prospects and Future of AI |