News & Events

Share         

​NTU - NVIDIA NVAITC Joint Symposium on Artificial Intelligence

Published on: 16-Feb-2021

School of Mechanical & Aerospace Engineering
Symposium Announcement​
               
NTU - NVIDIA NVAITC Joint Symposium on Artificial Intelligence
                                                             
Date: Tuesday, 16 February 2021
Time: 9:00am 

Venue: The Arc, LHN TR+08 (LHN-B2-08)

OR

Join Zoom Meeting
Meeting ID: 999 1565 4024
Passcode: 659615

This symposium will be hosted by A/P Wan Man Pun, Associate Chair (Research)

Programme

TimingProgramme Description Speaker/Presenter
8.30am – 9.00amRegistration (for participants attending physically at The Arc)
 
9.00am – 9.10am Opening Introduction Prof Wan Man Pun (MAE) and NVIDIA
9.10am – 9.35am Topical presentation on AI Overview and landscape

Industrial revolution is a rapid development of industry brought about by key technology drivers. Today, the 4th wave is upon us. With the resurgence of Artificial Intelligence, we are progressing into an Age of Intelligence. In this talk, we offer a perspective on the revolution that AI is bringing about and how we can ride this 4th wave.
Dr Ng Aik Beng (NVIDIA)
9.35am – 10.00am Topical presentation on ISAAC platform for Robotics

NVIDIA Isaac is a developer toolbox for accelerating the development and deployment of AI-powered robots. The SDK includes Isaac applications, GEMs (robot capabilities), a Robot Engine, and Isaac Sim. In this talk, we introduce and share with the audience on what Isaac is and how to get started.
Ms Nyla Worker (NVIDIA)
10.00am – 10.25am Topical presentation: AI for Medical Imaging Computing and Computer-assisted Intervention

Immunotherapy treatment has received significant interest in cancer research recent years. In this talk, I will share our efforts in collaboration with Singapore General Hospital, National Cancer Center, and Institute for Molecular and Cell Biology for an interdisciplinary research to develop Artificial Intelligence techniques for Immunoradiomics applications. Specifically, I will present our research and development on various deep learning and machine learning algorithms for clinical data driven and image-based cancer analysis including prediction of prognosis to an immunotherapy, biomarker and cancer tissue microscopic image understanding, and CT image automatic registration and segmentation, as well as dimensional reduction for immunoradiomics correlation study.
Prof Cai Yiyu (MAE)
10.25am – 10.50amTopical presentation: AI-enabled autonomous driving and human-machine systems

In this talk, AI-enabled methods for human-like autonomous driving and human-machine collaboration will be shared, respectively. First, learning based algorithms for trajectory prediction and decision making for connected automated vehicles will be discussed. Then, leveraging deep learning techniques, vision-based human state monitoring and human-machine collaboration algorithms will be introduced.

Prof Lyu Chen (MAE)
10.50am – 11.15am
Topical presentation: Application of AI for Workplace Safety

Workplace Safety has always been a key cornerstone for Singapore’s Vision Zero initiated by Ministry of Manpower’s Workplace Safety and Health Institute.  With Singapore moving into Phase 3 of the re-opening in December 2020, some companies may be ramping up work activities to meet deadlines.  On the ground level, the management needs to constantly review work practices and ensure that the necessary safeguards are in place.
Prof Holden Li (MAE)
11.15am – 11.30am Presentation on research interests and Applied Research Accelerator Program (ARAP) programmeMr Vincent Tang (NVIDIA)
11.30am – 12.05pmOpen-floor discussions 
12.05pm – 12.15pmClosing 

Important Points to note for participants attending at the phyiscal venue at The Arc:
Please scan the QR code (pasted outside tutorial room door) and sign in your attendance upon arrival. 
Maximum seating capacity is 24 pax and will be on first come first serve basis.
Please maintain a safe distancing of at least 1 metre.
All attendees are required to wear a face mask.

Back to listing