People Profile


Associate Professor Wang Gang - Innovators Under 35 - MIT Tech Review

Former NTU EEE Associate Professor Wang Gang (having completed his term just in March 2017), was recently invited to join the MIT Technology Review's EmTech Asia conference and made a presentation about his work. The conference took place on 14-15 February 2017 at Marina Bay Sands, Singapore and featured plenary sessions throughout called "Meet the Innovators Under 35." Prof Wang and the other members of this year's class of young innovators were specially honoured at the event.

The Judges and Steering Committee of EmTech Asia together with the editors of MIT Technology Review have named, including Prof Wang, the 10 honourees of the regional MIT Technology Review Innovators Under 35 competition for Southeast Asia, Australia, New Zealand and Taiwan.

As an honouree, Prof Wang would automatically qualify for the 2017 Global MIT Technology Review Innovators Under 35 List, a group of the world's top young innovators. The editorial team of MIT Technology Review will review all finalists from around the world and the selected 35 innovators will be celebrated at the MIT Media Lab in the fall of 2017.

To add on to this terrific title success, Prof Wang is also newly appointed as an Associate Editor of the “IEEE Transactions on Pattern Analysis and Machine Intelligence” journal.

Professor Wang Peng

Prof Wang tells us more about his thoughts on receiving the “MIT Technology Review Innovators Under 35” honour:
“I feel truly honoured to receive this award and would like to thank NTU EEE for providing a wonderful platform for me to conduct my research! I consider this title as a recognition for all the NTU EEE colleagues working on artificial intelligence. We have made great progress together in recent years and attracted a lot of interest from the public. I could not have received this award without their interest in my work.”


Why were you bestowed the “MIT Technology Review Innovators Under 35” title?
“My research is on developing new algorithms to enable computers to understand the visual world as humans, who have amazing vision perception capability. My research aims to computationally model humans’ visual perception mechanism via deep neural networks. The research methods are proven to be very effective for many visual understanding tasks such as image parsing, which is very useful for many applications such as driverless vehicles.”

What do you look forward to after winning this title?
“I look forward to solving some of the challenges still existing in artificial intelligence. For example, sophisticated deep learning algorithms cannot be run on low-power devices efficiently, which heavily limits the application of deep learning. I would like to focus on such challenging research problems in the future.”

What EEE-related projects are you currently involved in?
“During my time as an associate prof in NTU EEE, I was involved in a Delta-NTU corporate lab (@NTU EEE) project. For this project, I was working on developing visual understanding systems to make computers understand learners’ behaviour in classrooms and on the Internet automatically, so that new teaching methodologies can be developed to improve teaching effectiveness. Recognising human behaviour is easy for us, but difficult for computers. I am working on developing algorithms that imitate humans’ information flow mechanism to more effectively process visual information, and thus improve the recognition performance.”

Tell us some of the things you look forward to as an Associate Editor (AE) of IEEE transactions on the prestigious journal – “Pattern Analysis and Machine Intelligence”.
“IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is the most prestigious journal in artificial intelligence, computer vision, and pattern recognition, with the impact factor of 6.077. The journal is highly selective, as a result, it has high requirements for the part of associate editorship! As an associate editor, I will handle submissions relevant to deep learning, image classification, and action recognition. These areas are also among the hottest and most competitive areas of artificial intelligence in recent years.

It is a heavy responsibility to act as an AE of TPAMI. AEs play a very important role in selecting papers from many excellent submissions. I need to do a good job to ensure the best papers can be published in this prestigious journal. I look forward to working with reviewers and colleagues to make this happen.”



Published on: 11-April-2017