Nanyang Technological University (NTU)
南洋理工大学

Singapore

Nanyang Technological University, Singapore

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in engineering, business, science, humanities, arts, social sciences, education and medicine. NTU’s Lee Kong Chian School of Medicine was established jointly with Imperial College London.

Ranked 11th in the world, NTU has been placed the world’s top young university for the past six years. The NTU Smart Campus is frequently listed among the Top 15 most beautiful university campuses in the world and it has 57 Green Mark-certified (equivalent to LEED-certified) building projects, of which 95% are certified Green Mark Platinum.

NTU is home to world-class autonomous institutes - the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering - and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N).

Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.

A cosmopolitan hub of more than 100 nationalities, the NTU community comprises about 5,000 faculty and researchers.

1 December 2019 - 30 November 2020

Region: Global
Subject/journal group: All

The table to the right includes counts of all research outputs for Nanyang Technological University (NTU) published between 1 December 2019 - 30 November 2020 which are tracked by the Nature Index.

Hover over the donut graph to view the FC output for each subject. Below, the same research outputs are grouped by subject. Click on the subject to drill-down into a list of articles organized by journal, and then by title.

Note: Articles may be assigned to more than one subject area.

Count	Share
582	224.84

Outputs by subject (Share)

Subject	Count	Share
Earth & Environmental Sciences	75	31.57
Chemistry	251	114.53
Physical Sciences	269	107.51
Life Sciences	114	22.58

Highlight of the month

Speeding up robot response times

Self-healing robots that can respond to sensations faster will be better suited for working in challenging environments.

Most robots operate in controlled environments, but increasingly robots will work in less predictable environments alongside people. To do this, they will need to respond to sensations faster.

Sensors on robots usually send signals to a central processing unit for processing, but this approach has two disadvantages: it is slow because sensors are far from the processing unit and it susceptible to damage if wires are severed.

Now, a team of researchers at Nanyang Technological University, Singapore, has overcome both problems by using sensors connected to many processing units. They also used a self-healing gel that allows robots to recover lost functions by themselves.

Since the signal processing occurs locally, the response times of the robot was cut by a factor of five to ten compared to conventional robots, the researchers claim.

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