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Congratulations to Ms Gurleen Kaur, PhD student supervised by Associate Professor Aaron Danner of the Department of Electrical and Computer Engineering, NUS for having received the Best Paper Award at the 10th International Conference on Crystalline Silicon Photovoltaics (Silicon PV 2020). The winning entry was titled “Can Charge Enhance Selectivity? Passivated Contacts Using a Highly

Applications such as bio-molecular sensing, medical diagnostics and environment monitoring have been motivating the research in mid-infrared technology. However, the compatibility issue among traditional materials remains a challenge in realising chip-scale mid-infrared systems. Two-dimensional black phosphorus may overcome this challenge by providing versatile functions for mid-infrared manipulation. Recently, a research group led by Assoc. Prof.

Ms Pranati Rajagopal, ECE Electrical Engineering Year 2 student who is the Project Manager of the NUS Rover Team was recently featured on a talk show at MoneyFM 89.3 together with the team’s Technical Lead, Ms Anoushka Bhutani (Mechanical Engineering Year 2). In the talk show, the students shared about their Mars Rover Project, how

Congratulations to Dr Yeo Boon Thye, Thomas who has been promoted to Associate Professor with effect from 1 July 2020. Dr Thomas Yeo received his B.S. and M.S. from Stanford University and Ph.D. from the Massachusetts Institute of Technology in electrical engineering and computer science. He then underwent neuroscience training at Harvard University and Duke-NUS

We are proud to announce that the Ph.D. thesis of our recent graduate, Dr. Oktoviano Gandhi, titled “Reactive Power Support Using Photovoltaic Systems: Techno-Economic Analysis and Implementation Algorithms” has been given the Springer Thesis Award for its scientific excellence and the high impact of its contents. Dr. Oktoviano Gandhi joined NUS as a Ph.D. student

A team including Dr. Marco Tomamichel from the Centre of Quantum Technology (CQT) and the Department of Electrical and Computer Engineering identify a separation in computational power between noisy quantum computers and classical computers. The researchers have shown the first known separation in computational power between noisy quantum computers and classical computers that does not

Professor Chua Soo Jin was awarded the Emeritus Professorship on 1 July 2020. The award of Emeritus Professorship is conferred to full professors on retirement in recognition of their stellar and sustained contributions in distinguished scholarship and service to the University and community. Professor CHUA Soo Jin joined the Department of Electrical and Computer Engineering,

The Green IC research team at NUS has developed an innovative technique that allows the transfer of bits (the basic unit of information in computing) across a silicon chip up to five times more efficiently than standard setups. This breakthrough is advantageous for applications such as machine learning, where many processing cores called “neurons” are

Helping a wet market survive COVID19 — ECE undergrad Kenny Chen started an online delivery service to help his parents’ chicken stall and today, he has expanded his online platform to help other stalls. Market Boy – Wet Market Home Delivery today covers almost the whole wet market, listing over 200 fresh items and has served more than 700 customers!

Professor Zhang Rui: Double IEEE Best Paper Awards for the second time Prof Zhang Rui from Department of Electrical and Computer Engineering, NUS has been conferred two prestigious IEEE awards: the IEEE Guglielmo Marconi Best Paper Award and the IEEE Heinrich Hertz Best Paper Award, in recognition of his pioneering research in the new field

Professor Guo Yongxin has been appointed as Editor-in-Chief of IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology for a term of 3 years. He will be resuming duty on 1 August 2020. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology is a flagship journal co-sponsored by IEEE Microwave Theory

(Nanowerk Spotlight) Living organisms have inspired research of soft robotics that mimic the complex motion of animals and plants. However, current soft robots have limited or no sensory capabilities, which hinder their development toward artificial intelligent robots that could feel. The grand challenge lies in achieving highly integrated actuation and sensing mechanisms, which becomes even