Optimizing Age of Information in Random-Access Poisson Networks

IEEE Internet of Things Journal

Conditional sparse boosting for high-dimensional instrumental variable estimation

Journal of Statistical Computation and Simulation

 Multi-stage anisotropic etching of two-dimensional heterostructures

Nano Research

SUTD Author: Tony Q. S. Quek

SUTD Authors: Mu Yue

SUTD Authors: Dechao Geng and Hui Ying Yang

“This article focuses on the AoI minimization in random-access Poisson networks. By considering the spatiotemporal interactions amongst the transmitters, an expression of the peak AoI is derived, based on which the optimal peak AoI and the corresponding optimal packet arrival rate and channel access probability are further characterized.”--- Tony Q. S. Quek

“The paper considers the structural equation models with both high-dimensional instrumental variables and observed exogenous covariates. A novel two-stage sparse boosting approach is proposed to select the optimal instruments and important exogenous variables, as well as to estimate the causal parameter of interest.”   --- Mu Yue

"We propose a novel strategy to use Wadsley-Roth phase niobium tungsten oxide to achieve dual-ion batteries (DIBs) with superior volumetric performance. The excellent practicality of this DIB is demonstrated by assembling a flexible pouch battery. Meanwhile, the energy storage mechanism of the full battery was investigated by operando XRD characterization and operando Raman spectroscopy."   --- Hui Ying Yang