scispace - formally typeset
I

Ieong Wong

Researcher at University of California, Los Angeles

Publications -  22
Citations -  859

Ieong Wong is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Heat flux & Multiphase flow. The author has an hindex of 10, co-authored 22 publications receiving 786 citations. Previous affiliations of Ieong Wong include University of California & Shanghai Jiao Tong University.

Papers
More filters
Journal ArticleDOI

Surface molecular property modifications for poly(dimethylsiloxane) (PDMS) based microfluidic devices

TL;DR: Recent advances in nonbiofouling PDMS surface modification strategies applicable to microfluidic technology are summarized and two main categories are classified: physical approach including physisorption of charged or amphiphilic polymers and copolymers, as well as chemical approach including self assembled monolayer and thick polymer coating.
Journal ArticleDOI

Efficient Dielectrophoretic Patterning of Embryonic Stem Cells in Energy Landscapes Defined by Hydrogel Geometries

TL;DR: An integrated microfluidic platform for actively patterning mammalian cells, where poly(ethylene glycol) (PEG) hydrogels play two important roles as a non-fouling layer and a dielectric structure, which could provide an efficient strategy for fabricating various cell microarrays for applications such as cell-based biosensors, drug discovery, and cell microenvironment studies.
Journal ArticleDOI

Failure analysis and prediction of pipes due to the interaction between multiphase flow and structure

TL;DR: In this article, the authors studied multiphase flow induced erosion-corrosion in pipes, mainly focusing on the interactions between the multi-phase flow and the structure of the structure.
Journal ArticleDOI

Discovery of a low order drug-cell response surface for applications in personalized medicine

TL;DR: Testing this FSC technique in a number of experimental systems representing different disease states, it is found that the response of cells to multiple drugs is well described by a low order, rather smooth, drug-mixture-input/drug-effect-output multidimensional surface, suggesting the possibility of personalized optimal drug mixtures in the near future.