World's Best Scientists 2026 revealed!

Overview

Kap Luk Chan is affiliated with Nanyang Technological University in Singapore. Their research primarily focuses on the field of medicine, with a substantial emphasis on infectious diseases, immunology, public health, epidemiology, and molecular biology.

The scientist's frequent research topics include:

  • Mosquito-borne diseases and control
  • SARS-CoV-2 and COVID-19 research
  • Viral infections and vectors
  • COVID-19 clinical research studies
  • Viral infections and outbreaks research
  • Immune responses and vaccinations
  • Vaccine coverage and hesitancy

Kap Luk Chan has published articles in various scientific venues, with multiple contributions to:

  • Faculty Opinions - Post-Publication Peer Review of the Biomedical Literature
  • Viruses
  • bioRxiv (Cold Spring Harbor Laboratory)
  • EBioMedicine
  • Research Square

Some recent publications include:

  • The Effects of Pre-Existing Antibodies on Live-Attenuated Viral Vaccines, 2020, Viruses
  • The association of obesity and severe dengue: possible pathophysiological mechanisms, 2020, Journal of Infection
  • TMEM41B and VMP1 modulate cellular lipid and energy metabolism for facilitating dengue virus infection, 2022, PLoS Pathogens
  • Adverse effects following anti-COVID-19 vaccination with mRNA-based BNT162b2 are alleviated by altering the route of administration and correlate with baseline enrichment of T and NK cell genes, 2022, PLoS Biology
  • Dysregulated metabolism underpins Zika-virus-infection-associated impairment in fetal development, 2021, Cell Reports

Frequent collaborators in Kap Luk Chan's research include:

  • Eng Eong Ooi
  • Eugenia Z. Ong
  • Jenny G. Low
  • Clara WT Koh
  • Justin S. G. Ooi

Best Publications

  • Face recognition by support vector machines

    Guodong Guo;S.Z. Li;Kapluk Chan

  • Support vector machines for face recognition

    Guodong Guo;Stan Z. Li;Kap Luk Chan

  • ECG signal conditioning by morphological filtering

    Yan Sun;Kap Luk Chan;Shankar Muthu Krishnan

  • Characteristic wave detection in ECG signal using morphological transform

    Yan Sun;Kap Luk Chan;Shankar Muthu Krishnan

  • Texture decomposition by harmonics extraction from higher order statistics

    Yong Huang;Kap Luk Chan

  • Video Tracking Using Learned Hierarchical Features

    Li Wang;Ting Liu;Gang Wang;Kap Luk Chan

  • EM algorithms for Gaussian mixtures with split-and-merge operation

    Zhihua Zhang;Chibiao Chen;Jian Sun;Kap Luk Chan

  • Extraction of Brain Tumor from MR Images Using One-Class Support Vector Machine

    J. Zhou;K.L. Chan;V.F.H. Chong;S.M. Krishnan

  • Performance evaluation of the nearest feature line method in image classification and retrieval

    S.Z. Li;Kap Luk Chan;Changliang Wang

  • Bootstrapping SVM active learning by incorporating unlabelled images for image retrieval

    Lei Wang;Kap Luk Chan;Zhihua Zhang

  • Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association

    Bing Wang;Li Wang;Bing Shuai;Zhen Zuo

  • Tracklet Association with Online Target-Specific Metric Learning

    Bing Wang;Gang Wang;Kap Luk Chan;Li Wang

  • Direct minutiae extraction from gray-level fingerprint image by relationship examination

    Jinxiang Liu;Zhongyang Huang;Kap Luk Chan

  • Learning a multivariate Gaussian mixture model with the reversible jump MCMC algorithm

    Zhihua Zhang;Kap Luk Chan;Yiming Wu;Chibiao Chen

  • Machine learning techniques for business blog search and mining

    Yun Chen;Flora S. Tsai;Kap Luk Chan

  • Machine vision stereo matching

    Kap-Luk Chan

  • Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation

    Bing Wang;Gang Wang;Kap Luk Chan;Li Wang

  • Intestinal abnormality detection from endoscopic images

    S.M. Krishnan;X. Yang;K.L. Chan;S. Kumar

  • Classification of electrocardiogram using hidden Markov models

    W.T. Cheng;K.L. Chan

  • Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association Based on Large-Scale Datasets.

    Bing Wang;Kap Luk Chan;Li Wang;Bing Shuai

Frequent Co-Authors

Stan Z. Li
Stan Z. Li Westlake University
Jiang Liu
Jiang Liu Southern University of Science and Technology
Wei Huang
Wei Huang Shanghai Jiao Tong University
Joo-Hwee Lim
Joo-Hwee Lim Agency for Science, Technology and Research
Guodong Guo
Guodong Guo West Virginia University
Yap-Peng Tan
Yap-Peng Tan Nanyang Technological University
Shuicheng Yan
Shuicheng Yan National University of Singapore
Qingxiong Yang
Qingxiong Yang City University of Hong Kong
Damon Wing Kee Wong
Damon Wing Kee Wong Nanyang Technological University
Kian-Lee Tan
Kian-Lee Tan National University of Singapore

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