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Engineering and Technology

D-Index
40
Citations
6830
World Ranking
7287
National Ranking
92

Overview

Geok Soon Hong is affiliated with the National University of Singapore in Singapore. Their research spans the field of engineering, with a focus on mechanical engineering, biomedical engineering, control and systems engineering, automotive engineering, and industrial and manufacturing engineering.

Their main research topics include:

  • Advanced machining processes and optimization
  • Advanced surface polishing techniques
  • Photoacoustic and ultrasonic imaging
  • Nanoplatforms for cancer theranostics
  • Photodynamic therapy research studies
  • Mineral processing and grinding
  • Fault detection and control systems

Geok Soon Hong has published in a variety of venues with differing focuses, reflecting the interdisciplinary nature of their work. These venues include:

  • Angewandte Chemie International Edition
  • Rapid Prototyping Journal
  • Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
  • Manufacturing Letters
  • International Journal of Machine Learning and Computing

Recent papers authored or co-authored by Geok Soon Hong highlight applications and advancements across engineering and biomedical fields. Select publications include:

  • "Boosting Photoacoustic Effect via Intramolecular Motions Amplifying Thermal-to-Acoustic Conversion Efficiency for Adaptive Image-Guided Cancer Surgery," 2021, published in Angewandte Chemie International Edition

Geok Soon Hong has collaborated frequently with other researchers, including:

  • Heting Hong
  • Chengwen Luo
  • Xingchen Duan
  • Yi Zeng
  • Xiaoyan Zheng

The range of their published research exhibits work related to improving manufacturing processes, monitoring systems, and biomedical imaging techniques. Example publications in related topics include studies on data fusion analysis for additive manufacturing process monitoring and energy storage system management strategies for electric vehicles.

Best Publications

  • An Overview of 3D Printing Technologies for Food Fabrication

    Jie Sun;Weibiao Zhou;Dejian Huang;Jerry Y. H. Fuh

  • Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results

    Kunpeng Zhu;Yoke San Wong;Geok Soon Hong

  • A Review on 3D Printing for Customized Food Fabrication

    Jie Sun;Zhuo Peng;Weibiao Zhou;Jerry Y.H. Fuh

  • Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring

    Yingjie Zhang;Geok Soon Hong;Dongsen Ye;Kunpeng Zhu

  • A Cost-Sensitive Deep Belief Network for Imbalanced Classification

    Chong Zhang;Kay Chen Tan;Haizhou Li;Geok Soon Hong

  • Defect detection in selective laser melting technology by acoustic signals with deep belief networks

    Dongsen Ye;Geok Soon Hong;Yingjie Zhang;Kunpeng Zhu

  • Multi-category micro-milling tool wear monitoring with continuous hidden Markov models

    Kunpeng Zhu;Yoke San Wong;Geok Soon Hong

  • 3D food printing an innovative way of mass customization in food fabrication

    Jie Sun;Zhuo Peng;Liangkun Yan;Jerry Ying Hsi Fuh

  • Nozzle condition monitoring in 3D printing

    Yedige Tlegenov;Geok Soon Hong;Wen Feng Lu

  • Multiclassification of tool wear with support vector machine by manufacturing loss consideration

    J Sun;M Rahman;Y.S Wong;G.S Hong

  • In situ monitoring of selective laser melting using plume and spatter signatures by deep belief networks.

    Dongsen Ye;Jerry Ying Hsi Fuh;Yingjie Zhang;Geok Soon Hong

  • Profile error compensation in fast tool servo diamond turning of micro-structured surfaces

    De Ping Yu;Geok Soon Hong;Yoke San Wong

  • Machine Selection Rules in a Dynamic Job Shop

    V. Subramaniam;G. K. Lee;T. Ramesh;G. S. Hong

  • Flank wear measurement by a threshold independent method with sub-pixel accuracy

    W.H. Wang;G.S. Hong;Y.S. Wong

  • Flank wear measurement by successive image analysis

    W. Wang;Y. S. Wong;G. S. Hong

  • Series damper actuator: a novel force/torque control actuator

    Chee-Meng Chew;Geok-Soon Hong;Wei Zhou

  • Bayesian-inference-based neural networks for tool wear estimation

    Jianfei Dong;K. V. R. Subrahmanyam;Yoke San Wong;Geok Soon Hong

  • Sensor fusion for online tool condition monitoring in milling

    W. H. Wang;G. S. Hong;Y. S. Wong;K. P. Zhu

  • Optimized tool path generation for fast tool servo diamond turning of micro-structured surfaces

    De Ping Yu;De Ping Yu;Sze Wei Gan;Yoke San Wong;Geok Soon Hong

  • In-situ monitoring of laser-based PBF via off-axis vision and image processing approaches

    Yingjie Zhang;Jerry Y.H. Fuh;Dongsen Ye;Geok Soon Hong

  • Using neural network for tool condition monitoring based on wavelet decomposition

    G.S. Hong;M. Rahman;Q. Zhou

Frequent Co-Authors

Yoke San Wong
Yoke San Wong National University of Singapore
Jerry Y. H. Fuh
Jerry Y. H. Fuh National University of Singapore
Marcelo H. Ang
Marcelo H. Ang National University of Singapore
Wen Feng Lu
Wen Feng Lu National University of Singapore
Haizhou Li
Haizhou Li Chinese University of Hong Kong, Shenzhen
Chee-Kong Chui
Chee-Kong Chui National University of Singapore
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
M. Rahman
M. Rahman National University of Singapore
Weibiao Zhou
Weibiao Zhou National University of Singapore
Sunan Huang
Sunan Huang National University of Singapore

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