World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
6202
World Ranking
4526
National Ranking
72

Overview

Chien Chern Cheah is affiliated with Nanyang Technological University in Singapore and has contributed extensively to the fields of engineering and computer science. Their research spans multiple intersecting domains including physics and astronomy, with a significant focus on control and systems engineering, computer vision and pattern recognition, artificial intelligence, biomedical engineering, and atomic and molecular physics and optics.

The scientist's recent published work covers a range of topics from deep learning and robotics to construction automation and control systems. Notable papers include:

  • A Layer-Wise Theoretical Framework for Deep Learning of Convolutional Neural Networks (2022, IEEE Access)
  • Robot-Assisted Object Detection for Construction Automation: Data and Information-Driven Approach (2021, IEEE/ASME Transactions on Mechatronics)
  • BIM-based indoor mobile robot initialization for construction automation using object detection (2022, Automation in Construction)
  • Data-driven learning for robot control with unknown Jacobian (2020, Automatica)
  • Analytic Deep Neural Network-Based Robot Control (2022, IEEE/ASME Transactions on Mechatronics)

Cheah collaborates frequently with various coauthors, including:

  • Huu-Thiet Nguyen
  • Quang Minh Ta
  • Sitan Li
  • Shangke Lyu
  • Shu Miao

The majority of their publications appear in prominent venues such as:

  • IEEE/ASME Transactions on Mechatronics
  • IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
  • arXiv (Cornell University)
  • IEEE Access
  • Automatica

The scientist's primary research topics reflect their interdisciplinary approach, focusing on areas including:

  • Orbital Angular Momentum in Optics
  • Adaptive Control of Nonlinear Systems
  • Microfluidic and Bio-sensing Technologies
  • Micro and Nano Robotics
  • Advanced Vision and Imaging
  • Neural Networks and Applications
  • Robotics and Sensor-Based Localization

In summary, Chien Chern Cheah's work integrates advanced theory and applied methodologies across multiple engineering and computational fields, with a strong emphasis on robotics, control systems, and machine learning. Their research contributions are documented in multiple high-impact journals and conferences, supported by ongoing collaborations with several frequent coauthors.

Best Publications

  • Brief paper: Region-based shape control for a swarm of robots

    Chien Chern Cheah;Saing Paul Hou;Jean Jacques E. Slotine

  • Adaptive Tracking Control for Robots with Unknown Kinematic and Dynamic Properties

    C. C. Cheah;C. Liu;J. J. E. Slotine

  • Approximate Jacobian control for robots with uncertain kinematics and dynamics

    C.C. Cheah;M. Hirano;S. Kawamura;S. Arimoto

  • Adaptive Jacobian tracking control of robots with uncertainties in kinematic, dynamic and actuator models

    C.C. Cheah;C. Liu;J.J.E. Slotine

  • Learning impedance control for robotic manipulators

    Chien-Chern Cheah;Danwei Wang

  • Feedback control for robotic manipulator with an uncertain Jacobian matrix

    Chien Chern Cheah;Sadao Kawamura;Suguru Arimoto

  • Experimental comparison of torque control methods on an ankle exoskeleton during human walking

    Juanjuan Zhang;Chien Chern Cheah;Steven H. Collins

  • Brief Stability of hybrid position and force control for robotic manipulator with kinematics and dynamics uncertainties

    C. C. Cheah;S. Kawamura;S. Arimoto

  • Dynamic trapping and manipulation of biological cells with optical tweezers

    Xiang Li;Chien Chern Cheah;Songyu Hu;Dong Sun

  • Brief paper: Adaptive Jacobian vision based control for robots with uncertain depth information

    Chien Chern Cheah;Chao Liu;Jean Jacques E. Slotine

  • Adaptive Vision and Force Tracking Control for Robots With Constraint Uncertainty

    Chien Chern Cheah;S.P. Hou;Yu Zhao;J.-J.E. Slotine

  • Can a Simple Control Scheme Work for a Formation Control of Multiple Autonomous Underwater Vehicles

    S. P. Hou;Chien Chern Cheah

  • Passivity and Stability of Human–Robot Interaction Control for Upper-Limb Rehabilitation Robots

    Juanjuan Zhang;Chien Chern Cheah

  • Adaptive Neural Network Control of Robot Based on a Unified Objective Bound

    Xiang Li;Chien Chern Cheah

  • Adaptive Jacobian tracking control of rigid-link electrically driven robots based on visual task-space information

    Chao Liu;Chien Chern Cheah;Jean-Jacques E. Slotine

  • Region-Reaching Control of Robots

    C.C. Cheah;D.Q. Wang;Y.C. Sun

  • Multi-group coordination control for robot swarms

    R. Haghighi;C.C. Cheah

  • Approximate Jacobian adaptive control for robot manipulators

    C.C. Cheah;C. Liu;J.J.E. Slotine

  • Task-space adaptive control of robotic manipulators with uncertainties in gravity regressor matrix and kinematics

    H. Yazarel;C.C. Cheah

  • Observer-Based Optical Manipulation of Biological Cells With Robotic Tweezers

    Chien Chern Cheah;Xiang Li;Xiao Yan;Dong Sun

  • Feedback control for robotic manipulator with uncertain kinematics and dynamics

    C.C. Cheah;S. Kawamura;S. Arimoto

Frequent Co-Authors

Suguru Arimoto
Suguru Arimoto University of Toyama
Sadao Kawamura
Sadao Kawamura Ritsumeikan University
Danwei Wang
Danwei Wang Nanyang Technological University
Wei Ren
Wei Ren University of California, Riverside
Yeng Chai Soh
Yeng Chai Soh Nanyang Technological University
I-Ming Chen
I-Ming Chen Nanyang Technological University
Santosh Devasia
Santosh Devasia University of Washington

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