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Chun-Hsien Chen

Associate Professor

Nanyang Technological University (NTU)

Singapore

Research Interests

About

Chun-Hsien Chen is an Associate Professor at Nanyang Technological University in Singapore. His research areas include cognitive workload recognition, multimodal fusion frameworks, and eye-tracking analytics, along with human-centred design for safety in maritime systems. He has published recent articles focusing on the cognitive effects of stress in text processing and innovative methodologies for spatial layout design.

Articles (21)

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2025

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2022

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2022

Collaborators (6)

Zuoxu Wang

Assistant Professor

Beihang University

CHINA

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Xiaoqing Yu

Nanyang Technological University

SINGAPORE

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Mengtao Lyu

Georgia Institute of Technology

UNITED STATES

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Xiaoyi Shen

Associate Professor

Nanyang Technological University (NTU)

SINGAPORE

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Chelsea Ng

Project Assistant Professor

University of Tokyo

JAPAN

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Xun Xu

Professor

University of Auckland

NEW ZEALAND

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Chun-Hsien Chen

Research Interests

About

Articles (21)

Human operators’ cognitive workload recognition with a dual attention-enabled multimodal fusion framework

How Do Stress Situations Affect Higher-Level Text Processing in L1 and L2 Readers? An Eye-Tracking Study

An Effective Photoplethysmography Denosing Method Based on Diffusion Probabilistic Model

A robust operators’ cognitive workload recognition method based on denoising masked autoencoder

Autoencoder-enabled eye-tracking data analytics for objective assessment of user preference in humanoid robot appearance design

Human-centred design and evaluation to enhance safety of maritime systems: A systematic review

VALIO: Visual attention-based linear temporal logic method for explainable out-of-the-loop identification

Graph-enabled cognitive digital twins for causal inference in maintenance processes

Incorporating supply and production digital twins to mitigate demand disruptions in multi-echelon networks

A digital twin-based decision support approach for AGV scheduling

A procedural approach based on cellular automata for the generation of spatial layout designs

An Adaptive Multihop Branch Ensemble-Based Graph Adaptation Framework With Edge-Cloud Orchestration for Condition Monitoring

A Machine Learning-Based Approach for Multi-AGV Dispatching at Automated Container Terminals

Hybrid sensing-based approach for the monitoring and maintenance of shared manufacturing resources

Artificial intelligence-enabled non-intrusive vigilance assessment approach to reducing traffic controller’s human errors

A hypergraph-based approach for context-aware smart product-service system configuration

A machine learning-based iterative design approach to automate user satisfaction degree prediction in smart product-service system

Achieving Knowledge-as-a-Service in IIoT-driven smart manufacturing: A crowdsourcing-based continuous enrichment method for Industrial Knowledge Graph

An Adaptive Parallel Feature Learning and Hybrid Feature Fusion-Based Deep Learning Approach for Machining Condition Monitoring

Design of digital twin applications in automated storage yard scheduling

Requirement-driven evolution and strategy-enabled service design for new customized quick-response product order fulfillment process

Collaborators (6)

Zuoxu Wang

Xiaoqing Yu

Mengtao Lyu

Xiaoyi Shen

Chelsea Ng

Xun Xu

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