Hongtian Chen (0000-0002-8600-9668)

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Hongtian Chen received the B.S. and M.S. degrees in School of Electrical and Automation Engineering from Nanjing Normal University, China, in 2012 and 2015, respectively; and he received the Ph.D. degree in College of Automation Engineering from Nanjing University of Aeronautics and Astronautics, China, in 2019.

He had ever been a Visiting Scholar at the Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Germany, in 2018. Now he is a Post-Doctoral Fellow with the Department of Chemical and Materials Engineering, University of Alberta, Canada. His research interests include process monitoring and fault diagnosis, data mining and analytics, machine learning, and quantum computation; and their applications in high-speed trains, new energy systems, and industrial processes.

Dr. Chen was a recipient of the Grand Prize of Innovation Award of Ministry of Industry and Information Technology of the People's Republic of China in 2019, the Excellent Ph.D. Thesis Award of Jiangsu Province in 2020, and the Excellent Doctoral Dissertation Award from Chinese Association of Automation (CAA) in 2020. He currently serves as Associate Editor and Guest Editor of a number of scholarly journals such as IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, and IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE.

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Shanghai Jiao Tong University: Shanghai, Shanghai, China, CN

2023-02-01 to present | Professor (Automation of Department)

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Hongtian Chen

https://orcid.org/0000-0002-8600-9668

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Employment (2)

Shanghai Jiao Tong University: Shanghai, Shanghai, China, CN

University of Alberta: Edmonton, AB, CA

Education and qualifications (1)

Nanjing University of Aeronautics and Astronautics: Nanjing, Jiangsu, CN

Professional activities (3)

Robotics, Control and Automation Engineering: Changchun, CN

IEEE Transactions on Neural Networks and Learning Systems: USA, US

IEEE Transactions on Instrumentation and Measurement: USA, US

Works (50 of 128)

A Cooperative Heterogeneous System Design of Unmanned Aerial and Surface Vehicles

A Deep Echo State Network with Scaling Factor Activation Functions for Fault Diagnosis of Electrical Drive Systems

A DRL-Based Adaptive Control Design for a Class of Nonlinear Systems With Mismatched Disturbances: From Algorithm to Application

A Noval Channel Pruning Lightweight Pig Face Detection Method Based on Augment Group Diverse Attention Mechanism

Adaptive Reconfigurable Fault-Tolerant Control of Multi-USVs With Actuator Magnitude and Rate Faults

Visionary Policy Iteration for Continuous Control

Simultaneous Fault Diagnosis and Size Estimation Using Multitask Federated Incremental Learning

Data-driven Detection of Hot Spots in Photovoltaic Modules Using Information Fusion

Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control

A Latent Representation Generalizing Network for Domain Generalization in Cross-Scenario Monitoring

A Lightweight Pig Face Recognition Method Based on Efficient Mobile Network and Horizontal Vertical Attention Mechanism

A Novel CVAE-Based Sequential Monte Carlo Framework for Dynamic Soft Sensor Applications

A Physical-Feature Interactive Expansion-Based Fault Diagnosis Method With Applications to Marine Current Turbines

A Physics-Guided Wavelet Feature Extraction Method for Fault Diagnosis of Thruster Blades

A Segmented Iterative Learning Scheme-Based Distributed Fault Estimation for Switched Interconnected Nonlinear Systems

A Simultaneous Diagnosis Approach for Power Switch, Grid-Side Current Sensor, and DC-Link Voltage Sensor Faults in Single-Phase Three-Level Rectifiers

A Target Tracking Guidance for Unmanned Surface Vehicles in the Presence of Obstacles

A Two-Stage Fault Diagnosis Method With Rough and Fine Classifiers for Phased Array Radar Transceivers

Asynchronous Deconvolution Filtering for 2-D Markov Jump Systems With Packet Loss Compensation

Comprehensive Diagnosis Strategy for Power Switch, Grid-Side Current Sensor, DC-Link Voltage Sensor Faults in Single-Phase Three-Level Rectifiers

Counterfactual Covariate Causal Discovery on Nonlinear Extremal Quantiles

Day-Ahead Probabilistic Load Forecasting: A Multi-Information Fusion and Noncrossing Quantiles Method

Dynamic Output Feedback Fault-Tolerant Control for Switched Vehicle Active Suspension Delayed Systems

Explainable Fault Diagnosis Using Invertible Neural Networks—Part I: A Left Manifold-Based Solution

Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning

Fault Diagnosis for Multi-Phase Inverters: A Telescoping Modulus Approach With Convolutional Neural Networks

Large-Scale Data-Driven Optimization in Deep Modeling With an Intelligent Decision-Making Mechanism

Performance-Based Hierarchical Fault-Tolerant Control for Closed-Loop Systems With Multiplicative Faults: A Data-Driven Design Method

Quality-Oriented Efficient Distributed Kernel-Based Monitoring Strategy for Nonlinear Plant-Wide Industrial Processes

Saturation-Tolerant Tunnel Prescribed Control for Vessel-Train Formation of Underactuated MSVs

Simultaneous Diagnosis of Open-Switch and Current Sensor Faults of Inverters in IM Drives Through Reduced-Order Interval Observer

Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives

Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multiprocessor Implementation

Switched Command-Filtered-Based Adaptive Fuzzy Output-Feedback Funnel Control for Switched Nonlinear MIMO-Delayed Systems

Event-Based H∞ Tracking Control for the T-S Fuzzy-Based SP-IPT System With Coil Misalignment

Terminal Line-of-Sight Angle-Constrained Target Tracking Guidance for Unmanned Surface Vehicles

Robust Distributed Cooperative Rendezvous Control for Heterogeneous Marine Vehicles Using Model Predictive Control

Dynamic Weighted Slow Feature Analysis-based Fault Detection for Running Gear Systems of High-speed Trains

Online Knowledge Distillation-Based Multiscale Threshold Denoising Networks for Fault Diagnosis of Transmission Systems

Event-triggered Asynchronous Distributed MPC for Multi-Quadrotor Systems with Communication Delays

Distributed Process Monitoring for Multiagent Systems Through Cognitive Learning

Reinforcement Learning in Process Industries: Review and Perspective

A Hierarchical Soft-Sensor Using Spatiotemporal Information Transformation and ARMA With Application in Wastewater Treatment

A Novel Adaptive SMO-Based Simultaneous Diagnosis Method for IGBT Open-Circuit Faults and Current Sensor Incipient Faults of Inverters in PMSM Drives for Electric Vehicles

A Reduced-Order Observer-Based Method for Simultaneous Diagnosis of Open-Switch and Current Sensor Faults of a Grid-Tied NPC Inverter

An Active Contour Model Based on Local Pre-Piecewise Fitting Bias Corrections for Fast and Accurate Segmentation

ConvLSTM and Self-Attention Aided Canonical Correlation Analysis for Multioutput Soft Sensor Modeling

Fault-Tolerant Soft Sensors for Dynamic Systems

Hierarchical Graph Convolutional Networks With Latent Structure Learning for Mechanical Fault Diagnosis

Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains

Peer review (17 reviews for 11 publications/grants)