ZHENGHUA CHEN
Scholar

ZHENGHUA CHEN

Google Scholar ID: WUgu3nwAAAAJ
Senior Lecturer (Associate Professor) at University of Glasgow, UK
Sensory Data AnalyticsTime SeriesFault DiagnosisActivity RecognitionTransfer Learning
Citations & Impact
All-time
Citations
12,859
 
H-index
52
 
i10-index
110
 
Publications
20
 
Co-authors
31
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Serving as Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence
  • - Chosen as Outstanding Associate Editor of IEEE Transactions on Industrial Informatics for 2024
  • - Two papers accepted by NeurIPS 2024
  • - One paper accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence
  • - One paper accepted by ICML 2024
  • - Serving as Associate Editor-in-Chief for Elsevier Neurocomputing
  • - Two papers accepted by AAAI 2024
  • - One paper accepted by IEEE Transactions on Neural Networks and Learning Systems
  • - One paper accepted by International Journal of Computer Vision
  • - One paper accepted by ICCV 2023
  • - Serving as Associate Editor for IEEE Transactions on Industrial Cyber-Physical Systems
  • - Serving as Associate Editor for IEEE Sensors Journal
  • - One paper accepted by IEEE Transactions on Mobile Computing
  • - One paper accepted by IEEE Transactions on Artificial Intelligence
Research Experience
  • - Senior Scientist II (Principal Investigator, Lab Head, PhD advisor) at Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore
  • - Early Career Investigator at Centre for Frontier AI Research (CFAR), A*STAR, Singapore
  • - Part-time Lecturer at Nanyang Technological University (NTU), Singapore
  • - Research Fellow at NTU, supervised by IEEE Fellow, IFAC Fellow, Prof. Lihua Xie
Education
  • - Bachelor's Degree: University of Electronic Science and Technology of China, 2011
  • - PhD's Degree: Nanyang Technological University (NTU), Singapore, 2017, supervised by Prof. Yeng Chai Soh
Background
  • - Research Interests: Time series data analytics, representation learning, domain adaptation, knowledge distillation, etc.
  • - Applications: Wireless sensing, fault diagnosis & remaining useful life prediction, wearable healthcare, and beyond
  • - Position: Senior Lecturer (Associate Professor) at University of Glasgow, UK
  • - Looking for highly motivated students to join the team, including PhD students (full scholarship, CSC scholarship, ARAP A*STAR joint scholarship, etc.), postdoc (no direct funding support, but can support to apply for postdoc fellowships like Newton International Fellowship and Marie Curie Fellowship), visiting students/scholars