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Dr Chen Zhenghua is an Early Career Investigator at A*STAR’s Centre for Frontier AI Research (CFAR), and a Part-time Lecturer at Nanyang Technological University, òòò½Íø(NTU Singapore). He received his B.Eng. degree from the University of Electronic Science and Technology of China (UESTC) and Ph.D. degree from NTU Singapore.

Dr Chen also serves as a PI and Co-PI for several research grants, including A*STAR Career Development Award (A*STAR CDA), Advanced Manufacturing and Engineering (AME) Programmatic, Young Individual Research Grant (YIRG), AI òòò½Íø(AISG) Research Grant, etc. He has won many competitive awards, such as First Place Winner for CVPR 2021 UG2+ Challenge, A*STAR CDA, First Runner-Up Award for Grand Challenge at IEEE VCIP 2020, Best Paper Award at IEEE ICIEA 2022 and IEEE SmartCity 2022, etc. He is also the Associate Editor-in-Chief for Neurocomputing and Associate Editor for journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Industrial Cyber-Physical Systems, IEEE Sensors Journal, and Springer Discover Artificial Intelligence. He is currently the Chair of IEEE Sensors Council òòò½ÍøChapter.

Research Area:

• Efficient Deep Learning
  - Domain Adaptation/Generalisation
  - Self-supervised Learning
  - Knowledge Distillation
  - Federated Learning
• Time Series Data Analytics
  - Machine Fault Diagnosis and Prognosis (e.g., vibration sensors)
  - Human Activity Recognition (e.g., wearable sensors, WiFi CSI, etc.)
  - Sleep Stage Classification (e.g., EEG, ECG, etc.)

On-going Projects:

• YIRG: Deep Model Compression for Time Series Data Analytics via Knowledge Distillation (PI)
• AISG: Self-aware Continuously Learning Models (Co-I)