• I am a research fellow at Nanyang Technological University (NTU), Singapore.
• My research lies in industrial artificial intelligence and medical image analysis.
• I obtained my PH.D. degree from Zhejiang University (ZJU) in July 2021. If you are interested in doing research with me, please send me an email: ichbinwk [at] gmail [dot] com.

Recent News

• [9/2023] Our paper was published by IEEE Transactions on Industrial Informatics (IF=12.3) titled “Deep Pattern Matching for Energy Consumption Prediction of Complex Structures in Ecological Additive Manufacturing”.
• [5/2023] Our paper was accepted by Journal of Manufacturing Systems (IF=12.1) titled “Contrastive learning-based semantic segmentation for In-situ stratified defect detection in additive manufacturing”.
• [1/2023] Our paper was accepted by Journal of Cleaner production (IF=11.1) titled “Towards low-budget energy efficiency design in additive manufacturing based on variational scale-aware transformer”.
• [10/2022] Our paper was accepted by Computers & Industrial Engineering (IF=7.9) titled “Energy Consumption Modeling and Prediction for Additive Manufacturing based on Multimodal Fusion and Inter-layer Consistency”.
• [5/2022] Our paper was accepted by Journal of Manufacturing Processes (IF=6.2) titled “Energy Efficiency Design for Eco-friendly Additive Manufacturing based on Multimodal Attention Fusion”.
• [4/2022] Our paper was accepted by Measurement (IF=5.6) titled “Additive Manufacturing Energy Consumption Measurement and Prediction in Fabricating Lattice Structure based on Recallable Multimodal Fusion Network”.
• [12/2022] Our paper was accepted by Pattern Recognition (IF=8.0) titled “A novel DAGAN for synthesizing garment images based on design attribute disentangled representation”.
• [9/2022] Our paper was accepted by CIRP Journal of Manufacturing Science and Technology (IF=4.8) titled “Towards support-free design for 3D printing of thin-walled composite based on stratified manufacturability reinforcement”.
• [10/2021] Our paper was accepted by International Journal of Advanced Manufacturing Technology (IF=3.4) titled “Antivibration and energy efficiency design for large stroke additive manufacturing based on dynamic trajectory adaption”.

Honors & Awards

• China Nuclear Power Scholarship
• Lu Zengqi Excellent Doctoral Student Award of the State Key Laboratory of Fluid and Power of Zhejiang University (only 10 students selected from college)
• Academic Scholarship of Zhejiang University
• Excellent Student Awards of Zhejiang University
• Outstanding Graduate Student of Zhejiang University
• Outstanding Graduate Cadre of Zhejiang University

Teaching Experiences

• 2021 to present, co-supervised 2 master students, 4 doctoral students, Biomedical Engineering, PolyU
• 2020 to 2021, co-supervised 2 master’s students and 3 doctoral students, Mechanical Design and Theory, ZJU
• 2017 Fall , Engineering graphics
• 2017 Spring , Engineering graphics

Professional Activities

• Journal Reviews

  • IEEE transactions on medical imaging

  • IEEE transactions on automation science and engineering