B. Lan MSc (Bangyu)

PhD Candidate
EEMCS-EE-RAM
b.lan@utwente.nl
+31534899183
Business card

Bangyu Lan (Student Member, IEEE) received the Bachelor's degree in Electronic Information Engineering from the Harbin Institute of Technology, Weihai, China, in 2020, and the M.Sc. degree in Electrical Engineering (Robotics and Mechatronics track) from the University of Twente, Enschede, Netherlands, in 2024. He had one year of research experience at the Rochester Institute of Technology, U.S.A., where he worked on multimodal deep learning, focusing on computer vision and image processing. He is currently pursuing a Ph.D. degree in Intelligent Robotics at the University of Twente. His research interests include robotics imaging, robotic prostheses, and intelligent robotics, with a focus on the development of deep learning techniques for interpreting raw signals in robotic applications.

Expertise

  • Computer Science

    • Deep Learning Method
    • Electromyography
    • Robotics
    • Activation Pattern
    • Robotics Application
    • Measurement Approach

  • Engineering

    • Self-Attention

  • Medicine and Dentistry

    • Echography

Organisations

Publications

2026

Self-derived Motion Features from sEMG for Inferring 3D Forearm Trajectories (2026)IEEE transactions on biomedical engineering (E-pub ahead of print/First online). Lan, B., Sun, D., Tamadon, I. & Niu, K.https://doi.org/10.1109/TBME.2026.3686312

2025

Hierarchical Transformer Fusion of Gaze Attention and Muscle Activity for Forearm Movement Estimation (2025)IEEE transactions on biomedical engineering, 72(12), 3674-3681. Lan, B., Stramigioli, S. & Niu, K.https://doi.org/10.1109/TBME.2025.3575202Endoscopic sleeve gastroplasty video assessment: Do technical features influence ESG integrity and weight loss at 6 and 12 months follow-up? (2025)Surgical endoscopy, 39(10), 6819-6827. Vannucci, M., Sun, D., Lan, B., Niu, K., Riba, A., Heikens, N., Fehervari, M., Rodríguez-Luna, M. R. & Perretta, S.https://doi.org/10.1007/s00464-025-12049-wSex-based differences in musculoskeletal pain among surgeons: an international survey (2025)Surgical endoscopy, 39(7), 4217-4224. Vannucci, M., Rodríguez-Luna, M. R., Lan, B., Niu, K., Lapergola, A., Reitano, E., Zorzetti, N., Goglia, M., Keller, D. S. & Perretta, S.https://doi.org/10.1007/s00464-025-11796-0Automatic Robotic Ultrasound for 3D Musculoskeletal Reconstruction: A Comprehensive Framework (2025)Technologies, 13(2). Article 70. Sun, D., Cappellari, A., Lan, B., Abayazid, M., Stramigioli, S. & Niu, K.https://doi.org/10.3390/technologies13020070A Preliminary Study of the Pulse Oximetry for Early Breast Cancer Detection (2025)[Contribution to conference › Abstract] 10th Dutch Biomedical Engineering Conference, BME 2025. Lan, B., Juffermans, E., Tamadon, I. & Niu, K.Automatic Robotic Ultrasound Scanning for Muscle Segmentation and Reconstruction (2025)[Contribution to conference › Abstract] 10th Dutch Biomedical Engineering Conference, BME 2025. Sun, D., Cappellari, A., Lan, B. & Niu, K.Muscle Activation–Deformation Correlation in Dynamic Arm Movements (2025)J: multidisciplinary scientific journal, 8(1). Article 5. Lan, B. & Niu, K.https://doi.org/10.3390/j8010005The Study of Relationship Between Muscle Activation and Deformation During Arm Motion (2025)[Contribution to conference › Abstract] 10th Dutch Biomedical Engineering Conference, BME 2025. Lan, B. & Niu, K.Deciphering Muscular Dynamics: A Dual-Attention Framework for Predicting Muscle Contraction from Activation Patterns (2025)IEEE journal of biomedical and health informatics, 29(9), 6510-6523. Lan, B., Krijnen, G., Stramigioli, S. & Niu, K.https://doi.org/10.1109/JBHI.2025.3562072

Research profiles

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