Education

• 2016-2020: BSc. in Katholieke Universiteit Leuven
• 2020~2022: MRes. Biomedical Engineering, National University of Singapore

Publications

• Lu, Z., Guo, H., Zhang, W., Yu, H, “GTac-Gripper: A Reconfigurable Under-Actuated Four-fingered Robotic Gripper with Tactile Sensing.” IEEE RA-L, 2022
• **Guo, H**., Lu, Z., Lyu, T., Yu, H., “GTac-Gripper V2 with Epicyclic Joints and Reconfigurability-Based Tactile Features Argumentation.” IEEE ICRA, 2023, rejected.
• Guo, H., Lyu, T., “BGCN: An EEG-based graphical classification Method for Parkinson’s Disease Diagnosis with Heuristic Connection Construction”, IEEE EMBS NER, 2023 (Top conference in Neural Engineering, co-first author, corresponding author)
• Dong, H., Zhu, K., **Guo, H**., “Design Analysis of Bio-inspired Multiple-locomotion Origami Robot.” IEEE RA-L, 2023, rejected.
• Dong, H., Guo, H., Yang, S., Qiu, C., Dai, J., Chen, I., “Theoretical Model Construction of Deformation-Force for Soft Grippers Part I: Co-rotational Modeling and Force Control for Design Optimization.” IEEE RA-L, 2023, revision and resubmit (available on Arxiv).
• Dong, H., Zheng, Z., Guo, H., Yang, S., Qiu, C., Dai, J., Chen, I., “Theoretical Model Construction of Deformation-Force for Soft Grippers Part II: Displacement Control Based Intrinsic Force Sensing.” IEEE RAL, 2023, revision and resubmit (available on Arxiv).

Peer-Reviewed Conference and Workshops:

• International Conference on Intelligent Robots and Systems (IROS Kyoto, 2022), Oct 2022

• RoboTac Workshop and poster, IROS, 2022: “GTac-Gripper: A Reconfigurable Under-Actuated Four-Fingered Robotic Gripper with Tactile Sensing,” Oct 2022

• Presentation and Poster, IEEE EMBS Neural Engineering Conference (NER Baltimore, 2023), “BGCN: An EEG-based graphical classification Method for Parkinson’s Disease Diagnosis with Heuristic Connection Construction”, Apr 2023

Work experience

• Dec 2022~Present: Research Assistant
  • Zhejiang University
  • Duties: Design of Multi-Modal Vision-Based Tactile Sensors for Dexterous Manipulation; Theoretical Modeling of Fin-ray Effect Gripper and Experimental Validation.
  • Supervisor: Professor Dong Huixu
• Summar 2023: Teaching Assistant
  • CIS Summar Research
  • Duties: Mentor 40 students to research audio/imaging processing, BMI, and MRI, providing guidance on their projects concerning EEG-based PD diagnosis, Compressed Sensing on MRI images, and the implementation of Deep Neural Networks for audio classification and Knee MRI Segmentation
  • Supervisor: Professor Neal K Bangerter, Imperial College London

Awards

• 2017-2018: First Prize of Academic Scholarship (3%, 2 times) & Winners for other Scholarship (2 times).

• 2018-2020: Tuition fee waiver from Katholieke Universiteit Leuven (KUL), 1/55.

Academic Activities

Reviewer for

• IEEE Robotics and Automation Society Letters (RA-L), 2 times.

• IEEE International Conference on Intelligent Robots and Systems (IROS), 2 times

• IEEE International Conference on Robotics and Automation (ICRA).

• IEEE/ASME Transactions on Mechatronics (top in Robotics), 3 times.

Mentoring

• Ziyi Zheng won the only Gold medal in the China Machinery Industry Outstanding Engineer Education Alliance “Exquisite Sculpture Cup” graduation design competition, with the project “Design of a Belt-Integrated Reconfigurable Gripper for Thin Object Grasping”