Haofeng Chen

Haofeng Chen

Post-doc at Czech Technical University in Prague. Focus on large-area robotic tactile sensors.

I am now working at Czech Technical University in Prague as a postdoc. I earned my doctoral degree from the Science Island Graduate School at the University of Science and Technology of China in Hefei, Anhui Province. My supervisor is researcher Wang Xiaojie. I graduated from the School of Mechanical and Electrical Engineering of Xi’an University of Electronic Science and Technology of China in Xi’an, Shaanxi Province. Including co-authorship, I have published 10+ academic papers with 。

My research interest includes:

  • Large-area Tactile perception
  • Biomedical image and signal processing
  • Electrical impedance tomography (EIT)
  • Human-robot interaction
  • Deep/machine learning
  • Multi-modal sensor fusion
  • Inverse problem

🎓 Educations

  • 2018.09 - 2024.06, University of Science and Technology of China, Anhui China.
  • 2014.09 - 2018.06, , Xidian University, Xi’an China.

🔥 News

  • 2026.04.07, Invited as a Speaker at the RoboSoft 2026 Workshop — “Electrical Impedance Tomography-Based Tactile Sensing: Bridging Soft Robotics and Artificial Touch”, Kanazawa, Japan. [Workshop]
  • 2026.01.22, I visited the laboratory of Prof. Robert Babuška at Delft University of Technology (TU Delft), focusing on learning-based control and robotics research.
  • 2026.01.11-03.14, I am currently visiting Eindhoven University of Technology, collaborating with Hyosang Lee on Electrical Impedance Tomography (EIT)–based tactile sensing.
  • 2025.10.19–10.26, I attended the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025).
  • 2024.07.31, I arrived in Prague safely✈️.
  • 2024.06.27, I attended the 24th International Conference on Biomedical Applications of Electrical Impedance Tomography (EIT 2024).
  • 2024.06.11, I attended the 2024 postgraduate commencement ceremony and received the Outstanding Graduate award from Anhui Province. [Report1]
  • 2024.05.24, I passed my PhD defense🎉.
  • 2024.05, Chen Haofeng participated in the 2024 IEEE International Conference on Robotics and Automation and gave an online oral report.
  • 2023.10, Wang Xiaojie and Chen Haofeng participated in the 2023 16th China Conference on Intelligent Robots (CCIR). [Reports][Related reports 1][Related reports 2]
  • 2022.12, Haofeng Chen and Xuanxuan Yang participated in the 2022 IEEE ROBIO International Conference. [Report]
  • 2021.07, Haofeng Chen, Gang Ma, and Xuanxuan Yang won the “Internet +” Innovation and Entrepreneurship Competition Anhui Province Gold Medal, the Second Prize of the Science Island Graduate Innovation and Entrepreneurship Competition and other honors. [Report]
  • 2019.12, Haofeng Chen and Peng Wang participated in the “USTC Campus Algorithm Invitational Competition” and won the second prize. [Report]

📝 Publications

English

IEEE ICRA 2024
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  • H. Chen, X. Yang, G. Ma, Y. Wang, and X. Wang, “Enhancing Tactile Sensing in Robotics: Dual-Modal Force and Shape Perception with EIT-based Sensors and MM-CNN,” in 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024: IEEE, pp. 3311-3317.
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ACS Appl. Electron. Mater. 2023
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  • H. Chen, X. Yang, J. Geng, G. Ma, and X. Wang, “A Skin-Like Hydrogel for Distributed Force Sensing Using an Electrical Impedance Tomography-Based Pseudo-Array Method,” ACS Applied Electronic Materials, vol. 5, no. 3, pp. 1451-1460, 2023/03/28 2023. (JCR:Q2; IF:4.7)
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  • G. Ma, H. Chen, S. Dong, X. Wang, and S. Zhang, “PDCISTA-Net: Model-Driven Deep Learning Reconstruction Network for Electrical Impedance Tomography-Based Tactile Sensing,” IEEE Transactions on Industrial Informatics, vol. 21, no. 1, pp. 633 - 642, 2024.
  • Ma, G., Chen, H., Dong, S., Wang, X., & Zhang, S. (2024). PDCISTA-net: Model-driven deep learning reconstruction network for electrical impedance tomography-based tactile sensing. IEEE Transactions on Industrial Informatics.
  • X. Yang, Y. Zhang, H. Chen, G. Ma, and X. Wang, “A Physics-Embedded Dual-Learning Imaging Framework for Electrical Impedance Tomography,” Neural Networks, vol. 197, no. 108464, p. 108464, 2025.
  • H. Chen, Yang X, Ma G, et al. Correcting Non-Uniform Sensitivity in EIT Tactile Sensing via Jacobian Vector Approximation [J]. IEEE Robotics and Automation Letters, 2024, 9(3): 2335 - 2342.
  • H. Chen, X. Yang, G. Ma et al., “Enhancing Tactile Sensing in Robotics: Dual-Modal Force and Shape Perception with EIT-based Sensors and MM-CNN,” in 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024, pp. 3311-3317.
  • H. Chen, Yang X, Geng J, et al. A Skin-Like Hydrogel for Distributed Force Sensing Using an Electrical Impedance Tomography-Based Pseudo-Array Method [J]. ACS Applied Electronic Materials, 2023, 5(3): 1451-1460.
  • Ma G, H. Chen, Wang P, et al. A two-electrode frequency-scan system for gesture recognition [J]. Mechatronics, 2023, 94: 103039.
  • H. Chen, Yang X, Geng J, et al. A convolutional neural network-based electrical impedance tomography method for skin-like hydrogel sensing [C]// 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), 5-9 Dec. 2022. 2022: 178-183.
  • Ma G, H. Chen, Wang P, et al. Multi-Frame Constrained Block Sparse Bayesian Learning for Flexible Tactile Sensing Using Electrical Impedance Tomography [J]. IEEE Transactions on Computational Imaging, 2022, 8: 438-448.
  • H. Chen, Yang X, Wang P, et al. A Large-Area Flexible Tactile Sensor for Multi-Touch and Force Detection Using Electrical Impedance Tomography [J]. IEEE Sensors Journal, 2022, 22(7): 7119-7129.
  • Wang P, H. Chen, Ma G, et al. Deep learning scheme PSPNet for electrical impedance tomography [C]// Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2021. SPIE, 2021: 223-230.
  • H. Chen, Ma G, Wang P, et al. A Bio-Impedance Analysis Method Based on Human Hand Anatomy for Hand Gesture Recognition [J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-10.

🏅 Honors and Awards

  • 2023, Awarded the Excellent Paper Award in the 16th China Intelligent Robot Conference.
  • 2023, Awarded Yuequn Excellence Scholarship for exemplary performance in moral and academic performances.
  • 2021, Awarded the Gold Award in the Seventh “Internet+” College Students Innovation and Entrepreneurship Competition in Anhui Province.
  • 2021, Awarded the Second Prize in the First Graduate Innovation and Entrepreneurship Competition of the Science Island Graduate Double Innovation and Entrepreneurship Center.
  • 2020, Awarded the Second Prize in the 7th “Catch” National College Student Internet Software Design Competition.
  • 2019, Awarded the Second Prize in the Big Data of Smart City Innovative Applications University of Science and Technology of China Campus Algorithm Invitational Competition.
  • 2019 to 2023, USTC The First Prize Scholarship.

💬 Conferences

  • 2026.04, RoboSoft 2026 Workshop — “Electrical Impedance Tomography-Based Tactile Sensing: Bridging Soft Robotics and Artificial Touch”, Kanazawa, Japan, Invited Speaker. [Workshop]
  • 2025.10, 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), Hangzhou, China.
  • 2024.05, 2024 IEEE International Conference on Robotics and Automation, Yokohama, Japan Presentation Screenshot
  • 2023.10, 16th China Conference on Intelligent Robots, Shanghai, oral presentation Reference 参考
  • 2022.12, 2022 IEEE International Conference on Robotics and Biomimetics, Xishuangbanna, Yunnan, oral presentation Reference

🏭 Internships

  • Visiting Researcher, Eindhoven，2026.01.11-03.14

Visiting researcher at Eindhoven University of Technology, working with Hyosang Lee on EIT-based tactile sensors, including sensing material development and tactile modeling for large-area flexible systems.