Mingdong Li
Mingdong Li
mlidr at connect dot ust dot hk

I am a Research Scientist at the Humanoid Lab of Anker Innovations, working on robot data systems, multimodal manipulation, and tactile sensing. I received my Ph.D. in Robotics and Autonomous Systems from the Hong Kong University of Science and Technology (HKUST), supervised by Prof. Yiwen Wang.

Before joining HKUST, I received my M.Eng. from Zhejiang University in 2021 and B.Eng. from Tongji University in 2018, both in Mechanical Engineering.

My interests span brain-machine interfaces, NeuroAI, cognitive analysis, and robot learning. I study interpretable models of neural population coding and brain-inspired frameworks that connect biological and artificial intelligence.

CV/ 中文简历/ Google Scholar/ GitHub

Updates

  • Aug 2025 I passed my Ph.D. thesis examination.
  • Jun 2025 I gave invited talks at the Max Planck Institute for Biological Intelligence and the HKUST ECE Future Leader Seminar.
  • Feb 2025 Our paper on neural correlation integrated adaptive point-process filtering was accepted by TNSRE.
  • Feb 2025 I completed a postdoctoral networking tour at Heidelberg University and the Technical University of Munich.
  • Oct 2024 I was awarded a DAAD AInet Fellowship.
  • Apr 2024 Two papers were accepted to EMBC 2024, and I received the NextGen Scholar Award.
  • Aug 2023 We organized the 4th International Workshop on Neural Engineering & Rehabilitation.
  • Aug 2023 Our paper on cognitive-analysis-based key concept derivation was accepted by ESWA.

Publications

Abstract neural activityNER
Estimating Neural Representations Underlying Behaviors via Point Process Filtering in Brain-machine Interface Task Learning

Mingdong Li, Tianyi Hu, Zhiwei Song, Mingyi Wang, Shenghui Wu, Jieyuan Tan, Zixu Wang, Yiwen Wang

IEEE NER (Spotlight, top 5%)

Activities

Career

Research Scientist, Humanoid Lab, Anker Innovations · Apr 2025–Present

  • Robot data factory, storage systems, and cloud data management
  • Multimodal manipulation research for UMI using vision, language, and touch
  • Investigation, testing, and evaluation of tactile sensors

Academic Service & Teaching

Teaching Assistant: EMIA4110 Practical Machine Learning (Spring 2024); ELEC4130 Machine Learning on Images (Spring 2023).

Reviewer: JNE, TIV, ISBI, NER, and EMBC.

Selected Honors

  • DAAD AInet Fellow, 2024
  • IEEE EMBC NextGen Scholar Award, 2024
  • Zhejiang University Dissertation Year Scholarship, 2021
  • ZHEJIANG Lab International AI Competition, Excellence Prize, 2019

Colophon

Website style inspired by Cheng Chi's homepage. Edited by ChatGPT.