“Zwei Dinge erfüllen das Gemüt mit immer neuer und zunehmender Bewunderung und Ehrfurcht, je öfter und anhaltender sich das Nachdenken damit beschäftigt: Der bestirnte Himmel über mir und das moralische Gesetz in mir.”

🖺My Resume (English)

🖺简历 (中文)

📖 About me

[On Job Market].

I am a final-year Ph.D. candidate in Individualized Interdisciplinary Program (Robotics and Autonomous Systems) at Academy of Interdisciplinary Studies (AIS) of Hong Kong University of Science and Technology (HKUST), supervised by Prof. Yiwen Wang (CCEL in HKUST). Before joining HKUST, I received my M.Eng (Zhejiang Univ. 2021) and B.Eng (Tongji Univ. 2018) in Mechanical Engineering.

My research interest lies in the intersection of brain-machine interface, neuroscience and artificial intelligence. Now I focus on modeling point processes (neuronal spike trains) for understanding neural populations in Brain-machine Interfaces. And I also did some work on brain-inspired intelligence for mechanical product design. I am broadly interested in

1. Developing interpretable methods in neuroscience to understand how neurons are organized to represent, process, and transmit information using data-driven approaches
2. Creating brain-inspired machine intelligence frameworks to bridge the gap between artificial neural networks and biological neural networks.
3. Exploring applications in brain-machine interfaces, robotics learning, wearable computing, and realizing intelligent product design, etc.

🔥 News

• [2024.Oct]: Awarded DAAD AInet Fellowship and invited to join the Postdoctoral Networking Tour in Artificial Intelligence
• [2024.Apr]: Two papers were accepted to EMBC 2024! I am honored with NextGen Scholar Award.
• [2023.Nov]: Gave a talk on Tracking Dynamic Neural Connectivity in seminar of Robotics and Autonomous Systems Thrust
• [2023.Aug]: We organized the 4th International Workshop on Neural Engineering & Rehabilitation in Chengdu China
• [2023.Aug]: A paper was accepted to ESWA. I finished my master study eventually!
• [2023.Apr]: A paper was accepted to EMBC 2023.
• [2022.Nov]: Passed my PhD Qualifying Examination!

📝 Publications

Journal paper

1. Mingdong Li, Shanhe Lou*, Hao Zheng, Yixiong Feng, Yicong Gao, Siyuan Zeng, Jianrong Tan. A Cognitive Analysis-based Key Concepts Derivation Approach for Product Design, Expert Systems With Applications, 2024. [PDF]
2. Mingdong Li, Shanhe Lou*, Yicong Gao, Hao Zheng, Bingtao Hu, Jianrong Tan. A Cerebellar Operant Conditioning-inspired Constraint Satisfaction Approach for Product Design Concept Generation, International Journal of Production Research, 2023. [PDF]
3. Xuanyu Wu, Zhaoxi Hong*, Yixiong Feng, Mingdong Li, Shanhe Lou, Jianrong Tan. A Semantic Analysis Driven Customer Requirements Mining Method for Product Conceptual Design, Scientific Reports, 2022. [PDF]
4. Yixiong Feng, Mingdong Li, Shanhe Lou*, Yicong Gao, Jianrong Tan. A Digital Twin-Driven Method for Product Performance Evaluation Based on Intelligent Psycho-Physiological Analysis, Transaction of the ASME, Journal of computing and Information Science in Engineering, 2021. [PDF]

Conference paper

1. Mingdong Li, Jieyuan Tan, Zhiwei Song, Yiwen Wang*. Modeling Neural Population Dynamics in a Point Process Filter for Neuroprosthetics Control, 2024 Annual Conference of International Association of Neurorestoratology (IANR) . [Poster]
2. Mingdong Li, Mingyi Wang, Yiwen Wang*. An Adaptive Superposition Point Process Model with Neuronal Encoding Engagement Identification, 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE. [Accepted, not ready]
3. Zixu Wang, Shuhang Chen†, Mingdong Li, Yiwen Wang*. Tracking Dynamic Conditional Neural Correlation during Task Learning, 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE. (†: co-first author) [Accepted, not ready]
4. Mingdong Li, Shuhang Chen, Zhijia Zhao, Yiwen Wang*. Tracking the Dynamic Functional Neural Connectivity via Conjugate Gradient Optimization, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE. [PDF]
5. Mingdong Li, Shuhang Chen, Xi Liu, Zhiwei Song, Yiwen Wang*. Modeling Neural Connectivity in a Point-Process Analogue of Kalman Filter, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE. [PDF]

👨‍💻 Services, Teaching and Activities

• 2024 Annual Conference of International Association of Neurorestoratology (IANR), Shanghai
• Teaching Assistant
  • ELEC4130 Machine Learning on Images (2023 Spring)
  • EMIA4110 Practical Machine Learning (2024 Spring)

🏆 Honors and Awards

• 2024.10: DAAD AInet Fellow (Deutscher Akademischer Austauschdiens, Germany)
• 2024.04: NextGen Scholar Award (IEEE Annual International Conference of Engineering in Medicine and Biology Society (EMBC))
• 2021.03: Zhejiang University Graduation Scholarship (Top 2 postgraduates of each college in the graduation year)
• 2019.10: ZHEJIANG Lab International AI Competition (Multiple Objects Tracking (MOT) track), Excellence Prize
• 2016.07: 1st prize in No.7 National College Mechanical Design Innovation Competition
• 2013 - 2018: Tongji Scholarship of Excellence (2nd prize & 3rd prize)

🗺️ Sitemap