Chunsheng Li

ORCID: 0000-0003-0224-9400
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About
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Research Areas
  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • Environmental Impact and Sustainability
  • EEG and Brain-Computer Interfaces
  • Epilepsy research and treatment
  • Energy, Environment, and Transportation Policies
  • Sustainable Supply Chain Management
  • Healthcare and Environmental Waste Management
  • Electric Vehicles and Infrastructure
  • Energy, Environment, Economic Growth
  • Atomic and Subatomic Physics Research
  • Municipal Solid Waste Management
  • Global Energy Security and Policy

Macau University of Science and Technology
2024-2025

Shenyang University of Technology
2021-2024

Carnegie Mellon University
2021

10.1080/23302674.2025.2458176 article EN International Journal of Systems Science Operations & Logistics 2025-01-29

This research investigates the volatility of carbon prices in Guangdong’s emission trading market, a critical element China’s broader climate strategy aimed at reducing greenhouse gas emissions and promoting sustainable development. study applies ensemble empirical mode decomposition (EEMD) to analyze complex interactions between price fluctuations various economic factors, including energy environmental regulations. By decomposing data, we identify key trends cycles within providing clearer...

10.3390/systems12110458 article EN cc-by Systems 2024-10-30

Brain network provides an essential perspective for studying normal and pathological brain activities. Reconstructing the in source space becomes more needed, example, as a target non-invasive neuromodulation. Precise estimating activities from scalp EEG is still challenging because it ill-posed question of volume conduction effect. There no consensus on how to reconstruct network. This study uses simultaneous stereo-EEG investigate effect inverse solutions, connectivity measures, node sizes...

10.1109/tnsre.2024.3430312 article EN cc-by IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024-01-01

Seizure generation is thought to be a process driven by epileptogenic networks; thus, network analysis tools can help determine the efficacy of epilepsy treatment. Studies have suggested that low-frequency (LF) high-frequency (HF) cross-frequency coupling (CFC) useful biomarker for localizing tissues. However, it remains unclear whether LF or HF coordinated CFC hubs are more critical in determining treatment outcome. We hypothesize primarily responsible seizure dynamics....

10.1109/tnsre.2021.3093703 article EN cc-by IEEE Transactions on Neural Systems and Rehabilitation Engineering 2021-01-01

With the continuous evolution of international trade, global market has been steadily expanding while also facing increasing challenges, particularly in relation to introduction environmental policies such as carbon barriers. Our research explores how China’s power battery manufacturers can adapt their export strategies EU’s barrier policies. Additionally, we examine roles government regulations, institutions, and either facilitating or hindering compliance with reduction objectives. Using...

10.3390/systems12110482 article EN cc-by Systems 2024-11-12

Epilepsy is a brain network disorder that manifests through recurrent seizures. In cases of drug resistant epilepsy, surgical removal pivotal nodes within the epileptic can lead to seizure freedom. Virtual resection on patient-specific models aid in prediction outcomes. Some studies have investigated virtual undirected connectivity networks, such as using Pearson correlation or structural connectivity. We hypothesize directed functional enhances performance. This study proposes new approach...

10.1109/jbhi.2024.3510134 article EN IEEE Journal of Biomedical and Health Informatics 2024-12-02
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