Valeria Mondini

Graz University of Technology

Papers

3

Total Citations

125

H-Index

3

About

Valeria Mondini is a leading researcher in neural engineering and brain-computer interfaces (BCIs), with a focus on non-invasive EEG decoding for upper-limb neuroprosthetics. Her work centers on enabling natural, closed-loop control of robotic arms by continuously decoding voluntary movement intentions from low-frequency EEG signals. Mondini’s most cited paper (87 citations) demonstrates the feasibility of continuous arm movement decoding for real-time robotic control, a critical step toward practical neuroprostheses. Her ERC-funded project “Feel Your Reach” (22 citations) establishes a comprehensive framework for detecting goal-directed movements and processing error signals to gate kinesthetic feedback, blending motor intention decoding with sensory feedback for more intuitive control. She has also advanced non-linear decoding methods (16 citations) to improve online tracking of arm movements. Mondini’s contributions bridge offline decoding studies and real-world BCI applications, with her work cited over 125 times, reflecting its impact on rehabilitation and assistive technology. Her research paves the way for paralyzed individuals to regain natural, fluid control of artificial limbs through thought alone.

Research Focus

Key Achievements

3
H-Index
3
Papers
125
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
Continuous low-frequency EEG decoding of arm movement for closed-loop, natural control of a robotic arm
87 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Graz University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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