Mahdieh Shojaei Baghini

University of Glasgow

Papers

2

Total Citations

141

H-Index

2

About

Mahdieh Shojaei Baghini is a leading researcher in the fields of flexible electronics, neuromorphic computing, and electronic skin (e-skin) technologies. Her most impactful contribution is the development of printed synaptic transistor–based electronic skin for robots, a groundbreaking 2022 work that has garnered 139 citations. This innovation enables robots to simultaneously sense and learn from tactile stimuli, mimicking biological skin’s multimodal capabilities—a major leap for next-generation robotics and human-machine interfaces. Baghini’s research also advances soft capacitive pressure sensors, using finite element modeling to optimize ZnO nanowire-based designs for enhanced sensitivity in e-skin applications. Her work bridges materials science and device engineering, with a focus on large-area, uniformly responsive electronic systems. By integrating synaptic functionality into flexible substrates, she addresses critical challenges in signal encoding and preprocessing for autonomous systems. With her pioneering approach to bio-inspired electronics, Baghini is shaping the future of intelligent robotics and wearable health monitoring, making her a key figure in the evolution of soft, adaptive electronic interfaces.

Research Focus

Key Achievements

2
H-Index
2
Papers
141
Total Citations
71
Avg Citations/Paper
🏆 Most Cited Paper
Printed synaptic transistor–based electronic skin for robots to feel and learn
139 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Glasgow

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago