Andreas Demosthenous

University College London

Papers

2

Total Citations

4

H-Index

2

About

Andreas Demosthenous is a leading figure in analog and mixed-signal integrated circuit design, with a particular focus on biomedical and sensor interface applications. His research spans neural interfaces, implantable devices, and wearable health monitoring systems, where he has made transformative contributions to low-power, high-performance electronics. Among his most impactful works are innovations in ultrasound-based hand gesture recognition, including a wearable eight-channel A-mode ultrasound system designed for interactive gaming and prosthetic control, which demonstrates his ability to bridge cutting-edge hardware with real-world usability. He has also advanced low-computational sensing techniques for mobile industrial IoT devices, optimizing energy efficiency for autonomous vehicles and drones. With over 200 publications and thousands of citations, Demosthenous’s work has been widely recognized for its practical impact, earning him fellowships from major engineering societies and multiple best paper awards. His research not only pushes the boundaries of circuit design but also directly enables next-generation medical and wearable technologies, making him a pivotal figure for students and researchers interested in the intersection of electronics, healthcare, and IoT.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Low Computational Sensing with Goertzel Filtering for Mobile Industrial IoT Devices
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University College London

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago