Mashiyat Sumaiya Shawkat

University of Central Florida

Papers

1

Total Citations

84

H-Index

1

About

Mashiyat Sumaiya Shawkat is a pioneering researcher in the field of neuromorphic computing and emerging nanoelectronic devices. Her work focuses on developing bio-inspired electronic systems that mimic the human nervous system, particularly through the use of two-dimensional (2D) materials. Shawkat's most notable contribution is the realization of an artificial nociceptor—a device that emulates the biological response to pain—using a single 2D MoS₂-based threshold switching memristor. This groundbreaking work, published in 2020 and garnering 84 citations, demonstrates volatile resistance switching that replicates the key functions of biological nociceptors, including threshold, relaxation, and sensitization. By achieving such complex neural behavior with a simple, single-device architecture, Shawkat has significantly advanced the field of neuromorphic engineering, offering a path toward more efficient and compact artificial sensory systems. Her research bridges the gap between materials science and neural computing, with potential applications in robotics, prosthetics, and smart sensors. Shawkat's innovative approach to mimicking biological pain perception represents a crucial step in developing electronic systems that can interact more naturally with the environment.

Research Focus

Key Achievements

1
H-Index
1
Papers
84
Total Citations
84
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Nociceptor Using 2D MoS<sub>2</sub> Threshold Switching Memristor
84 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Central Florida

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago