Md Musabbir Adnan

University of Tennessee at Knoxville

Papers

1

Total Citations

15

H-Index

1

About

Md Musabbir Adnan is pioneering the convergence of neuromorphic engineering and single-photon vision sensing. His most-cited work introduces a groundbreaking single-chip system that integrates an 8×8 single photon avalanche diode (SPAD) array with memristive spiking neural processing, achieving unprecedented energy efficiency and quantum efficiency in a compact form. This innovation directly addresses the power and bandwidth bottlenecks in conventional vision sensors, enabling real-time, event-driven perception for edge computing and autonomous systems. With 15 citations since 2023, his research is rapidly gaining traction in the neuromorphic and photonics communities. Adnan’s contributions lie at the intersection of hardware-efficient AI and advanced optoelectronics, demonstrating how memristive spiking networks can be co-designed with SPAD sensors to emulate biological vision. His work promises transformative applications in low-power robotics, biomedical imaging, and intelligent surveillance, positioning him as a rising leader in next-generation sensing and processing.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A Single Chip SPAD Based Vision Sensing System With Integrated Memristive Spiking Neuromorphic Processing
15 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Tennessee at Knoxville

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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