Manoj K. Rajbhar

King Abdullah University of Science and Technology

Papers

1

Total Citations

39

H-Index

1

About

Dr. Manoj K. Rajbhar is pioneering the intersection of silicon photonics and neuromorphic computing, with a focus on developing hardware for next-generation edge devices. His most cited work introduces a highly efficient, back-end-of-line compatible flexible Si-based optical memristive crossbar array—a breakthrough that enables seamless 3D integration for smart edge applications. This innovation, published in 2024 and already garnering 39 citations, demonstrates exceptional promise for edge neuromorphic physiological signal processing and bionic machine vision, addressing critical needs in personalized healthcare and advanced robotics. By merging optical memristors with flexible silicon platforms, Dr. Rajbhar’s research offers a scalable, energy-efficient pathway toward intelligent, real-time data processing at the edge, circumventing traditional von Neumann bottlenecks. His contributions are shaping the future of bio-inspired computing and sensory systems, positioning him as a rising leader in the field of neuromorphic hardware and integrated photonics.

Research Focus

Key Achievements

1
H-Index
1
Papers
39
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Highly Efficient Back-End-of-Line Compatible Flexible Si-Based Optical Memristive Crossbar Array for Edge Neuromorphic Physiological Signal Processing and Bionic Machine Vision
39 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: King Abdullah University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago