Debjyoti Bhattacharjee

Nanyang Technological University

Papers

1

Total Citations

174

H-Index

1

About

Debjyoti Bhattacharjee is a leading researcher in emerging computing paradigms, with a primary focus on memristive devices, multi-valued logic, and neuromorphic engineering. His most influential work, "Multi-valued and Fuzzy Logic Realization using TaOx Memristive Devices" (174 citations), pioneered the use of redox-based resistive switching Random Access Memory (ReRAM) to implement ternary arithmetic and fuzzy logic—a breakthrough that extends beyond traditional binary computing. By demonstrating that 7-state ReRAM devices can reliably perform multi-valued logic operations, Bhattacharjee has opened new pathways for energy-efficient, high-density data processing. His contributions are critical to advancing non-volatile storage technologies and in-memory computing, where logic and memory converge. With his work garnering significant attention from the nanoelectronics and computer architecture communities, Bhattacharjee is recognized for bridging the gap between device physics and practical computing systems. His research continues to inspire innovations in hardware security, approximate computing, and brain-inspired architectures, positioning him as a key figure in the future of beyond-CMOS logic design.

Research Focus

Key Achievements

1
H-Index
1
Papers
174
Total Citations
174
Avg Citations/Paper
🏆 Most Cited Paper
Multi-valued and Fuzzy Logic Realization using TaOx Memristive Devices
174 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Nanyang Technological University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago