Shantanu Chakrabartty
Scholar

Shantanu Chakrabartty

Google Scholar ID: WEBTN9kAAAAJ
Professor of Electrical and Systems Engineering, Washington University in St. Louis
Analog computingEnergy ScavengingMachine learningNeuromorphic computing
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Citations & Impact
All-time
Citations
1,871
 
H-index
19
 
i10-index
51
 
Publications
20
 
Co-authors
7
list available
Contact
No contact links provided.
Publications
6 items
Maximum-Entropy Analog Computing Approaching ExaOPS-per-Watt Energy-efficiency at the RF-Edge
2025
Cited
0
When Routers, Switches and Interconnects Compute: A processing-in-interconnect Paradigm for Scalable Neuromorphic AI
2025
Cited
0
Higher-Order Neuromorphic Ising Machines -- Autoencoders and Fowler-Nordheim Annealers are all you need for Scalability
2025
Cited
0
Mixing and Merging Metric Spaces using Directed Graphs
2025
Cited
0
ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers
arXiv.org · 2024
Cited
2
Energy-efficiency Limits on Training AI Systems using Learning-in-Memory
arXiv.org · 2024
Cited
1
Resume (English only)
Research Experience
  • Engaged in fundamental research work using silicon, quantum, and biological circuits.
Background
  • Our fundamental research explores new frontiers in non-conventional analog computing and sensing techniques using silicon, quantum and biological circuits. We apply these fundamental principles for applications in Machine Learning, Neuromorphic Engineering, Structural Health Monitoring and Biomedical Instrumentation.
Co-authors
7 total
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Liang ZHOU
Liang ZHOU
The University of Queensland
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