LabCompass

Indranil Chakraborty

Engineering · Purdue University West Lafayette

Mid career · publishing since 2015

Publications

55

Citations

1,346

Est. group size

~1

Recurring co-author estimate

Active years

11

Publishing since 2015

Research summary
AI-generated

This researcher works on hardware for artificial intelligence, focusing on energy-efficient chip designs that use memory-based (in-memory) computing to speed up machine learning tasks. Their work spans novel memory devices, such as resistive RAM (RRAM), and specialized circuits and accelerators for neural networks, including quantized and spiking neural network approaches. Some publications also touch on related electronics like photonic sensing and instrumentation tools.

Energy-efficient AI hardwareIn-memory and near-memory computingResistive RAM (RRAM) and memory devicesNeural network accelerators and quantizationSpintronic and neuromorphic computing

Publication output rose sharply around 2019-2021 but has slowed considerably in more recent years, settling to a lower and fairly steady rate.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
2017: 4 publications172018: 4 publications182019: 12 publications12192020: 10 publications202021: 9 publications212022: 5 publications222023: 2 publications232024: 3 publications242025: 2 publications2526
Publishes in
  • arXiv (Cornell University)×12
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems×3
  • IEEE Transactions on Electron Devices×2
  • IEEE Magnetics Letters×2
  • ACM Computing Surveys×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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