LabCompass

Arghadip Das

Computer Science · Purdue University West Lafayette

Established · publishing since 1997Rising activity

Publications

24

Citations

70

Est. group size

~1

Recurring co-author estimate

Active years

30

Publishing since 1997

Research summary
AI-generated

Arghadip Das works on designing energy-efficient computer hardware for processing signals and running machine learning models, especially for small, low-power devices used at the 'edge' (away from large data centers). This includes building specialized chips and accelerators for tasks like detecting patterns in signals, tracking moving objects, and running neural networks faster while using less electricity.

Hardware accelerators for signal processingEnergy-efficient neural network hardwareEdge computing and low-power AI chipsNeural processing unit (NPU) designApplied hardware for real-time detection and tracking

Publication output was minimal or absent for most of the past decade but has grown sharply in 2025 and 2026, suggesting a recent surge in research activity.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.2/year recently
1718192020: 1 publication202021: 1 publication21222023: 1 publication232024: 2 publications242025: 10 publications10252026: 8 publications26
Publishes in
  • arXiv (Cornell University)×8
  • IEEE Internet of Things Journal×1
  • IEEE Transactions on Computers×1
  • IEEE Embedded Systems Letters×1
  • Journal of the Society for Cardiovascular Angiography & Interventions×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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