LabCompass

Anand Raghunathan

Computer Science · Purdue University West Lafayette

Established · publishing since 1995

Publications

519

Citations

20,158

Est. group size

~11

Recurring co-author estimate

Active years

32

Publishing since 1995

Research summary
AI-generated

Anand Raghunathan works on making computer hardware and machine learning systems more efficient, focusing on chip design, low-power circuits, and specialized hardware for running AI models faster and with less energy. Recent work centers on optimizing deep learning inference and training (including quantization, compression, and hardware accelerators) for edge devices and large language models. His research sits at the intersection of computer architecture, VLSI (chip) design, and machine learning systems.

Energy-efficient chip and circuit design (VLSI)Hardware accelerators for machine learningModel compression and quantization for AIEdge computing and embedded AI systemsPower/performance estimation for system-on-chip design

Publication output was higher and fairly steady between 2017 and 2022 (roughly 14-22 papers/year) but has declined to under 10 per year from 2023 onward.

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

Publication cadence
Publications per year over the last 10 years — averaging 10.4/year recently
2017: 18 publications172018: 16 publications182019: 14 publications192020: 22 publications22202021: 15 publications212022: 17 publications222023: 9 publications232024: 10 publications242025: 9 publications252026: 7 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×38
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems×12
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems×5
  • ACM Transactions on Embedded Computing Systems×4
  • IEEE Transactions on Multi-Scale Computing Systems×3
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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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