LabCompass

Surya Selvam

Computer Science · Purdue University West Lafayette

Early career · publishing since 2020

Publications

12

Citations

24

Est. group size

~1

Recurring co-author estimate

Active years

6

Publishing since 2020

Research summary
AI-generated

Surya Selvam's work focuses on making neural network and computer vision systems run more efficiently on hardware, especially edge devices and specialized chips like systolic arrays and heterogeneous system-on-chips (SoCs). This includes designing faster convolution methods, caching techniques for vision-language models, and tools for estimating power and performance of deep learning models on real hardware. Some earlier publications also touch on unrelated topics like nanomaterials and biosurfactants, likely from coursework or collaborations outside the main research focus.

Efficient deep learning inferenceHardware-aware neural network designEdge computing for AIComputer vision systems (event-based and VLM-based)Performance/power modeling for hardware accelerators

Publication output has been modest but fairly steady over the past five years, averaging about 1.6 papers per year with a slight uptick in 2024-2025 after no output in 2023.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.6/year recently
1718192020: 1 publication202021: 3 publications3212022: 3 publications322232024: 3 publications3242025: 2 publications2526
Publishes in
  • Elsevier eBooks×2
  • arXiv (Cornell University)×2
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems×1
  • Advances in material research and technology×1
  • Asian Journal of Engineering and Applied Technology×1
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By research-topic overlap
  • Isha Garg

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  • Sarada Krithivasan

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  • Cheng Chu

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  • Arghadip Das

    Computer Science · Purdue University West Lafayette

  • Jianyang Gu

    Computer Science · The Ohio State University

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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