LabCompass

Risi Jaiswal

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2017
Low-power high-performance VLSI designAdvanced Neural Network ApplicationsQuantum Computing Algorithms and ArchitectureNeural Networks and ApplicationsMachine Learning and ELM

Publications

10

Citations

73

Est. group size

~4

Recurring co-author estimate

Active years

10

Publishing since 2017

Research summary
AI-generated

Risi Jaiswal works in engineering with topics associated to low-power VLSI (chip) design, neural networks, and quantum computing algorithms, though the specific relevance of these areas is not well established in the available data. One identifiable publication concerns automated regression testing tools used in post-silicon validation, a step in verifying that manufactured computer chips work as intended. Given the very limited public record, prospective students should treat this profile as only a partial picture of the research focus.

VLSI (chip) designPost-silicon validation and testingNeural networksQuantum computing algorithmsMachine learning

Publication output has been sparse and irregular over the last decade, with several zero-output years followed by a recent uptick in the most recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.4/year recently
2017: 1 publication1718192020: 1 publication202021: 1 publication212022: 1 publication2223242025: 4 publications4252026: 2 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×3
  • IEEE Access×1
  • IEEE Transactions on Artificial Intelligence×1
  • npj Unconventional Computing×1
  • IEEE Journal of Solid-State Circuits×1
Similar researchers
By research-topic overlap

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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