LabCompass

Irith Pomeranz

Computer Science · Purdue University West Lafayette

Established · publishing since 1989

Publications

815

Citations

11,142

Est. group size

~2

Recurring co-author estimate

Active years

38

Publishing since 1989

Research summary
AI-generated

Irith Pomeranz works on testing digital hardware circuits (chips) to make sure they function correctly and to detect manufacturing defects or aging-related faults over time. Her research develops methods for generating test sequences, compacting tests to reduce their number while keeping fault coverage high, and diagnosing the location of faults in a circuit, including effects related to chip aging and switching activity. This work is relevant to students interested in hardware reliability, VLSI design-for-testability, and computer-aided design tools for integrated circuits.

VLSI circuit testing and test generationFault diagnosis and fault coverage analysisChip aging and reliability testingTest compaction and compression techniquesScan-based and functional test design

Publication output has remained fairly steady over the last decade, fluctuating between about 12 and 23 papers per year without a clear long-term increase or decrease.

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

Publication cadence
Publications per year over the last 10 years — averaging 14.4/year recently
2017: 21 publications172018: 16 publications182019: 23 publications23192020: 21 publications202021: 12 publications212022: 21 publications222023: 14 publications232024: 20 publications242025: 15 publications252026: 2 publications26
Recent publications
Publishes in
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems×54
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems×32
  • ACM Transactions on Design Automation of Electronic Systems×22
  • IEEE Access×12
  • IET Computers & Digital Techniques×7
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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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