LabCompass

Inez Hua

Materials Science · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1995
Ultrasound and Cavitation PhenomenaAdvanced oxidation water treatmentSustainability in Higher EducationToxic Organic Pollutants ImpactEnvironmental remediation with nanomaterials

Publications

76

Citations

3,758

Est. group size

—

Recurring co-author estimate

Active years

32

Publishing since 1995

Research summary
AI-generated

Inez Hua's research focuses on assessing the environmental impacts of technology and manufacturing, including electronics, computing systems, and materials recovery processes. Recent work examines the environmental footprint of computing and large language models, water use in semiconductor manufacturing, and life-cycle impacts of consumer electronics like smartphones and hard disk drives. The work also extends to engineering education, particularly integrating sustainability into curricula.

Environmental life-cycle assessment of technologySustainability of computing and AI systemsWater use and resource impacts in manufacturingMaterials recovery and recycling of electronic devicesSustainability-focused engineering education

Publication output has fluctuated over the past decade, with a dip around 2022-2023 followed by a notable increase in 2025, suggesting renewed and growing activity.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.2/year recently
2017: 1 publication172018: 3 publications182019: 3 publications192020: 6 publications6202021: 2 publications212022: 1 publication22232024: 2 publications242025: 6 publications6252026: 2 publications26
Recent publications
Publishes in
  • Resources Conservation and Recycling×3
  • arXiv (Cornell University)×3
  • ACM SIGEnergy Energy Informatics Review×2
  • 2020 ASEE Virtual Annual Conference Content Access Proceedings×2
  • Waste Management×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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