LabCompass

Sidi Deng

Engineering · Purdue University West Lafayette

Early career · publishing since 2019Rising activity

Publications

31

Citations

345

Est. group size

~6

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Sidi Deng's work centers on sustainability engineering, particularly how materials flow through industrial and manufacturing systems and how waste streams (like mining residues, coal refuse, and incineration ash) can be recovered and reused to reduce environmental impact. Recent projects include recovering battery-grade chemicals from waste, modeling decarbonization pathways for industries like aluminum production, and developing data-driven and statistical methods to assess environmental impacts more accurately. A few recent papers also touch on photocatalytic materials for hydrogen production and behavioral analysis of AI agents, suggesting some exploration into adjacent technical areas.

Sustainable manufacturing and industrial ecologyMaterial flow analysis and impact assessmentRecovery and valorization of waste and mining byproductsDecarbonization of industrial supply chainsEmerging methods: data-driven and AI-related analysis

Publication output has grown over the last decade, rising from little to no output before 2019 to a steady average of about 5 papers per year in the last five years, with a notable increase in 2024 and 2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.8/year recently
17182019: 1 publication192020: 4 publications202021: 2 publications212022: 3 publications222023: 4 publications232024: 7 publications7242025: 4 publications252026: 6 publications26
Recent publications
Publishes in
  • Procedia CIRP×5
  • Resources Conservation and Recycling×4
  • Journal of Manufacturing Science and Engineering×2
  • SSRN Electronic Journal×2
  • arXiv (Cornell University)×2
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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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