LabCompass

Deep Patel

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2004Rising activity
Advanced machining processes and optimizationAdditive Manufacturing Materials and ProcessesDigital Transformation in IndustryManufacturing Process and OptimizationIndustrial Vision Systems and Defect Detection

Publications

28

Citations

219

Est. group size

—

Recurring co-author estimate

Active years

23

Publishing since 2004

Research summary
AI-generated

Deep Patel's work focuses on smart manufacturing, combining sensors, machine vision, and AI to monitor and optimize machining processes like CNC milling and turning, including detecting tool wear in real time. The research also touches on sustainable manufacturing methods (such as additive manufacturing of metal alloys), Industry 4.0 retrofitting of factory equipment, and some unrelated topics like video understanding, memory chip design, and energy technology assessments.

AI-based manufacturing process monitoringTool wear detection and machining automationSustainable and additive manufacturingIndustry 4.0 and smart factory systemsComputer vision and video understanding

Publication output was low and sporadic before 2022 but increased sharply from 2022 to 2024, followed by a slight decline in 2025-2026, suggesting a recent period of high activity after a slower earlier decade.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.4/year recently
2017: 1 publication172018: 1 publication182019: 1 publication19202021: 1 publication212022: 3 publications222023: 8 publications8232024: 7 publications242025: 3 publications252026: 1 publication26
Recent publications
Publishes in
  • Joule×2
  • Tribology International×2
  • arXiv (Cornell University)×2
  • Sustainable materials and technologies×1
  • IEEE Solid-State Circuits Letters×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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