Researcher

Deepak Gupta

Also known as Deepak Kumar Gupta

Deepak Gupta is a mechanical engineer whose research applies neural networks and machine learning to manufacturing and composite materials. He earned mechanical and manufacturing systems degrees, worked at Global Institute of Technology in Jaipur and BMG Conformity Assessment Services, then completed a production engineering Ph.D. in 2023. His published work has applied neural networks to steel turning, hybrid learning to natural-coagulant treatment, and ANFIS to welding; a 2026 study uses machine learning to predict composite wear. He is a Research Assistant Professor at Graphic Era Hill University in Dehradun, a role he has held since February 2024.

Now at
Graphic Era Hill University
Works
728
Citations
16,737
h-index
63

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2009–2013

    Mechanical and manufacturing degrees

    He earns a B.Tech. in mechanical engineering at the Institute of Engineering & Technology in Ayodhya in 2009, then an M.Tech. in manufacturing system engineering at Malaviya National Institute of Technology Jaipur in 2013.

  2. 2013–2020

    Academic and quality-assessment work

    From August 2013 to June 2019, he works at Global Institute of Technology in Jaipur, contributing to academic and research work. He later serves at BMG Conformity Assessment Services in Noida.

  3. 2023

    A production engineering doctorate

    He completes a Ph.D. in production engineering at G. B. Pant University of Agriculture and Technology in 2023.

  4. 2024

    Neural networks for steel turning

    In 2024, he coauthors a study that applies an artificial neural network and orthogonal array to optimize sustainable wet turning of 17-4 PH steel.

  5. 2025

    Machine learning for water treatment

    In 2025, he coauthors a study that applies hybrid machine-learning models to improve flocculation efficiency for natural coagulants in water treatment.

  6. 2025

    ANFIS for friction-stir welding

    In 2025, he coauthors a study that compares Box–Behnken design and gray relational analysis with ANFIS to optimize friction-stir-welding parameters for Al-Mg-Zn alloys.

  7. 2026

    Machine learning for composite wear

    In 2026, he coauthors a study using ANN, ANFIS, and LightGBM to predict wear performance in Al5052/B₄C/granite hybrid composites.

  8. Since February 2024

    Research Assistant Professor

    Since February 2024, he serves as a Research Assistant Professor at Graphic Era Hill University in Dehradun.

Career

  1. Since 2024Graphic Era Hill UniversityResearch Assistant Professor
  2. 2023–2024ITM University
  3. 2023–2024Sri Karan Narendra Agriculture University, Jobner
  4. 2022–2024Chandigarh University
  5. 2022–2024Amazon
  6. 2020–2022Universidade Federal do Piauí
  7. 2019–2020BMG Conformity Assessment Services
  8. 2018–2020National Institute of Telecommunications
  9. 2018–2024Guru Gobind Singh Indraprastha University
  10. 2015–2023Dr. B. R. Ambedkar National Institute of Technology Jalandhar
  11. 2014–2022Wichita State University
  12. 2014–2023Indian Institute of Technology Patna
  13. 2013–2019Global Institute of Technology
  14. 2013–2017Engineering College, Ajmer
  15. 2011–2024Maharishi Markandeshwar University, Mullana
  16. 2008–2014Southeast Missouri State University
  17. 1993–2007Indian Institute of Technology Kanpur

Education

  1. 2023Govind Ballabh Pant University of Agriculture and TechnologyPh.D. in production engineering
  2. 2013Malaviya National Institute of Technology JaipurM.Tech. in manufacturing system engineering
  3. 2009Institute of Engineering & TechnologyB.Tech. in mechanical engineering

Sources and credits

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  1. Dr. Deepak Gupta | Faculty Mechanical Engineering | GEHU, Dehradun gehu.ac.in. Checked 21 October 2026.
  2. Orthogonal array and artificial neural network approach for sustainable cutting optimization machining of 17-4 PH steel under CNC wet turning operations | International Journal of Experimental Research and Review qtanalytics.in. Checked 21 October 2026.
  3. Adaptive optimization of natural coagulants using hybrid machine learning approach for sustainable water treatment | Scientific Reports nature.com. Checked 21 October 2026.
  4. Papers Published in International Journal | GEHU, Dehradun gehu.ac.in. Checked 21 October 2026.
  5. Tribological performance of Al5052/B₄C/Granite hybrid composites: machine learning prediction and multi-response optimization | Scientific Reports nature.com. Checked 21 October 2026.
  6. Find DEEPAK GUPTA's email & phone number - Research Assistant Professor at Graphic Era Hill University, Dehradun | SignalHire signalhire.com. Checked 21 October 2026.