Pooja Bhati

Employment

• Indira Gandhi Delhi Technical University for Women ASSISTANT PROFESSOR
  2018 - Present
• Inderprastha Engineering College Assistant professor
  2011 - 2012
• Inderprastha Engineering College Sr lecturer
  2009 - 2011
• Inderprastha Engineering College Lecturer
  2006 - 2009

Education

• Indian Institute of Technology Delhi PhD
  2013 - 2019
• Guru Gobind Singh Indraprastha University B.Tech
  1998 - 2002
• Jamia Millia Islamia M.Tech

Projects & Funding

Projects & funding information is unavailable.

Publications (44)

• Defect Detection and Classification in 3D-Printed Parts: A Hybrid Learning Approach
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-95-3492-0_19
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• Fabrication and characterization of PLA/Gelatin/lycopene nanofibrous patches for OSMF treatment
  Aip Conference Proceedings 2026 DOI: 10.1063/5.0340416
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• Finite Element Analysis of Auxetic PLA Tracheal Stent
  Lecture Notes in Mechanical Engineering 2026 DOI: 10.1007/978-981-96-9521-8_57
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• Measurement of remaining useful life for EV batteries using data-driven approaches: A comprehensive review
  Aip Conference Proceedings 2026 DOI: 10.1063/5.0340418
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• Systematic Review of Anthropomorphic 3D Printed Bionic Hands
  Key Engineering Materials 2026 DOI: 10.4028/p-Oz1Ok0
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• Understanding PLA: A review of factors affecting crystallinity, characterization techniques and biomedical applications
  Aip Conference Proceedings 2026 DOI: 10.1063/5.0340414
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• Computational analysis of soft auxetic-based gripper design parameters
  Aip Conference Proceedings 2026 DOI: 10.1063/5.0340417
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• Wearable Sweat Sensors for Personalised Healthcare
  2025 International Conference on Emerging Trends in Networks and Computer Communications Etncc 2025 Proceedings 2025 DOI: 10.1109/ETNCC66224.2025.11299613
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• Predicting Relative Crystallinity of PLA/PGA Polymer Composites Using Sequential Deep Learning Approach
  IOP Conference Series: Materials Science and Engineering 2025 DOI: 10.1088/1757-899X/1334/1/012004
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• Hybrid Learning Models for Remaining Useful Life Prediction of Lithium-Ion Batteries in Electric Vehicles
  IOP Conference Series: Materials Science and Engineering 2025 DOI: 10.1088/1757-899X/1334/1/012003
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