Deepak Joshi

Employment

• ABB (India) AI Intern
  2025 - 2025
• Indian Institute of Technology Hyderabad Research Scholar
  2019 - Present
• Apple Computers Machine Learning Intern

Education

• Indian Institute of Technology Hyderabad Ph.D.
  2019 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Machine Learning-Driven Real-Time Fatigue Crack Localization in Acoustic Emission Data With Minimal Sensors
  IEEE Sensors Journal 2026 DOI: 10.1109/JSEN.2025.3628561
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• Proactive Structural Health Monitoring of Ship Steel in a Corrosive Environment Using Phase Space Reconstruction Methodology
  IEEE Sensors Journal 2025 DOI: 10.1109/JSEN.2025.3567664
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• FCGNet: A Deep Learning Methodology for Real-Time Prediction of Fatigue Crack Growth Rate Using Acoustic Emission Signals
  IEEE Sensors Journal 2025 DOI: 10.1109/JSEN.2024.3516092
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• Design and Evaluation of Conventional and NN-Based Methods for Corrosion and Fatigue Growth Rate Prediction
  2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS) 2024 DOI: 10.1109/icecs61496.2024.10848852
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• IR Thermography and RGB Combined Processing Methodology for Defects and Deformations Localization on the Go
  2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS) 2024 DOI: 10.1109/icecs61496.2024.10848958
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• Customized Recurrent Neural Network Based Accurate Co-Planar Source Localization Methodology with Reduced Number of AE Sensors
  2023 IEEE International Ultrasonics Symposium (IUS) 2023 DOI: 10.1109/ius51837.2023.10308361
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• Hybrid Deep Neural Network with CNN and RNN alongside 1st order B-spline Differential-Based Methodology for Real Time Fatigue Crack Growth Rate Monitoring Using Only AE Sensors
  2023 IEEE International Ultrasonics Symposium (IUS) 2023 DOI: 10.1109/ius51837.2023.10306380
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• Phase Space Reconstruction based Methodology of Real Time Detection of Corrosion in Ship Steel using AE Sensors
  2023 IEEE International Ultrasonics Symposium (IUS) 2023 DOI: 10.1109/ius51837.2023.10306666
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• Phase Space Reconstruction Based Methodology For Real Time Impact Assessment of Corrosion On Structural Health of Ship Material Using In-situ Acoustic Emission Sensors
  2023 21st IEEE Interregional NEWCAS Conference (NEWCAS) 2023 DOI: 10.1109/newcas57931.2023.10198051
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• Real-Time Fatigue Crack Growth Rate Estimation Methodology for Structural Health Monitoring of Ships
  IEEE Sensors Journal 2022 DOI: 10.1109/jsen.2022.3204146
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