Gaurav Bhatnagar

About

Gaurav Bhatnagar is an Professor at Indian Institute of Technology Jodhpur, India. Prior to joining IIT Jodhpur, Dr. Bhatnagar spent four years as a Post-doctoral Research Associate at University of Windsor, Canada. Dr. Bhatnagar received a PhD in interdisciplinary area of Applied Mathematics and Computer Science and an MSc in Applied Mathematics from the Indian Institute of Technology Roorkee, India, in 2010 and 2005, respectively. His research interests lie in the broad area of wavelet and fractional transform theory, with applications in digital watermarking, encryption techniques, biometrics and mathematical image analysis. Dr. Bhatnagar is the author of over 50 scholarly publications.

He is a member of several professional bodies, including IEEE and ACM. He is associated with several reputed journals, as the technical committee member, which includes IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Information Forensic and Security, Future Generation Computer Systems, Signal Processing, Digital Signal Processing, IET Image Processing, Multimedia Tools and Applications, Journal of Systems and Software and Computer and Electrical Engineering.

Employment

• Indian Institute of Technology Jodhpur iHub Drishti Chanakya Chair Professor
  2025 - Present
• Indian Institute of Technology Jodhpur Professor
  2023 - Present
• Indian Institute of Technology Jodhpur Associate Professor
  2019 - 2023
• Indian Institute of Technology Jodhpur Assistant Professor
  2013 - 2019
• University of Windsor Post-doctoral Researcher
  2009 - 2013

Education

• Indian Institute of Technology Roorkee Ph.D.
  2006 - 2010
• Indian Institute of Technology Roorkee M.Sc.
  2003 - 2005
• Chaudhary Charan Singh University B.Sc.
  2000 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (101)

• Efficient image restoration using generalized non-convex total variation regularization and Chebyshev-accelerated ADMM
  Computers & Mathematics with Applications 2026 DOI: 10.1016/j.camwa.2026.04.034
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• Efficient Chebyshev-optimized ADMM algorithm for image restoration using Nesterov acceleration
  Inverse Problems 2026 DOI: 10.1088/1361-6420/ae7239
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• Uncertainty-aware multi-class brain tumor segmentation using Bayesian U-Net variants
  Biomedical Physics & Engineering Express 2026 DOI: 10.1088/2057-1976/ae5ca9
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• Attention inspired adversarial network for intratumoral brain regions segmentation
  Image and Vision Computing 2026 DOI: 10.1016/j.imavis.2026.105940
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• Watermarking Protocol Inspired Kidney Stone Segmentation in IoMT
  IEEE Journal of Biomedical and Health Informatics 2026 DOI: 10.1109/JBHI.2025.3563955
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• SBTD: Secured Brain Tumor Detection in IoMT Enabled Smart Healthcare
  IEEE Journal of Biomedical and Health Informatics 2026 DOI: 10.1109/JBHI.2024.3482465
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• Non-linear Audio-Visual Storytelling from Scanned Comics: A Character-Centric Approach
  2026 DOI: 10.1007/978-3-032-09368-4_10
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• SecureNet: A deep learning inspired security framework for healthcare data
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2025.110723
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• Maximally Stable Extremal Regions for Concealed Object Detection in Passive Terahertz Imaging
  SN Computer Science 2025 DOI: 10.1007/s42979-025-03983-6
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• A novel concealed object detection algorithm for entry control and security check applications using passive terahertz technology
  Engineering Research Express 2025 DOI: 10.1088/2631-8695/ad98e5
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