Sobhan Kanti Dhara

About

SOBHAN KANTI DHARA is an assistant professor in the Department of Electronics and Communication Engineering, National Institute of Technology Rourkela. He completed his Ph.D. from the Department of E&ECE, IIT Kharagpur. before that, he received his B.Tech degree in Electronics and Communication Engineering from the Institute of Engineering and Management, West Bengal University of Technology, India in 2010 and his M.Tech degree in Signal and Image Processing from National Institute of Technology Rourkela, India in 2015. He was a visiting researcher at Concordia University, Canada in 2018. His research interests include Computer Vision, Medical Imaging, Deep Learning, etc. Dr. Dhara is also a recipient of IEEE Richard E. Merwin Award cum Scholarship in 2019-20, Shastri Research Student Fellowship (Doctoral) in 2017-18, Institute Gold Medal for Best M.Tech student in 2015, Institute Highest DGPA in 2015, Academic Excellence award in 2014, and a couple of travel grants and scholarships. He was selected to attend prestigious platforms like Heidelberg Laureate Forum(HLF), CVPR Doctoral Consortium. He also has been selected as the IEEE Student Ambassador. He has served in a number of administrative positions in his department and IEEE IIT Kharagpur student branch. Earlier he was a member of the Institute Senate at National Institute of Technology Rourkela from 2014-15

Employment

• National Institute of Technology Rourkela Assistant Professor
  2023 - Present
• Tata Consultancy Services Devloper/System Engineer
  2010 - 2013

Education

• Indian Institute of Technology Kharagpur Ph.D.
  2015 - Present
• National Institute of Technology Rourkela M.Tech
  2013 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Lightweight explainable computer aided diagnosis for pulmonary nodule classification using 3D CT
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2026.109671
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• Haze Hue and Haze Saturation Priors for Single Image Dehazing
  International Journal of Computer Vision 2026 DOI: 10.1007/s11263-025-02655-5
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• Efficient Aerial Image Dehazing via Haze Region Aware Feature Learning and Hadamard Gating
  IEEE Geoscience and Remote Sensing Letters 2026 DOI: 10.1109/LGRS.2026.3719865
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• GFCR-Net: Gradient-Guided and Frequency-Gated Context Refinement for Robust Ship Detection in Complex Optical Remote Sensing Images
  IEEE Geoscience and Remote Sensing Letters 2026 DOI: 10.1109/LGRS.2026.3728459
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• Artificially Generated Visual Scanpath Improves Multilabel Thoracic Disease Classification in Chest X-Ray Images
  IEEE Transactions on Instrumentation and Measurement 2024 DOI: 10.1109/TIM.2024.3428591
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• Self-Supervision via Controlled Transformation and Unpaired Self-Conditioning for Low-Light Image Enhancement
  IEEE Transactions on Instrumentation and Measurement 2024 DOI: 10.1109/TIM.2024.3370779
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• Exposedness-Based Noise-Suppressing Low-Light Image Enhancement
  IEEE Transactions on Circuits and Systems for Video Technology 2022 DOI: 10.1109/TCSVT.2021.3113559
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• Color Cast Dependent Image Dehazing via Adaptive Airlight Refinement and Non-linear Color Balancing
  IEEE Transactions on Circuits and Systems for Video Technology 2020 DOI: 10.1109/tcsvt.2020.3007850
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• Hardware-friendly Laplacian based Multi-focus Image Fusion in DCT Domain for Visual Sensor Network
  IEEE Access 2020 DOI: 10.1109/access.2020.3022208
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• Across-scale process similarity based interpolation for image super-resolution
  Applied Soft Computing 2019 DOI: 10.1016/j.asoc.2019.105508
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