DIVYA MISHRA

About

Currently working as Assistant Professor in Cluster AI, School of Computer Science, UPES, INDIA. I have completed her Ph.D. in the specialization of Image Processing and Computer Vision from Ben Gurion University, Israel. My Ph.D. research work is in joint collaboration of Israel Space Agency (ISA), Israel Aerospace Industries (IAI) and Ben Gurion University (BGU), Israel, completely funded by the Ministry of Science and Technology, Israel. The Ph.D. work focused on “Real-world Unsupervised Remote Sensing Image Super-Resolution”. I worked on Israel’s first single band nanosatellite BGUSat and successfully able to do super-resolution by 10 times. I have also used my research findings practically as an application and worked in collaboration with Israeli Agritech company: “Crytal vision Integrated solutions” which provides smart automation and control systems
for industry, agriculture, and research.

I have been honored prestigious Kaufmann award for outstanding Ph.D. student inSchool of Electrical and Computer Engineering, Dean’s award for cumulative achievements in Ph.D. among faculty of engineering and the prestigious Negev Scholarship given to outstanding Ph.D. research students apart of regular Kreitman Scholarship for Ph.D.

Employment

• UPES ASSISTANT PROFESSOR
  2024 - Present

Education

• Ben-Gurion University of the Negev Ph.D
  2021 - 2025
• Jamia Millia Islamia M.TECH
  2019 - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• A Novel Approach for Plant Root Hair Counting and its Improvement via Image Super-Resolution
  IEEE Transactions on AgriFood Electronics 2025 DOI: 10.1109/TAFE.2025.3565690
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• A novel technique for image steganography based on maximum energy seam
  Multimedia Tools and Applications 2024 DOI: 10.1007/s11042-024-18476-6
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• Unsupervised Image Super-Resolution for Root Hair Enhancement and Improved Root Traits Measurements
  IEEE Transactions on AgriFood Electronics 2024 DOI: 10.1109/TAFE.2024.3359660
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• A Fusion-Based Framework for Unsupervised Single Image Super-Resolution
  2023 DOI: 10.1007/978-3-031-34671-2_7
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• Accelerating Neural Style-Transfer Using Contrastive Learning for Unsupervised Satellite Image Super-Resolution
  IEEE Transactions on Geoscience and Remote Sensing 2023 DOI: 10.1109/TGRS.2023.3314283
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• CLSR: Contrastive Learning for Semi-Supervised Remote Sensing Image Super-Resolution
  IEEE Geoscience and Remote Sensing Letters 2023 DOI: 10.1109/LGRS.2023.3294595
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• Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2023 DOI: 10.1109/JSTARS.2023.3239758
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• Multiple image super-resolution from the BGU SWIR CubeSat satellite
  Applications of Digital Image Processing XLV 2022 DOI: 10.1117/12.2633778
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• Deep Learning based Object Detection Methods: A Review
  Medicon Engineering Themes 2022 DOI: 10.55162/MCET.02.027
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• Experimentally Proven Bilateral Blur on SRCNN for Optimal Convergence
  Communications in Computer and Information Science 2022 DOI: 10.1007/978-3-030-96040-7_39
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