Aditya Dixit

About

I am a Postdoctoral Researcher at Aalborg University, Denmark. My current research focuses on AI-powered semantic compression of Earth observation data, with an emphasis on developing intelligent and data-efficient approaches for processing and transmitting Earth observation data. My work integrates Deep Learning (DL), Computer Vision (CV), Remote Sensing (RS), and Hyperspectral Imaging (HSI) to develop AI-driven solutions for next-generation Earth observation systems.

I completed my Ph.D. in Computer Science and Engineering (CSE) from the Indian Institute of Technology (IIT) Indore. During my doctoral research, I worked at the intersection of DL, CV, RS, and HSI, focusing on hyperspectral image denoising, spatial-spectral representation learning, methane plume segmentation, and remote sensing image analysis.

My research has resulted in publications in leading journals and conferences, including IEEE Transactions on Geoscience and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Instrumentation and Measurement (TIM), and the Winter Conference on Applications of Computer Vision (WACV). I received the Best Research Paper Award at IIT Indore and have been recognized multiple times with the Outstanding Reviewer Award by IEEE TIM (2024, 2025) and European Conference on Computer Vision (ECCV) (2026). I also actively contribute to the research community as a reviewer for conferences and journals including CVPR, ECCV, NeurIPS, IEEE TNNLS, IEEE TIP, IEEE TGRS, and IEEE TIM.

My research interests include AI for Earth Observation, RS, CV, HSI, Environmental Monitoring, and Geospatial Applications, with a broader goal of developing DL methods that address real-world challenges and create meaningful impact.

Employment

• Aalborg University Postdoc
  2026 - Present
• Indian Institute of Technology Indore Senior Research Fellow
  2024 - 2025
• University of Sharjah Research Intern
  2024 - 2024
• Indian Institute of Technology Indore Junior Research Fellow (JRF)
  2022 - 2024
• Indian Institute of Technology Madras Project Associate
  2021 - 2022
• Indian Institute of Technology Madras Intern
  2019 - 2020
• Indian Institute of Technology Bombay Intern
  2018 - 2018

Education

• Indian Institute of Technology Indore PhD
  2022 - 2026
• Government Engineering College B.Tech
  2016 - 2020

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• IRIS: Automated mobile microscope instrument for white blood cell classification
  Measurement 2026 DOI: 10.1016/j.measurement.2026.122096
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• RECREATE: Supervised contrastive learning and inpainting based hyperspectral image denoising
  ISPRS Journal of Photogrammetry and Remote Sensing 2026 DOI: 10.1016/j.isprsjprs.2026.01.022
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• FUMESNet: Exploring Frequency-Based Transformer and Improving Skip Connection for Hyperspectral Methane Plume Segmentation
  IEEE Transactions on Instrumentation and Measurement 2026 DOI: 10.1109/TIM.2026.3667330
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• A Comparative Analysis of Deep Learning Methods for Ghaf Tree Detection and Segmentation from UAV-based Images
  ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences 2025 DOI: 10.5194/ISPRS-ANNALS-X-G-2025-805-2025
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• VISIONARY: Novel Spatial-Spectral Attention Mechanism for Hyperspectral Image Denoising
  Proceedings 2025 IEEE Winter Conference on Applications of Computer Vision Wacv 2025 2025 DOI: 10.1109/WACV61041.2025.00271
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• UNFOLD: 3-D U-Net, 3-D CNN, and 3-D Transformer-Based Hyperspectral Image Denoising
  IEEE Transactions on Geoscience and Remote Sensing 2023 DOI: 10.1109/TGRS.2023.3328922
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