I develop advanced deep learning and computer vision methods for remote sensing applications. My work spans generative AI, multi-modal models, and quantum-classical hybrid architectures.
Researcher, scientist, and lifelong learner
I'm a PhD student at CSRE, IIT Bombay, advised by Prof. Biplab Banerjee and co-supervised by Dr. Nitant Dube of SAC, ISRO. My research focuses on Deep Learning, Computer Vision for Remote Sensing, Generative AI, and Multi-Modal Models for Remote Sensing applications.
I am passionate about leveraging advanced machine learning models to solve complex problems in remote sensing and related fields. I also enjoy sharing knowledge through teaching and writing about data science and mathematics.
Currently, I am working as a Scientist-SE at the Space Applications Centre, ISRO, Ahmedabad, India.
Recent paper acceptances, preprints, and research milestones
Cross-sensor remote sensing super-resolution research accepted at the TerraBytes II workshop.
Read preprintHybrid quantum-classical U-Net with a quantum bottleneck for remote sensing image segmentation.
Read preprintSemantically grounded foundation models for remote sensing through multi-modal representation learning.
Read preprintData-aware quantum representations for remote sensing image classification.
Find paperHybrid quantum joint-embedding predictive architecture for cross-modal remote sensing representation learning.
Read preprintKey focus areas driving my academic work
Novel architectures for satellite image segmentation, classification, super-resolution, and retrieval tasks.
Cross-modal representation learning, joint-embedding predictive architectures, and foundation models for remote sensing.
Hybrid quantum-classical architectures (HQ-UNet, HQF-Net, QMC-Net) for image segmentation and classification.
Noise removal, infrared object detection and tracking, and hyperspectral classification with frequency-domain analysis.
Academic and professional milestones
Pursuing doctoral research and coursework concurrently with professional responsibilities as a Scientist at ISRO.
Focuses on high-resolution satellite data processing, mathematical modeling, and ML/DL applications for Earth imaging. Responsibilities include data calibration, geometric correction, image radiometric correction, and developing operational processing software chains. Contributed to the Cartosat-1, Cartosat-2, and Cartosat-3 satellite series, HRSAT, and Moon mission satellite projects.
Conducted mathematical research in Applied Linear Algebra and Quantum Computing. Transitioned directly to a Scientist position at ISRO via the centralized national recruitment selection.
Completed post-graduation in Mathematics with a final CGPA of 8.73/10.0. Developed deep theoretical foundations in algebra, analysis, and statistics.
Graduated with 76.88% marks in Mathematics Hons, building solid analytical and mathematical foundations.
Successfully qualified prestigious national-level examinations in Mathematics, including IIT JAM, CSIR-UGC NET, GATE, and MANF JRF.
Published, accepted, and under-review research in remote sensing, computer vision, and quantum computing
TerraBytes II Workshop at ECCV 2026
IEEE IGARSS 2026
CVPR Workshop 2026
Conference submission
Conference submission
Conference submission
CVPR Workshop 2026
ICPR 2026
IEEE Transactions on Geoscience and Remote Sensing
IEEE ICCCA 2025
IEEE ICITEICS 2025
Let's discuss research collaborations or opportunities
Feel free to reach out for research collaborations, academic discussions, or any queries about my work in remote sensing and deep learning.
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