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Uzair Aslam Bhatti

Uzair Aslam Bhatti

Uzair Aslam Bhatti has focused his research on applying machine learning to medical and signal processing problems, with a strong interest in the broader applications of artificial intelligence. He has published nearly 60 academic papers, mre than 50 of which are indexed in SCI and EI. During his PhD at Hainan University, he received two Best Research Paper Awards and a Chinese Government Scholarship.

As a Postdoctoral Researcher at the School of Geography (Remote Sensing and Signal Processing), Nanjing Normal University, he published 11 papers in two years as first author (9 SCI journals and 2 conference papers), including articles in leading SCI journals such as IEEE Transactions on Geoscience and Remote Sensing (IF 8.1) and Chemosphere (IF 9.1). His contributions, including 10 SCI papers and two CCF B-level conference papers as first author, earned him recognition as an Excellent Postdoctoral Candidate by Nanjing Normal University.

He has also participated in major projects funded by the National Natural Science Foundation of China, the National Key R&D Program, and the Hainan Provincial Major Science and Technology Program.

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Deep Learning for Multimedia Processing Applications30 %
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Deep Learning for Earth Observation and Climate Monitoring45 %
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09 Jun 2025
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Deep Learning based applications for Multimedia Processing Applications
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Deep Learning for Multimedia Processing Applications29 %
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Deep Learning Applications in Remote Sensing for Climate Change Monitoring43 % NR
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07 Nov 2025
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Modern Intelligent Techniques for Image Processing42 % NR
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Modern Intelligent Techniques for Image Processing42 % NR
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Deep Learning in Medical Signal and Image Processing43 % NR
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Deep Learning Applications in Remote Sensing for Climate Change Monitoring
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Modern Intelligent Techniques for Image Processing
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Modern Intelligent Techniques for Image Processing
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Modern Intelligent Techniques for Image Processing
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Deep Learning in Medical Signal and Image Processing
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Deep Learning in Medical Signal and Image Processing
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Deep Learning for Multimedia Processing Applications
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Deep Learning for Multimedia Processing Applications
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