Mr Yuxin Bian | computer vision | Best Researcher Award

Mr Yuxin Bian | computer vision | Best Researcher Award

Researcher at The University of Hong Kong,Hong Kong

Yuxin Bian is a prominent researcher currently affiliated with the Department of Mathematics in the Faculty of Science at the University of Hong Kong. With numerous SCI-indexed papers in JCR Q1 journals, Yuxin has earned recognition for his groundbreaking work in computer vision, medical imaging, large language models, and remote sensing. He actively contributes to the scientific community as a peer reviewer for leading journals like Computers in Biology and Medicine (Impact Factor: 7.7) and Biomedical Signal Processing and Control (Impact Factor: 5.1). Yuxin has also taken roles such as Technical Lead in major collaborations, such as with the Guangdong Provincial Department of Science and Technology, and continues to serve on prestigious program committees for international conferences

Profile

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Early Academic Pursuits 🎓

Yuxin Bian’s academic journey began with a solid foundation in mathematics and science, ultimately leading to a specialization in applied mathematics and computational techniques. As a student, Yuxin displayed exceptional aptitude in analytical thinking and problem-solving, which naturally paved the way for advanced research. While studying at the University of Hong Kong, he explored complex topics in computer vision, remote sensing, and medical imaging. His academic work laid the groundwork for a prolific career marked by innovation and excellence.

Professional Endeavors 💼

Currently affiliated with the Department of Mathematics at the University of Hong Kong, Yuxin has contributed to the global academic community through his research and collaborations. He has authored multiple SCI papers indexed in JCR Q1 and presented findings at esteemed conferences such as the IEEE International Conference on Image Processing (ICIP). His professional endeavors are not limited to academia—he has also served as a technical lead for provincial projects in collaboration with the Guangdong Provincial Department of Science and Technology. Additionally, Yuxin is a dedicated peer reviewer for high-impact journals, ensuring academic rigor in disciplines such as computational biology and biomedical signal processing.

Contributions and Research Focus 🔬

Yuxin Bian’s research is centered around cutting-edge topics like:

  • Computer Vision: Developing algorithms for image recognition and processing.
  • Large Language Models: Exploring their application in data analysis and problem-solving.
  • Remote Sensing Images: Enhancing data interpretation techniques for geographical and environmental analysis.
  • Medical Imaging: Advancing diagnostic accuracy through innovative computational models.

With impactful publications and an interdisciplinary approach, Yuxin’s work bridges the gap between theoretical research and practical applications. He has been invited to serve on program committees for prestigious conferences, highlighting his role as a thought leader in his field.

Accolades and Recognition 🏆

Yuxin Bian has received widespread recognition for his contributions to science and technology. As a nominee for various awards—including the Young Scientist Award and Best Innovation Award—his achievements reflect both individual excellence and the broader impact of his work. Notable accolades include:

  • Multiple peer-review engagements for JCR Q1 journals like Computers in Biology and Medicine and Biomedical Signal Processing and Control.
  • Invitations to international symposia such as the Bio-mechatronics and Robotics in Healthcare Symposium and NEUROMEET 2025.
  • A proven record of impactful research, with individual papers receiving significant citations and attention from the scientific community.

Impact and Influence 🌍

Through his academic and professional contributions, Yuxin has significantly influenced fields such as computer vision and medical imaging. His collaborative efforts with the Guangdong Provincial Department of Science and Technology underscore the real-world applications of his work. Furthermore, his membership in organizations like the IEEE Signal Processing Society and the Chinese Society of Optimization, Overall Planning and Economic Mathematics highlights his commitment to fostering a global scientific community.

Legacy and Future Contributions 🌟

Yuxin Bian’s legacy is one of innovation and dedication. With ongoing research projects, patents in the pipeline, and a growing network of academic collaborations, he is poised to make even greater contributions to his field. His work not only advances technological boundaries but also inspires the next generation of researchers. By continuing to bridge academia and industry, Yuxin exemplifies the role of a scientist who translates complex ideas into tangible benefits for society.

Publication Top Notes

computer vision

    • Cervical cell nuclei segmentation based on GC-UNet, Heliyon, 2023
    • Swin Transformer UNet for Very High Resolution Image Dehazing, Sensors & Materials, 2022
    • PSE: Enhancing Structural Contextual Awareness of Networks in Medical Imaging with Permute Squeeze-and-Excitation Module, Biomedical Signal Processing and Control, 2025
    • EarthquakeNet: A High-Resolution UAV-Based Dataset for Earthquake Damage Assessment, IEEE ICIP, 2024

 

 

 

 

Dr Santanu Roy | Computer Vision | Best Researcher Award

Dr Santanu Roy | Computer Vision | Best Researcher Award

Assistant Professor at Pandit Deendayal Energy University , India

Dr. Santanu Roy is a dedicated researcher and educator specializing in medical image processing and computer vision. With a Ph.D. from NITK Surathkal, he has developed innovative algorithms for cancer detection using deep learning techniques. His passion for advancing healthcare through technology is reflected in his extensive research publications and teaching experience across various esteemed institutions.

Profile

Education Qualification 🎓

  • Ph.D. in Medical Image Processing
    NITK Surathkal, India (July 2016 – August 2021)
    Thesis: Algorithms for Color Normalization and Nuclei Segmentation of Liver Cancer Histopathology Images
    CPI: 9.00/10.0
  • M.Tech in Information and Communication Technology
    Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India (July 2009 – June 2011)
  • B.Tech in Electronics and Communication Engineering
    St. Thomas College of Engineering and Technology, WBUT Kolkata, India (June 2004 – May 2008)
    Percentage: 77.71%

Experience 💼

Dr. Roy has held various academic positions, including Assistant Professor in the CSE Department at NIIT University (Sept 2023 – July 2024) and Christ (Deemed to be University) (Oct 2022 – Sept 2023). He also served as a Teaching Assistant at NITK Surathkal, contributing to projects in liver cancer diagnosis. His teaching experience spans subjects like deep learning, machine learning, and digital image processing.

Research Interest 🔍

Dr. Roy’s research interests focus on medical image processing, computer vision, and image classification using deep learning. He is particularly dedicated to enhancing diagnostic techniques in healthcare through innovative computational methods.

Upcoming Projects

  1. AI-Driven Diagnostic Tools: Building on his work with liver cancer histopathology images, Dr. Roy aims to develop AI tools that can assist in real-time diagnosis across various medical imaging modalities.
  2. Telemedicine Solutions: A project aimed at leveraging computer vision technologies to enhance telemedicine services, making healthcare more accessible, especially in rural areas.
  3. Virtual Lab Expansion: Dr. Roy plans to expand the Virtual Lab initiative, enhancing its offerings and providing more students with opportunities to engage in impactful AI research.

Awards and Achievements 🏆

  • Best Paper Presentation Award at the 15th International Conference on Machine Vision (ICMV’2022), Rome, Italy (2023).
  • Full-time Ph.D. Scholarship from NITK Surathkal (2016-2021).
  • GATE EC 2009: All India Rank 2883.
  • GATE EC 2008: All India Rank 4885.

Publications 📚

  1. Attention-based VGG-Lite Model and Novel Pooling Technique for Pneumonia and Covid-19 Detection from Imbalanced CXR Dataset
    IEEE Transactions on Emerging Topics in Computational Intelligence (2023)

    • Under minor revision.
  2. SVD-CLAHE Boosting and Balanced Loss Function for Covid-19 Detection from an Imbalanced Chest X-Ray Dataset
    Computers in Biology and Medicine (2022)
  3. Novel Edge Detection Technique for Nuclei Segmentation of Liver Cancer Histopathology Images
    Journal of Ambient Intelligence and Humanized Computing (2023)
  4. Mathematical Analysis of Histogram Equalization Techniques for Medical Image Enhancement
    Multimedia Tools and Applications (2024)
  5. A Novel Color Normalization Method for Hematoxylin and Eosin Stained Histopathology Images
    IEEE Access (2019)

    • Google Citations: 31.
  6. A Study About Color Normalization Methods for Histopathology Images
    Micron (2018)

    • Google Citations: 160.