Jiaxiang Wang | Artificial Intelligence | Best Researcher Award

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Dr. Jiaxiang Wang | Artificial Intelligence | Best Researcher Award

Dr. Jiaxiang Wang, University of Science and Technology Beijing, China

Jiaxiang Wang 🎓, a PhD candidate at the University of Science and Technology Beijing (USTB) 📍, specializes in Artificial Intelligence with a focus on image restoration 🖼️. With a strong academic background, he earned his Bachelor’s and Master’s degrees from Henan Normal University 🏫. His research centers on developing cutting-edge deblurring algorithms to enhance visual data quality 🌟. Passionate about deep learning and AI-driven solutions, Jiaxiang is dedicated to advancing the field of image processing through innovative techniques. Though early in his academic journey, he demonstrates a commitment to impactful research and interdisciplinary collaboration 🌐.

Professional Profile:

Orcid

Suitability for Best Researcher Award: Jiaxiang Wang

Jiaxiang Wang is highly deserving of the Best Researcher Award due to his groundbreaking work in AI and image restoration. His strong academic background, significant research output, and commitment to advancing technology for real-world applications make him an exemplary candidate for this award. Despite being early in his academic journey, his work shows tremendous potential to shape the future of AI and image enhancement, making him a standout researcher in his field.

 

Education and Experience

  • Bachelor’s Degree 🎓: Henan Normal University
  • Master’s Degree 🎓: Henan Normal University
  • PhD Candidate 📚: University of Science and Technology Beijing, specializing in Artificial Intelligence and Image Restoration 🖼️
  • Research Focus 🔍: Advanced deblurring algorithms using deep learning

Professional Development

Jiaxiang Wang’s professional journey revolves around innovative research in Artificial Intelligence 🤖. His expertise in deep learning and model optimization enables him to tackle real-world challenges in image restoration 🖼️. Through his PhD work, he has published papers in prestigious journals indexed in Scopus and Web of Science 🌟. With a cumulative impact factor of 5 over three years, Jiaxiang is committed to academic excellence and developing AI-driven solutions. He aspires to collaborate with professionals globally to address challenges in visual data processing and contribute significantly to the AI community 🌍.

Research Focus

Jiaxiang Wang’s research delves into Artificial Intelligence and its applications in image restoration 🖼️. His primary focus is developing deblurring algorithms for corrupted images, addressing challenges in visual data processing 🎥. By leveraging deep learning frameworks and model optimization, Jiaxiang aims to push the boundaries of AI-driven image enhancement 🌟. Passionate about innovation, he envisions his work playing a crucial role in transforming global industries reliant on high-quality visual data, including healthcare, surveillance, and entertainment 🎯.

Awards and Honors

  • Published 5 journal articles in SCI/SCIE-indexed journals 🏆
  • Published 6 journal articles in Scopus and Web of Science journals ✍️
  • Cumulative impact factor of 5 🌟
  • Citation Index in Scopus and Web of Science: 2 📖

Publication Top Notes:

📖 MCIDN: Deblurring Network for Metal Corrosion Images
📖 Audio-visual event localization with dual temporal-aware scene understanding and image-text knowledge bridging
📖 Synergy analysis of tribocorrosion behaviour of aluminum alloy under different hydrostatic pressures
📖 A deep learning framework for predicting slab transverse crack using multivariate LSTM-FCN in continuous casting
📖 MIDNet: Deblurring Network for Material Microstructure Images

 

 

 

Dr. Sabrina Clusiau | Artificial intelligence | Best Researcher Award

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Dr. Sabrina Clusiau | Artificial intelligence | Best Researcher Award

Dr. Sabrina Clusiau , Dragonfly, Comet Inc , Canada

Sabrina Clusiau is a Ph.D. candidate in Materials Engineering at McGill University, where she has been pursuing her research since 2021. She holds a Bachelor’s degree in Biomedical Engineering from École Polytechnique de Montréal (2019) and a Bachelor of Science in Anatomy and Cell Biology from McGill University (2015). With a professional background as a Software Developer at Object Research Systems in Montreal, Sabrina has been instrumental in designing and implementing code and user interfaces, particularly for the Dragonfly software. Her research, focused on optimizing Scanning Electron Microscopy (SEM) parameters using AI, has been published in prestigious journals. Sabrina has been recognized for her academic excellence with multiple awards, including the Graduate Excellence Fellowship and the McGill Engineering Doctorate Award

Professional Profile:

Orcid

Suitability for Best Researcher Award: Sabrina Clusiau

Sabrina Clusiau is a strong candidate for the Best Researcher Award due to her impactful research in materials engineering, particularly in integrating AI with SEM technology .Sabrina Clusiau is a promising researcher in the field of materials engineering with a strong focus on integrating artificial intelligence (AI) into microscopy and image analysis. Her innovative work on optimizing Scanning Electron Microscopy (SEM) parameters and developing automated workflows highlights her contribution to advancing materials science through technology. Her research not only pushes the boundaries of traditional microscopy but also improves the efficiency and accuracy of image processing techniques.

🎓Education:

Sabrina Clusiau earned her Ph.D. in Materials Engineering from McGill University, where she has been conducting research since 2021. She holds a Bachelor’s degree in Biomedical Engineering from École Polytechnique de Montréal, obtained in 2019, and a Bachelor of Science in Anatomy and Cell Biology from McGill University, awarded in 2015.

🏢Professional Experience:

Sabrina Clusiau has been working as a Software Developer at Object Research Systems in Montreal since 2019. In this role, she is responsible for designing, implementing, maintaining, and documenting code and user interfaces, with a focus on developing workflows in Dragonfly software to enhance user experience and address clients’ specific image processing needs. Prior to this, she served as a Continuous Improvement Intern at Pfizer in Montreal in 2018, where she created an electronic chart for operators using VBA in Excel, implemented it on a pilot line, and analyzed service contracts for expirations and renewals.

🏆Awards:

Sabrina Clusiau has received several prestigious awards in recognition of her academic achievements. She was honored with the Graduate Excellence Fellowship in both 2021 and 2023. In 2022, she was awarded the M&M Poster Award for her outstanding presentation, and in 2021, she also received the McGill Engineering Doctorate Award (MEDA) for her exceptional work in Materials Engineering.

Publication Top Notes:

Optimizing SEM Parameters for Segmentation with AI – Part 1: Generating a Training Set