Jing Hao | High Energy Physics | Best Researcher Award

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Dr. Jing Hao | High Energy Physics | Best Researcher Award

China Algorithm Engineer at Beijing, China

Jing Hao is an accomplished algorithm engineer at Baidu Inc. with a Master’s degree in Mechanical Engineering from HuaZhong University of Science and Technology and a Bachelor’s degree from China University of Mining and Technology. Specializing in advanced AI algorithms for visual and image applications, he has designed UAV inspection algorithms for the State Grid and improved defect detection systems. Jing’s academic contributions include pioneering glass surface segmentation methods and publishing in IEEE TCSVT. Passionate about integrating AI in healthcare, he stays updated with the latest technologies and shares insights through his WeChat account, OAOA, with over 130 original posts. High Energy Physics

Professional Profiles

Education

Master’s Degree in Mechanical Engineering – HuaZhong University of Science and Technology Postgraduate Recommendation: September 2020 – June 2022 Weighted Average Score: 89.43 / 100 Rank: 66 / 205 Thesis Title: Research on Visual Assisted System of Engineering Vehicles based on Panoramic Imaging Bachelor’s Degree in Mechanical Engineering – China University of Mining and Technology Graduated with Honors: September 2016 – June 2020 Weighted Average Score: 87.49 / 100 Rank: 22 / 325 Thesis Title: Design of Light Bridge Crane and Remote Consol. High Energy Physics

Work Experience

Baidu Inc., Beijing, China Algorithm Engineer, Visual Video and Image Application Group (July 2022 – Present) Designed UAV inspection algorithms for metal defects in transmission electricity lines of the State Grid and factory safety inspection algorithms. Developed a training scheme based on CAE (Context Autoencoder) self-supervised pre-training algorithm for UAV inspection algorithms. Conducted special data preprocessing for defect data and applied the CAE pretraining algorithm upon the Vision Transformer (ViT) architecture. Released the “Power Vision Large Model Test and Verification Report” with the State Grid Intelligent Research Institute, achieving a 4.25% increase in the AP50 metric. Explored the application of LLM in factory safety inspection, achieving higher accuracy rates using the MiniGPT4 image-text multimodal foundation large model. High Energy Physics

Rewards

National Scholarship (2018) First-class Scholarship of HUST (2021) First-class Scholarship of CUMT (2019) Second-class Scholarship of CUMT (2017) Outstanding Student of CUMT (2018) Excellent Student Leader of Jiangsu Province (2019) High Energy Physics

Publications

  1. T-mamba: Frequency-enhanced gated long-range dependency for tooth 3d cbct segmentation, Publication date: 2024.
  2. Language-aware multiple datasets detection pretraining for DETRs, Publication date: 2024.
  3. GEM: Boost Simple Network for Glass Surface Segmentation via Segment Anything Model and Data Synthesis, Publication date: 2024.
  4. GEM: Boost Simple Network for Glass Surface Segmentation via Vision Foundation Models, Publication date: 2023.
  5. Simple parameter-free self-attention approximation, Publication date: 2023.
  6. A stronger stitching algorithm for fisheye images based on deblurring and registration, Publication date: 2023.
  7. A lightweight and accurate recognition framework for signs of X-ray weld images, Publication date: 2022.
  8. Heterogeneous Generative Knowledge Distillation with Masked Image Modeling
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Amirali Farmani | High energy physics | Best Researcher Award

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Mr. Amirali Farmani | High energy physics | Best Researcher Award

PHD at Sahand University of Technology, Iran

Amirali Farmani is a Ph.D. candidate in Material Science at Sahand University of Technology, focusing on enhancing hydrogen and oxygen evolution reactions on electrodeposited nickel electrodes. He holds a Bachelor of Engineering in Material Engineering with a specialization in Metallurgy from Bonab University and a Master of Science in Material Science from Sahand University. His research includes innovative approaches to corrosion protection, nanocrystalline nickel films, and electrochemical water splitting. Amirali has contributed significantly to his field with several publications in esteemed journals and has been involved in consultancy projects, including designing novel corrosion protection systems. High energy physics

Professional Profiles

Academic and Professional Background

From September 2013 to August 2017, Amirali Farmani pursued a Bachelor of Engineering in Material Engineering with a specialization in Metallurgy at Bonab University, East Azerbaijan. Continuing his academic journey, from September 2017 to June 2020, he completed a Master of Science in Material Science focusing on Corrosion and Material Protection at Sahand University of Technology, Tabriz, East Azerbaijan. Currently, he is a Ph.D. candidate in Material Science, also at Sahand University of Technology, where his research has focused on enhancing hydrogen and oxygen evolution reactions on electrodeposited nickel electrodes through innovative approaches, as evidenced by several publications in esteemed journals.  High energy physics

Areas of Research

Functional Nanomaterials Energy Materials Corrosion and Surface Science. High energy physics

Research Focus

The researcher in question appears to focus on the fields of material science and electrochemistry, with a specific interest in the synthesis and characterization of electrode materials. Their work includes studying the enhancement of hydrogen and oxygen evolution reactions on nickel electrodes, exploring the effects of mesoporosity, magnetohydrodynamics, and high gradient magnetic forces. They also investigate the corrosion behavior and ion release of chromium-cobalt alloys, particularly under the influence of chemical passivation. Additionally, they have delved into the production of nanocrystalline nickel films using ultrasonic-assisted pulse electrodeposition, examining the competition between mass transport and nucleation in determining corrosion resistance. High energy physics

Publications

  1. Ultrasonic-assisted pulse electrodeposition process for producing nanocrystalline nickel films and their corrosion behavior: Competition between mass transport and nucleation, Publication date: 2024.
  2. Effect of chemical passivation on corrosion behavior and ion release of a commercial chromium-cobalt alloy, Publication date: 2020.
  3. Boosting hydrogen and oxygen evolution reactions on electrodeposited nickel electrodes via simultaneous mesoporosity, magnetohydrodynamics and high gradient magnetic force, Publication date: 2020.
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