Xiaolin Yang | CImage analysis | Best Researcher Award

Posted on by ScienceFather

Dr. Xiaolin Yang | Image analysis | Best Researcher Award

Dr at China university of mining and technology, China

Xiaolin Yang is a skilled Business Analyst and Postdoctoral Researcher at Henan Investment Group. With a solid background in mineral process engineering, his expertise spans industry research, project management, and production optimization. Xiaolin holds a Bachelor’s and a Ph.D. in Mineral Process Engineering from the China University of Mining and Technology, specializing in mineral processing, machine learning, and image analysis. His dedication to academic excellence and practical application makes him a valuable asset in the mineral industry.

Publication Profile

scopus

Education🎓 

.Bachelor of Mineral Process Engineering | China University of Mining and Technology, 2015–2019 | Focus: Mineral separation methods and equipment. Doctor of Mineral Process Engineering | China University of Mining and Technology, 2019–2024 | Research areas: Mineral processing, machine learning, image analysis. Xiaolin’s academic journey emphasized innovation in mineral separation, blending engineering with data science to improve mineral processing efficiency and accuracy.

Experience💼 

Postdoctoral Researcher | Henan Investment Group, 2024–Present | Xiaolin’s role involves comprehensive industry research, preparing assessment reports, and offering investment insights and recommendations. His project management tasks focus on feasibility assessments and evaluating the effectiveness of production processes, aiming to optimize industrial production and implement innovative solutions in mineral processing.

Awards and Honors🏆 

Published Author | Xiaolin has authored notable academic articles, such as in Journal of Materials Research and Technology (2021), Energy (2022), and Expert Systems with Applications (2024). His work, recognized for its significance in mineral processing and machine learning, highlights his expertise in utilizing advanced algorithms for practical industry challenges.

Research Focus🔍

Research Interests | Xiaolin’s research delves into mineral processing, machine learning applications, and image analysis. His studies, including deep learning for ash determination in coal flotation, explore novel algorithms to enhance mineral processing accuracy, bridging engineering and artificial intelligence for industrial optimization.

Publication  Top Notes

Multi-scale neural network for accurate determination of ash content in coal flotation concentrate

Authors: Yang, X., Zhang, K., Thé, J., Tan, Z., Yu, H.

Journal: Expert Systems with Applications, 2025, 262, 125614

Description: This paper presents a multi-scale neural network model that accurately determines ash content in coal flotation concentrate using froth images, leveraging deep learning to enhance mineral processing efficiency.

STATNet: One-stage coal-gangue detector for real industrial applications

Authors: Zhang, K., Wang, T., Yang, X., Tan, Z., Yu, H.

Journal: Energy and AI, 2024, 17, 100388

Description: The STATNet model is introduced as a coal-gangue detection system using a one-stage deep learning algorithm, tailored for industrial application with a focus on real-time processing.

COFNet: Predicting surface area of covalent-organic frameworks

Authors: Wang, T., Yang, X., Zhang, K., Tan, Z., Yu, H.

Journal: Chemical Physics Letters, 2024, 847, 141383

Description: COFNet utilizes deep learning to predict the specific surface area of covalent-organic frameworks, combining structural image analysis with statistical features for accurate predictions.

Enhancing coal-gangue detection with GAN-based data augmentation

Authors: Zhang, K., Yang, X., Xu, L., Tan, Z., Yu, H.

Journal: Energy, 2024, 287, 129654

Description: This study employs GAN-based data augmentation and a dual attention mechanism to improve coal-gangue object detection, aiming to refine accuracy in complex industrial environments.

Multi-step carbon price forecasting using hybrid deep learning models

Authors: Zhang, K., Yang, X., Wang, T., Tan, Z., Yu, H.

Journal: Journal of Cleaner Production, 2023, 405, 136959

Description: A hybrid deep learning model for multi-step forecasting of carbon prices is proposed, integrating multivariate decomposition to enhance predictive reliability.

PM2.5 and PM10 concentration forecasting with spatial–temporal attention networks

Authors: Zhang, K., Yang, X., Cao, H., Tan, Z., Yu, H.

Journal: Environment International, 2023, 171, 107691

Description: This article introduces a spatial–temporal attention mechanism for PM2.5 and PM10 forecasting, using convolutional neural networks with residual learning to tackle air quality predictions.

Ash determination of coal flotation concentrate using hybrid deep learning model

Authors: Yang, X., Zhang, K., Ni, C., Tan, Z., Yu, H.

Journal: Energy, 2022, 260, 125027

Description: This work features a hybrid model that utilizes deep learning and attention mechanisms to determine ash content in coal flotation, contributing to process optimization.

Influence of cation valency on flotation of chalcopyrite and pyrite

Authors: Yang, X., Bu, X., Xie, G., Chehreh Chelgani, S.

Journal: Journal of Materials Research and Technology, 2021, 11, pp. 1112–1122

Description: This comparative study explores how different cation valencies affect chalcopyrite and pyrite flotation, contributing to better separation techniques in mineral processing.

Conclusion

Xiaolin Yang is a compelling candidate for the Best Researcher Award. His strengths in applying AI and image analysis to mineral processing reflect a unique skill set that is highly relevant for advancing research and industry practices. With further interdisciplinary work and expanded research visibility, Xiaolin is well-positioned to make impactful contributions and earn recognition in his field.

Baolei Guo | Vascular Surgery | Best Researcher Award

Posted on by ScienceFather
Assoc Dr.  Department of Vascular Surgery, Zhongshan Hospital Fudan University, china

Dr. Baolei Guo is an Associate Professor at Fudan University and an Attending Doctor in the Department of Vascular Surgery at Zhongshan Hospital, Fudan University, where he has served since 2017. He earned his MD and Ph.D. from Shanghai Medical College, Fudan University, and has been involved in numerous research projects, focusing on vascular surgery, medical imaging, and device development. Dr. Guo has received multiple prestigious grants, including the Health Youth Talent Training Program and the National Natural Science Foundation of China Youth Fund. His work is published in top journals, highlighting innovations in vascular surgery and imaging techniques.

 

Professional Profiles:

Scopus

 

🏢 Employment

Associate Professor, Fudan University (03/2023-present)Attending Doctor, Department of Vascular Surgery, Zhongshan Hospital Fudan University (10/2020-present)Resident Doctor, Department of Vascular Surgery, Zhongshan Hospital Fudan University (07/2017-10/2020)Resident Doctor, Department of Anesthesiology, Zhongshan Hospital Fudan University (07/2013-09/2014)

🎓 Education Experience

Shanghai Medical College, Fudan UniversityMD, PhD (2014-2017)Department of Chemical Engineering, Imperial College LondonPhD Visiting Scholar (2016-2017)Shanghai Medical College, Fudan UniversityMSc (2010-2013)Hebei Chengde Medical CollegeBSc (2005-2010)

💰 Current Grants

Health Youth Talent Training Program of Shanghai Municipal Health Commission2022YQ013, 2023/01-2025/12, 300,000¥, PIShanghai “Medical Academy Rising Star” Youth Medical Talent Training Funding ProgramR2021-016, 2022/01-2024/12, 100,000¥, PI

Dr. Baolei Guo for the Best Researcher Award

Strengths for the Award:

  1. Extensive Research and Publications: Dr. Baolei Guo has an impressive record of publications in prestigious journals like European Journal of Vascular and Endovascular Surgery, Journal of Vascular Surgery, and IEEE Transactions on Biomedical Engineering. His research primarily focuses on vascular surgery, particularly on aortic dissection, endovascular repair, and imaging technologies, which are highly relevant to advancements in vascular health.
  2. Leadership in Research Projects: As the Principal Investigator (PI) for multiple significant grants, Dr. Guo has demonstrated strong leadership and innovation in his field. His involvement in pioneering projects such as the study of PET-CT/4D-PCMR combined with IVUS multimodal imaging technology and the development of plaque surface cleaning devices during CAS highlights his commitment to improving surgical outcomes and patient care.
  3. International Collaboration and Recognition: Dr. Guo’s international experience as a visiting scholar at Imperial College London, coupled with his collaboration with researchers globally, underlines his recognition in the academic community. This global perspective enhances the impact and applicability of his research in diverse healthcare settings.
  4. Clinical Expertise: With extensive clinical experience as an attending and resident doctor in vascular surgery, Dr. Guo bridges the gap between research and practice. His work directly influences clinical procedures, making his research highly translational and impactful.
  5. Innovative Approach: Dr. Guo’s research integrates advanced imaging techniques and computational modeling, contributing to the development of cutting-edge technologies in vascular surgery. His work on creating a swine model for type B aortic dissection and his studies on the hemodynamics of vascular diseases exemplify his innovative approach.

Areas for Improvement:

  1. Broader Dissemination of Research: While Dr. Guo has a robust publication record, expanding his reach through more public-facing platforms, such as conferences, seminars, or involvement in international committees, could further enhance his visibility and influence in the global research community.
  2. Collaboration with Industry: Engaging with the medical device industry for the translation of his research into commercially viable products could significantly boost the practical application of his work. This would also open avenues for securing additional funding and enhancing the real-world impact of his research.
  3. Diversity of Research Topics: While Dr. Guo has established expertise in vascular surgery, exploring related fields such as cardiovascular biomaterials or regenerative medicine could diversify his research portfolio and contribute to a more comprehensive approach to vascular health.

 

✍️Publications Top Note :

  • Fauzi, M.F.M., Johari, N.H., Mokhtarudin, M.J.M., Yusoff, B.M., Guo, B.
    Fluid-Structure Interaction Modelling of Blood Flow in Peripheral Arterial Disease.
    Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 2024, 119(1), pp. 117–133.
  • Gao, P., Guo, B., Zhang, M., Dai, X., Liu, H.
    Modeling Method of Aortic Homeostasis Considering Three-Dimensional Residual Deformation.
    Yiyong Shengwu Lixue/Journal of Medical Biomechanics, 2024, 39(3), pp. 510–517.
  • Zhang, S., Guo, B., Hu, M.
    Some Reflections on Investigating the Long Term Healthy Life Quality of Acute Type B Aortic Dissection Patients.
    European Journal of Vascular and Endovascular Surgery, 2024, 67(3), pp. 524–525.
  • Guo, B., Chen, C., Li, Y., Fu, W., Zhang, W.W.
    Principles of Optimal Antithrombotic Therapy for Iliac Venous Stenting (POATIVES): A National Expert-Based Delphi Consensus Study.
    Journal of Vascular Surgery: Venous and Lymphatic Disorders, 2024, 12(2), 101739.
  • Armour, C., Guo, B., Saitta, S., Dong, Z., Xu, X.Y.
    The Role of Multiple Re-Entry Tears in Type B Aortic Dissection Progression: A Longitudinal Study Using a Controlled Swine Model.
    Journal of Endovascular Therapy, 2024, 31(1), pp. 104–114.
  • Wang, K., Armour, C.H., Guo, B., Dong, Z., Xu, X.Y.
    A New Method for Scaling Inlet Flow Waveform in Hemodynamic Analysis of Aortic Dissection.
    International Journal for Numerical Methods in Biomedical Engineering, 2024.

Conclusion:

Dr. Baolei Guo stands out as a strong candidate for the Best Researcher Award due to his significant contributions to vascular surgery research, his leadership in innovative projects, and his integration of clinical expertise with research. By expanding his research dissemination efforts and fostering collaborations with industry, Dr. Guo could further elevate his impact in the field. His work not only advances scientific knowledge but also directly improves patient outcomes, making him a deserving contender for this prestigious award.