Souhail Dhouib | Artificial Intelligence | Best Researcher Award

Posted on by ScienceFather

Dr. Ibrahim Ben Razek | Neurologie | Best Scholar Award

Dr of Université de Liège, Belgium

Ben Razek Ibrahim is a 4th-year medical resident in neurology with a robust educational background and diverse professional experience across Belgium and Switzerland. 🏥🧠 He holds a medical degree from Université de Liège and specialized qualifications in headaches and migraines from Universités de Paris et Montpellier, as well as advanced epilepsy courses. 📚 His dedication to neurology is reflected in his research and clinical practice, focusing on epilepsy and headache disorders. ✍️🔍 In addition to his clinical skills, Ben is known for his critical thinking, communication, empathy, attention to detail, and autonomy. 🌟💬❤️ His work on cravings for Swiss chocolate has been recognized in the Annals of Neurology. 🍫📜

Profile

Scopus

Education

  • Medical Degree: Université de Liège, Belgium (September 2014 — June 2020)
  • Degree in Headaches and Migraine: Universités de Paris et Montpellier (September 2022 — June 2023)
  • Advanced Courses in Epilepsy: Ligue francophone belge d’épileptologie (September 2021 — June 2023)

Experience

Ben Razek Ibrahim is a dedicated 4th-year medical resident specializing in neurology. His medical journey began at CHU de Liège, Belgium, where he gained extensive experience in general neurology under the guidance of Pr Maquet P. from October 2020 to September 2021. He then continued his residency at CHR Citadelle, Belgium, working in the general neurology unit and focusing on nerve and muscle diseases with Pr Maertens De Noordhout A. from October 2021 to September 2022. His journey took him to the Hôpitaux Universitaires de Genève, Switzerland, where he specialized in pre-surgical epilepsy under Pr Seeck M. and Pr Picard F. from October 2022 to September 2023. Currently, he is continuing his residency at CHU de Liège, Belgium.

Research Interests

Ben is passionate about neurology, with a particular focus on epilepsy, headaches, and migraines. His research interests have led to notable scientific contributions, including his publication on the newly developed craving for Swiss chocolate, accepted in the Annals of Neurology.

Awards

While specific awards are not mentioned, Ben’s published research in the Annals of Neurology is a significant achievement that reflects his contributions to the field of neurology. His work demonstrates his commitment to advancing knowledge in neurological disorders and his ability to conduct impactful research.

Publication Top Notes

  1. Research Focus: The publication explores an intriguing case of a newly developed craving for Swiss chocolate, contributing to the broader understanding of cravings and their neurological implications.
  2. Authors’ Contribution:
    • Ibrahim Ben Razek: Contributed as a lead author, showcasing his expertise in neurology and research.
    • Maria Isabel Vargas: Collaborated on the study, adding her knowledge and insights.
    • Daniel S. Schechter: Provided critical analysis and support in the research.
    • Margitta Seeck: Offered expertise and guidance, particularly in the context of epilepsy and neurological disorders.
  3. Institutional Context: Conducted at the University Hospital of Geneva and Faculty of Medicine, highlighting the high caliber of the research environment and the expertise of the contributing institutions.
  4. Significance: This publication adds valuable knowledge to the field of neurology, particularly in understanding the complexities of cravings and their potential neurological basis.
  5. Impact: Acceptance in a prestigious journal like Annals of Neurology underscores the quality and relevance of the research, potentially influencing future studies and clinical practices related to cravings and neurological conditions.

 

Dr Xueyan Dong | Remote Sensing Science and Technology

Posted on by ScienceFather

Dr Xueyan Dong : Leading Researcher in Remote Sensing Science and Technology

👩‍🎓 Dr. Xueyan Dong:

Welcome to the profile of Dr. Xueyan Dong, a dedicated researcher and expert in the field of Earth observation and information sciences. 🌍

📑 With a portfolio of published work and expertise in areas such as machine learning and computer vision, Dr. Xueyan Dong is not only shaping the future of geospatial sciences but also inspiring others to explore the intersection of technology and the natural world.

👩‍🎓 As a researcher, educator, and expert in her field, Dr. Dong continues to illuminate the path toward a more profound comprehension of Earth’s complexities. Through her endeavors, she invites us to envision a future where technology and environmental understanding coalesce, paving the way for new insights and discoveries.

💼 Professional Profiles:

SCOPUS

🎓 Educational Journey:

Bachelor of Engineering (B.E.) in Remote Sensing Science and Technology from Xi’an University of Science and Technology (2013-2017).

Master of Science in Cartography and Geographic Information Systems from Chang’an University (2017-2019).

Currently pursuing a Doctor of Science in Geological Information System at Chang’an University (2019-present).

🔬 Research Focus:

Dr. Dong’s expertise lies in leveraging cutting-edge technologies for remote sensing and image analysis, with a particular emphasis on:

Building edge detection from high-resolution remote sensing imagery.

Shadow detection in remote sensing images and its application to building extraction.

High-resolution remote sensing image segmentation using advanced convolutional neural networks.

Multilateral semantic approaches with dual relation networks for remote sensing image segmentation.

🌐 Field of Expertise:

Remote Sensing Science and Technology

Remote Sensing Data Processing and Analysis

Machine Learning

Deep Learning/Computer Vision

📚 Dr. Xueyan Dong’s Top Noted Publications:

[2018] Dense Connected Edge Feature Enhancement Network for Building Edge Detection from High Resolution Remote Sensing Imagery

[2019] A Review of Research on Remote Sensing Image Shadow Detection and Application to Building Extraction

[2020] U-shape Nonsubsampled Contourlet Convolution Neural Networks for High Resolution Remote Sensing Image Segmentation

[2021] Multilateral Semantic with Dual Relation Network for Remote Sensing Images Segmentation

🔬 Dr. Xueyan Dong’s Scientific Research:

Building Edge Detection (2018):

  • Focus: Dense Connected Edge Feature Enhancement Network for Building Edge Detection from High Resolution Remote Sensing Imagery.
  • Objective: Develop enhanced methods for accurately detecting building edges in high-resolution remote sensing imagery.
  • Impact: 🌆 Advancement in urban mapping and infrastructure analysis.

Shadow Detection and Building Extraction (2019):

  • Focus: A Review of Research on Remote Sensing Image Shadow Detection and Application to Building Extraction.
  • Objective: Evaluate and propose methodologies for shadow detection in remote sensing images, with application to building extraction.
  • Impact: 🏡 Enhancing precision in urban planning and object extraction.

High-Resolution Image Segmentation (2020):

  • Focus: U-shape Nonsubsampled Contourlet Convolution Neural Networks for High Resolution Remote Sensing Image Segmentation.
  • Objective: Develop advanced segmentation techniques for high-resolution remote sensing images.
  • Impact: 🛰️ Improved accuracy in land cover classification and environmental monitoring.

 

In conclusion, Dr. Xueyan Dong stands as a beacon of knowledge and innovation in the realm of geospatial sciences. 🌐 Her academic journey, marked by a Bachelor’s degree in Remote Sensing Science and Technology, a Master’s degree in Cartography and Geographic Information Systems, and ongoing pursuit of a Doctorate in Geological Information System, reflects a commitment to advancing our understanding of Earth’s dynamics.