Sufen Dong | Civil Engineering | Best Researcher Award

Assoc Prof Dr. Sufen Dong | Civil Engineering | Best Researcher Award

Associate Professor, Dalian University of Technology, China.

Prof. Dr. Sufen Dong is an Associate Professor of Transportation and Logistics at Dalian University of Technology and a Visiting Researcher at the National Rail Transit Electrification and Automation Engineering Research Center, Hong Kong Branch. Her research focuses on multifunctional concrete, nanotechnology, and structural health monitoring. She has published 70+ research papers, authored 1 book, and holds 5 national invention patents. In 2022, she was named among the World’s top 2% scientists by Stanford University.

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Education πŸŽ“

Prof. Dr. Sufen Dong holds a Ph.D. in Structural Engineering from Dalian University of Technology, completed in 2018. She also earned her Master of Engineering Science degree from Chongqing University in 2009 and her Bachelor of Engineering Science from Shandong Jiaotong University in 2006. Her academic journey reflects a solid foundation in engineering, with a focus on structural engineering, preparing her for a distinguished career in academia and research. Prof. Dong’s expertise and contributions are recognized through her work in structural design, analysis, and innovative engineering solutions.

Experience 🏫

Prof. Dr. Sufen Dong is currently serving as an Associate Professor at the School of Transportation and Logistics, Dalian University of Technology, a position she has held since 2021. Prior to this, she completed a postdoctoral fellowship at the School of Material Science and Engineering at the same university between 2019 and 2021, where she furthered her research in material sciences as applied to transportation and logistics. Earlier in her career, she worked as a lecturer at the School of Civil Engineering, Inner Mongolia University of Technology, from 2009 to 2014, laying the groundwork for her academic and research contributions in engineering.

Research Interests πŸ”

Smart Concrete

Prof. Dong explores the integration of smart technologies into concrete, enhancing its ability to respond to environmental changes and structural conditions. Her work aims to improve the performance and longevity of concrete structures through innovative formulations.

Nanotechnology

She investigates the use of nanomaterials to enhance the properties of construction materials. By manipulating materials at the nanoscale, her research seeks to develop stronger, lighter, and more durable infrastructure solutions.

Sensing Technology

Prof. Dong focuses on embedding advanced sensing technologies within structures to monitor their condition in real time. This research aims to facilitate proactive maintenance and ensure safety by providing critical data on structural performance.

Structural Health Monitoring

Her research in structural health monitoring involves developing systems that can assess the integrity and safety of structures over time. By implementing real-time monitoring, she aims to extend the lifespan of engineering structures and reduce maintenance costs.

Traffic Detection

In the area of traffic detection, Prof. Dong develops innovative systems to monitor and analyze traffic patterns. Her work aims to improve traffic management and contribute to smarter, more efficient transportation systems.

Awards πŸ†

World’s Top 2% Scientists – Stanford University (2022)

Publications Top Notes πŸ“š

Self-heating Ultra-high Performance Concrete – Cement and Concrete Composites, 2023. Link, cited by 28 articles.

Nanomechanical Characteristics of Nano-engineered Concrete – Engineering, 2022. Link, cited by 68 articles.

Fatigue Properties of Concrete Under Flexure – Cement and Concrete Composites, 2022. Link, cited by 23 articles.

Energy-harvesting Concrete – Journal of Materials Science, 2021. Link, cited by 26 articles.

Nano-TiO2 Inhibition in Marine Concrete – Nanotechnology, 2022. Link, cited by 8 articles.

 

 

 

 

 

 

 

Omar Soufi | Engineering | Best Researcher Award

Mr. Omar Soufi | Engineering | Best Researcher Award

Dr. of Mohammed V University of Rabat Mohammadia School of Engineering, Morocco

Dr. Omar Soufi πŸŽ“, born on May 13, 1993, in Casablanca, is a distinguished expert in AI, Data Science, and GIS 🌐. With a Doctorate from EMI Rabat, his research excels in enhancing satellite imagery using deep learning πŸ›°οΈ. Fluent in Arabic, French, English, and Spanish 🌍, he has held roles such as Project Manager and Head of BI & Decision Support Tools πŸ“ˆ. Certified in AI, ML, and data analytics πŸ“œ, Dr. Soufi continues to drive innovation and strategic advancements πŸš€.

Professional Profile:

EducationπŸŽ“

Dr. Omar Soufi πŸŽ“ holds a Doctorate in AI from EMI Rabat (2023), focusing on improving satellite image quality using deep learning πŸ›°οΈ. He also completed his engineering studies at Polytechnique Grenoble, ENSIMAG (2020) in Information Systems Engineering, and at EMI Rabat in Software Engineering and Quality πŸ’». Prior to this, he earned a Diploma in University Studies (2015) and a Bachelor’s in Mechanical Engineering Sciences and Techniques from ARM MerkΓ¨ns (2014) πŸ”¬. His academic journey began with a Baccalaureate in Life and Earth Sciences (2011) 🌍.

 

Professional Experience πŸ“š

 

Dr. Omar Soufi πŸŽ“ has a rich professional background in AI, Data Science, and GIS 🌐. Starting as a Project Manager in IT (2016), he advanced to Team Leader at the Decision Support Center (2017) πŸ“Š. By 2020, he became Head of BI & Decision Support Tools, and in 2022, he led the Geomatics & Decision Support Tools division πŸš€. His latest role in 2024 is AI Missions Manager. Dr. Soufi’s expertise includes creating data-driven solutions and improving organizational performance πŸ“ˆ.

Research Interest πŸ”

Dr. Omar Soufi πŸŽ“ is deeply passionate about AI, Data Science, and GIS 🌐. His research interests focus on enhancing satellite imagery quality using deep learning πŸ›°οΈ, spatial remote sensing, and big data analytics πŸ“Š. Dr. Soufi is dedicated to advancing computational methods for improved data visualization, decision-making tools, and innovative applications in geomatics and spatial data analysis πŸš€. His work aims to drive technological innovation and strategic insights, contributing significantly to these cutting-edge fields πŸ“ˆ.

Award and HonorπŸ†

Dr. Omar Soufi πŸŽ“ has received numerous awards and honors for his contributions to AI, Data Science, and GIS 🌐. Notably, he was recognized for his groundbreaking research in enhancing satellite imagery using deep learning πŸ›°οΈ. His accolades include prestigious certifications in AI, ML, and data analytics πŸ“œ, and he has been honored for his leadership roles in IT and decision support tools πŸ“ˆ. Dr. Soufi’s commitment to innovation and excellence has earned him a reputation as a leading expert in his field πŸš€.

Research Skills🌟

Dr. Omar Soufi πŸŽ“ possesses exceptional research skills in AI, Data Science, and GIS 🌐. He excels in deep learning applications for enhancing satellite imagery πŸ›°οΈ and has extensive experience in big data analytics, data visualization, and computational methods πŸ“Š. Proficient in developing innovative decision-making tools and systems, Dr. Soufi’s expertise extends to creating distributed systems for real-time data processing πŸš€. His analytical abilities and strategic insights drive technological advancements and practical solutions in his research fields πŸ“ˆ.

AchievementsπŸ…

  • πŸ›°οΈ Enhanced satellite imagery quality using deep learning in his doctoral research.
  • 🌐 Specialized in AI, Data Science, and GIS with significant contributions.
  • πŸ“Š Developed innovative big data analytics and decision-making tools.
  • πŸ’» Led successful projects in IT and decision support as a Project Manager and Team Leader.
  • πŸš€ Headed the Geomatics & Decision Support Tools division.
  • πŸ“ˆ Recognized for leadership roles and strategic advancements in data-driven solutions.
  • πŸ“œ Earned prestigious certifications in AI, ML, and data analytics.
  • 🌍 Multilingual proficiency in Arabic, French, English, and Spanish.
  • πŸ‘¨β€πŸ« Created educational platforms and e-learning solutions during his academic projects.
  • πŸ” Published research and received accolades in AI and data science communities.

ProjectsπŸ…

  • πŸ“š E-learning Platform: Designed and implemented an e-learning platform at EMI.
  • πŸ“Š Big Data Architecture: Developed a big data architecture for data analysis and processing.
  • πŸŽ“ Recommendation System: Created a platform for recommending educational resources.
  • 🌐 Data Visualization Web App: Built a web application for data visualization and processing.
  • πŸ–₯️ Distributed Data Processing System: Implemented a distributed system for streaming data using Kafka, Flink, Cassandra, and Grafana.
  • πŸ›°οΈ Satellite Super-Resolution: Worked on super-resolution of satellite images using deep learning during his final-year internship at CRTS Rabat.
  • πŸš€ Space Station Management: Designed a management platform for a space station during an engineering internship at CRERS Rabat.
  • 🌾 Agricultural Bulletin Platform: Developed a platform for disseminating agricultural bulletins for CRTS Rabat.

PublicationsπŸ…πŸ“š

  • Study of deep learning-based models for single image super-resolutionπŸ…πŸ“š
    • Author(s): Soufi, O., Belouadha, F.Z.
    • Year: 2022
    • Journal: Revue d’Intelligence Artificielle
    • Volume: 36
    • Issue: 6
    • Pages: 939-952
    • DOI: 10.18280/ria.360616

 

  • FSRSI: New deep learning-based approach for super-resolution of multispectral satellite imagesπŸ…πŸ“š
    • Author(s): Soufi, O., Belouadha, F.Z.
    • Year: 2023
    • Journal: IngΓ©nierie des SystΓ¨mes d’Information
    • Volume: 28
    • Issue: 1
    • Pages: 113-132
    • DOI: 10.18280/isi.280112

 

  • Deep learning technique for image satellite processingπŸ…πŸ“š
    • Author(s): Soufi, O., Belouadha, F.Z.
    • Year: 2023
    • Journal: Intell Methods Eng Sci
    • Volume: 2
    • Issue: 1
    • Pages: 27-34
    • Month: March
    • DOI: Not provided

 

  • Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution ApproachπŸ…πŸ“š
    • Author(s): Soufi, O., Belouadha, F.Z.
    • Year: 2023
    • Journal: Journal of Environmental Treatment Techniques
    • Volume: 11
    • Issue: 2
    • Pages: 44-49
    • DOI: Not provided

 

  • An intelligent deep learning approach to spacecraft attitude control: the case of satellitesπŸ…πŸ“š
    • Author(s): Soufi, O., Belouadha, F.Z.
    • Year: 2023
    • Status: Under evaluation