Naima Sultana | Sustainable city | Women Researcher Award

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Mrs. Naima Sultana | Sustainable city | Women Researcher Award

Mrs. Naima Sultana, IDEC Institute, Hiroshima University, Bangladesh

Eligibility for the Research for Women Researcher Award

Publication profile

Educational Background

Naima Sultana holds a Master’s degree in Agricultural Extension and Rural Development (2013) and a Bachelor’s degree in Agriculture (2010) from Bangabandhu Sheikh Mujibur Rahman Agricultural University. Her strong academic record, with GPAs of 3.70 and 3.56 on a 4-point scale, reflects her commitment and expertise in the field. This solid educational foundation is a significant asset for the Research for Women Researcher Award.

Professional Experience

Naima has a robust professional background in agriculture, including her current role as Senior Assistant Director (Agri. Eco.) at the National Agriculture Training Academy (NATA), a position she has held since February 2019. Her previous roles include Instructor at the Agricultural Training Institute and Agriculture Extension Officer at the Upazila Agriculture Office. Her diverse experience across different positions and responsibilities demonstrates her extensive knowledge and practical skills in agriculture and rural development.

Training Records

She has completed various training programs, including courses on Quality Seed Production, Disaster Management, and Eco-friendly Plant Protection Technology. These training records showcase her dedication to continuous learning and staying updated with advancements in her field, further strengthening her suitability for the Research for Women Researcher Award.

Publication 

Urban greening in Dhaka: Assessing rooftop agriculture suitability using GIS and MCDM techniques

Conclusion

Naima Sultana’s comprehensive educational background, extensive professional experience, and commitment to ongoing training align well with the criteria for the Research for Women Researcher Award. Her achievements and contributions in agriculture and rural development highlight her potential as a strong candidate for this award.

 

Xin Wen | City sustainability | Best Researcher Award

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Mr. Xin Wen | City sustainability | Best Researcher Award

Mr. Xin Wen, Harbin Institute of Technology, China

📘 Xin Wen is currently a Master’s student in Business Administration at the Harbin Institute of Technology, focusing on Advanced Statistics and Decision Theory (2023-2025). He holds a Bachelor’s degree in Information Management from Nanjing Tech University (2019-2023). 🌍 His research includes sustainable city assessment in Shandong and food safety risk prediction, with publications in high-impact journals. Xin’s professional experience spans marketing at Amer Sports and data analysis at BSH Home Appliances. He is an award-winning participant in various academic competitions. 💻 Skills: Python, Tableau, SPSS. 🎿 Interests: Skiing, rock climbing, and video creation with 257k+ plays.

 

Publication profile

Orcid

📚 Education

Wen Xin is currently pursuing a Master’s degree in Business Administration at Harbin Institute of Technology (2023-2025), specializing in advanced statistical methods and decision-making theories. He previously earned a Bachelor’s degree in Information Management from Nanjing Tech University (2019-2023), where he studied data analysis, systems engineering, and data visualization.

🧪 Academic Experience

Wen is engaged in an integrated city sustainability assessment study in Shandong, utilizing deep learning and multi-criteria decision-making. He has developed models using LSTM and GCN and contributed to a paper published in Sustainable Cities and Society. He also participated in a national key R&D project focusing on food safety risk prediction, publishing his findings in Foods.

🏆 Awards

Wen’s excellence is reflected in his awards, including First Prize in the Global Brand Planning Competition in Singapore and top honors in data analysis and mathematics competitions in China.

Research Focus

Xin Wen is a researcher whose work spans multiple domains, focusing particularly on sustainability and food safety. Their research on sustainability is exemplified by the recent study on city sustainability assessment using multicriteria decision-making and deep learning methodologies. This approach integrates advanced AI techniques with environmental science to evaluate urban sustainability comprehensively 🌆♻️. Additionally, Xin Wen has contributed to food safety research, employing ensemble deep learning for predicting food safety risks, specifically concerning heavy metals in grain processing 🌾⚖️. This indicates a dual focus on leveraging technology to enhance environmental sustainability and food security, crucial areas for global health and sustainability 🌍🔬.

Publication Top Notes

Sustainability assessment of cities using multicriteria decision-making combined with deep learning methods

A Voting-Based Ensemble Deep Learning Method Focused on Multi-Step Prediction of Food Safety Risk Levels: Applications in Hazard Analysis of Heavy Metals in Grain Processing Products