Mr. Haoran Jiang | Decision-making and Problem-solving | Best Researcher Award

Shanghai AI Lab, China

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🌟 Summary

Haoran Jiang is a dedicated researcher in Operations Research and Cybernetics, specializing in weakly supervised and representation learning. With a solid academic foundation and hands-on experience in various advanced research projects, he has published multiple papers in renowned conferences and journals. His commitment to personal growth and community service reflects his leadership skills and passion for knowledge.

🎓 Education

University of Chinese Academy of Sciences (UCAS): M.S. in Operations Research and Cybernetics (Sept. 2021 – Jun. 2024), GPA: 3.82/4, focusing on Weakly Supervised Learning and Representation Learning, with coursework in Pattern Recognition, NLP, and Optimization.

Hunan University (HNU): B.S. in Statistics (Sept. 2017 – Jun. 2021), GPA: 3.85/4 (Rank: 1/29), with coursework in Mathematical Analysis, Probability Theory, and Data Mining.

💼 Professional Experience

As a researcher, Haoran has worked on projects such as Interpretable Semantic Disambiguation (Jun. 2023 – Present), where he developed mechanisms for attribute-based feature extraction. He also contributed to Contrastive Learning for Complementary Label Learning (Aug. 2022 – Mar. 2023), proposing an approach that improved state-of-the-art methods by up to 14.61%. In the Image Tampering Detection project (Aug. 2022 – Oct. 2022), he designed a module for semantic suppression, enhancing detection accuracy. Notably, he established a new X-ray dataset for COVID-19 detection, achieving 72.5% accuracy using zero-shot learning.

🔍 Research Interests

Haoran’s research interests include weakly supervised learning, representation learning, contrastive learning, and image recognition and analysis, alongside optimization techniques.

🏆 Honors & Awards

He has received numerous accolades, including the National Scholarship (Top 1%) and Outstanding Graduate from Hunan Province, as well as multiple prizes in mathematics and translation competitions.

🤝 Community Engagement

Haoran actively engages with the community as a Deputy Grade Leader at HNU, organizing educational events, and as a commissioner for party branch activities at UCAS. He volunteers for various initiatives and is a proud member of the university basketball team.

Notable Publications

Dr. Landi Bai | Decision-making and Problem-solving | Best Researcher Award

Tianjin University, China

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Scopus 

🎓 Education

Landi Bai earned her Ph.D. in Electrical and Information Engineering from Tianjin University in 2024.

💼 Professional Experience

Currently, she serves as an Assistant Research Fellow at the School of Electrical and Information Engineering at Tianjin University.

🔍 Research Interests

Her research focuses on oil-water two-phase flow dynamics, flow pattern evolution, conductance sensors, and recurrence analysis.

📚 Key Contributions

In her recent work, Landi investigates oil-water flow patterns in vertical large-diameter pipes using innovative mini-conductance and multi-electrode array measurement systems. Her findings on flow pattern transitions provide valuable insights for oilfield production logging.

🏆 Publications and Achievements

Landi has published 20 journals in SCI and Scopus, holds 6 patents, and her work has been cited extensively, including a notable publication:
[1] Experimental study of oil-water two-phase flow patterns, Flow Measurement and Instrumentation (2024).

 

Notable Publications