Mr. Haoran Jiang | Decision-making and Problem-solving | Best Researcher Award |3237

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

Shanghai AI Lab, China

Profile 

Google scholar 

🌟 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

Safl-net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection

Authors: Z. Sun, H. Jiang, D. Wang, X. Li, J. Cao

Journal: Proceedings of the IEEE/CVF International Conference on Computer Vision

Year: 2023

Image recognition and empirical application of desert plant species based on convolutional neural network

Authors: J. Li, S. Sun, H. Jiang, Y. Tian, X. Xu

Journal: Journal of Arid Land

Year: 2022

ComCo: Complementary supervised contrastive learning for complementary label learning

Authors: H. Jiang, Z. Sun, Y. Tian

Journal: Neural Networks

Year: 2024

Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes

Authors: H. Jiang, Z. Sun, Y. Tian

Journal: AAAI (Oral)

Year: 2024

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

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

Tianjin University, China

Profile 

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

Experimental study of oil-water two-phase flow patterns in a vertical large diameter pipe

Authors: Bai, L., Jin, N., Zhang, J., Ouyang, L., Wang, C.

Journal: Flow Measurement and Instrumentation

Year: 2024

Nonlinear Analysis for Identification of Vertical Upward Oil-Water Two-Phase Flow Patterns

Authors: Zhang, Z., Jin, N., Bai, L., Ren, W., Wei, J.

Journal: IEEE Sensors Journal

Year: 2024

Water Holdup Measurement in Oil-Water Flows with Staggered Double Helix Microwave Sensor

Authors: Bai, L., Jin, N., Ma, J., Liu, W.

Journal: IEEE Sensors Journal

Year: 2023

Measurement of Inclined Oil-Water Two-Phase Flows With the Combination of Electromagnetic Flowmeter and Differential Pressure Sensor

Authors: Liu, Y., Tang, Z., Bai, L., Jiang, B., Jin, N.

Journal: IEEE Sensors Journal

Year: 2023

Soft Measurement of Oil–Water Two-Phase Flow Using a Multi-Task Sequence-Based CapsNet

Authors: OuYang, L., Jin, N., Bai, L., Ren, W.

Journal: ISA Transactions

Year: 2023

Ms.Wanting Zhu | Decision-making and Problem-solving | Best Researcher Award

Ms.Wanting Zhu | Decision-making and Problem-solving | Best Researcher Award

School of Electronic Information, Central South University, China

🔗 Profile

Orcid 

🎓Early Academic Pursuits 

XiaoLei Gao’s journey in the academic realm began with a passion for nursing science, which led her to pursue advanced education and specialized training. Her commitment to excellence was evident from her early days as a student, where she excelled in her coursework and developed a keen interest in nursing management and education. XiaoLei’s dedication to her field was further solidified through her active participation in various research projects, where she gained invaluable experience and honed her skills in critical thinking and problem-solving.

🏥Professional Endeavors 

Upon completing her academic training, XiaoLei Gao embarked on a distinguished career in nursing. She joined the Nursing School at Xinxiang Medical University, where her expertise and leadership qualities quickly earned her the position of Department Head. In this role, she has been instrumental in shaping the curriculum and enhancing the quality of nursing education. XiaoLei’s professional endeavors are not limited to academia; she has also been actively involved in nursing management, where she applies her research findings to improve the operational efficiency and well-being of nursing staff.

📚Contributions and Research Focus 

XiaoLei Gao’s research primarily focuses on the interplay between emotional intelligence, occupational well-being, and work engagement among clinical nurses. Her landmark study, “Relationship between emotional intelligence, occupational well-being, and work engagement among Chinese clinical nurses,” has garnered significant attention in the academic community. Through this research, she has highlighted the critical role of emotional intelligence in enhancing the work engagement of nursing staff. XiaoLei’s contributions extend beyond this study; she has been involved in multiple research projects, consultancy endeavors, and industry collaborations, reflecting her commitment to advancing nursing science.

🏆Accolades and Recognition 

XiaoLei Gao’s dedication and contributions to nursing science have not gone unnoticed. She has received several accolades, including prestigious research grants and commendations for her innovative approaches to nursing management and education. Her work has been published in reputable journals, including an article indexed in SCI, showcasing her impact on the global academic community. Additionally, XiaoLei holds editorial appointments, further testament to her expertise and standing in the field.

🌍Impact and Influence 

XiaoLei Gao’s research has had a profound impact on the nursing profession, particularly in China. By elucidating the relationship between emotional intelligence and work engagement, she has provided nursing leaders with actionable insights to improve the well-being and performance of their teams. Her consultancy projects have led to tangible improvements in nursing practices, benefiting healthcare institutions and patients alike. XiaoLei’s influence extends to her students, many of whom have gone on to make significant contributions to nursing, inspired by her guidance and mentorship.

🔮Legacy and Future Contributions 

Looking ahead, XiaoLei Gao aims to continue her pioneering work in nursing science. She is committed to expanding her research to explore new dimensions of nursing management and education, with a particular focus on integrating advanced technologies such as artificial neural networks and pattern recognition into nursing practices. XiaoLei also plans to increase her involvement in professional organizations and collaborate with international researchers to further her impact on the global stage. Her vision is to leave a lasting legacy that enhances the quality of nursing care and education worldwide.

🌟Conclusion 

XiaoLei Gao’s journey is a testament to her unwavering dedication to nursing science. From her early academic pursuits to her current role as a leader in nursing education and management, she has consistently demonstrated excellence and innovation. Her research has provided valuable insights into the factors that influence nurse engagement and well-being, making her a pivotal figure in the field. With her ongoing contributions and future aspirations, XiaoLei Gao is poised to continue making a significant impact on nursing science and healthcare, leaving an indelible mark on the profession.

📚 Publications

Dr. Aman Khurana | Decision-making and Problem-solving | Best Researcher Award

Dr. Aman Khurana | Decision-making and Problem-solving | Best Researcher Award

Indian Institute of Technology Indore India, India

🔗 Professional Profiles

Summary:

Aman Khurana is an Assistant Professor at IIT Indore, specializing in soft materials mechanics and dynamic behavior of electroactive polymers. He has been recognized with the DST Inspire Faculty Fellowship (2022) and the Ratan Prakash Memorial Gold Medal (2017) 🎓.

🎓Education:

  • Ph.D. in Mechanical Engineering, Saarland University, Germany
  • Postdoctoral Researcher at Intelligent Materials Systems Lab, Saarland University

⚙️Professional Experience:

  • Assistant Professor, Department of Mechanical Engineering, IIT Indore
  • Guest Editor, Special Issue: European Journal of Computational Mechanics (2023-present)

🌟Research Interests:

  • Mechanics of Soft Active Materials ⚙️
  • Nonlinear Dynamics 📈
  • Stability Analysis and Control of Electrically Driven Mechanical Structures 🌟

Aman Khurana has led and contributed to various research projects funded by prestigious agencies and has a strong publication record with over 21 journal articles.

Notable Publications 

Paper Tittle:  Effect of viscoelasticity on the nonlinear dynamic behavior of dielectric elastomer minimum energy structures

  • Authors: Aman Khurana, Ajay Kumar, Santosh Kumar Raut, Atul Kumar Sharma, Manish M Joglekar
  • Journal: International Journal of Solids and Structures
  • Year: 2021
  • Citations; 61

Paper Tittle: Nonlinear oscillations of particle-reinforced electro-magneto-viscoelastomer actuators

  • Authors: Aman Khurana, Deepak Kumar, Atul Kumar Sharma, Manish M Joglekar
  • Journal: Journal of Applied Mechanics
  • Year: 2021
  • Citations; 43

Paper Tittle: Nonlinear oscillations of electrically driven aniso-visco-hyperelastic dielectric elastomer minimum energy structures

  • Authors: Aman Khurana, Atul Kumar Sharma, Manish M Joglekar
  • Journal: Nonlinear Dynamics
  • Year: 2021
  • Citations; 43

Paper Tittle: Static and dynamic instability modeling of electro-magneto-active polymers with various entanglements and crosslinks

  • Authors: Aman Khurana, Deepak Kumar, Atul Kumar Sharma, MM Joglekar
  • Journal: International Journal of Non-Linear Mechanics
  • Year: 2022
  • Citations; 33

Paper Tittle: Effect of polymer chains entanglements, crosslinks and finite extensibility on the nonlinear dynamic oscillations of dielectric viscoelastomer actuators

  • Authors: Aman Khurana, Ajay Kumar, Atul Kumar Sharma, Manish M Joglekar
  • Journal: Nonlinear Dynamics
  • Year: 2021
  • Citations; 27