Dr. Wenxin Xie | Organizational behavior | Best Researcher Award

Posted on by Academic achievements

Dr. Wenxin Xie | Organizational behavior | Best Researcher Award

Dr. Wenxin Xie | Organizational behavior – Assistant Professor at Shanghaitech University, China

Dr. Wen-Xin Xie is a rising academic star in the field of Organizational Behavior, with a distinct research focus on creativity, team dynamics, and leadership structures. Currently serving as an Assistant Professor at ShanghaiTech University’s School of Entrepreneurship and Management, she has demonstrated exceptional academic productivity, pedagogical excellence, and a forward-thinking approach to human-AI collaboration. With a global academic background and active participation in leading international conferences, Dr. Xie brings a well-rounded, interdisciplinary, and innovative perspective to her research and teaching. Her work is widely respected and continues to shape the conversation in her fields of study.

Profile:

Google Scholar

Education:

Dr. Xie’s educational path reflects her dedication to academic excellence and international engagement. She earned her Ph.D. in Organizational Behavior from University College London, where she trained under esteemed scholars Colin Fisher and Sarah Harvey. Before this, she completed both her M.Sc. and B.Sc. in Business Administration from Zhejiang University, one of China’s most prestigious institutions. She also participated in a distinguished international exchange program at Erasmus University of Rotterdam in the Netherlands, further enriching her research with cross-cultural academic insights.

Experience:

Dr. Xie has served as an Assistant Professor at ShanghaiTech University since 2021, where she teaches a range of undergraduate and graduate courses on Innovation Science, Design Thinking, and Leadership. Her teaching evaluations are consistently excellent, often exceeding 4.75/5, and she is known for engaging, research-integrated instruction. Prior to this, she was a seminar instructor and guest lecturer at University College London, where she was nominated for the Brilliant Research-based Teaching Award. In addition to her teaching, Dr. Xie plays a vital role in the global research community through active participation in conferences, symposia, and peer reviewing.

Research Interests:

Dr. Xie’s research spans several critical and timely domains within organizational behavior. Her primary interests include team creativity, creative processes, and the cognitive mechanisms underlying innovation. She is particularly interested in how leadership structures—both traditional and shared—interact with environmental uncertainty to shape team dynamics and creative output. Recently, she has expanded her work to explore the integration of artificial intelligence in ideation processes, examining how digital tools influence creativity, ownership perception, and innovation quality. Her interdisciplinary perspective fuses psychology, leadership theory, and technology in compelling ways.

Awards:

Dr. Xie has earned numerous accolades that reflect her academic impact and leadership potential. Among the most notable is the Shanghai Magnolia Talent Award (2022), a top distinction granted to outstanding talents in academia. She was a Best Paper Finalist in the MOC Division at the Academy of Management Annual Meeting (2018), and she co-chaired a Showcase Symposium across three major divisions (MOC, OB, OMT) in 2019. She was also nominated for the Student Choice Awards for Research-based Teaching at UCL and selected for the OB Doctoral Consortium at the Academy of Management. These honors underscore her excellence in both research and teaching.

Publications:

Here are seven selected publications that demonstrate Dr. Xie’s scholarly reach and relevance:

  1. 📘 Xie & Fisher (2024) – European Journal of Work and Organizational Psychology
    “How shared leadership and task complexity shape expectations of team effectiveness.”
    ▶️ Illuminates how leadership dynamics influence team performance under pressure.
  2. 🎨 Fisher et al., incl. Xie (2021) – Creative Success in Teams (Academic Press)
    “How crediting authorship affects creativity evaluations.”
    ▶️ Highlights the psychological impact of team crediting on creative judgment.
  3. 🔄 Xie (2019) – Academy of Management Best Paper Proceedings
    “Leadership attributions: The role of uncertainty and communal schemas.”
    ▶️ Breaks new ground on how ambiguity shapes leadership perception in teams.
  4. 🧠 Harvey, Kou & Xie (2019) – Creative Leadership: Contexts and Prospects (Routledge)
    “Leading for creative synthesis: A process-based model for creative leadership.”
    ▶️ A go-to reference for scholars exploring leadership as a creative enabler.
  5. 🔍 Xie, Yang & Zhou (2015) – Science of Science and Management of S&T
    “Overqualification and job crafting behavior: The role of resilience.”
    ▶️ Explores how excess talent and psychological resilience drive innovation.
  6. 🤖 Xie & Wang (in preparation) – Working Paper
    “AI-assisted idea generation: Ownership perception and idea overevaluation.”
    ▶️ A timely piece exploring biases in AI-enhanced creativity.
  7. 🌐 Xie et al. (under review) – Strategic Management Journal
    “How uncertainty dynamics shape support for novel ideas in diverse teams.”
    ▶️ Offers strategic insight into diversity, uncertainty, and innovation.

Conclusion:

In conclusion, Dr. Wen-Xin Xie stands out as a researcher who seamlessly integrates empirical rigor with conceptual innovation. Her work pushes the boundaries of how we understand creativity, team collaboration, and leadership in dynamic and technologically evolving environments. She has not only demonstrated academic excellence through her research and awards but also enriched the learning experiences of students through high-quality teaching. Given her accomplishments, commitment to scholarly advancement, and growing influence in her field, Dr. Xie is a highly deserving candidate for the Best Researcher Award.

 

 

 

 

Chang He | Composite structures | Best Researcher Award

Posted on by Academic achievements

Mr. Chang He | Composite structures | Best Researcher Award 

PHD student at Tongji University, China

Chang He is a dedicated Ph.D. student in Civil Engineering at Tongji University, Shanghai, where he has distinguished himself through exemplary academic performance and significant contributions to research. With a strong foundation in Civil and Hydraulic Engineering, he has garnered recognition for his innovative approach to integrating smart materials with traditional construction techniques. His commitment to advancing the field of civil engineering is evident in his participation in various high-impact research projects and his proactive engagement in scholarly activities.

Profile

ORCID

Education

Chang He began his academic journey at Shenyang Jianzhu University, where he earned his Bachelor’s degree in Civil Engineering with a commendable GPA of 87.6/100. He was recognized for his academic excellence through several awards, including the Merit Student Award and multiple scholarships. Pursuing further education, he obtained his Master’s degree in Civil and Hydraulic Engineering from Tongji University, achieving a GPA of 84.5/100. Currently, he is advancing his studies as a Ph.D. student in Civil Engineering, where he maintains an impressive GPA of 89.5/100, demonstrating his commitment to academic rigor and research excellence.

Experience

Chang He’s research experience is extensive and multifaceted. He has actively participated in several prominent research projects, including the NSFC Project focused on the integration of spherical piezoelectric smart materials with concrete, and the development of disaster acquisition robot equipment under the National Key R&D Program of China. His involvement in these projects has allowed him to gain hands-on experience in cutting-edge research methodologies and technologies, particularly in the context of structural health monitoring and disaster management. Additionally, he has contributed to the academic community as a reviewer for notable journals, further enhancing his understanding of current research trends and standards.

Research Interest

Chang He’s research interests lie at the intersection of civil engineering and advanced technology. His primary focus includes the application of machine learning and artificial intelligence to analyze and optimize the performance of construction materials and structures. He is particularly interested in exploring how innovative materials, such as fiber-reinforced polymers, can be integrated into traditional concrete structures to enhance their durability and resilience. By leveraging deep learning techniques, Chang aims to develop predictive models that can inform engineering practices and improve the safety and efficiency of civil engineering projects.

Awards

Throughout his academic career, Chang He has received several awards and honors that reflect his dedication to excellence in education and research. Notably, he was awarded the Social Work Scholarship twice, highlighting his commitment to community engagement and social responsibility. Additionally, he received the Second Prize Scholarship twice during his master’s studies, as well as the Third Prize Scholarship and the Merit Student Award during his undergraduate years. These accolades serve as a testament to his hard work, perseverance, and contributions to the academic community.

Publications

Chang He has authored and co-authored several research publications in esteemed journals, demonstrating his commitment to advancing knowledge in his field. His notable works include:

Deep Learning-Based Analysis of Interface Performance between Brittle Engineering Materials and Composites (Expert Systems with Applications, 2024).

Hyperparameter optimization for interfacial bond strength prediction between fiber-reinforced polymer and concrete (Structures, 2023).

Bayesian optimization for selecting efficient machine learning regressors to determine bond-slip model of FRP-to-concrete interface (Structures, 2022).

Semi-supervised networks integrated with autoencoder and pseudo-labels propagation for structural condition assessment (Measurement, 2023).

Application of Bayesian optimization approach for modelling bond-slip behavior of FRP-to-concrete interface (Proceedings of the 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2023).

An acoustic-homologous deep learning method for FRP concrete interfacial damage evaluation (Proceedings of the 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2023).

Conclusion

In conclusion, Chang He embodies the qualities of an exceptional researcher in civil engineering, combining academic excellence with impactful research contributions. His extensive experience, innovative research interests, and notable achievements position him as a strong candidate for the Best Researcher Award. By continuing to push the boundaries of knowledge in his field, Chang He is poised to make significant contributions to civil engineering and society as a whole. His commitment to excellence and passion for research make him a deserving nominee for this prestigious award.