Xinzhou Qi | ESG | Best Researcher Award

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Dr. Xinzhou Qi | ESG | Best Researcher Award

Postdoctoral fellow at Guotaijunan, China

Xinzhou Qi is a Ph.D. Candidate in Business Management at Fudan University, Shanghai, China, with a focus on sustainable business practices, innovation, and enterprise transformation. He is actively involved in research related to ESG (Environmental, Social, and Governance), carbon emissions, and the sustainable development goals (SDGs). Xinzhou’s academic background and professional experiences reflect a deep commitment to addressing the complex challenges of sustainable development, particularly in business contexts.

Publication Profile 

Scopus

Educational Background 🎓

  • 2020 – Present: Ph.D. in Business Management (Expected 2024), Fudan University, Shanghai, China
    • Supervisor: Professor Zhong Ning
  • 2023: Joint Doctoral Research Scholar, University of British Columbia, Vancouver, Canada
    • Supervisor: Professor Eric Li
  • 2018 – 2020: Master of Finance, Qingdao University, Qingdao, China
    • Supervisor: Professor Chiwei Su
  • 2013 – 2017: Bachelor of Science in Information and Computing Sciences, Qingdao University of Technology, Qingdao, China
    • GPA: 4.9/5.0

Professional Experience 💼

  • 2022 – Present: Research Assistant, China National Key R&D Plan “Culture, Technology and Modern Service Industry” (No. 2022YFF0903400)
  • 2020 – 2021: Research Assistant, Shanghai Soft Science Research Program “Science and Technology Innovation Action Plan” (No. WBH1019063)
  • 2020 – 2021: Research Assistant, Business Plan and Growth Strategy of Angkor Airlines in Cambodia (No. WAH1019116)
  • 2018 – 2019: Research Assistant, Shanghai Soft Science Research Program “Science and Technology Innovation Action Plan” (No. WBH1019033)

Research Interests 🔬

  • ESG (Environmental, Social, and Governance) strategies
  • Carbon emissions reduction
  • Innovation and entrepreneurship
  • Enterprise transformation
  • Sustainable development goals (SDGs)

Awards and Honors🏆✨

  • 2021-2022: University Scholarship, Fudan University
  • 2021-2022: Outstanding Student Award, Fudan University
  • 2020-2021: Excellent Teaching Assistant Award, Fudan University
  • 2017: Outstanding Student Award, Shandong, China
  • 2014-2015: Second Place in China Undergraduate Mathematical Contest in Modeling, Shandong, China

Teaching Assistant Experience

  • 2021-2022:
    • Crisis Management (Executive MBA, University of Lethbridge)
    • Strategic Management (MBA, Fudan University)
    • Agile Marketing and Growth Strategies (MBA, Fudan University)
    • Brand Building & Integrated Marketing (MBA, Ogivy & NCCU)
  • 2020-2021:
    • Sinology and Leadership (MBA, National Chengchi University)
    • Business Model (MBA, Fudan University)

Conclusion🌟

Xinzhou Qi’s academic and professional work bridges the fields of business management, sustainability, and innovation. His research emphasizes the importance of responsible business practices in light of global challenges like climate change, ESG performance, and economic policy uncertainty. With experience as a research assistant and teaching assistant, along with his scholarly contributions, Xinzhou is poised to continue making significant contributions to the academic community and the field of sustainable business management.

Publications 📚

📄 Navigating the tides of uncertainty: exploring the complex relationship between global economic policy and crude oil transportation
Qi, X., Zhang, W., Sun, L., Hu, Z., Ning, Z.
Maritime Economics and Logistics, 2024, 26(4), pp. 612–629
🔗 [Link Disabled]

📄 Bridging the valley of death: examining university science parks’ influence on revenue generation
Qi, X.-Z., Li, E.P.H., Wei, Z., Ning, Z.
International Journal of Entrepreneurial Behaviour and Research, 2024, 30(5), pp. 1093–1121
🔗 [Link Disabled]

📄 Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy
Qin, M., Hu, W., Qi, X., Chang, T.
Energy Economics, 2024, 131, 107403
🔗 [Link Disabled]

📄 An applied framework to assess sustainability awareness and corporate misconduct considering just transition
Qi, X., Sun, L., Hu, Z., Li, E., Ning, Z.
Environmental Impact Assessment Review, 2023, 103, 107261
🔗 [Link Disabled]

📄 Study on international carbon emission quota allocation of shipping industry-based on fairness and efficiency
Hu, Z., Huang, Y., Sun, L., Qi, X., Pan, X.
Frontiers in Marine Science, 2023, 10, 1269643
🔗 [Link Disabled]

📄 Is economic policy uncertainty an excuse for corporate fraud?
Ning, Z., Qi, X.
Economic Research-Ekonomska Istrazivanja, 2023, 36(2), 2182809
🔗 [Link Disabled]

📄 Incubator role of foreign venture capital: evidence from overseas listing of enterprises
Qi, X., Ning, Z., Qin, M.
Economic Research-Ekonomska Istrazivanja, 2023, 36(2), 2142637
🔗 [Link Disabled]

📄 Economic policy uncertainty, investor sentiment and financial stability—an empirical study based on the time varying parameter-vector autoregression model
Qi, X.-Z., Ning, Z., Qin, M.
Journal of Economic Interaction and Coordination, 2022, 17(3), pp. 779–799
🔗 [Link Disabled]

📄 Should gold be stored in chaotic eras?
Qin, M., Su, C.-W., Qi, X.-Z., Hao, L.-N.
Economic Research-Ekonomska Istrazivanja, 2020, 33(1), pp. 224–242
🔗 [Link Disabled]

📄 Financial stability or instability? Impact from Chinese consumer confidence
Liu, S.-Q., Qi, X.-Z., Qin, M., Su, C.-W.
Romanian Journal of Economic Forecasting, 2019, 22(4), pp. 25–43
🔗 [Link Disabled]

 

 

 

Vincent Zakka | Human Behaviour Analysis | Young Scientist Award

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Mr. Vincent Zakka | Human Behaviour Analysis | Young Scientist Award

Postgraduate Research Student of Aston University, United Kingdom

Vincent Gbouna Zakka is a Ph.D. candidate in Computer Science at Aston University, specializing in human behavior analysis in smart environments. His research has applications in ambient assisted living, human-robot collaboration, and user-centered building system control. With a Master’s in Mechatronic Engineering from Zhejiang University and a Bachelor’s in Electronics Information Engineering from Liaoning University of Technology, Vincent has gained valuable experience as a Research Assistant at institutions like The Hong Kong Polytechnic University and Westlake University. His expertise spans activity recognition, vision-based monitoring technologies, and smart building systems. He has received several awards, including Best Paper Runner-Up at the International Conference on AI in Healthcare (2024), and has contributed to numerous publications in high-impact journals. ✨🤖🏠

Publication Profile : 

Scopus

 

🎓 Educational Background :

Vincent Gbouna Zakka is a Ph.D. candidate in Computer Science at Aston University, where he focuses on human behavior analysis in smart environments, with key applications in ambient assisted living, human-robot collaboration, and user-centered building system control. He holds a Master of Engineering in Mechatronic Engineering from Zhejiang University (2018-2021) and a Bachelor of Engineering in Electronics Information Engineering from Liaoning University of Technology (2014-2018).

💼 Professional Experience :

Professionally, Vincent has been a Postgraduate Teaching Assistant at Aston University since October 2022, where he also mentors students and engages in research. Prior to this, he served as a Research Assistant at The Hong Kong Polytechnic University (2021-2022) and Westlake University (2021). His dedication to academia is reflected in his contributions to several high-impact conferences and journals, earning recognition such as the Best Paper Runner-Up Award at the 2024 International Conference on AI in Healthcare and the Best Paper Award at the 22nd International Conference on Construction Applications of Virtual Reality in 2022.

📚 Research Interests : 

Vincent’s research interests include activity recognition, user trust in monitoring systems, vision-based technology acceptance in home environments, human-robot collaboration, and smart building systems. His innovative work spans publications on privacy-preserving ambient assisted living, thermal comfort modeling, and IoT-enabled robot skin systems. He actively reviews for leading conferences and journals in his field, such as IROS and ISIE.

📝 Publication Top Notes :

  1. Darras, K., Balle, M., Xu, W., Yan, Y., Zakka Gbouna, V., Toledo, M., Sheng, D., Lin, W., Zhang, B., Lan, Z., Li, F., & Wanger, T. (2024). Eyes on Nature: Embedded Vision Cameras for Multidisciplinary Terrestrial Biodiversity Monitoring. Method in Ecology. Accepted.
  2. Zakka Gbouna, V., Dai, Z., & Manso, L. J. (2024). Hierarchical Temporal Convolution Network: Towards Privacy-Centric Activity Recognition. 16th International Conference on Ubiquitous Computing and Ambient Intelligence. Accepted.
  3. Zakka Gbouna, V., Lee, M., Zhang, R., Huang, L., Jung, S., & Hong, T. (2024). Non-invasive vision-based personal comfort model using thermographic images and deep learning. Automation in Construction, 105811. https://doi.org/10.1016/j.autcon.2024.105811
  4. Zakka Gbouna, V., & Lee, M. (2024). A generalized thermal comfort model using thermographic images and compact convolutional transformers: Towards scalable and adaptive occupant comfort optimization. Building and Environment, 112118. https://doi.org/10.1016/j.buildenv.2024.112118
  5. Zakka Gbouna, V., Dai, Z., & Manso, L. J. (2024). Action Recognition for Privacy-Preserving Ambient Assisted Living. International Conference on AI in Healthcare, 15. https://doi.org/10.1007/978-3-031-67285-9_15
  6. Xie, K., Lee, M., Khalid, R., & Zakka Gbouna, V. (2023). The impact of personal environmental control on the performance of thermal systems: Building energy consumption, occupant thermal comfort, and productivity. Energy and Buildings, 113552. https://doi.org/10.1016/j.enbuild.2023.113552
  7. Zakka Gbouna, V., & Lee, M. (2022). An Integrated Design of Energy and Indoor Environmental Quality System for Effective Building Performance Management. Proceedings of the 22nd International Conference on Construction Applications of Virtual Reality.
  8. Zakka Gbouna, V., Pang, G., Yang, G., Hou, Z., Lv, H., Yu, Z., & Pang, Z. (2021). User-interactive robot skin with large-area scalability for safer and natural human-robot collaboration in future telehealthcare. IEEE Journal of Biomedical and Health Informatics, 3082563. https://doi.org/10.1109/JBHI.2021.3082563 (Featured on Cover Paper)
  9. Zakka Gbouna, V., Hou, Z., Pang, G., Yang, H., & Yang, G. (2021). IoT-Enabled Robot Skin System for Enhancement of Safe Human-Robot Collaboration. International Conference on Intelligent Robotics and Applications, 43. https://doi.org/10.1007/978-3-030-89098-8_43
  10. Heng, W., Pang, G., Zakka Gbouna, V., Pang, Z., Yi, K., & Yang, H. (2019). Facile Fabrication of Highly Soft Tactile Sensor based on Porous Sponge with Geometry Effect on Sensing Characteristics. 2nd IEEE International Flexible Electronics Technology Conference. https://doi.org/10.1109/IFETC46817.2019.9073774