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

 

 

 

 

Xinyi Wei | Social Psychological Impacts | Best Researcher Award

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Assoc. Prof. Dr. Xinyi Wei | Social Psychological Impacts | Best Researcher Award

Associate Professor at Renmin University of China and Putian University, China

Xinyi Wei is an Associate Professor at Renmin University of China and Putian University. He graduated from a “Double First-Class” university in China, excelling in a “Double First-Class” discipline. Over his 11-year academic career, he has published over 30 papers, including five as first author in top-tier journals (SSCI Q1), with an impressive impact factor of 10.1 for one of his articles. His research explores the social psychological impacts of emerging technologies, particularly in relation to mobile phone usage and addiction. In addition, he has completed significant projects funded by national and university-level grants.

Publication Profile : 

Scopus

🎓 Educational Background :

  • University: Graduated from a “Double First-Class” university in China 🇨🇳
  • Discipline: Specialized in a “Double First-Class” discipline 📚

💼 Professional Experience :

Xinyi Wei is an Associate Professor at Renmin University of China and Putian University, with 11 years of academic experience. He has published over 30 academic papers, including five first-authored pieces in top-tier journals (SSCI Q1), achieving a maximum impact factor of 10.1. His expertise spans both quantitative and qualitative research methods in social sciences, further enriched by his involvement in significant research projects funded by prestigious organizations.

📚 Research Interests : 

  • 📱 Social psychological impacts of mobile technology
  • 📊 Gender differences in technology usage
  • 🧠 Cognitive and neural mechanisms related to behavioral responses
  • 💡 Smartphone addiction and its implications
  • 🌐 Effects of emerging technologies on society

📝 Publication Top Notes :

  1. Peng, J., Yuan, S., Wei, Z., Wu, S., & Ren, L. (2024). Temporal network of experience sampling methodology identifies sleep disturbance as a central symptom in generalized anxiety disorder. BMC Psychiatry, 24(1), 241. [Open access]
  2. Liu, C., Rotaru, K., Wang, Z., Albertella, L., & Ren, L. (2024). Examining network structure of impulsivity and depression in adolescents and young adults: A two-sample study. Journal of Affective Disorders, 362, 54–61.
  3. Gao, T., Yang, L., Wei, X., Zhang, L., & Lei, L. (2024). Is childhood emotional neglect associated with problematic smartphone use among adolescents? The mediating role of rejection sensitivity and depressive symptoms. Current Psychology, 43(32), 26477–26489.
  4. Wei, X., Chu, X., Geng, J., Wang, C., & Lei, L. (2024). Societal impacts of chatbot and mitigation strategies for negative impacts: A large-scale qualitative survey of ChatGPT users. Technology in Society, 77, 102566. [Open access]
  5. Li, J., Liu, C., Albertella, L., Liu, X., & Ren, L. (2024). Network analysis of the association between Dark Triad traits and depression symptoms in university students. Personality and Individual Differences, 218, 112495.
  6. Chu, X., Chen, Y., Litifu, A., Wei, X., & Lei, L. (2024). Social anxiety and phubbing: The mediating role of problematic social networking and the moderating role of family socioeconomic status. Psychology in the Schools, 61(2), 553–567. [Open access]
  7. Wei, X., Chu, X., Wang, H., Liu, C., & Lei, L. (2024). Does positive coping style alleviate anxiety symptoms after appearing problematic smartphone use for generation Z adolescents? The mediating role of state core self-evaluation. Current Psychology, 43(8), 6783–6795.
  8. Wang, Y., Gu, X., Geng, J., Wei, X., & Lei, L. (2024). Relationships among selfie-viewing on social media, thin-ideal internalization, and restrained eating in adolescents: The buffering role of media literacy. Cyberpsychology, 18(1), 2. [Open access]
  9. Wei, X.-Y., Jiang, Y.-Z., Zhou, H.-L., & Jiang, H.-B. (2023). Erratum: Neuroticism and problematic smartphone use symptom types: Roles of anxiety and alexithymia. Current Psychology, 42(36), 32616–32617. [Open access]