Limin Xiao | Healthcare and Transformative Tourism | Research Excellence Award

Ms. Limin Xiao | Healthcare and Transformative Tourism | Research Excellence Award

Sun Yat-sen University | China

Limin Xiao is a dedicated and emerging scholar in tourism management, currently serving as a visiting Ph.D. student funded by the prestigious China Scholarship Council (CSC). She is pursuing her doctoral studies at the School of Business, Sun Yat-sen University—one of China’s leading institutions under Project 985—where she specializes in tourism management with a focus on transformative experiences and AI service applications in tourism. Born in Wuhan in December 1999, Limin has built a strong interdisciplinary academic foundation that integrates business administration, English studies, and tourism research. She completed her dual bachelor’s degrees in English and Business Administration at the School of Foreign Languages, China University of Geosciences (Project 211), where she ranked first in her school with a GPA of 4.13/5.0 and earned direct admission to postgraduate study. Limin’s research trajectory is marked by a deep interest in how tourists experience transformation, particularly within cultural, wellness, and digitally empowered tourism contexts. She has contributed to several high-quality publications, including an accepted paper in Tourism Management Perspectives and ongoing submissions to Tourism Tribune and the International Journal of Contemporary Hospitality Management. Her early research in translation studies has also appeared in Overseas English. Limin has presented her work at major academic conferences such as MTCON’23 in Istanbul, APMA 2023 in Guangzhou, the China Marketing Science Conference, and the China Tourism Research Annual Conference. Her scholarship demonstrates a robust theoretical grounding, drawing from self-expansion theory, liminality, embodiment cognition, and narrative persuasion models. She is simultaneously advancing multiple working papers that examine topics such as cultural tourism employees’ self-expansion, immersive digital-empowered tourism, and AI-driven storytelling for cultural identity formation. Her academic excellence has been consistently recognized through numerous national and international awards, including the highly competitive National Scholarship (top 0.2%), Meritorious Winner in the Mathematical Contest in Modeling (top 8%), first prizes in multiple national English competitions, and a professional qualification in translation (CATTI Level 3). She has also received honors for research innovation and academic presentation, including the Outstanding Final Report Award from the Ministry of Education and the Outstanding Paper Award at the 2024 Annual Forum on Frontiers of Tourism Research. With strong analytical skills, interdisciplinary training, and growing expertise in transformative tourism and AI-enabled visitor engagement, Limin Xiao represents a promising young researcher contributing innovative insights to the global tourism scholarship community.

Profile: Scopus

Featured Publications

Han, X., Zheng, Y., Wu, J. (Snow), & Xiao, L. (2025). Transformative value in cultural tourism: Scale development and its impact on tourist eudaimonic well-being. Tourism Management Perspectives. (Accepted February 2025)

Han, X., Zheng, Y., & Xiao, L. (n.d.). The effect of tourists’ initiative in wellness tourism on perceived transformation: From a perspective of transformative tourism. Tourism Tribune. (Second round of review)

Han, X., Liu, H., Xiao, L., & Zheng, Y. (n.d.). More innovative, more popular? The effect of amenity innovation on customers’ booking intentions in P2P accommodation. International Journal of Contemporary Hospitality Management. (Awaiting review)

Xiao, L. (2020). The translation of tourist attraction descriptions from the perspective of eco-translatology: A case study of the Hubei Provincial Museum. Overseas English, 2020(6), 65–66.

S M Taslim Uddin Raju | Health Care | Best Researcher Award

Mr. S M Taslim Uddin Raju, Health Care, Best Researcher Award

S M Taslim Uddin Raju at Khulna University of Engineering & Technology, Canada

Summary:

Mr. S M Taslim Uddin Raju is a Lecturer in the Department of Computer Science and Engineering at Khulna University of Engineering & Technology (KUET) in Bangladesh. He holds a Master of Science in Computer Science and Engineering from KUET, with a perfect CGPA of 4.00, and a Bachelor of Science in Computer Science and Engineering, also from KUET, with a CGPA of 3.85. He has a strong background in machine learning, deep learning, bioinformatics, health informatics, biomedical engineering, and computer vision.

👩‍🎓Education:

  • Master of Science in Computer Science and Engineering (M.Sc.), Khulna University of Engineering & Technology (KUET)
  • Bachelor of Science in Computer Science and Engineering (B.Sc.), Khulna University of Engineering & Technology (KUET)

Professional Experience:

Mr. S M Taslim Uddin Raju has accrued substantial professional experience in academia, particularly in the field of computer science and engineering. He currently serves as a Lecturer in the Department of Computer Science and Engineering at Khulna University of Engineering & Technology (KUET), Bangladesh, a role he has held since December 2020. Prior to this, he held positions as both a Part-time and Full-time Lecturer at KUET and Eastern University, respectively. Through these roles, Raju has honed his skills in teaching and mentoring students, designing and delivering courses, and contributing to academic research. His dedication to education and research is evidenced by his involvement in various collaborative projects, including partnerships with blood organizations and international research institutions. Raju’s professional journey reflects his commitment to advancing knowledge in computer science and engineering while nurturing the next generation of professionals in the field.

Research Interest :

Mr. S M Taslim Uddin Raju research interests span a wide array of interdisciplinary fields within computer science and engineering. With a focus on cutting-edge technologies, he is particularly passionate about machine learning and its applications, deep learning, bioinformatics, health informatics, biomedical engineering, and computer vision. His work delves into the development and application of innovative algorithms and methodologies to tackle real-world challenges in diverse domains, ranging from demand forecasting in industries to non-invasive measurement of human blood components and the detection of diseases such as COVID-19. Raju’s multidisciplinary approach underscores his commitment to leveraging advanced computational techniques to address pressing societal and scientific issues, driving forward the boundaries of knowledge and innovation in his field.

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