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.

Christopher Prashad | Public Health | Best Researcher Award

Dr. Christopher Prashad | Public Health | Best Researcher Award

York University, Canada

Author Profile 📚

Orcid

🔍 Summary

Dr. Christopher Prashad is a PhD candidate in Mathematics and Statistics, specializing in Data Science for Public Health at York University. With a strong foundation in advanced quantitative research, including time series analysis, machine learning, stochastic simulation, and probabilistic programming, Dr. Prashad excels in transforming complex data into actionable insights. He has a proven track record of collaborating with academic and industry teams, effectively communicating technical concepts, and is eager to apply his skills in Data Science to drive meaningful decision-making.

🎓 Education

Dr. Prashad is currently pursuing his PhD in Mathematics and Statistics – Data Science for Public Health at York University (expected June 2025). He is also completing a MicroMasters in Finance from MIT Sloan School of Management (expected January 2025). He holds a Master’s degree in Mathematics and Statistics from York University and a Bachelor of Science in Mathematics and Chemistry from the University of Toronto.

💼 Professional Experience

Dr. Prashad has worked as a Mathematics for Public Health Researcher at York University–Sanofi Pasteur (2022–2024), where he collaborated with pharmaceutical companies and public health organizations to drive evidence-based policies and modeling initiatives. Prior to this, he worked as a Statistician at Western University (2014–2019), conducting longitudinal studies to assess the impact of STEM education programs. He has also served as a Course Director for Statistical Methods in Health Studies at York University (2018–2019), delivering lectures and tutorials while fostering student engagement in applied statistics.

📚 Academic Projects & Presentations

Dr. Prashad has contributed to several notable academic projects, such as Multiperiod Forecasting of Epidemic Prevalence using machine learning to predict the spread of flu-like illnesses, and Stochastic Threshold Analysis for SIRS Model, where he applied advanced mathematical techniques to epidemic modeling. He also analyzed Indexed GIC Investment Products using stochastic volatility models, presenting his findings to industry leaders in finance.

💻 Technical Skills

Dr. Prashad is proficient in a wide range of software and analytical tools, including Python, R, MATLAB, SQL, SPSS, and C. He specializes in Time Series Analysis, Stochastic Simulation, Machine Learning, Multivariate Statistics, and Probabilistic Programming, with expertise in Bayesian Methods, Optimization, and Data Visualization.

👩‍🏫 Teaching Experience

As a Course Director at York University, Dr. Prashad designed and delivered lectures on statistical methods in health studies, supported diverse student learning needs, and contributed to collaborative course design and student development.

🔬 Research Interests

Dr. Prashad’s research interests lie at the intersection of data-driven public health modeling, machine learning in healthcare, and mathematical epidemiology, with a particular focus on applying quantitative analysis to solve public health challenges.

 

📖 Top Noted Publications

Stochastic Threshold Analysis for Mean-Reverting SIRS Model
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: Journal of Theoretical Biology
    • Year: 2024
Problems and Solutions in Modern Finance, Financial Accounting, Mathematical Methods for Quantitative Finance, and Derivatives Markets
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: Independent publication
    • Year: 2024
Assessing the Impact of Community Mobility on COVID-19 Dynamics
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: PLOS Computational Biology
    • Year: 2024
State-Space Modelling for Infectious Disease Surveillance Data: Stochastic Simulation Techniques and Structural Change Detection
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: Journal of Infectious Disease Modelling, Primer Articles
    • Year: 2024
State-Space Modelling for Infectious Disease Surveillance Data: Dynamic Regression and Covariance Analysis
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: Journal of Infectious Disease Modelling, Primer Articles
    • Year: 2024