Xiamen University
Upcoming doctoral research will extend toward multimodal infectious disease spatiotemporal dynamics, viral evolution early warning, and integrated macro-micro modelling frameworks.
Curriculum Vitae
Hong Liu
M.Sc. in Computer Science and Technology, Macau University of Science and Technology; returning to Xiamen University for doctoral study in Epidemiology and Health Statistics; undergraduate training at Xiamen University; interdisciplinary background spanning public health, epidemiology, AI, and data science
I have graduated from Macau University of Science and Technology with an M.Sc. in Computer Science and Technology. I will return to Xiamen University to continue doctoral study in Epidemiology and Health Statistics, building on work in infectious disease forecasting, influenza co-circulation analysis, outbreak modelling, and the integration of epidemic dynamics with viral evolution.
Profile
I have graduated from Macau University of Science and Technology with an M.Sc. in Computer Science and Technology. I will return to Xiamen University to continue doctoral study in Epidemiology and Health Statistics, with research continuing to focus on infectious disease forecasting, influenza co-circulation analysis, outbreak modelling, and related research software.
Education
Macau University of Science and Technology
Completed M.Sc. training in Computer Science and Technology under Academician Nanshan Zhong and Prof. Chitin Hon, with co-supervision by Prof. Tianmu Chen (Xiamen University). Graduate training emphasized intelligent control technology, artificial intelligence, numerical analysis, statistics, pattern recognition, algorithm theory, and optimization methods.
Xiamen University
Academic and project experience during the undergraduate stage laid the groundwork for infectious-disease modelling, health data analysis, and later AI-assisted research workflows. Selected high-mark coursework: Epidemiology, Biostatistics, and Health Statistics.
Master’s thesis
The completed thesis linked surveillance, environmental, behavioral, and sequence-related evidence while keeping completed work, submitted manuscripts, and future doctoral stages explicitly separated.
Research Interests
- Multimodal infectious disease forecasting and early warning.
- Influenza co-circulation analysis, co-infection signals, and non-stationary time-series modelling.
- Spatiotemporal transmission dynamics, small-sample outbreak modelling, and viral evolution.
Publications and Manuscripts
Published papers
Spatiotemporal instability of influenza seasonality during viral co-circulation
Status: Published
First-author npj Systems Biology and Applications article. Accepted on 17 April 2026 and published online on 04 May 2026.
Temporal shifts in 24 notifiable infectious diseases in China before and during the COVID-19 pandemic
Status: Published
Co-authored publication listed in the source materials.
Transmissibility of the variant of concern for SARS-CoV-2 in six regions
Status: Published
Co-authored publication listed in the source materials.
Three machine-learning models to predict dengue vectors Breteau Index based on meteorology and biotope in Fujian China
Status: Published
Co-authored publication listed in the source materials; DOI is not explicitly provided there.
Impact of long-term care insurance on the physical and mental health of older adults in China
Status: Published
Co-authored publication listed in the source materials.
Assessment of transmissibility and measures effectiveness of SARS in 8 regions, China,2002-2003
Status: Published
Co-authored publication listed in the source materials.
Advancements in Defining and Estimating the Reproduction Number in Infectious Disease Epidemiology
Status: Published
Co-authored publication listed in the source materials.
Preprints
Multi-modal Adaptive Estimation for Temporal Respiratory Disease Outbreak
Status: Public preprint; journal submission under review
First-author MAESTRO study. In the documented evaluation context, the reported R² reached 0.956 on a 10-year Hong Kong influenza dataset.
Submitted / under review
Dual-Model Framework for CHIKV Transmission Modeling: ODE and Petri Net Analysis of the 2025 Foshan Outbreak
Status: Submitted; with editor
First-author dual-framework outbreak modelling study for the 2025 Foshan chikungunya outbreak.
Manuscript ID: EPIDEMICS-D-25-00174
Psychological resilience, occupational stress, organizational trust, and burnout among healthcare workers
Status: Submitted; with editorial office
Questionnaire-based collaborative study using CFA, SEM, and bootstrap analysis.
Manuscript ID: 251802
Research Software and Projects
MultiCoPat
Multi-region and multi-window influenza co-circulation analysis and prediction workflows.
MAESTRO
Multimodal forecasting framework for respiratory disease activity and early-warning-oriented time-series analysis.
ODE-Petri-Chikungunya
Research workflow comparing ODE and Petri Net perspectives for the 2025 Foshan chikungunya outbreak.
Breteau Index Prediction Model
Supplementary codebase for machine learning-based dengue vector Breteau Index prediction.
https://github.com/Hylouis233/Breteau-Index-Prediction-Model-using-machine-learning
Infectious disease intelligence platform
Crawler, database, ETL, and visualization workflow for infectious-disease news collection, monitoring, and research-oriented data support.
bibverify
BibTeX validation and metadata completion tool for DOI, author, year, deduplication, and citation normalization workflows.
MCM 2023 Problem C Solution
Team solution and codebase for the Mathematical Contest in Modeling (MCM) 2023 Problem C.
Baidu Index Spider
A Baidu Index scraping tool equipped with a graphical user interface (GUI).
GMCM LaTeX Template
Refactored LaTeX templates for the China Graduate Mathematical Contest in Modeling.
Awards
- 2025 | Regional First Prize, 15th MathorCup Mathematical Application Challenge (Graduate Division) | China Society for Overall Planning, Optimization and Economic Mathematics
- 2025 | National Third Prize, 15th MathorCup Mathematical Application Challenge (Graduate Division) | China Society for Overall Planning, Optimization and Economic Mathematics
- 2025 | Second Prize, 20th Citibank Financial Innovation Application Competition | Shanghai University Student Science and Technology Entrepreneurship Foundation; Citigroup Financial Information Services (China) Co., Ltd.
- 2024 | Third Prize, 21st China Graduate Mathematical Contest in Modeling (“Huawei Cup”) | China Graduate Mathematical Contest in Modeling Organizing Committee
- 2024 | Project Innovation Award, 13th “Win in Guangzhou” Hong Kong–Macao Division | “Win in Guangzhou” University Entrepreneurship Competition Organizing Committee
Experience
Completed M.Sc. coursework
Completed coursework in intelligent control technology, artificial intelligence, numerical analysis, statistics, pattern recognition, algorithm theory, and optimization methods, with a cumulative GPA of 3.63/4.
Student service roles
Served as a student staff member in the medical school organization department and later as deputy head in the innovation service division of the student technology, entrepreneurship, and employment service center.
Laboratory escape-risk digital twin project
Participated in full-stack development for a P3 laboratory digital twin and risk-assessment workflow involving Unity3D, Python, Flask, MySQL, and scenario simulation.
Protein design and structure-biology tooling support
Supported target-site discovery and primer design workflows using masif_seed, Rosetta, AlphaFold 3, and RFDiffusion.
Infectious-disease news data platform
Independently developed and maintained a platform covering data collection, cleaning, ETL, database ingestion, and visualization for infectious-disease news and event monitoring.
Questionnaire data cleaning and SEM analysis
Handled large-scale questionnaire cleaning, CFA, SEM, reliability and validity analysis, and bootstrap-based inference for healthcare workforce research.
Selected practice and volunteer activities
Participated in outreach, practice, and volunteer activities including recruitment outreach, public-health themed practice teams, and report writing.
Competition projects
Contributed modelling, optimization, software implementation, and evaluation work in the Huawei Cup, MathorCup, Citibank competition, and related innovation contests.