Dr. Haoyue Fan | Healthcare Data Analysis – Beijing Institute of Technology | China
Dr. Haoyue Fan is a dedicated researcher and Ph.D. candidate at the School of Management and Economics, Beijing Institute of Technology (BIT). With a multidisciplinary background in information management, engineering, and management science, Dr. Fan explores the intersection of online platforms, IT artifacts, health management, and operations. Her work uniquely blends data-driven technologies and social science, exemplified by her deep learning research on mental health and user behavior. Dr. Fan has published in top-tier journals such as Information & Management, Expert Systems with Applications, and Annals of Operations Research. Her intellectual rigor extends beyond academia, with involvement in national and international research projects supported by the National Natural Science Foundation of China. Passionate about innovation and social impact, she has also contributed to patented technologies in healthcare and AI applications. Dr. Fan is recognized for her leadership and excellence as a top graduate, earning national scholarships and research accolades.
Professional Profile
Education
Dr. Haoyue Fan’s academic journey reflects her interdisciplinary approach and academic excellence. She is currently pursuing her Ph.D. in Management Engineering at the Beijing Institute of Technology (2021–Present), where her research focuses on online health platforms and intelligent systems. She completed her MSc in Management Science and Engineering at Beijing University of Chemical Technology (2018–2021). Her thesis and projects during this period addressed challenges in digital healthcare and operational intelligence. Prior to that, Dr. Fan earned a BSc in Information Management from Beijing Language and Culture University (2014–2018), laying the foundation in data processing, systems thinking, and digital infrastructure. Across all degrees, she maintained an outstanding academic record and was honored with multiple awards for excellence in scholarship and leadership. Her academic path reflects a coherent evolution from data and systems to human-centric AI applications in management and healthcare.
Professional Experience
Dr. Haoyue Fan’s professional trajectory has been deeply rooted in academic research and collaborative innovation. As a Ph.D. researcher at Beijing Institute of Technology, she actively contributes to national-level projects focusing on AI, mental health monitoring, and intelligent systems for public health. Her role has involved deep learning model development, data analysis, and system design, particularly within mobile health environments. Previously, as a master’s student, she contributed to applied research in staff scheduling optimization and peer behavior in online health communities, producing tangible outcomes including patents and conference papers. Dr. Fan has presented at leading conferences like PACIS, INFORMS CIST, and ICC, showcasing her ability to translate complex models into real-world solutions. Her research experience also spans topics such as AI coaching, IT artifact interaction, and hybrid neural models. She has proven capabilities in interdisciplinary teamwork, research execution, and academic leadership, underpinned by her consistent publication record.
Awards and Recognition
Dr. Haoyue Fan has been recognized for her academic excellence, leadership, and research contributions throughout her academic career. She received the prestigious National Scholarship and the Special Prize Scholarship in 2020, underscoring her status as one of China’s top graduate students. Her Master’s thesis was awarded as Outstanding, and she was named a Beijing Excellent Graduate in 2021. She also earned titles such as Outstanding Student Leader and Excellent School Student, highlighting both her academic and extracurricular leadership. Her research contributions have led to national patents and presentations at premier conferences, showcasing her innovation in health informatics and operational systems. These awards reflect her diligence, originality, and commitment to research with real-world impact. As a scholar consistently ranked at the top of her cohort, Dr. Fan’s accolades represent both peer and institutional recognition of her academic leadership and future potential in management science and technology.
Research Skills
Dr. Haoyue Fan possesses a rich skillset at the intersection of AI, management engineering, and health informatics. Her core competencies include deep learning, graph-based neural networks, XGBoost, and ensemble machine learning methods, which she applies in predictive analytics and decision-support systems. She has advanced expertise in IT artifact design, health platform behavior analysis, and operations research, especially in complex problem domains like staff scheduling and mental health detection. Dr. Fan is proficient in processing large-scale datasets, designing intervention systems, and conducting cross-disciplinary research within m-health and online communities. She is also experienced in system prototyping, model evaluation, and qualitative behavioral analysis. Her participation in national-level projects has refined her abilities in project management, team collaboration, and data privacy. Her research demonstrates a unique ability to integrate computational rigor with user-centered design, aiming to drive positive outcomes in digital health and public service optimization.
Publications
🤖 Suicide Risk Prediction for Users with Depression in Question Answering Communities: A Design Based on Deep Learning – Information & Management, 2025
👩⚕️ Exploring the Peer Effect of Physicians’ and Patients’ Participation Behavior: Evidence from Online Health Communities – IJERPH, 2022
🧠 A Two-Stage Hybrid Credit Default Evaluation Model Using XGBoost and Graph-Based Deep Neural Network – Expert Systems with Applications, 2022
🩸 Staff Scheduling in Blood Collection Problems – Annals of Operations Research, 2020