China University of Mining & Technology, Beijing - China
Author Profile
Scopus
🎓 Early Academic Pursuits
Ms. Xinge Han’s academic journey began with a solid foundation in Computer Science and Technology at Chongqing University of Science & Technology, where she obtained her bachelor’s degree in 2016. Her passion for research and safety systems led her to pursue a master’s degree in Safety Engineering at the People's Public Security University of China, culminating in a dissertation on urban theft crime prediction using advanced machine learning techniques. She is currently engaged in a combined Ph.D. program in Safety Science and Engineering at the China University of Mining & Technology, Beijing, focusing on innovative methods for predicting and early warning of human thermal stress using cloud collaboration. Her academic growth was further enriched by her tenure as an international scholar at KU Leuven, Belgium.
💼 Professional Endeavors
Ms. Han’s professional experience includes working as an internal staff member of the Narcotics Control Team at the Public Security Bureau of Yanshan County, where she gained firsthand insights into the complexities of community safety and law enforcement. This practical experience provided a strong foundation for her subsequent research endeavors, particularly her work on community risk prediction and prevention. Her tenure as an International Scholar at KU Leuven has further broadened her exposure to global safety science challenges and cutting-edge research methods.
🔬 Contributions and Research Focus
Ms. Han’s research is at the intersection of safety engineering, predictive modeling, and technology. Her dissertation work revolves around predicting and warning against human thermal stress using cloud collaboration, a timely and important research topic given the rising concerns about climate change and its impacts on human health. She has also contributed to the integration of LSTM (Long Short-Term Memory) and ST-GCN (Spatio-Temporal Graph Convolutional Networks) to predict urban theft crime, showcasing her expertise in combining data science with real-world safety challenges.
🌍 Impact and Influence
Ms. Han’s work has had a significant impact on the field of safety science. Her predictive models and innovative approaches to risk assessment are widely recognized for their practical applications in urban and extreme environments. Her research on personal protection in extreme high and low-temperature conditions has provided invaluable data for improving safety protocols for individuals operating in hazardous environments. Her contributions have influenced policy-making and operational strategies, particularly in law enforcement and urban planning sectors.
🏆Academic Cites
Ms. Han’s publications are frequently cited in academic journals and conferences, highlighting her influence in the domains of safety engineering and personal risk management. Her work bridges the gap between theoretical research and real-world applications, making it a valuable resource for scholars and practitioners alike.
🌟 Legacy and Future Contributions
Ms. Han’s legacy lies in her innovative integration of computational models with safety science, advancing the field of personal protection. Her future contributions are expected to focus on refining predictive technologies and exploring new dimensions of safety science, such as integrating multidimensional perception data into risk assessment systems. By mentoring young researchers and fostering interdisciplinary collaboration, Ms. Han is poised to leave a lasting impact on safety engineering and risk management.
📝Personal Protection
Throughout her career, Ms. Han has prioritized enhancing personal protection through innovative research and technological integration. Her development of prediction models for personal protection in extreme environments exemplifies her commitment to safeguarding human health and safety. The future of personal protection is set to benefit greatly from her ongoing research and collaborative initiatives.
Notable Publication
📝Sex Differences in Physiological Responses and Thermal Perception During Repeated Extremely Cold Exposure (−15 °C)
Authors: Li, C., Wu, J., Shen, S., Jiang, C., Han, X.
Journal: Energy and Buildings
Year: 2024
Citations: 0
📝Occupant Behavioral Adjustments and Thermal Comfort with Torso and/or Foot Warming in Two Cold Indoor Environments
Authors: Wang, F., Ke, Y., Zheng, Q., Zhou, H., Yang, B.
Journal: Building and Environment
Year: 2024
Citations: 6
📝Exploring the Correlation Between Temperature and Crime: A Case-Crossover Study of Eight Cities in America
Authors: Hu, J., Hu, X., Han, X., Wu, H., Shen, B.
Journal: Journal of Safety Science and Resilience
Year: 2024
Citations: 1
📝Prediction of Human Thermal Comfort Preference Based on Supervised Learning
Authors: Han, X., Hu, Z., Li, C., Li, C., Sun, B.
Journal: Journal of Thermal Biology
Year: 2023
Citations: 9
📝An Integrated Graph Model for Spatial–Temporal Urban Crime Prediction Based on Attention Mechanism
Authors: Hou, M., Hu, X., Cai, J., Han, X., Yuan, S.
Journal: ISPRS International Journal of Geo-Information
Year: 2022
Citations: 13
📝Risk Prediction of Theft Crimes in Urban Communities: An Integrated Model of LSTM and ST-GCN
Authors: Han, X., Hu, X., Wu, H., Shen, B., Wu, J.
Journal: IEEE Access
Year: 2020
Citations: 32