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Tag: Mobile computing

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Ming Xu | Urban computing | Best Researcher Award

Posted on 18/03/2024 by ScienceFather

Ming Xu | Urban computing | Best Researcher Award

Assoc Prof Dr Ming Xu Liaoning Technical University, China

He has been serving as an Associate Professor at the Software College of Liaoning Technical University since October 2010. In this role, he contributes significantly to the academic and research endeavors of the institution, specializing in software engineering and related fields. He pursued his academic journey in computer science, starting with a Bachelor’s degree from Liaoning Technical University, completed from September 1999 to 2003.

Education:

He pursued his academic journey in computer science, beginning with a Bachelor’s degree from Liaoning Technical University, which he completed from September 1999 to 2003. Following this, he furthered his education by earning a Master’s degree in Computer Science from Shenyang Ligong University, a program he attended from September 2005 to April 2008. Building upon his foundational knowledge, he continued to advance in the field, culminating in a Ph.D. in Computer Science from Beijing University of Posts and Telecommunications, where he studied from September 2010 to July 2015. Throughout his educational endeavors, he demonstrated a dedication to exploring and mastering the intricacies of computer science, from fundamental principles to advanced research topics. His academic pursuits reflect a commitment to intellectual growth and a passion for contributing to the field’s advancement. By obtaining these degrees, he not only acquired specialized expertise but also developed critical thinking skills and a deep understanding of theoretical concepts and practical applications in computer science. These educational achievements have prepared him to excel in both academic and professional settings, equipped with a comprehensive understanding of computer science principles and methodologies.

🌐 Profile Links:

  • Scopus
  • ORCID
  • Google Scholar
  • ResearchGate

Experience:

He has been serving as an Associate Professor at the Software College of Liaoning Technical University since October 2010. In this role, he contributes significantly to the academic and research endeavors of the institution, specializing in software engineering and related fields. His responsibilities include teaching undergraduate and graduate courses, supervising student research projects, and conducting independent research in his area of expertise. As an Associate Professor, he plays a crucial role in mentoring and guiding students, helping them develop their skills and knowledge in software development, programming languages, and computer science concepts. Additionally, he actively participates in collaborative research projects, publishes scholarly articles in reputable journals, and presents his findings at conferences to contribute to the advancement of knowledge in his field.

Honors and Awards:

In 2020, he received the World Artificial Intelligence Conference Youth Outstanding Paper Award, recognizing his remarkable contribution to the field. This prestigious accolade highlights his excellence and innovation in artificial intelligence research. His work, acknowledged on a global platform, demonstrates his dedication and expertise in advancing the frontiers of AI. By winning this award, he has not only showcased his talents but has also earned recognition for his impactful contributions to the scientific community. This achievement serves as a testament to his commitment to pushing the boundaries of knowledge and driving progress in artificial intelligence. With his exceptional skills and dedication to excellence, he continues to inspire others and shape the future of AI. This award marks a significant milestone in his career, affirming his position as a promising leader in the field of artificial intelligence, poised to make further groundbreaking discoveries.

Publications:

  1. Traffic flow prediction with rainfall impact using a deep learning method Cited By : 163, Published By : 2017
  2. Rumor propagation dynamic model based on evolutionary game and anti-rumor Cited By : 116, Published By : 2019
  3. Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis Cited By : 74, Published By : 2015
  4. Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning Cited By : 66, Published By : 2020
  5. Discovery of critical nodes in road networks through mining from vehicle trajectories Cited By : 59, Published By : 2018
  6. Emission pattern mining based on taxi trajectory data in Beijing Cited By : 36, Published By : 2019
  7. Urban air quality, meteorology and traffic linkages: Evidence from a sixteen-day particulate matter pollution event in December 2015, Beijing Cited By : 36, Published By : 2017
  8. 3-HBP: A three-level hidden Bayesian link prediction model in social networks Cited By : 33, Published By : 2018
  9. Anomaly detection in road networks using sliding-window tensor factorization Cited By : 30, Published By : 2019
  10. RBRA: A simple and efficient rating-based recommender algorithm to cope with sparsity in recommender systems Cited By : 30, Published By : 2012
Posted in: BiographyTagged: Artificial Intelligence, City governance, Civic engagement, Community participation, Data Analytics, Data visualization, Data-driven decision-making, Digital twins, Energy Efficiency, Environmental Monitoring, Geographic information systems (GIS), Human-computer interaction, Infrastructure management, Internet of Things (IoT), Location-based services, Machine Learning, Mobile computing, Public Health, Sensor Networks, Smart Cities, Social networks, Spatial analysis, Sustainable cities, Transportation systems, Urban data science, Urban design, Urban development, Urban environment, Urban informatics, Urban innovation, Urban mobility, Urban modeling, Urban Planning, Urban policy, Urban resilience, Urban sensing, Urban sensors, Urban simulation, Urban technology

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