Jianping Zhang | Decision Sciences | Best Researcher Award

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Prof. Dr. Jianping Zhang | Decision Sciences | Best Researcher Award

Director of Uncrewed Aircraft Intelligent Traffic Technology Center at Second Research Institute of Civil Aviation Administration of China China

Zhang Jianping, born in 1976, is a renowned researcher and academic in the field of unmanned aircraft systems and air mobility. With a PhD in Engineering from Nanjing University of Aeronautics and Astronautics, he currently serves as a Researcher at the Second Research Institute of Civil Aviation Administration of China and as a Distinguished Professor at Southwest Jiaotong University. Zhang is the Director of the Civil Unmanned Aircraft Traffic Management Key Laboratory of Sichuan Province. He has made significant contributions to the development of unmanned aircraft traffic management (UTM) systems and international standards.

Profile

Scopus

🎓 Education 

Ph.D. in Engineering: Nanjing University of Aeronautics and Astronautics, specializing in air traffic management systems. Pioneered research in unmanned traffic management, urban air mobility, and advanced air mobility. Developed expertise in engineering solutions for intelligent air traffic systems during doctoral studies.

💼 Experience

Researcher: Second Research Institute of Civil Aviation Administration of China; led national projects in UTM development. Distinguished Professor: Southwest Jiaotong University, mentoring PhD candidates in air mobility and traffic systems. Director: Civil Unmanned Aircraft Traffic Management Key Laboratory of Sichuan Province; guided innovations in air traffic systems.

🏆 Awards & Honors

Special Award for Scientific and Technological Progress: China Communications and Transportation Association. First Prize: Civil Aviation Administration of China Science and Technology Award. Recognized for impactful contributions to UTM systems and intelligent air traffic management products.

🔬 Research Focus

Development of unmanned aircraft traffic management (UTM) systems. Urban air mobility (UAM) and advanced air mobility (AAM). International standards for unmanned aircraft systems (ISO 23629-9). Intelligent air traffic management systems for civil aviation applications.

Conclusion

Zhang Jianping’s exemplary achievements in unmanned aircraft traffic management and intelligent air traffic systems position him as a leading contender for the Best Researcher Award. His visionary leadership, significant contributions to both national and international projects, and ability to bridge the gap between research and real-world applications make him a deserving candidate. By expanding his global collaborations and mentoring future researchers, Zhang Jianping has the potential to continue making transformative advancements in the field of air mobility.

📚Publications 

  1. Title: SPE-SHAP: Self-paced ensemble with Shapley additive explanation for the analysis of aviation turbulence triggered by wind shear events
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Chen, F.

 

  1. Title: A New Frontier in Wind Shear Intensity Forecasting: Stacked Temporal Convolutional Networks and Tree-Based Models Framework
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Chen, F.; H. Almaliki, A.

 

  1. Title: Estimating Wind Shear Magnitude Near Runways at Hong Kong International Airport Using an Interpretable Local Cascade Ensemble Strategy
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Chen, F.; Almujibah, H.

 

  1. Title: Wind Shear and Aircraft Aborted Landings: A Deep Learning Perspective for Prediction and Analysis
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Hussain, A.; Almujibah, H.

 

  1. Title: AI-supported estimation of safety critical wind shear-induced aircraft go-around events utilizing pilot reports
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Chen, F.; Matara, C.M.

 

  1. Title: An optimisation model of hierarchical facility location problem for urban last-mile delivery with drones
    • Year: 2024
    • Authors: Zhang, G.; Zhang, J.; He, B.; Zhang, R.; Zou, X.

 

  1. Title: Estimating Turbulence Due to Low-Level Wind Shear in Airport Runway Zones Using TabNet-SHAP Framework
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Almaliki, A.H.; Mongina Matara, C.

 

  1. Title: Explainable Boosting Machine: A Contemporary Glass-Box Strategy for the Assessment of Wind Shear Severity in the Runway Vicinity Based on the Doppler Light Detection and Ranging Data
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Chen, F.; Almujibah, H.

 

  1. Title: Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data
    • Year: 2024
    • Authors: Khattak, A.; Zhang, J.; Chan, P.-W.; Chen, F.

 

  1. Title: The Architecture of a Comprehensive System for Civil Unmanned Aerial Vehicle Traffic Management in Urban Low-Altitude Airspace
    • Year: 2023
    • Authors: Cao, L.; Xu, Q.; Chen, C.; Wu, Q.; Zhang, J.

 

Decision Sciences

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Introduction of Decision Sciences

Decision Science research is a multidisciplinary field that delves into the study of human decision-making processes and the development of tools and techniques to enhance decision quality. It draws insights from various disciplines such as psychology, economics, statistics, and operations research to provide valuable guidance in complex decision scenarios

Behavioral Economics

Behavioral economics examines how psychological factors influence individuals’ economic decisions. Researchers in this subfield explore cognitive biases, heuristics, and emotional influences on economic choices, shedding light on why people make certain decisions and how these can be nudged towards more rational outcomes.

Decision Analysis

Decision analysis is a structured approach to making decisions, particularly in situations involving uncertainty and multiple criteria. Researchers develop models and techniques to help individuals and organizations assess options, quantify risks, and prioritize choices based on objectives and preferences.

Game Theory

Game theory is the study of strategic interactions among rational decision-makers. Decision scientists employ game theory to analyze and optimize decision-making in competitive scenarios, negotiation processes, and cooperative settings, providing valuable insights in various fields, including economics and political science.

Risk Management

Risk management in Decision Science revolves around identifying, assessing, and mitigating potential risks in decision-making processes. Researchers in this subfield develop strategies to handle uncertainty and create robust decision frameworks, which are crucial for industries such as finance, healthcare, and project management.

Decision Support Systems (DSS)

Decision Support Systems are computer-based tools that assist decision-makers in complex, data-rich environments. Researchers in this area design and develop DSS to help individuals and organizations make informed decisions by integrating data analytics, visualization, and modeling to present relevant information and options.

Decision Science research plays a pivotal role in both understanding how decisions are made and improving the quality of decisions across various domains, ultimately contributing to more effective and informed choices in both personal and professional contexts.

Decision Sciences

Posted on by ScienceFather

Introduction of Decision Sciences

Decision Science research is a multidisciplinary field that delves into the study of human decision-making processes and the development of tools and techniques to enhance decision quality. It draws insights from various disciplines such as psychology, economics, statistics, and operations research to provide valuable guidance in complex decision scenarios

Behavioral Economics

Behavioral economics examines how psychological factors influence individuals’ economic decisions. Researchers in this subfield explore cognitive biases, heuristics, and emotional influences on economic choices, shedding light on why people make certain decisions and how these can be nudged towards more rational outcomes.

Decision Analysis

Decision analysis is a structured approach to making decisions, particularly in situations involving uncertainty and multiple criteria. Researchers develop models and techniques to help individuals and organizations assess options, quantify risks, and prioritize choices based on objectives and preferences.

Game Theory

Game theory is the study of strategic interactions among rational decision-makers. Decision scientists employ game theory to analyze and optimize decision-making in competitive scenarios, negotiation processes, and cooperative settings, providing valuable insights in various fields, including economics and political science.

Risk Management

Risk management in Decision Science revolves around identifying, assessing, and mitigating potential risks in decision-making processes. Researchers in this subfield develop strategies to handle uncertainty and create robust decision frameworks, which are crucial for industries such as finance, healthcare, and project management.

Decision Support Systems (DSS)

Decision Support Systems are computer-based tools that assist decision-makers in complex, data-rich environments. Researchers in this area design and develop DSS to help individuals and organizations make informed decisions by integrating data analytics, visualization, and modeling to present relevant information and options.

Decision Science research plays a pivotal role in both understanding how decisions are made and improving the quality of decisions across various domains, ultimately contributing to more effective and informed choices in both personal and professional contexts.