Jianping Zhang | Decision Sciences | Best Researcher Award

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

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šŸŽ“ EducationĀ 

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.

šŸ’¼ 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.

šŸ† 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.

šŸ”¬ 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 Jianpingā€™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.

šŸ“šPublicationsĀ 

  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.

 

Sajjad Rahimi-Moghaddam | Crop modeling | Young Scientist Award

Assist Prof Dr. Sajjad Rahimi-Moghaddam | Crop modeling |Young Scientist Award

Assist Prof Dr. Lorestan University, Iran

šŸ‘©ā€šŸ”¬Dedicated Assistant Professor at Lorestan University, specializing in Production Engineering and Plant Genetics. Holds a Ph.D. in Agroecology, focusing on climate change effects on maize yield. Recognized for academic excellence, ranking first in master’s exams and fifth in the Ph.D. exam. Published in renowned journals, contributing to the understanding of agro-climatic impacts on crop yields. Skilled in research and modeling, with a track record of closing yield gaps in crops. Committed to advancing agricultural science and bridging the gap between agronomic and genetic factors for sustainable crop production.Ā šŸŒŸ

 

Profile

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Scholar

 

šŸŒ¾Current Position

Assistant Professor, Department of Production Engineering and Plant Genetics, Faculty of Agriculture and Natural Resources, Lorestan University, Khorramabad, Iran.

šŸŽ“Educational Background

PhD: Agroecology, Shahid Beheshti University, Tehran, Iran Thesis: Modeling the effects of climate change on maize (Zea mays L.) yield in Khuzestan province: Adaptation strategies Supervisors: Dr. Jafar Kambouzia and Dr. Reza Deihimfard. MSc: Agroecology, Shahid Beheshti University, Tehran, Iran Thesis: Determination of genetic coefficients of some maize cultivars in Iran to be applied in crop simulation models Supervisors: Dr. Reza Deihimfard and Dr. Saeid Soufizadeh Advisors: Dr. Jafar Kambouzia and Dr. Farhad Nazariyan Firuzabadi BA: Agronomy and Plant Breeding, Lorestan University, Iran

šŸ†Academic Honors:

First Rank in the master exam trends of agroecology in 2011 among 6035 participants. First Rank in the master exam trends of agronomy in 2011 among 6035 participants. Twelfth Rank in the final round of the sixteenth Olympiad in agricultural engineering (Iran) and won a scholarship in 2011. Fifth Rank in the PhD exam trends of agroecology in 2013 among 800 participants.

Publications Top Notes šŸ“

  • Adaptation strategies to lessen negative impact of climate change on grain maize under hot climatic conditions: A model-based assessment
    • Authors: S Rahimi-Moghaddam, J Kambouzia, R Deihimfard
    • Journal: Agricultural and Forest Meteorology
    • Year: 2018
    • Volume: 253
    • Pages: 1-14
    • Citations: 68

 

  • Risk assessment of frost damage to sugar beet simulated under cold and semi-arid environments
    • Authors: R Deihimfard, S Rahimi-Moghaddam, K Chenu
    • Journal: International Journal of Biometeorology
    • Year: 2019
    • Pages: 511-521
    • Citations: 28

 

  • Future climate change could reduce irrigated and rainfed wheat water footprint in arid environments
    • Authors: R Deihimfard, S Rahimi-Moghaddam, B Collins, K Azizi
    • Journal: Science of the Total Environment
    • Year: 2022
    • Volume: 807
    • Pages: 150991
    • Citations: 27

 

  • Towards withholding irrigation regimes and drought-resistant genotypes as strategies to increase canola production in drought-prone environments: A modeling approach
    • Authors: S Rahimi-Moghaddam, H Eyni-Nargeseh, SAK Ahmadi, K Azizi
    • Journal: Agricultural Water Management
    • Year: 2021
    • Volume: 243
    • Pages: 106487
    • Citations: 25

 

  • Analysis of growth functions that can increase irrigated wheat yield under climate change
    • Authors: H Eyniā€Nargeseh, R Deihimfard, S Rahimiā€Moghaddam, …
    • Journal: Meteorological Applications
    • Year: 2020
    • Volume: 27
    • Issue: 1
    • Pages: e1804
    • Citations: 20