Weili Sun | Smart Farming | Best Researcher Award

Mr Weili Sun |  Smart Farming |  Best Researcher Award

Master at  Nanjing Agricultural University, China

Weili Sun is currently pursuing a Master’s degree in Electronic Information at Nanjing Agricultural University under the mentorship of Associate Professors Fei Hu and Xiuqing Fu. He also serves as the Minister of Culture and Sports in the Graduate Student Union. Weili completed his undergraduate studies in Measurement and Control Technology and Instruments at Yangzhou University, where he was a class monitor and participated in several national-level innovation and entrepreneurship projects. He won the second prize in the Yangzhou University Challenge Cup and received an excellent award in the Jiangsu Province College Student Electronic Design Competition.

Profile:

📚 Educational Background:

  • Master’s Degree (2023.09 – Present):
    Currently pursuing a Master’s degree in Electronic Information at Nanjing Agricultural University. Mentored by Associate Professors Fei Hu and Xiuqing Fu.
  • Bachelor’s Degree (2018.09 – 2022.06):
    Graduated with a degree in Measurement and Control Technology and Instruments from Yangzhou University. Served as class monitor and actively participated in various innovation and entrepreneurship projects, earning accolades such as the second prize in the Yangzhou University Challenge Cup and the Excellent Award in the Jiangsu Province College Student Electronic Design Competition.

🎓 Leadership Roles:

  • Minister of Culture and Sports:
    Serves as the Minister of Culture and Sports of the Graduate Student Union at Nanjing Agricultural University, showcasing strong leadership and organizational skills.

🔬 Research Experience:

  1. Lightweight Identification and Detection Method for Pear Tree Pollen Germination Vitality
    Developed a pear pollen germination detection system to improve pollination efficiency and optimize fruit yields. Designed a lightweight model to monitor pear tree pollen germination, reducing deployment costs and applying transfer learning for other fruit trees.

    • 📄 Publication: Published a paper as the first author on the project’s detection accuracy and cost-efficiency.
  2. 3D Point Cloud Segmentation of Cotton Growth
    Collaborated with the Xinjiang Agricultural Reclamation Science Research Institute to study the effects of salt stress on cotton growth using a multi-view imaging system and 3D Gaussian Splatting technology. Developed the SAMPoint segmentation algorithm for efficient data segmentation.

    • 🌱 Impact: Provided a theoretical basis and guidance for salt stress management in cotton.
  3. Development of Intelligent Negative Pressure Transfer Isolation Cabin
    Innovated an isolation cabin designed for the safe transport of infectious disease patients, featuring a unidirectional fresh air system, real-time environmental monitoring, and cloud-based data management.

    • 🏥 Application: Enhances protection for medical staff and efficient isolation during disease outbreaks.

📊 Research Impact Metrics:

  • Citations: 525 (Total), 463 (Since 2019)
  • h-index: 11 (Overall and Since 2019)
  • i10-index: 11 (Overall and Since 2019)

Publication Top Notes:

  • Managing connected and automated vehicles at isolated intersections: From reservation-to optimization-based methods
    C. Yu, W. Sun, H.X. Liu, X. Yang
    Transportation Research Part B: Methodological, 122, 416-435 (2019)
    Citations: 121
  • A capacity maximization scheme for intersection management with automated vehicles
    W. Sun, J. Zheng, H.X. Liu
    Transportation Research Procedia, 23, 121-136 (2017)
    Citations: 88
  • Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach
    H.W. Wang, Z.R. Peng, D. Wang, Y. Meng, T. Wu, W. Sun, Q.C. Lu
    Transportation Research Part C: Emerging Technologies, 115, 102619 (2020)
    Citations: 85
  • A continuous-flow-intersection-lite design and traffic control for oversaturated bottleneck intersections
    W. Sun, X. Wu, Y. Wang, G. Yu
    Transportation Research Part C: Emerging Technologies, 56, 18-33 (2015)
    Citations: 77
  • A capacity maximization scheme for intersection management with automated vehicles
    W. Sun, J. Zheng, H.X. Liu
    Transportation Research Part C: Emerging Technologies, 94, 19-31 (2018)
    Citations: 30
  • Quasi-optimal feedback control for an isolated intersection under oversaturation
    W. Sun, Y. Wang, G. Yu, H.X. Liu
    Transportation Research Part C: Emerging Technologies, 67, 109-130 (2016)
    Citations: 27
  • Quasi-optimal feedback control for a system of oversaturated intersections
    W. Sun, Y. Wang, G. Yu, H.X. Liu
    Transportation Research Part C: Emerging Technologies, 57, 224-240 (2015)
    Citations: 25
  • Traffic signal optimization using crowdsourced vehicle trajectory data
    J. Zheng, W. Sun, S. Huang, S. Shen, C. Yu, J. Zhu, B. Liu, H.X. Liu
    Transportation Research Board 97th Annual Meeting
    Citations: 22
  • Fine-tuning time-of-day partitions for signal timing plan development: Revisiting clustering approaches
    P. Chen, N. Zheng, W. Sun, Y. Wang
    Transportmetrica A: Transport Science, 15(2), 1195-1213 (2019)
    Citations: 16
  • Development of a queue warning system utilizing ATM infrastructure system development and field-testing
    J. Hourdos, Z. Liu, P. Dirks, H.X. Liu, S. Huang, W. Sun, L. Xiao
    Minnesota Dept. of Transportation, Research Services & Library (2017)
    Citations: 12
  • Signal timing parameters estimation for intersections using floating car data
    Z. Du, X. Yan, J. Zhu, W. Sun
    Transportation Research Record, 2673(6), 189-201 (2019)
    Citations: 11

 

 

 

Hsiuying Wang | Sustainable Agriculture | Best Researcher Award

Prof Hsiuying Wang | Sustainable Agriculture | Best Researcher Award

Professor at  National Yang Ming Chiao Tung University, Taiwan

Dr. Hsiuying Wang is a distinguished professor at the Institute of Statistics, National Yang Ming Chiao Tung University. With a Ph.D. in statistics from National Taiwan University and National Tsing Hua University, Dr. Wang has a robust academic background that laid the foundation for her illustrious career. Since joining the Institute in 1996, she has dedicated over 28 years to academia and research.

Profile:

📚 Education & Experience:

Dr. Hsiuying Wang, a distinguished professor at the Institute of Statistics, National Yang Ming Chiao Tung University, holds a PhD in mathematics and statistics. She completed her bachelor’s, master’s, and doctoral degrees from National Taiwan University and National Tsing Hua University between 1988 and 1996.

🏅 Academic Achievements:

Dr. Wang’s scholarly pursuits are highlighted by approximately 90 international journal publications. She holds editorial positions in esteemed journals such as Frontiers in Genetics, Frontiers in Oncology, and Scientific Reports. Recognized for her scholarly impact, she was inducted as a full member of the Sigma Xi Scientific Research Honor Society in 2023.

🌱 Sustainable Agriculture Research Focus

Dr. Hsiuying Wang, a distinguished professor at the Institute of Statistics, National Yang Ming Chiao Tung University, brings her expertise in statistics to the realm of sustainable agriculture. With a PhD in mathematics and statistics and 28 years of experience, Dr. Wang has diversified her research focus to encompass sustainable agriculture alongside her specialization in bioinformatics and biomaterials. 🔬 Interdisciplinary Approach Employing an interdisciplinary approach, Dr. Wang delves into statistical methodologies to address challenges in sustainable agriculture. Her research aims to optimize resource allocation, improve crop yield prediction models, and enhance farming practices through data-driven insights. 🌿 Bridging Statistical Analysis with Agricultural Innovation By integrating statistical analysis with agricultural innovation, Dr. Wang seeks to develop sustainable solutions for food security, environmental conservation, and economic resilience in farming communities. Her work underscores the importance of data-driven decision-making in fostering agricultural sustainability. 🏅 Commitment to Progress As a dedicated educator and researcher, Dr. Wang remains committed to advancing sustainable agriculture practices. Her vision encompasses a future where statistical analysis serves as a cornerstone for agricultural development, paving the way for a more resilient and equitable food system.

Citations:

  • Total Citations: 1429
  • Citations Since 2019: 949
  • H-index: 22
  • i10-index: 46 (All time)
  • i10-index: 31 (Since 2019)

Publication Top Notes:

  1. “A review of the effects of collagen treatment in clinical studies”
    • Journal: Polymers, Volume 13, Issue 22, Page 3868, Year 2021
    • Citations: 108
  2. “MicroRNAs and apoptosis in colorectal cancer”
    • Journal: International Journal of Molecular Sciences, Volume 21, Issue 15, Page 5353, Year 2020
    • Citations: 90
  3. “Comparison of p control charts for low defective rate”
    • Journal: Computational Statistics & Data Analysis, Volume 53, Issue 12, Pages 4210-4220, Year 2009
    • Citations: 60
  4. “Anti-NMDA receptor encephalitis and vaccination”
    • Journal: International Journal of Molecular Sciences, Volume 18, Issue 1, Page 193, Year 2017
    • Citations: 58
  5. “Exploring microRNA biomarker for amyotrophic lateral sclerosis”
    • Journal: International Journal of Molecular Sciences, Volume 19, Issue 5, Page 1318, Year 2018
    • Citations: 43
  6. “Tolerance intervals for discrete distributions in exponential families”
    • Journal: Statistica Sinica
    • Pages: 905-923, Year 2009
    • Citations: 40
  7. “Efficacies of treatments for anti-NMDA receptor encephalitis”
    • Journal: Frontiers in Bioscience
    • Volume 21, Pages 651-663, Year 2016
    • Citations: 38
  8. “Tolerance intervals with improved coverage probabilities for binomial and Poisson variables”
    • Journal: Technometrics, Volume 51, Issue 1, Pages 25-33, Year 2009
    • Citations: 36
  9. “Exact confidence coefficients of simultaneous confidence intervals for multinomial proportions”
    • Journal: Journal of Multivariate Analysis, Volume 99, Issue 5, Pages 896-911, Year 2008
    • Citations: 35