Ming-shin Kuo | pest control | Best Researcher Award

Assoc Prof Dr Ming-shin  Kuo | pest control |  Best Researcher Award

Associate Professor at  Kainan University, Taiwan

Dr. Ming-Shin Kuo is an Assistant Professor at Kainan University, Taiwan, with a focus on Artificial Intelligence (AI), smart agriculture, and transportation systems. He earned his Ph.D. and M.S. degrees in Transportation Management from National Taiwan Ocean University, where his research specialized in AI and transportation systems analysis.

 

Profile:

🎓 Education:

  • PhD in Transportation Management
    National Taiwan Ocean University, Taiwan (2002-2006)
  • MS in Transportation Management
    National Taiwan Ocean University, Taiwan (2001-2002)

🚀 Current Positions:

  • Advisor, Taoyuan City Government (May 2023 – Present)
  • Assistant Professor, Beachelor Program of Artificial Intelligence Technology and Innovative Design, Kainan University (2024-Present)
  • Assistant Professor, Department of Health Industry Management, Kainan University (2023-2024)
  • Assistant Professor, Department of Transportation, Kainan University (2015-2023)

🏆 Highlights of Qualifications:

  • Expertise in AI (Fuzzy Systems, Neural Networks, Genetic Algorithms, etc.)
  • Transportation Planning and Management
  • Smart Agriculture and AI Drone Design
  • Big Data Analysis and Decision Analysis

🌟 Research Interests:

  • AI Drone Design and Application
  • Smart Health/Healthcare
  • Crowd Detection and Measurement Analysis
  • Intelligent Transportation Systems (ITS)

📈 Citation Metrics:

  • Total Citations: 845
  • Documents: 755
  • h-index: 13

Publication Top Notes:

  • “Exploring motorcycle red-light violation in response to pedestrian green signal countdown device”
    Chen, P.-L., Pai, C.-W., Jou, R.-C., Saleh, W., & Kuo, M.-S.
    Accident Analysis and Prevention, 2015, 75, pp. 128–136
    Citations: 22
  • “Motorcyclists violating hook-turn area at intersections in Taiwan: An observational study”
    Pai, C.-W., Hsu, J.-J., Chang, J.-L., & Kuo, M.-S.
    Accident Analysis and Prevention, 2013, 59, pp. 1–8
    Citations: 27
  • “A soft computing method of performance evaluation with MCDM based on interval-valued fuzzy numbers”
    Kuo, M.-S., & Liang, G.-S.
    Applied Soft Computing Journal, 2012, 12(1), pp. 476–485
    Citations: 122
  • “A novel hybrid decision-making model for selecting locations in a fuzzy environment”
    Kuo, M.-S., & Liang, G.-S.
    Mathematical and Computer Modelling, 2011, 54(1-2), pp. 88–104
    Citations: 36
  • “Optimal location selection for an international distribution center by using a new hybrid method”
    Kuo, M.-S.
    Expert Systems with Applications, 2011, 38(6), pp. 7208–7221
    Citations: 96
  • “Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment”
    Kuo, M.-S., & Liang, G.-S.
    Expert Systems with Applications, 2011, 38(3), pp. 1304–1312
    Citations: 184
  • “A novel interval-valued fuzzy MCDM method for improving airlines’ service quality in Chinese cross-strait airlines”
    Kuo, M.-S.
    Transportation Research Part E: Logistics and Transportation Review, 2011, 47(6), pp. 1177–1193
    Citations: 107

 

Jianguo Wu | Agricultural Intelligent Equipment | Best Researcher Award

Mr Jianguo Wu |  Agricultural Intelligent Equipment | Best Researcher Award

Postgraduate at  Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, China

Jianguo Wu, a graduate student specializing in agricultural intelligent equipment, is currently affiliated with the Precision Pesticide Application Department at the Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences. Born on March 16, 1995, Jianguo began his master’s degree in Mechanical Engineering at the College of Mechanical and Electrical Engineering, Xinjiang Agricultural University in September 2021. His academic journey led him to joint training at the Intelligent Equipment Research Center from June 2022 to June 2024, focusing on designing a spray boom height control system for sprayers.

 

Profile:

Educational Journey:

🎓 Master’s in Mechanical Engineering from the College of Mechanical and Electrical Engineering, Xinjiang Agricultural University (commenced in September 2021). 📚 Joint Training at the Intelligent Equipment Research Center from June 2022 to June 2024.

Professional Experience:

📝 Published two core papers in Chinese. 🌐 Published one JCR Q1 paper. 🏆 Holder of a Chinese invention patent and a computer software copyright.

Achievements:

  • 📈 H-index and Cumulative Impact Factor: 6.342.
  • 🏅 Received 4 awards and recognitions.
  • 👥 Active member of 40 professional bodies.

Jianguo Wu’s research and innovations significantly contribute to advancing agricultural intelligent equipment technology, making strides toward the future of autonomous farming. 🌾🔧

Research Focus in Agricultural Intelligent Equipment:

Jianguo Wu’s research focuses on advancing Agricultural Intelligent Equipment, particularly specializing in the precision and efficiency of pesticide application. His work, based at the Intelligent Equipment Research Center of the Beijing Academy of Agriculture and Forestry Sciences, centers on developing innovative systems for spray boom height control in agricultural sprayers. Through his expertise, Jianguo aims to enhance the automation and effectiveness of farming practices, contributing to sustainable agricultural solutions and improved crop yield management.

Publication:

Model for Detecting Boom Height Based on an Ultrasonic Sensor for the Whole Growth Cycle of Wheat Agriculture, 2023-12-22 | Journal Article DOI: 10.3390/agriculture14010021