David Hidalgo | Biological pest control | Best Researcher Award

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Mr David Hidalgo | Biological pest control |  Best Researcher Award

Investigador Agropecuario at  Instituto Nacional de Investigaciones Agropecuarias INIAP, Ecuador

David Adrián Hidalgo Mata is an accomplished agricultural engineer and entomologist specializing in biological pest control. He earned his degree in Agricultural Engineering in 2004 from Universidad de las Fuerzas Armadas (ESPE) in Ecuador and later pursued a Master of Science in Entomology, graduating from the National Agrarian University La Molina (UNALM) in Peru in 2019. David’s research focuses on developing sustainable pest management methods, including biological control tools, the rearing of predatory and parasitoid insects, and the use of entomopathogenic nematodes and fungi. His notable publications, such as the Manual for the Production of Entomopathogenic Fungi and Quality Analysis of Bioformulated Products, reflect his commitment to advancing eco-friendly pest control solutions. Recognized internationally, David was selected as a USDA Foreign Agricultural Service Scientific Exchange Program fellow, conducting impactful research on tick control technologies at North Carolina State University. He is an active member of both the Entomological Society of Ecuador and the Entomological Society of Peru, contributing to the advancement of agricultural science in Latin America.

 

Publication Profile

🔬 Academic Background:

  • 2004: Graduated with a degree in Agricultural Engineering from Universidad de las Fuerzas Armadas (ESPE), Ecuador.
  • 2019: Completed a Master of Science in Entomology from the National Agrarian University La Molina (UNALM), Peru.

🌱 Research Focus:

David’s work centers on innovative biological control methods in agriculture, specializing in the development of:

  • Biological control tools
  • Rearing of predatory and parasitoid insects
  • Use of entomopathogenic nematodes and fungi for pest management

🏅 Awards and Recognition:

David was selected as a fellow in the USDA’s Foreign Agricultural Service Scientific Exchange Program (SEP), where he conducted research on tick control technologies at North Carolina State University under the mentorship of Dr. R. Michael Roe.

Publication Top Notes

  • Non-Chemical Control of Nymphal Longhorned Tick, Haemaphysalis longicornis Neumann 1901 (Acari: Ixodidae), Using Diatomaceous Earth
    Authors: DWWRMR Reuben A. Garshong, David Hidalgo, Loganathan Ponnusamy
    Insects, Vol. 15, Issue 11, Page 14, 2024
  • Optimization of Solid Substrates for the Production of Conidia of Beauveria spp. and Isaria spp.
    Authors: JMR Suarez, JPS Pazmiño, GAG Mendoza, MEN Parraga, HMD Adrian
    Emerging, Vol. 4, Issue 2, Page 16, 2024
  • Ovicidal Effect of Beauveria spp. on Rhipicephalus microplus Tick Eggs in Greenhouses
    Authors: KDL Sangucho, GAG Mendoza, RRÁ Vaca, MEN Parraga, DAH Mata
    Emerging, Vol. 4, Issue 2, Page 14, 2024
  • Tick Control Using Beauveria bassiana Strain INIAP L3B3 in Combination with Organic and Chemical Molecules
    Authors: LMH Montero, ABR Peláez, GAG Mendoza, MEN Parraga, HMD Adrian
    Emerging, Scientific Magazine, Vol. 4, Issue 2, Page 14, 2024
  • International Scientists Conduct Climate Smart Research at NC State
    CIPN North Carolina State University, 2023
  • Entomopathogenic Fungi for Tick Control
    YouTube Video, 2023
  • Manual for the Production of Entomopathogenic Fungi and Quality Analysis of Bioformulations
    Authors: D. Hidalgo, C. Tello
    INIAP Repository, 2022
  • Obtaining Entomopathogenic Fungi
    YouTube Video, 2022
  • Production of Entomopathogenic Fungi
    YouTube Video, 2022
  • Development of Biopesticides Based on Entomopathogenic Fungi
    YouTube Video, 2022
  • Breeding of Insects for the Production of Biological Control Agents
    YouTube Video, 2022
  • Plant Protection Laboratory – Soldier Fly
    YouTube Video, 2021
  • Development of a Pelleting Methodology for Beauveria bassiana with Peruvian Inputs
    Author: D.A. Hidalgo Mata
    National Agrarian University La Molina, 2019

 

Ming-shin Kuo | pest control | Best Researcher Award

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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