Saeid Naderi | Environmental Sciences | Best Researcher Award

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Assoc Prof Dr  Saeid Naderi |  Environmental Sciences  |  Best Researcher Award

Academic staff, Professor at  University of Guilan, Iran

Saeid Naderi was born on February 22, 1972, in Bandar-e-Anzali, Iran. He is an accomplished Iranian environmental scientist. Saeid earned his Bachelor of Science (B.Sc) degree in Environmental Sciences from Gorgan Agricultural and Natural Resources Sciences University in 1994. He further pursued his studies and obtained a Master of Science (M.Sc) degree in Environmental Sciences in 1997 from Tarbiat Modarres University, within the Natural Resources Faculty, Department of Environment. Driven by his passion for environmental research, Saeid completed his Ph.D. in Environmental Sciences in 2007 at Université Joseph Fourier (Grenoble 1) in France, working at the Laboratoire d’Ecologie Alpine. His academic journey has equipped him with extensive knowledge and expertise in environmental sciences.

Profile

🎓 Education:

  • B.Sc. Environmental Sciences, 1994, Gorgan Agricultural and Natural Resources Sciences University
  • M.Sc. Environmental Sciences, 1997, Tarbiat Modarres University, Natural Resources Faculty
  • Ph.D. Environmental Sciences, 2007, Université Joseph Fourier (Grenoble 1), France

Research Focus: Environmental Sciences

Saeid Naderi’s research focus in Environmental Sciences includes ecological studies, particularly in alpine environments. His work likely involves biodiversity conservation, ecosystem management, and environmental sustainability in challenging and sensitive habitats.

📄 Publication:

  • Identifying Wild Boar Crop Damage Hotspots
    Journal Article: Global Ecology and Conservation, 2024
    DOI: 10.1016/j.gecco.2024.e03065
    Contributors: Alireza Eshtiaghi; Saeid Naderi; Alireza Mohammadi; Ho Yi Wan
    This study aims to identify specific areas in northern Iran where wild boars (Sus scrofa) cause significant crop damage, contributing to strategies for mitigating human-wildlife conflicts.
  • Exposure to Pesticides Affecting Non-Target Species
    Journal Article: Environmental Science and Pollution Research, 2021
    DOI: 10.1007/s11356-021-13168-2
    Contributors: Nadimeh Shojaei; Saeid Naderi; Esmaeil Yasari; Naeim Moradi
    This research investigates how common pesticides used in northern Iranian rice fields impact the survival of non-target species, specifically Pelophylax ridibundus (Amphibia: Ranidae).
  • Trophic Flexibility of Eurasian Otter
    Journal Article: Aquatic Ecology, 2021
    DOI: 10.1007/s10452-021-09832-x
    Contributors: Alireza Mirzajani; Saeid Naderi; Ahmad Ganeh; Ehsan Hadipour; Morteza Salahi; Jamileh Javidpour
    This study examines the dietary habits and trophic flexibility of Eurasian otters (Lutra lutra) in Anzali Wetland, Iran, using fecal and stable isotope analysis.

 

Kuradusenge Martin | Crop Yield | Best Researcher Award

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Dr  Kuradusenge  Martin |  Crop Yield  |  Best Researcher Award

Lecturer at  University of Rwanda, Rwanda

Dr. Martin Kuradusenge is a lecturer at the University of Rwanda’s College of Science and Technology, School of ICT, Department of Computer and Software Engineering. He holds a PhD in Internet of Things (Wireless Intelligent Sensor Network) from the University of Rwanda. Additionally, he earned a Master’s degree in Communications Management (2009) and a BSc. degree in Computer Engineering and Information Technology (2002) from the University of Rwanda (formerly Kigali Institute of Science and Technology). He also possesses a Postgraduate Certificate in Learning and Teaching in Higher Education from the University of Rwanda, College of Education.

Profile

🎓 Education:

PhD in Internet of Things (University of Rwanda), MSc in Communications Management, BSc in Computer Engineering and Information Technology.

🌍 Research:

Currently leads projects on IoT-based crop yield prediction and early warning systems for natural disasters. He has published extensively, notably on machine learning applications in agriculture and environmental management.

Research Focus Crop Yield:

Dr. Martin Kuradusenge’s research includes a focus on Crop Yield prediction using IoT and machine learning models. He applies these technologies to enhance agricultural productivity and food security, particularly in Rwanda. His work integrates data-driven approaches to optimize crop management and mitigate environmental risks affecting yields.

Citations:

  • Total Citations: 158
  • Citations Since 2019: 156
  • h-index: 4
  • i10-index: 3

📄 Publication:

  • Crop yield prediction using machine learning models: Case of Irish potato and maize
    • Published in Agriculture, 2023
  • Rainfall-induced landslide prediction using machine learning models: The case of Ngororero District, Rwanda
    • Published in International Journal of Environmental Research and Public Health, 2020
  • Comparison of random forest and support vector machine regression models for forecasting road accidents
    • Published in Scientific African, 2023
  • Experimental Study of Site‐Specific Soil Water Content and Rainfall Inducing Shallow Landslides: Case of Gakenke District, Rwanda
    • Published in Geofluids, 2021
  • SMART-CYPS: An intelligent Internet of Things and Machine Learning powered crop yield prediction system for food security
    • Published in 2024
  • Risks Reduction of Rainfall-Induced Landslides-A Site-Specific Early Warning System (SSEWS)
    • Published in ICT Systems and Sustainability, 2022
  • Revolutionizing Coffee Farming: A Mobile App with GPS-Enabled Reporting for Rapid and Accurate On-Site Detection of Coffee Leaf Diseases Using Integrated Deep Learning
    • Published in Software, 2024
  • Predictive modelling and alert system for rainfall induced landslides
    • Published by University of Rwanda (College of Science and Technology), 2022

 

Barbara Wiewióra | Plant Breeding | Best Researcher Award

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Assoc Prof Dr Barbara Wiewióra |  Plant Breeding |  Best Researcher Award

Associated professor at  Plant Breeding and Acclimatization Institute – National Research Institute, Poland

Barbara Wiewióra was born on December 6, 1970. She pursued her higher education at the Academy of Agriculture in Kraków, Poland, where she studied from 1989 to 1994, earning a Master of Science degree in Agriculture.

Profile:

🎓 Education:

Academy of Agriculture, Kraków, Poland
Master of Science, Faculty of Agriculture (1989-1994)

🌱 Career Highlights:

Plant Breeding and Acclimatization Institute, Radzików, Poland

    • Department of Seed Science and Technology
    • Laboratory of Seed Health and Identity Evaluation
    • Assistant Professor (since January 2006)
    • Associate Professor (since March 2013)

🔬 Research Focus: Plant Breeding

Barbara Wiewióra’s research at the Plant Breeding and Acclimatization Institute is primarily focused on advancing seed science and technology. Her work encompasses:

  • Investigating seed genotypes for microorganism incidence
  • Assessing ergot contamination in grass seed
  • Studying seed factors affecting barley quality
  • Analyzing pea seed health at different maturity stages
  • Exploring the impact of tannin content on faba bean seed health
  • Ensuring seed health during triticale multiplication processes

Her contributions are instrumental in enhancing seed quality and agricultural sustainability.

Publication Top Notes:

  • The Infection of Barley at Different Growth Stages by Bipolaris sorokiniana and Its Effect on Plant Yield and Sowing Value
    • Agronomy, 2024-06
    • DOI: 10.3390/agronomy14061322
    • Contributors: Barbara Wiewióra, Grzegorz Żurek
    • Source: Multidisciplinary Digital Publishing Institute
  • Amenity Grasses—A Short Insight into Species, Their Applications and Functions
    • Agronomy, 2023-04-19
    • DOI: 10.3390/agronomy13041164
    • Contributors: Barbara Wiewióra, Grzegorz Żurek
    • Source: Crossref
  • Quantification of DNA of Fusarium culmorum and Trichothecene Genotypes 3ADON and NIV in the Grain of Winter Wheat
    • Pathogens, 2022-11-30
    • DOI: 10.3390/pathogens11121449
    • Contributors: Tomasz Góral, Jarosław Przetakiewicz, Piotr Ochodzki, Barbara Wiewióra, Halina Wiśniewska
    • Source: Crossref
  • Quantification of DNA of Fusarium culmorum and Trichothecene Genotypes 3ADON and NIV in the Grain of Winter Wheat
    • Preprint, 2022-11-15
    • DOI: 10.20944/preprints202211.0279.v1
    • Contributors: Tomasz Góral, Jarosław Przetakiewicz, Piotr Ochodzki, Barbara Wiewióra, Halina Wiśniewska
    • Source: Crossref
  • Different Response of Perennial Ryegrass—Epichloë Endophyte Symbiota to the Elevated Concentration of Heavy Metals in Soil
    • Journal of Applied Genetics, 2021-09-21
    • DOI: 10.1007/s13353-021-00661-0
    • Contributor: Barbara Wiewióra
    • Source: Barbara Wiewióra
  • The Response of the Associations of Grass and Epichloë Endophytes to the Increased Content of Heavy Metals in the Soil
    • Plants, 2021-02
    • DOI: 10.3390/plants10030429
    • Contributors: Barbara Wiewióra, Grzegorz Żurek
    • Source: Multidisciplinary Digital Publishing Institute
  • Ocena zdrowotności materiału nasiennego traw w zależności od wybranych zapraw nasiennych
    • Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin, 2021-01-22
    • DOI: 10.37317/biul-2021-0001
    • Contributors: Barbara Wiewióra, Dagmara Bronisz
    • Source: Crossref
  • The Fungal Communities on Spring Wheat Seeds from Different Environmental Conditions
    • Plant Breeding and Seed Science, 2018
    • Contributor: Barbara Wiewióra
    • Source: Barbara Wiewióra
  • Environmental Effect on Epichloë Endophyte Occurrence and Ergovaline Concentration in Wild Populations of Forage Grasses in Poland
    • Plant and Soil, 2017
    • DOI: 10.1007/s11104-016-3028-5
    • Contributor: Barbara Wiewióra
    • Source: Barbara Wiewióra
  • Endophyte-Mediated Disease Resistance in Wild Populations of Perennial Ryegrass (Lolium perenne)
    • Fungal Ecology, 2015
    • DOI: 10.1016/j.funeco.2015.01.004
    • Contributors: Barbara Wiewióra, Grzegorz Żurek, Marcin Żurek
    • Source: Barbara Wiewióra via Scopus – Elsevier

 

Alexander Mbiro | Agriculture | Best Researcher Award

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Mr Alexander Mbiro |  Agriculture |  Best Researcher Award

Senior Entomologist at  Buvuma District Local Government, Uganda

Mbiro Alexander, born on 13th September 1980 in Uganda, is a seasoned professional in agriculture, entomology, and environmental conservation. He holds a Master’s degree in Nematology from Ghent University, Belgium, specializing in agro-nematology, and a Bachelor’s degree in Entomology from Makerere University. Additionally, he completed a Diploma in Fish Processing from the Fisheries Training Institute in Entebbe.

Profile:

Work Experiences:

Senior Entomologist, Buvuma District Local Government . Agricultural Advisory Service Provider – Fisheries, NAADS. Field Assistant, Sustainable Use of Plant Diversity (SUPD)

Research Experiences and Presentations:

MSc in Nematology from Ghent University. Bachelor’s in Entomology from Makerere University. Diploma in Fish Processing from Fisheries Training Institute, Entebbe

Areas of Expertise:

  • Agriculture and Entomology
  • Fisheries and Aquaculture Management
  • Nature Conservation and Environmental Protection
  • Proposal Writing and Project Implementation
  • Policy Tracking in Agriculture and Environmental Sectors

Research Focus Agriculture:

Mbiro Alexander, a dedicated Ugandan researcher, specializes in agricultural sciences with a keen focus on sustainable practices and biodiversity conservation. His expertise spans across several key areas:

  1. Integrated Pest Management (IPM): Alexander has conducted extensive research in IPM strategies, particularly in managing crop pests and insect vectors. His work emphasizes ecological approaches to minimize pesticide use and enhance crop productivity.
  2. Nematology: With a Master’s degree in Nematology from Ghent University, Alexander has expertise in nematode management strategies. His research explores the interactions between nematodes and host plants, focusing on sustainable farming techniques.
  3. Crop Diversity and Resilience: He is actively involved in researching the use of cover crops and green manures to improve soil health and suppress plant-parasitic nematodes. Alexander investigates the role of crop diversity in enhancing agricultural resilience against climate change impacts.
  4. Community-based Agriculture Initiatives: As a Senior Entomologist in Buvuma District, Alexander leads initiatives in promoting beekeeping and sericulture among local communities. He integrates these practices with agricultural advisory services to foster sustainable livelihoods and environmental conservation.
  5. Policy Advocacy: Alexander tracks and analyzes government and international policies related to agriculture and environmental protection. He actively participates in forums aimed at enhancing policy frameworks that support resilient farming practices and biodiversity conservation.

Alexander’s research and practical contributions underscore his commitment to advancing agricultural sustainability and community resilience in Uganda and beyond. His holistic approach integrates scientific expertise with community engagement to address contemporary challenges in agriculture and environmental management.

 

Di Wang | Agricultural Machinery | Best Researcher Award

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Assist Prof Dr  Di  Wang |  Agricultural Machinery  | Best Researcher Award

Associate Professor at  School of Mechanical Engineering, Xinjiang University, China

Dr. Di Wang is an Associate Professor at Xinjiang University’s School of Mechanical Engineering, specializing in Agricultural Engineering and Computational Mechanics. He holds a Doctor of Engineering degree and has a rich educational background, including a Ph.D. from South China University of Technology.

 

Profile:

📚 Education:

Ph.D., School of Mechanical and Vehicle Engineering, South China University of Technology, 2014-2020 Master’s Degree, Henan University of Science and Technology, 2011-2014 Bachelor’s Degree, Henan University of Science and Technology, 2007-2011

📅 Experience:

Associate Professor: Xinjiang University (2022-Present) Lecturer: Xinjiang University (2020-2021)

🏆 Academic Achievements:

Published 10 SCI papers, authorized 14 invention patents. Presided over 3 projects, participated in 4 research projects

Research Focus: Agricultural Machinery

Dr. Di Wang specializes in advancing agricultural machinery through computational mechanics. His work is dedicated to enhancing the efficiency, performance, and sustainability of agricultural equipment. Specifically, his research focuses on:

  1. Design Optimization: Developing innovative designs for agricultural machinery to improve functionality and productivity.
  2. Material Science: Utilizing computational solid mechanics to enhance the durability and performance of agricultural equipment components.
  3. Field Performance Analysis: Using computational models to evaluate the performance of agricultural machinery under various soil and crop conditions.
  4. Precision Agriculture: Exploring how computational techniques can optimize precision agriculture practices, increasing yields while minimizing resource usage.

Dr. Wang’s contributions in this field aim to revolutionize modern farming practices, making them more efficient, sustainable, and technologically advanced.

Publication Top Notes:

[1] Di Wang, Wei Xu, Shunhua Chen, Mengyan Zang. An extrinsic cohesive shell model for dynamic fracture analyses. Theoretical and Applied Fracture Mechanics 97(2018) 165–176. (SCI, JCR:Q1, IF：4.017)

[2] Di Wang, Shunhua Chen, Wei Xu, Mengyan Zang. Impact failure analysis of laminated glass: An extrinsic cohesive shell approach. Computers & Structures 233(2020). (SCI, JCR:Q1, IF：4.578)

[3] Di Wang, Wei Xu, Mengyan Zang. Numerical modelling of impact failure of an automotive windshield glazing subjected to a dummy pedestrian headform. International Journal of Impact Engineering 141(2020). (SCI, JCR:Q1, IF：4.208)

[4] Di Wang , Ma F, Chen H. Numerical Simulation for Hydrogen-Assisted Cracking: An Explicit Phase-Field Formulation[J]. Materials, 2023, 16(4): 1708. (SCI, JCR:Q1, IF：3.748)

[5] Di Wang, Houcheng Fang, Ruilei Xue, and Shen Li. Numerical study on the axial collapse of thin-walled columns. Scientific Reports 14.1 (2024): 6018.

[6] Di Wang, Hui Wang, Yan Xu, Jianpin Zhou, and Xinyu Sui. “Numerical Simulations of the Driving Process of a Wheeled Machine Tire on a Snow-Covered Road.” Machines 11, no. 6 (2023): 657.

[7] Xinming Jin, Fangping Ma, Di Wang. 2023. Simulation of Mouldboard Plough Soil Cutting Based on Smooth Particle Hydrodynamics Method and FEM–SPH Coupling Method. Agriculture, 13(9), p.1847.

[8] Fang H，Di Wang . Simulation Analysis of Delamination Damage for the Thick-Walled Composite-Overwrapped Pressure Vessels[J]. Materials, 2022, 15(19): 6880. (SCI, JCR:Q1, IF：3.748)

[9] Dejia Lin, Di Wang, Shunhua Chen, Mengyan Zang. Numerical simulations of impact fracture behavior of an automotive windshield glazing: An intrinsic cohesive approach, Composite Structures 186. (2018) 79–93 (SCI, JCR:Q1, IF：5.407)

[10] Shunhua Chen, Mengyan Zang, Di Wang. Finite element modelling of impact damage in polyvinyl butyral laminated glass, Composite Structures 138 (2016) 1–11. (SCI,JCR:Q1, IF：5.407)

[11] Shunhua Chen, Mengyan Zang, Di Wang. Numerical analysis of impact failure of automotive laminated glass: A review, Composites Part B: Engineering 122 (2017) 47–60. (SCI, JCR:Q1, IF：9.078)

[12] Xiao Xu, Shunhua Chen, Di Wang, Mengyan Zang. An efficient solid-shell cohesive zone model for impact fracture analysis of laminated glass. Theoretical and Applied Fracture Mechanics 108 (2020). (SCI, JCR: Q1, IF 4.017)

[13] Xu Xiao, Di Wang, et al. Development of an intrinsic solid-shell cohesive zone model for impact fracture of windshield laminated glass. International Journal of Impact Engineering, 2022, 163: (SCI, JCR:Q1, IF：4.208).

[14] Zou, C., Yang, H., Chen, Di Wang, D., Zang, M., & Chen, S. (2024). Internal-interfacial cracking interaction: Combined phase-field and discontinuous Galerkin/cohesive zone modeling. International Journal of Mechanical Sciences, 273, 109211.

 

 

Saeed Sharafi | Agroecological | Best Researcher Award

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Assoc Prof Dr Saeed Sharafi |  Agroecological  |  Best Researcher Award

Environment at  Arak University, Iran

Dr. Saeed Sharafi, born on July 22, 1981, is an Assistant Professor in the Department of Environment Science and Engineering at Arak University, Iran. He completed his PhD in 2016 from the University of Zabol, focusing on agroecological zoning of key crops in Iran. He holds an MS from the Industrial University of Shahroud and a BS in Agronomy from Arak University.

 

Profile:

Education:

Ph.D. in Environmental Science, University of Zabol, Iran (2016). M.S. in Agronomy, Industrial University of Shahroud, Iran (2007). B.S. in Agronomy, Arak University, Iran (2005)

Expertise:

Research: Modeling, seed dynamics, medicinal plants, farming systems. Education: Lecturing on forage crop production, soil science, dryland farming, and more. Administration: Overseeing agro-industrial farms, lab management, and research councils

Professional Experience:

Extensive research and teaching experience since 2007, focusing on ecological aspects of crop production and medicinal plants. Conducted numerous projects on seed germination, climate change, and energy efficiency in agricultural production.

Agroecological Research Focus:

Saeed Sharafi, an Assistant Professor at Arak University, specializes in agroecology, blending agricultural science with ecological principles for sustainable farming practices. His research delves into understanding the intricate relationships between agricultural ecosystems and their environment. With a focus on agroecological zoning and climate conditions, Sharafi explores optimal conditions for crop cultivation in Iran. By integrating GIS and climate data, he identifies regions conducive to specific crops, enhancing agricultural productivity while minimizing environmental impact. Through his work, Sharafi contributes to the development of ecologically sound farming methods, promoting resilience and sustainability in agricultural systems. 🌾🌍

Citations:
  • Citations: 492
  • h-index: 11
  • i10-index: 13

These metrics reflect the academic impact of research publications, with higher values indicating greater influence within the scholarly community.

 

Publication Top Notes:

  • Effect of magnetic field on seed germination of two wheat cultivars
    • Authors: A Gholami, S Sharafi, H Abbasdokht
    • Journal: International Journal of Agricultural and Biosystems Engineering
    • Year: 2010
    • Citations: 73
  • Germination of different seed size of pinto bean cultivars as affected by salinity and drought stress
    • Authors: A Gholami, S Sharafi, A Sharafi, S Ghasemi
    • Journal: Journal of Food, Agriculture & Environment
    • Year: 2009
    • Citations: 45
  • Chilling stress in plants
    • Authors: Z Jouyban, R Hasanzade, S Sharafi
    • Journal: International Journal of Agriculture and Crop Sciences
    • Year: 2013
    • Citations: 38
  • Investigating trend changes of annual mean temperature and precipitation in Iran
    • Authors: S Sharafi, N Mir Karim
    • Journal: Arabian Journal of Geosciences
    • Year: 2020
    • Citations: 36
  • Evaluation of multivariate linear regression for reference evapotranspiration modeling in different climates of Iran
    • Authors: S Sharafi, MM Ghaleni
    • Journal: Theoretical and Applied Climatology
    • Year: 2021
    • Citations: 28
  • Spatial assessment of drought features over different climates and seasons across Iran
    • Authors: S Sharafi, MM Ghaleni
    • Journal: Theoretical and Applied Climatology
    • Year: 2022
    • Citations: 24
  • Calibration of empirical equations for estimating reference evapotranspiration in different climates of Iran
    • Authors: S Sharafi, M Mohammadi Ghaleni
    • Journal: Theoretical and Applied Climatology
    • Year: 2021
    • Citations: 23
  • Role of early warning systems for sustainable agriculture in Iran
    • Authors: S Sharafi, M Ramroudi, M Nasiri, M Galavi, GA Kamali
    • Journal: Arabian Journal of Geosciences
    • Year: 2016
    • Citations: 17