Elham Shadkam | Agriculture | Best Researcher Award

Dr Elham Shadkam |  Agriculture |  Best Researcher Award

Assistant Professor at  Khayyam University,  Iran

Dr. Elham Shadkam is an Assistant Professor at the Department of Industrial Engineering, Faculty of Engineering, Khayyam University, Mashhad, Iran. She holds a Ph.D. in Industrial Engineering from Isfahan University of Technology, where she specialized in simulation optimization for multi-objective problems in supply chain management.

Profile:

🎓 Education:

  • Ph.D. in Industrial Engineering – Isfahan University of Technology (2015) 🏅
    Thesis: Simulation Optimization for Multi-Objective Problems in Supply Chain Management
  • M.Sc. in Industrial Engineering – K.N. Toosi University of Technology (2010) 🏆
  • B.Sc. in Industrial Engineering – Sadjad University of Technology (2007) 🎖️

💼 Professional Experience:

  • Assistant Professor, Khayyam University (2013–Present)
  • Former Head & Deputy Head, Industrial & Mechanical Engineering Department, Khayyam University (2014–2023)
  • Visiting Fellow, University of New South Wales (UNSW), Australia (2023–2024) 🌍
  • Research Assistant, Strategic Planning Initiative in Construction Management, UNSW (2024)

🏆 Achievements & Recognition:

  • Top Researcher at Khayyam University (2021) 🥇
  • Ranked 1st in MSc & BSc programs in Industrial Engineering 🏅
  • Member of the Young Researchers Club (Brilliant Talents)
  • Exceptional Academic Performance: Ranked in top 0.2% (MSc) & 0.5% (BSc) in National Exams 🎯

Citations:

Citations: 708 (645 since 2020)
h-index: 16 (16 since 2020)
i10-index: 20 (19 since 2020)

Publication Top Notes:

  • A novel artificial intelligent approach: Comparison of machine learning tools and algorithms based on optimization DEA Malmquist productivity index for eco-efficiency evaluation
    M. Mirmozaffari, E. Shadkam, S.M. Khalili, K. Kabirifar, R. Yazdani, …
    International Journal of Energy Sector Management, 15(3), 523-550 (2021) – Citations: 70

  • Cuckoo optimization algorithm in reverse logistics: A network design for COVID-19 waste management
    E. Shadkam
    Waste Management & Research, 40(4), 458-469 (2022) – Citations: 65

  • An integrated strategic framework for large-scale crop planning: Sustainable climate-smart crop planning and agri-food supply chain management
    A. Hajimirzajan, M. Vahdat, A. Sadegheih, E. Shadkam, H. El Bilali
    Sustainable Production and Consumption, 26, 709-732 (2021) – Citations: 49

  • A novel hybrid parametric and non-parametric optimisation model for average technical efficiency assessment in public hospitals during and post-COVID-19 pandemic
    M. Mirmozaffari, R. Yazdani, E. Shadkam, S.M. Khalili, L.S. Tavassoli, …
    Bioengineering, 9(1), 7 (2021) – Citations: 47

  • Developing a novel integrated generalised data envelopment analysis (DEA) to evaluate hospitals providing stroke care services
    M. Mirmozaffari, E. Shadkam, S.M. Khalili, M. Yazdani
    Bioengineering, 8(12), 207 (2021) – Citations: 42

  • Evaluation the efficiency of cuckoo optimization algorithm
    E. Shadkam, M. Bijari
    arXiv preprint arXiv:1405.2168 (2014) – Citations: 41

  • Multi-objective simulation optimization for selection and determination of order quantity in supplier selection problem under uncertainty and quality criteria
    E. Shadkam, M. Bijari
    The International Journal of Advanced Manufacturing Technology (2015) – Citations: 39

  • A hybrid COA-constraint method for solving multi-objective problems
    E. Shadkam, N. Jahani
    arXiv preprint arXiv:1509.08302 (2015) – Citations: 34

  • VCS and CVS: New combined parametric and non-parametric operation research models
    M. Mirmozaffari, R. Yazdani, E. Shadkam, L.S. Tavassoli, R. Massah
    Sustainable Operations and Computers, 2, 36-56 (2021) – Citations: 32

  • An integrated artificial intelligence model for efficiency assessment in pharmaceutical companies during the COVID-19 pandemic
    M. Mirmozaffari, R. Yazdani, E. Shadkam, S.M. Khalili, M. Mahjoob, …
    Sustainable Operations and Computers, 3, 156-167 (2022) – Citations: 29

 

Mesmin Tchindjang | Agricultural | Excellence in Research

Prof. Dr Mesmin Tchindjang |  Agricultural |  Excellence in Research

Expert in adaptation at  University of Yaoundé 1,  Cameroon

Prof. Mesmin Tchindjang is a distinguished geomorphologist and environmental researcher with expertise in tropical geomorphology, natural hazards, climate change, and land use transformation. He earned his Ph.D. in 1996 and completed his ‘Habilitation’ in Geography in 2012 at the University of Paris 7. Prof. Tchindjang has contributed significantly to agroforestry projects revitalizing soils in southern Cameroon and sustainable oil palm cultivation. He collaborates with leading organizations, including CIFOR-ICRAF, UNDP, and the World Bank, to address climate adaptation and environmental resilience. Additionally, he is the founding member of the Cameroonian Geomorphologist Association and an active coordinator in global environmental monitoring initiatives.

 

Publication Profile

 

Academic Background:

Prof. Mesmin Tchindjang earned his Ph.D. in Geomorphology, Surface Dynamics, and Natural Hazards in 1996. He later defended his ‘Habilitation’ in Geography in 2012 at the University of Paris 7. He also holds an MSc in Remote Sensing for Environmental Impact Studies.

Research Focus:

His work encompasses tropical geomorphology, natural hazards, climate change, land use transformation, agricultural sustainability, remote sensing, and GIS. He has significantly contributed to agroforestry for soil revitalization in southern Cameroon and sustainable oil palm cultivation.

Key Projects & Collaborations:

  • OPAL Project: Researching oil palm environmental impacts.
  • Agricultural zoning and landscape ecology in Cameroon.
    Collaborates with organizations like CIFOR-ICRAF, WWF, UNDP, and the World Bank on climate adaptation and environmental resilience.

Professional Memberships:

Founding member of the Cameroonian Geomorphologist Association and Coordinator of Global Mapping and Environmental Monitoring.

Publication Top Note:

  • “Agricultural Innovations and Adaptations to Climate Change in the Northern Cameroon Region”
    Journal: Sustainability
    Date: 2024-11-19
    DOI: 10.3390/su162210096
    Contributors: Gaitan Thierry Seutchueng Tchuenga, Mesmin Tchindjang, Precillia Ijang Tata Ngome, Ann Degrande, Simon Djakba Basga, Frédéric Saha
  • “The Dilemma of the Development of Oil Palm Plantations Against Forest Conservation in Cameroon”
    Book Chapter
    Date: 2024-10-30
    DOI: 10.37572/EdArt_30102427710
    Contributors: Mesmin Tchindjang, Guy Donald Abasombe, Rose Ngo Makak, Philippes Mbevo Fendoung
  • “Mapping of the Dilemma of Mining Against Forest and Conservation in the Lom and Djérem Division, Cameroon”
    Book Chapter
    Date: 2024-07-31
    DOI: 10.37572/EdArt_31072418511
    Contributors: Mesmin Tchindjang, Eric Voundi, Philippes Mbevo Fendoung, Unusa Haman, Frédéric Saha, Igor Casimir Njombissie Petcheu
  • “Weakening of Coastlines and Coastal Erosion in the Gulf of Guinea: The Case of the Kribi Coast in Cameroon”
    Journal: Land
    Date: 2022-09
    DOI: 10.3390/land11091557
    Contributors: Philippes Mbevo Fendoung, Mesmin Tchindjang, Aurélia Hubert-Ferrari
  • “Lake Nyos, a Multirisk and Vulnerability Appraisal”
    Journal: Geosciences
    Date: 2018-08
    DOI: 10.3390/geosciences8090312
    Contributor: Mesmin Tchindjang

 

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