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

 

Américo Ferraz Dias Neto | Agricultura Digital | Best Researcher Award

Dr Américo Ferraz Dias Neto |  Agricultura Digital |  Best Researcher Award

Consultor at  Universidade Estadual de Campinas, Brazil

Américo is an Agricultural Engineer with over 20 years of experience in the bioenergy sector, particularly in agroindustrial processes, supply chain optimization, and business strategy. Recognized for his expertise in controlled traffic and digital agriculture, he has successfully led large-scale projects, improving productivity and sustainability. His innovative contributions to bioenergy have earned him notable awards, including the Outstanding Alumnus Award from UNICAMP and the Norman Joseph King Award.

 

Publication Profile

🎓 Education:

  • Ph.D. in Agricultural Engineering, FEAGRI-UNICAMP (2021)
  • M.Sc. in Agricultural Engineering, FEAGRI-UNICAMP (2000)
  • B.Sc. in Agricultural Engineering, FEAGRI-UNICAMP (1997)

🏢 Professional Experience:

  • Américo Ferraz Consult (2017–Present): Bioenergy consulting with clients like Novo Milênio Distillery and Grupo Moreno, focusing on sustainable agricultural production and digital agriculture.
  • UMOE Bioenergy (2017–2020): COO managing a 42,000-hectare unit for ethanol and energy production.
  • Atvos (2007–2016): Agricultural Director, pioneered technologies in remote sensing, precision agriculture, and crop logistics for sugarcane.

🏆 Awards:

  • Norman Joseph King Award, ISSCT Congress, Hyderabad, India (2023)
  • Outstanding Alumnus Award, UNICAMP (2023)

Publication Top Notes

  1. “Advancements of agriculture 4.0 in mechanized sugarcane harvesting: a review”
    Journal: Ciência Rural
    Year: 2024
    DOI: 10.1590/0103-8478cr20220562
    Contributors: Américo Ferraz Neto, Jenyffer da Silva Gomes Santos, Raffaella Rossetto, João Domingos Biagi, Daniel Albiero
  2. “Use of Vegetation Activity Index for Evaluation of L-Alpha Amino Acid Treatment in Sugarcane”
    Journal: Agriculture
    Year: 2024
    DOI: 10.3390/agriculture14111877
    Contributors: Américo Ferraz Dias Neto, Ivan Bazo Bergamim, Flavio Roberto de Freitas Gonçalves, Raffaella Rossetto, Daniel Albiero
  3. “Use of Vegetation Activity Index for Evaluation of L-Alpha Amino Acid Treatment in Sugarcane”
    Type: Preprint
    Year: 2024
    DOI: 10.20944/preprints202409.1603.v1
    Contributors: Américo Ferraz Dias Neto, Ivan Bazo Bergamim, Flavio Roberto de Freitas Gonçalves, Raffaella Rossetto, Daniel Albiero
  4. “Strip Soil Tillage and Traffic Over the Soil on Sugar Cane Compared to Conventional Tillage Systems”
    Journal: Sugar Tech
    Year: 2023
    DOI: 10.1007/s12355-023-01267-y
    Contributors: Américo Ferraz Dias Neto, Daniel Albiero, Raffaella Rossetto, João D. Biagi, Jenyffer Gomes da Silva
  5. “Modeling of Mechanized Sugarcane Harvesting to Support Decision-Making on Asset Management”
    Journal: Sugar Tech
    Year: 2022
    DOI: 10.1007/s12355-022-01126-2
    Contributors: Américo Ferraz Dias Neto, Daniel Albiero, Raffaella Rossetto, João D. Biagi