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

 

Girma Ganebo | farmers | Best Researcher Award

Assist. Prof. Dr Girma Ganebo | farmers |  Best Researcher Award

Assistant professor at  Wolaita Sodo University ,  Ethiopia

Dr. Girma Gata Ganebo is an Ethiopian scholar and development expert specializing in Agricultural Economics and Development Economics. He was born in Wolaita/Shanto and is currently based in Boditi, Ethiopia.

Profile:

🔹 Academic Background 🎓

  • Ph.D. in Agricultural Economics – Wolaita Sodo University (2013-2017)
  • MA in Development Economics – Arba Minch University (2007-2008)
  • BA in Economics – Arba Minch University (1997-2000)
  • Diploma in Geography – Awasa College of Teachers Education (1995-1997)

🔹 Professional Experience 💼

Dr. Girma has held various leadership and research roles in economic development, finance, and urban infrastructure projects, including:

  • Senior Secondary School Teacher (1998)
  • Head of Economic Development, Population & Statistics Division – Damot Pulasa District (1999-2001)
  • Executive Manager – Shanto Town Municipality (2002)
  • Head of Finance & Economic Development Office – Damot Pulasa District (2004-2006)
  • Senior M&E Officer – Wolaita Zone Urban & Construction Development Department (2009-2017)

🔹 Skills & Research Contributions 📊

  • Expertise in economic development, project evaluation, and impact assessment
  • Proficient in data analysis tools (SPSS, STATA, R, E-Views)
  • Conducted studies on climate change risk mitigation and economic sustainability
  • Consultancy services in business and investment

🔹 Languages & Training 🌍

  • Fluent in English, Amharic, and Wolaitagna
  • Certified in strategic communication, finance, leadership, and strategic planning

Publication:

  • Can asset accumulation weigh the welfare status of mung bean farmers in lowland areas of South Ethiopia?