Researcher, Ferdowsi University of Mashhad, Amman, Afghanistan.
Ms. Afsaneh Soleimani is a highly accomplished researcher in Biosystems Engineering with a strong academic background and a focus on agricultural machine design and optimization. Her work integrates mechanical engineering, machine learning, and agricultural mechanization, making significant contributions to the field. Her research outputs, including numerous high-impact journal publications, demonstrate her dedication to scientific advancements in her domain.
Publication Profile
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Education :
Afsaneh Soleimani holds a Master of Science (M.S.) in Biosystems Engineering with a specialization in Design and Manufacturing from Ferdowsi University of Mashhad, Iran. She completed her M.S. with an outstanding GPA of 19.18 out of 20 between March 2020 and February 2023. Her master’s thesis, titled “Designing and Modeling Power Transmission Mechanism for Existing Walking Tractors to Facilitate Their Guiding and Turning,” was graded 20 out of 20 (A) under the supervision of Full Professor Mohammad Hossein Abbaspour-Fard, Professor Abbas Rohani, and advisor Full Professor Mohammad Hossein Aghkhani. Prior to this, she earned her Bachelor of Science (B.S.) in Biosystems Engineering (Design and Manufacturing) from the same institution, graduating with a GPA of 17.70 out of 20 between September 2015 and September 2019.
Experience :
Afsaneh has held various academic and research positions. She served as a Researcher and Reviewer at the 14th National Congress of Mechanical Engineering of Biosystems and Mechanization of Iran, held at Kermanshah University in 2022. She was also the Office Manager at the Department of Biosystems Engineering, Ferdowsi University of Mashhad, from September 2022 to October 2023. Additionally, she has been involved in multiple research projects, including investigating the problems of walking tractors in saffron fields as a case study in Mashhad (2021–2022). Earlier in her career, she worked as a Math Teacher at a boys’ primary school in Mashhad (2019–2021) and completed an internship at Iran Khodro Khorasan (2018–2019).
Research Focus :
Afsaneh Soleimani’s research is centered on the design and optimization of agricultural machinery, particularly walking tractors and robotics used in farming applications. Her work incorporates advanced techniques such as Artificial Neural Networks, Genetic Algorithms, Finite Element Analysis, and Soft Computing Approaches. She specializes in the structural optimization of agricultural robots, frictional mechanism design, and machine learning applications in mechanical engineering. Her research has led to the development of innovative control systems, including a combined fuzzy/PID controller for tractor stability on side slopes. Additionally, she has contributed significantly to the field of power transmission mechanism design and topology optimization of rough-terrain agricultural robots.
Awards:
Afsaneh has been recognized for her academic excellence with several prestigious awards. She ranked 19th nationwide in the Iranian University Entrance Examination for M.Sc. Biosystems Engineering among 2,000 participants in 2020. She was awarded a full scholarship for both her M.Sc. and B.Sc. programs by the Ministry of Science, Research, and Technology, Iran, in recognition of her academic performance. Additionally, she has secured a patent for her innovative cone clutch design on the rotary axle of two-wheel tractors to facilitate steering and turning (Iran, 2024).
Skills:
Afsaneh possesses a strong command of engineering design and simulation tools, including CATIA and SolidWorks for mechanical design and modeling. She is proficient in programming languages such as MATLAB and Python and has experience with simulation software like ANSYS Workbench. Her expertise extends to data analysis using Origin, Minitab, and MS Office tools. She is also skilled in scientific writing and research management methodologies.
Publication :
- The Soft Computing Approaches in Optimising Multi-Objective Mechanical Design of a Weeding Robot”
- Author: Afsaneh Soleimani
- Journal: Smart Agricultural Technology
- Year: 2024
- Article ID: 100674
- DOI: 10.1016/j.atech.2024.100674
- “Designing and Modeling the Power Transmission Mechanism for Existing Walking Tractors to Facilitate Their Guidance and Turning”
- Authors: Afsaneh Soleimani, Mohammad Hossein Abbaspour-Fard, Abbas Rohani, Mohammad Hossein Aghkhani
- Journal: International Journal on Interactive Design and Manufacturing
- Year: 2024
- Pages: 2429–2448
- DOI: 10.1007/s12008-023-01516-0
- “Optimising the Steering Clutch of a Walking Tractor Using Soft Computing Approaches”
- Authors: Afsaneh Soleimani, Baradaran Motie J.
- Journal: Australian Journal of Mechanical Engineering
- Year: 2024
- DOI: 10.1080/14484846.2024.1234567
Conclusion:
Ms. Afsaneh Soleimani is an exceptional candidate for the Best Researcher Award. Her impressive academic achievements, high research output, and innovative contributions to agricultural engineering and machine learning applications make her a strong contender. By addressing areas such as international collaboration, research funding, and industry engagement, she can further enhance her profile as a leading researcher. Given her credentials and demonstrated research excellence, she is highly deserving of this recognition