Introducing a Top 1% Global Scientist from Lorestan University

Dr. Ahmad Jahanbakhshi, a faculty member of the Biosystems Engineering Department, Faculty of Agriculture, Lorestan University, is among the top one percent of scientists globally in 2025.

Furthermore, Dr. Jahanbakhshi is listed among the top two percent of scientists globally in 2022, 2023, 2024, and 2025.

Achieving these successes is considered a transnational scientific honor for Lorestan University.

According to the Public Relations Department of Lorestan University, based on a program prepared by the Vice-Chancellor for Research and Technology, with the aim of introducing the top scientific figures of Lorestan University, we present the most important scientific, research, and investigative achievements of Dr. Jahanbakhshi:

_ Achievements:

1_ Listed among the top 1% of scientists globally in 2025

2_ Listed among the top 2% of scientists globally in 2022, 2023, 2024, and 2025

3_ Selected at the 3rd Shahid Chamran Scientific Festival, university professors in Lorestan province in 1404

4_ Selected for the Grant for Attraction in Scientific Institutions (Tarh-e Jahat) from the National Elites Foundation.

5_ Selected for the Outstanding Student Scholarship (Shahid Vazoaei Plan) from the National Elites Foundation at the doctoral level.

6_ Top Researcher of the Professor Hesabi Festival in 99

7_ Admission to the doctoral program through exceptional talent.

8_ Awarded first place as the top researcher among students of Ardabil universities at the provincial level in 1401

9_ Awarded first place as the top researcher among Master's students, Faculty of Agriculture, Ilam University in 95

_ Research Projects:

1_ Evaluation of quality and detection of adulteration in mint powder and extract using an electronic nose system and machine learning.

2_ Prediction of kinetics, energy, exergy, and greenhouse gases of fruit drying in a hot air dryer using artificial neural networks and ANFIS.

3_ Comparison of qualitative and thermal properties of walnuts in two ultrasonic-microwave and ultrasonic-hot air dryers using artificial neural networks and ANFIS.

4_ Evaluation of the permissible exposure time for users and those around them to the noise pollution of a Goldoni H. 938 model tractor

5_ Simulation and mechanical analysis of the plow beam using the finite element method (FEM)

6_ Simulation and mechanical stress analysis of the lower arm of two common tractor types in Iran, Massey Ferguson 285 and 399, using the finite element method (FEM).

7_ Feasibility study of carrot quality grading using image processing.

_ Member of the specialized jury committee in reputable domestic and foreign journals:

1_ Journal of Agricultural Machinery (Ferdowsi University of Mashhad).

2_ Iranian Journal of Biosystems Engineering (University of Tehran).

3_ Iranian Journal of Food Science and Technology (Tarbiat Modares University).

4_ International Journal of New Technologies in the Food Industry (Iranian Research Organization for Science and Technology).

5_ Journal of Agricultural Machinery Mechanics Research (Shahrekord University)

6- Information Processing in Agriculture (Elsevier, JCR-Q1, IF= 7.4)

7- Postharvest Biology and Technology (Elsevier, JCR-Q1, IF= 6.8)

_ Supervisor of Master's and Doctoral Students:

1_ Doctoral dissertation: Investigating the effect of adding nanographene to distrol fuel mixtures (diesel, biodiesel, and ethanol) on the performance and emission of exhaust gases from a diesel engine.

2_ Doctoral dissertation: Evaluation of the performance and emissions from a single-cylinder engine using the addition of some nanoparticles to magnetized diesel-biodiesel fuel.

3_ Doctoral dissertation: Investigating the classification of strawberries based on ripeness using image processing, artificial neural networks, and support vector machines.

4_ Doctoral dissertation: Life cycle assessment, determination of environmental pollutants, and simulation of energy flow in the egg industry.

5_ Master's thesis: Investigation of energy consumption indicators and environmental effects in potato production using modern irrigation methods: A case study in Iraq.

_ Co-Supervisor of Master's Students:

1_ Non-destructive and intelligent detection of different types of bio-diesel using hyperspectral imaging and machine learning.

2_ Using electronic nose and machine learning as non-destructive tools for monitoring the authenticity and detecting adulteration in biofuels (case study: bioethanol).