Enes Kavrut | Engineering | Research Excellence Award

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Mr. Enes Kavrut | Engineering | Research Excellence Award

Iğdır University | Turkey

Dr. Enes Kavrut is an Assistant Professor at Iğdır University, specializing in food engineering, gastronomy, and innovative food technologies. He holds a PhD in Bioengineering and a doctorate in Veterinary Public Health and Food Safety, reflecting a strong interdisciplinary foundation. His research focuses on edible film packaging, food safety, antimicrobial applications, and sustainable bio-packaging solutions. Dr. Kavrut has authored over 10 international peer-reviewed journal articles, including publications in high-impact journals such as Food Chemistry and LWT, along with multiple book chapters and conference papers. He actively collaborates with international researchers on topics like hydrogen-enriched food systems and agri-food innovations. His work contributes significantly to improving food quality, safety, and shelf-life, supporting sustainable food systems and public health advancement.

Citation Metrics (Scopus)

40
30
20
10

Citations 30

h-index 3

Documents 7

Citations

h-index

Documents

Featured Publications

Y Çelebi, E Kavrut, M Bulut, Y Çetintaş, A Tekin, AA Hayaloğlu (2024).
Incorporation of hydrogen-producing magnesium into minced beef meat protects the quality attributes and safety of the product during cold storage. Food Chemistry | Journal Article · 2024 · 📊 Citations: 17

D Alwazeer, M Bulut, MM Ceylan, Y Çelebi, E Kavrut, Y Çetintaş, A Tekin (2024).
Hydrogen incorporation into butter improves its microbial and chemical stability, biogenic amine safety, quality attributes, and shelf-life
LWT – Food Science and Technology | Journal Article · 2024 · 📊 Citations: 9

T Engin, A Çiğdem, E Kavrut, B Tan, D Alwazeer, K Bekbayev (2025).
Use of hydrogen-rich solvent and principal component analysis improves the recovery of phytochemicals from grape wastes
Journal of Agriculture and Food Research | Journal Article · 2025 · 📊 Citations: 5

E Kavrut (2023).
Iğdır Halk Mutfak Kültüründe Yer Alan Lezzetlerin Değerlendirilmesi
Gastro-World | Journal Article · 2023 · 📊 Citations: 5

E Kavrut (2021).
Kıyma ve Kıyma Benzeri Ürünlerde ‘Hamburger Hastalığı’ olarak E. coli O157:H7’nin varlığı
Bayburt Üniversitesi Fen Bilimleri Dergisi | Journal Article · 2021 · 📊 Citations: 5

Qiusong Liang | Engineering | Best Researcher Award

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Ms. Qiusong Liang | Engineering | Best Researcher Award

Northeast Forestry University | China

Ms. Qiusong Liang is a promising mechanical engineering researcher whose work focuses on advanced simulation, optimization, and design of electro-hydraulic and electromechanical systems. Her research emphasizes multi-objective optimization, structural dynamics, and fluid–structure interaction analysis to enhance the performance and reliability of servo and direct-drive valve mechanisms. She skillfully integrates computational tools such as ANSYS, SolidWorks, Maxwell, and AMESim for high-precision modeling and simulation, contributing significantly to innovations in flow control mechanisms, torque motor optimization, and cavitation noise reduction in hydraulic systems. Her recent studies explore the dynamic characteristics of torque motors and the coupling effects between electromagnetic and fluid systems, leading to improved high-response servo valve technologies for industrial and military applications. Ms. Liang’s research excellence and innovative approach have been recognized through publications in internationally indexed journals and notable contributions to engineering design projects. She maintains an active research profile with Scopus- and Google Scholar–indexed publications, accumulating documented citations and a growing h-index that reflect her rising academic influence in the field of mechanical system optimization and applied simulation engineering. Her commitment to applied research, precision design, and interdisciplinary collaboration has earned her recognition as a recipient of the Best Researcher Award, highlighting her as one of the emerging leaders in smart mechanical systems and sustainable automation technologies.

Publication Profile

Orcid

Featured Publications

  • Zhang, J., Liang, Q., Sun, J., Yan, B., Hu, Z., & Sun, W. (2025, October 29). Multi-objective optimization of torque motor structural parameters in direct-drive valves based on genetic algorithm. Actuators, 14(11), 527.

Mehran Pourgholi | Engineering | Best Researcher Award

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Assist. Prof. Dr. Mehran Pourgholi | Engineering | Best Researcher Award

Islamic Azad University | Iran

Assist. Prof. Dr. Mehran Pourgholi, an accomplished researcher in Civil and Structural Engineering, has made notable contributions to the fields of system identification, structural health monitoring, inverse problems, and stochastic subspace methods. His research focuses on enhancing the reliability of modal analysis and vibration-based damage detection in large-scale structures such as dams and steel buildings. Dr. Pourgholi integrates advanced computational approaches including entropy-based model selection, optimization algorithms, and error analysis frameworks to improve accuracy in structural system modeling. His collaborative work with experts from the University of Tabriz and Islamic Azad University has produced high-impact studies published in leading international journals such as the Journal of Vibration and Control, Mechanical Systems and Signal Processing, and Engineering Reports. According to Google Scholar, Dr. Pourgholi has 77 citations (68 since 2020), an h-index of 4, and an i10-index of 2, while Scopus records 51 citations across 46 documents with an h-index of 3. His influential publications on stochastic subspace identification and modal analysis have advanced understanding of dynamic behavior in civil structures. Recognized for his scholarly excellence, he has been honored with the Best Researcher Award for his significant impact in the field of structural system identification and vibration analysis.

Publication Profile

Scopus | Orcid | Google Scholar 

Featured Publications

Tarinejad, R., & Pourgholi, M. (2018). Modal identification of arch dams using balanced stochastic subspace identification. Journal of Vibration and Control, 24(10), 2030–2044.

Pourgholi, M., Mohammadzadeh Gilarlue, M. M., Vahdaini, T., & Azarbonyad, M. (2023). Influence of Hankel matrix dimension on system identification of structures using stochastic subspace algorithms. Mechanical Systems and Signal Processing, 186, 109893.

Pourgholi, M., Tarinejad, R., Khabir, M. E., & Mohammadzadeh Gilarlue, M. M. (2023). System identification of Karun IV Dam using balanced stochastic subspace algorithm considering the uncertainty of results. Journal of Vibration and Control, 29(23–24), 5342–5356.

Tarinejad, R., Pourgholi, M., & Yaghmaei-Sabegh, S. (2016). Signal processing of dynamic tests results using subspace identification based on orthogonal decomposition technique (SI-ORT). Modares Mechanical Engineering, 15(10), 104–116.

Pourgholi, M., Ghannadi, M., & Gavgani, S. S. (2024). Modal analysis of earthquake records for dams using stochastic subspace based on error analysis. Engineering Reports, 6(8), e12822

 

Mahasakti Mahamaya | Civil Engineering | Best Researcher Award

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