Mr. Oussama El Gharras | Sustainable Engineering | Innovative Research Award

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Mr. Oussama El Gharras | Sustainable Engineering | Innovative Research Award

Mr. Oussama El Gharras | National Institute for Agricultural Research | Morocco

Mr. Oussama El Gharras is a distinguished agricultural engineering specialist with extensive expertise in mechanization, conservation agriculture, and the development of farm machinery, supported by a research record featuring 57 citations by 55 documents, 8 published documents, and an h-index of 4. Born on 22 November 1962 in Marrakech, he earned his Ingénieur d’application degree from IAV Hassan II, followed by a Master of Science in Agricultural Engineering from Oklahoma State University and PHD coursework at the University of Nebraska–Lincoln, later strengthening his managerial background through the Cycle Supérieur de Gestion at ENCG Settat. His career at INRA encompasses major contributions to small farm mechanization, animal traction, food legume production mechanisation, and the design and industrial development of No-Till seed drills and feed block units. He managed the INRA agricultural engineering laboratory and coordinated several national and international initiatives, including the INRA-IAV-DERD No-Till project, AAAID-CRRA Settat program, AusAID-ACIAR-INRA collaboration, and ConServeTerra. As Vice President of AGENDA and an active member of AMAC and the National Commission of Agricultural Mechanization, he continues to play a pivotal role in advancing sustainable agriculture in North Africa. His scientific publications address conservation agriculture, weed dynamics, and resilient farming systems in semi-arid regions.

Profile: Scopus

Featured Publications

El Gharras, O. (2024). Perceptions and sociocultural factors underlying adoption of conservation agriculture in the Mediterranean. Agriculture and Human Values.

El Gharras, O., El Mourid, M., & Boulal, H. (2016). Conservation agriculture in North Africa: Experiences, achievements and challenges. In A. Kassam et al. (Eds.), Conservation agriculture for Africa: Building resilient farming systems in changing climate. CAB International.

Tanji, A., El Gharras, O., Mayfield, A., & El Mourid, M. (2017). On-farm evaluation of integrated weed management in no-till rainfed crops in semi-arid Morocco. African Journal of Agricultural Research, 12(16), 1404–1410.

Tanji, A., El Gharras, O., Ouabbou, H., & Mladen, T. (2017). Weed dynamics in no-till rainfed crops in Chaouia, semi-arid Morocco. Journal of Agricultural Science, 9(11).

El Gharras, O., El Brahli, A., & El Mourid, M. (2009). No-till system applied to Northern Africa rainfed agriculture: Case of Morocco. In Proceedings of the 4th World Congress on Conservation Agriculture (pp. xx–xx). New Delhi, India.

El Gharras, O., & Idrissi, M. (2006). Contraintes technologiques au développement du semis direct au Maroc. Options Méditerranéennes, Série A: Séminaires Méditerranéens, 69, 121–124.

El Gharras, O., Ait Lhaj, A., & Idrissi, M. (2004). Développement d’un semoir non labour industriel. In Deuxièmes Rencontres Méditerranéennes sur le Semis Direct (pp. 74–81). FERT/RCM; AGER.

 

Dr. Kun-Ying Li | Sustainable Engineering | Best Researcher Award

Published on by Superior Awards

Dr. Kun-Ying Li | Sustainable Engineering | Best Researcher Award

Dr. Kun-Ying Li | National Chin-Yi University of Technology | Taiwan

Dr. Kun-Ying Li is an accomplished researcher in sustainable engineering and intelligent manufacturing, focusing on low-carbon technologies and energy-efficient machine tools. His research encompasses ISO14064-1:2018 greenhouse gas inventory, industrial energy-saving methods, intelligent thermal error analysis, cooling optimization, multi-objective optimization, and precision machinery design. His work emphasizes the integration of reliability engineering, applied mathematics, smart manufacturing systems, and computer-assisted engineering within the framework of Industry 4.0. He has contributed to several industry-academic collaboration projects aimed at optimizing cooling systems for multi-axis machine tools and implementing carbon inventory strategies in manufacturing transformation programs. These projects have involved partnerships with precision machinery and metal manufacturing companies, supported by national funding agencies. His expertise extends to developing innovative approaches for reducing energy consumption, enhancing process reliability, and improving the performance of advanced machine tools. Through a combination of technical insight and practical application, his research supports the transition toward intelligent, sustainable, and high-efficiency production systems that align with global goals for carbon reduction and green industry innovation. He has 220 citations by 151 documents, 29 published documents, and an h-index of 9, reflecting his consistent research contributions and growing academic influence in the fields of precision engineering and green manufacturing.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

  • Liu, Y. C., Li, K. Y., & Tsai, Y. C. (2021). Spindle thermal error prediction based on LSTM deep learning for a CNC machine tool. Applied Sciences, 11(12), 5444.

  • Li, K. Y., Luo, W. J., & Wei, S. J. (2020). Machining accuracy enhancement of a machine tool by a cooling channel design for a built-in spindle. Applied Sciences, 10(11), 3991.

  • Hsieh, M. C., Maurya, S. N., Luo, W. J., Li, K. Y., Hao, L., & Bhuyar, P. (2022). Coolant volume prediction for spindle cooler with adaptive neuro-fuzzy inference system control method. Sensors & Materials, 34, 28.

  • Li, K. Y., Luo, W. J., Hong, X. H., Wei, S. J., & Tsai, P. H. (2020). Enhancement of machining accuracy utilizing varied cooling oil volume for machine tool spindle. IEEE Access, 8, 28988–29003.

  • Li, K. Y., Maurya, S. N., Lee, Y. H., Luo, W. J., Chen, C. N., & Wellid, I. (2023). Thermal deformation and economic analysis of a multi-object cooling system for spindles with varied coolant volume control. The International Journal of Advanced Manufacturing Technology, 126(3), 1807–1821.

  • Maurya, S. N., Li, K. Y., Luo, W. J., & Kao, S. Y. (2022). Effect of coolant temperature on the thermal compensation of a machine tool. Machines, 10(12), 1201.

 

Mr. Mohammad Alibabaei Shahraki | Structural Engineering | Best Researcher Award

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Mr. Mohammad Alibabaei Shahraki | Structural Engineering | Best Researcher Award

Mr. Mohammad Alibabaei Shahraki | Technical and Vocational University | Iran

Mr. Mohammad Alibabaei Shahraki is a distinguished lecturer and researcher at the Technical and Vocational University in Tehran, Iran, specializing in civil engineering with a focus on earthquake engineering, structural dynamics, and structural design. Recognized for his exceptional academic achievements, he was the top student for 12 consecutive semesters and secured a single-digit rank in the national university entrance examination. His research excellence has been acknowledged with the title of Best Researcher in Chaharmahal and Bakhtiari Province, alongside the invention of two notable research innovations. Prof. Shahraki has made significant contributions to the field of structural control and seismic performance enhancement, including pioneering studies on multiple tuned mass dampers, elastoplastic-tuned mass damper-inerters, and the effectiveness of viscous dampers in steel frame structures, with his work published in prominent journals such as Soil Dynamics and Earthquake Engineering and Structures, and presented at international conferences on civil engineering, architecture, and urban planning. With a perfect GPA of 4.00 from Shahrekord University for his Master’s in Civil Engineering, he combines academic rigor with practical expertise, delivering high-quality teaching and research. His scholarly impact includes 60 citations across 44 documents, 4 published works, and an h-index of 2, reflecting his growing influence in earthquake-resistant structural design. Fluent in English, Prof. Shahraki actively engages with global research communities and maintains an ORCID profile to showcase his contributions.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Shahraki, M. A., Kamgar, R., & Heidarzadeh, H. (2023). Damage-based design of multiple tuned mass dampers to improve the seismic performance of steel frame structures. Soil Dynamics and Earthquake Engineering, 173, 108062.

Shahraki, M. A., Kamgar, R., & Heidarzadeh, H. (2023). Assessing the seismic behavior of structures controlled with a novel elastoplastic-tuned mass damper inerter considering the effects of soil-structure interactions. Structures, 57, 105265.

Shahraki, M. A., & Chaleshtori, H. S. A. (2025). Comparative analysis of novel non-linear tuned mass damper inerter and traditional tuned mass dampers in steel shear frame structures. International Journal of Structural Stability and Dynamics.

Shahraki, M. A. (2025). Response mitigations of adjacent structure with MPTMD under real and stochastic excitations. Discover Geoscience, 3(47), 1-20.

Alibabaei Shahraki, M. (2025). Cloud drift optimization algorithm as a nature-inspired metaheuristic. Discover Computing, 28(1), 1-28.