Dr. Aamir Ali | Smart Grid Systems | Best Researcher Award

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Dr. Aamir Ali | Smart Grid Systems | Best Researcher Award

Dr. Aamir Ali | Quaid-e-Awam University of Engineering Science and Technology | Pakistan

Dr. Aamir Ali is currently serving as an Assistant Professor (BPS-19) in the Department of Electrical Engineering at Quaid-e-Awam University of Engineering, Science and Technology (QUEST), Nawabshah, Sindh, Pakistan. He is a highly dedicated academic and researcher specializing in power system planning and optimization, distributed generation, and microgrid operations in both islanded and grid-connected modes. Dr. Ali earned his Ph.D. in Electrical Engineering from QUEST in 2020, where his doctoral research focused on single and multi-objective mathematical programming, direct search evolutionary algorithms, and optimization techniques for economic dispatch, optimal power flow, and unit commitment with renewable energy integration such as wind and solar PV systems. Prior to his doctorate, he completed his Master of Engineering in Power System Optimization from the same institution in 2015 and his Bachelor of Engineering in Electrical Power with an outstanding 85% score in 2012. His academic journey began with strong foundational performance at the intermediate and matriculation levels, both from the Board of Intermediate and Secondary Education, Hyderabad, Sindh, where he secured first division and A-1 grade distinctions. With 445 citations by 342 documents, 27 published works, and an h-index of 11, Dr. Aamir Ali has established himself as an active researcher in power systems optimization. He aspires to continue contributing to academia and research while leading a top-tier institution toward excellence in education and innovation.

Profile: Scopus | Orcid

Featured Publications

Akbar Talani, R., Kaloi, G. S., Ali, A., Abbas, G., Emara, A., & Touti, E. (2025, July 29). Fault analysis and performance improvement of grid-connected doubly fed induction generator through an enhanced crowbar protection scheme. PLOS One.

Ali, A., Akbar Talani, R., Kaloi, G. S., Bijarani, M. A., Abbas, G., Hatatah, M., Mercorelli, P., & Touti, E. (2025, January 29). Dynamic performance analysis and fault ride-through enhancement by a modified fault current protection scheme of a grid-connected doubly fed induction generator. Machines, 13(2).

Ali, A., Ali, A., Liu, Z., Abbas, G., Touti, E., & Nureldeen, W. (2024). Dynamic multi-objective optimization of grid-connected distributed resources along with battery energy storage management via improved bidirectional coevolutionary algorithm. IEEE Access.

Ali, A., Shah, A., Keerio, M. U., Mugheri, N. H., Abbas, G., Touti, E., Hatatah, M., Yousef, A., & Bouzguenda, M. (2024). Multi-objective security constrained unit commitment via hybrid evolutionary algorithms. IEEE Access.

Abbas, G., Wu, Z., & Ali, A. (2024, December). A two-stage reactive power optimization method for distribution networks based on a hybrid model and data-driven approach. IET Renewable Power Generation.

Ali, A., Aslam, S., Mirsaeidi, S., Mugheri, N. H., Memon, R. H., Abbas, G., & Alnuman, H. (2024, December). Multi-objective multiperiod stable environmental economic power dispatch considering probabilistic wind and solar PV generation. IET Renewable Power Generation.

Dr. Guangxing Guo | Renewable Energy | Best Academic Researcher Award

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Dr. Guangxing Guo | Renewable Energy | Best Academic Researcher Award

Dr. Guangxing Guo | Yangzhou University | China

Dr. Guangxing Guo is a dedicated researcher in the field of wind energy with strong academic training and impactful contributions. He is pursuing a Doctor of Engineering degree at Yangzhou University, focusing on the application of artificial intelligence in wind energy, and also gained international academic exposure as a guest student at Aalborg University, Denmark. He earned a Master of Engineering degree from the Institute of Engineering Thermophysics, Chinese Academy of Sciences, where his research centered on the structural performance of wind turbine blades, and a Bachelor of Engineering in New Energy Science and Engineering from Lanzhou University of Technology. His expertise covers aerodynamics, aeroelastic dynamics, structural dynamics, and computational fluid dynamics. To date, he has published 8 documents, including SCI-indexed works in Composite Structures, Sustainable Energy Technologies and Assessments, and Energies. His research has received 90 citations by 75 documents, with an h-index of 5, demonstrating growing academic recognition. He has also presented his work at international conferences, highlighting contributions to wind turbine blade design, wind farm noise reduction, and machine learning-based performance evaluation.

Profile: Scopus | Orcid

Featured Publications

Guo, G., Zhu, W., Sun, Z., Fu, S., Shen, W., & Hua, Y. (2025). Large wind turbine blade design with mould sharing concept based on deep neural networks. Sustainable Energy Technologies and Assessments, 73, 104131.

Guo, G., Zhu, W., Zhang, Z., Shen, W., & Chen, Z. (2025). Achieving power-noise balance in wind farms by fine-tuning the layout with reinforcement learning. Energies, 18(18), 5019.

Guo, G., Zhu, W., Sun, Z., Fu, S., Shen, W., & Cao, J. (2024). An aero-structure-acoustics evaluation framework of wind turbine blade cross-section based on gradient boosting regression tree. Composite Structures, 337, 118055.

Guo, G., Zhu, W., Sun, Z., Shen, W., Cao, J., & Fu, S. (2023). Drag reducer design of wind turbine blade under flap-wise fatigue testing. Composite Structures, 318, 117094.

Zhu, W., Liu, J., Sun, Z., Cao, J., Guo, G., & Shen, W. (2022). Numerical study on flow and noise characteristics of an NACA0018 airfoil with a porous trailing edge. Sustainability, 15(1), 275.

Li, S., Zhang, L., Xu, J., Yang, K., Song, J., & Guo, G. (2020). Experimental investigation of a pitch-oscillating wind turbine airfoil with vortex generators. Journal of Renewable and Sustainable Energy, 12(6), 063304.

Mr. Yohannes Shuka Jara | Renewable Energy | Best Researcher Award

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Mr. Yohannes Shuka Jara | Renewable Energy | Best Researcher Award

Mr. Yohannes Shuka Jara | Borana University | Ethiopia

Mr. Yohannes Shuka Jara is a dedicated lecturer and researcher in the Department of Chemistry at Borana University, Ethiopia, with a strong academic and professional trajectory in physical chemistry and sustainable nanotechnology. Currently pursuing a PhD at the University of Messina, Italy, he holds an MSc in Physical Chemistry from Hawassa University and a BSc in Chemistry from Dilla University. His professional experience includes serving as Lecturer of Physical Chemistry at Borana University, Chief-in Laboratory Chemist, and Senior Lab Technical Assistant at Madda Walabu University, where he contributed significantly to research and laboratory management. His research primarily focuses on the green synthesis of nanoparticles and metal oxide semiconductors for sustainable applications, including green energy conversion, electrochemical and bio-nano sensors, catalysis design, and environmental remediation. Notable projects include biosynthesized N-Zn co-doped CuO nanoparticles for photocatalytic dye degradation, polyaniline-coated nanocomposites for enhanced microbial fuel cell efficiency, and activated carbon from Vernonia amygdalina for water purification. With 50 citations across 49 documents and an h-index of 2, Mr. Jara actively engages with the scientific community through platforms such as ORCID, ResearchGate, Scopus, and LinkedIn, demonstrating a strong commitment to advancing sustainable chemistry and nanotechnology solutions.

Profile: Scopus | Orcid

Featured Publications

Jara, Y. S., Mohammed, E. T., & Mekiso, T. T. (2025). Biosynthesized pure CuO, N-CuO, Zn-CuO, and N-Zn-CuO nanoparticles for photocatalytic activity: Enhanced optical properties through bandgap engineering. Next Materials.

Shuka, Y. (2025). Investigation of energy efficiency in a zeolite-water adsorption solar cooling system utilizing locally sourced materials for the conservation chamber. Physical Science International Journal.

Eyoel, T., Shuka, Y., Tadesse, S., Tesfaye, T., Mengesha, M., & Mert, S. O. (2025). Green energy: Power generation improvement in microbial fuel cells using bio-synthesized polyaniline-coated Co3O4 nanocomposite. International Journal of Energy Research.

Tesfaye, T., Shuka, Y., Tadesse, S., Eyoel, T., & Mengesha, M. (2025). Improving the power production efficiency of microbial fuel cell by using biosynthesized polyaniline-coated Fe3O4 as pencil graphite anode modifier. Scientific Reports.

Jara, Y. S., Mekiso, T. T., & Washe, A. P. (2024). Highly efficient catalytic degradation of organic dyes using iron nanoparticles synthesized with Vernonia amygdalina leaf extract. Scientific Reports.

Mengesha, M., Shuka, Y., Eyoel, T., & Tesfaye, T. (2024). Novel biomaterial-derived activated carbon from Lippia adoensis (Var. Koseret) leaf for efficient organic pollutant dye removal from water solution. American Journal of Applied Chemistry, 12(2), 11.

Jara, Y. S., & Gari, A. N. (2023). The impact of land use types on soil physicochemical properties and agricultural productivity: A case of Gojera Kebele, Dinsho District, South Eastern Ethiopia. Research Square.