Ali Ozturk | Elasticity | Best Researcher Award

Prof. Dr. Ali Ozturk | Elasticity | Best Researcher Award

Engineering Faculty at Duzce University | Turkey

Professor. Dr. Ali Öztürk is a distinguished academic and researcher in the field of Electrical and Electronics Engineering, renowned for his pioneering work on power system stability, optimization, and renewable energy integration. As a faculty member at Düzce University’s Faculty of Engineering, he has made substantial contributions to both academia and applied research through his expertise in intelligent control systems, genetic and heuristic algorithms, and power system analysis. His academic background, rooted in Electrical and Electronics Engineering from Sakarya University and Yıldız University, has provided a strong foundation for his innovative work on topics such as voltage stability, harmonic effects in power systems, and optimization of FACTS device placement. Professor Öztürk has supervised numerous master’s and doctoral theses focusing on advanced energy technologies, including solar and wind power systems, frequency control in multi-area power systems, and data-driven approaches to energy forecasting using deep learning. His research has been widely recognized in national and international projects, encompassing areas like photovoltaic system design, hybrid energy solutions, and the application of artificial intelligence in smart grid management. In addition to his extensive publication record in peer-reviewed journals, he has held several key administrative and academic leadership roles, including serving as Department Chair and Institute Director at Düzce University. Professor Öztürk’s ongoing work continues to bridge theoretical modeling and practical innovation, advancing sustainable energy systems and intelligent electrical network design through a combination of analytical rigor and technological creativity.

Profile: Scopus | Orcid 

Featured Publications:

A Novel Puma Optimizer Based TID Controller for Load Frequency Control.

Effects of Wind Turbine Height Variation on Hybrid Power System Feasibility.

Quantum Genetic Algorithm for Dynamic Economic Dispatch of Active Distribution Network with Microgrid Including Renewable Energy Source.

(2024). A Novel Sea Horse Optimizer Based Load Frequency Controller for Two-Area Power System with PV and Thermal Units. International Journal of Robotics and Control Systems.

(2023). A novel honey badger algorithm based load frequency controller design of a two-area system with renewable energy sources. Energy Reports.

Ali Raza Ayub | Elasticity | Best Researcher Award

Mr. Ali Raza Ayub | Elasticity | Best Researcher Award

Student at Beijing Institute of Technology| Pakistan

Ali Raza Ayub is a dedicated Pakistani researcher and academic affiliated with the Department of Chemistry, University of Agriculture Faisalabad, Pakistan, with an active association in the Computational and Physical Chemistry Laboratories of the Punjab Bio Energy Institute. His research expertise lies primarily in organic and computational chemistry, emphasizing density functional theory (DFT), nonlinear optical (NLO) materials, organic solar cell materials, nanocomposites, and drug delivery systems. He has made remarkable contributions to the theoretical modeling, synthesis, and characterization of advanced materials, focusing on improving photocatalytic activity, optical properties, and molecular interactions. His studies cover a broad range of scientific topics, including nanochemistry, material science, quantum mechanical simulations, molecular spectroscopy, and bioactive nanomaterials. Through his extensive research, he has co-authored numerous internationally recognized publications in reputed scientific journals, demonstrating significant expertise in synthesizing metal-doped nanostructures, analyzing catalytic efficiencies, and investigating the optoelectronic behavior of advanced hybrid compounds. His computational work delves deeply into understanding molecular reactivity, charge transfer mechanisms, electronic structure modification, and energy efficiency optimization for next-generation materials. Ali Raza Ayub’s research also explores drug–nanocarrier interactions through DFT-based insights, providing theoretical foundations for targeted drug delivery applications in biomedical chemistry. His proficiency extends to laboratory instrumentation and advanced modeling software, such as Gaussian, GaussView, ChemDraw, Origin, and Multiwfn, enabling both experimental and theoretical studies of complex molecular systems. Beyond his research achievements, he has participated in international symposia, workshops, and scientific exhibitions, showcasing his commitment to academic excellence and innovation. Known for his creativity, analytical thinking, and persistence, Ali Raza Ayub continues to contribute to the evolving landscape of modern chemistry, merging computational precision with experimental discovery to advance materials science and chemical research.

Profile: Scopus 

Featured Publications:

Author(s). (2025). An in-silico study of supramolecular interactions between 2,6-diisopropylphenyl derivatives of PDI and their GMP-doped composites to tune their optoelectronic response. Inorganic Chemistry Communications.

Author(s). (2025). Investigating the optoelectronic properties of Perylene Diimide-based organic molecules for high-efficiency organic solar cells. Computational and Theoretical Chemistry.

Author(s). (2025). Terpyridine–metal architectures (Zn, Cu, Fe) for energy storage: Electrochemical analysis and theoretical modeling. Journal of Electroanalytical Chemistry.

Author(s). (2025). Design of the opto-electronic characteristics of organo-solar cells using the small molecules based on Ullazine. Journal of Molecular Graphics and Modelling.

Author(s). (2025). Quantum simulation and experimental characterization of gold nanorods for DNA sensing applications. Chemical Engineering Science.

Author(s). (2025). Green synthesis of high surface area of reduced graphene oxide via Aloe vera extract: Characterization, DFT mechanistic insights, and enhanced Rhodamine B adsorption using Chitosan@EDTA@rGO composite.