Zhi Zong | Engineering | Best Researcher Award

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Prof. Dr. Zhi Zong | Engineering | Best Researcher Award

Fuyao University of Science and Technology | China

Professor Zhi Zong is an internationally acclaimed researcher in naval architecture, ocean engineering, computational mechanics, and fluid–structure interaction, widely recognized for his influential contributions to marine hydrodynamics and advanced numerical simulation. With 334 publications, 5,653 citations, and an h-index of 38 (Scopus), his research covers underwater explosion (UNDEX) physics, nonlinear water waves, bubble dynamics, vortex-induced vibration (VIV), unsteady cavitation, water-entry dynamics, and high-fidelity computational fluid mechanics, employing cutting-edge techniques such as SPH, DEM, and data-driven modeling. He has authored over 460 scientific papers, including more than 230 SCI-indexed articles, and has been continuously listed among the Top 2% Scientists globally (2021–2025). His seven authoritative monographs published with Elsevier, Taylor & Francis/CRC, and Science Press span differential quadrature methods, solitary wave theory, computational underwater explosion mechanics, and bubble damage modeling. Professor Zong’s research has significantly advanced understanding of shock loading on marine structures, hydrodynamic impact, cavitating and multiphase flows, ice–structure interactions, ship motion reduction, and complex multi-physics simulations, with many of his highly cited publications regarded as landmark contributions to SPH modeling, multiphase flow analysis, UNDEX damage prediction, and VIV dynamics.

Profiles: Scopus| Google Scholar | ResearchGate

Featured Publications 

• Liu, M. B., Liu, G. R., Lam, K. Y., & Zong, Z. (2003). Smoothed particle hydrodynamics for numerical simulation of underwater explosion. Computational Mechanics, 30(2), 106–118.

• Liu, M. B., Liu, G. R., Zong, Z., & Lam, K. Y. (2003). Computer simulation of high explosive explosion using smoothed particle hydrodynamics methodology. Computers & Fluids, 32(3), 305–322.

• Zong, Z., & Zhang, Y. (2009). Advanced differential quadrature methods. Chapman and Hall/CRC.

• Chen, Z., Zong, Z., Liu, M. B., Zou, L., Li, H. T., & Shu, C. (2015). An SPH model for multiphase flows with complex interfaces and large density differences. Journal of Computational Physics, 283, 169–188.

• Zhang, Y. Y., Wang, C. M., Duan, W. H., Xiang, Y., & Zong, Z. (2009). Assessment of continuum mechanics models in predicting buckling strains of single-walled carbon nanotubes. Nanotechnology, 20(39), 395707.

Liqiang Jia | Biological Sciences | Innovative Research Award

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Dr. Liqiang Jia | Biological Sciences | Innovative Research Award

Dr. Liqiang Jia | Guizhou Education University | China

Dr. Liqiang Jia is a plant molecular biologist recognized for advancing crop genomics, stress physiology, and molecular mechanisms underlying plant development. His scientific impact is reflected in 108 citations across 88 documents, supported by a portfolio of 6 publications and an h-index of 5. His research spans functional gene characterization, chlorophyll regulation, iron homeostasis, root system architecture, mitochondrial protein function, and ubiquitin-conjugating enzyme families in key crops such as rice, sorghum, and banana. Utilizing integrative genomics, molecular genetics, and transcriptomic analyses, he uncovers regulatory pathways driving plant growth, stress resilience, and nutrient efficiency. His discoveries in developmental regulation and stress-response networks contribute to innovation in plant biotechnology and sustainable agriculture. Through continued contributions in functional genomics, he enhances understanding of crop performance and biological adaptation.

Profile : Scopus 

Featured Publications 

Li, Z., Mo, W., Jia, L., et al. (2019). Rice FLUORESCENT1 is involved in the regulation of chlorophyll. Plant Cell Physiology, 60(10), 2307–2318.

Jia, L., Zhao, Q., & Chen, S. (2019). Evolution and expression analysis of the sorghum ubiquitin-conjugating enzyme family. Functional Plant Biology, 46(3), 236–247.

Dong, C., Hu, H., Jue, D., Zhao, Q., Chen, H., Xie, J., & Jia, L. (2016). The banana E2 gene family: Genomic identification, characterization, expression profiling analysis. Plant Science, 245, 11–24.

Jia, L., Wu, Z., Hao, X., et al. (2011). Identification of SPR1 involved in root development and iron homeostasis in rice. New Phytologist, 189(3), 843–855.

Jia, L., Zhang, B., Mao, C., et al. (2008). OsCYT-INV1 for alkaline/neutral invertase is involved in root cell development and reproductivity in rice. Planta, 228(1), 51–59.

 

Ali Olad | Chemistry | Best Researcher Award

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Prof. Dr. Ali Olad | Chemistry | Best Researcher Award

Scientific staff | University of Tabriz | Iran

Prof. Dr. Ali Olad is a prominent applied chemistry scholar recognized for advancing polymer composites, conducting polymers, nanocomposites, and innovative coating technologies. His work integrates fundamental material science with industrial applications, covering hydrogels, corrosion protection, electrochemical processes, and sustainable polymer systems. Known for a strong publication record and high scientific impact, he has significantly contributed to environmentally friendly materials, smart coatings, and functional polymer networks while teaching and mentoring across multiple academic levels. His research spans polymer–nanoparticle interactions, smart hydrogels, high-performance protective coatings, and green electrochemical approaches, with applications in electronics, sensing, biomedicine, and agriculture. His contributions to polymer science, curriculum development, and applied materials research have earned him recognition for scientific excellence, impactful innovation, and leadership in advancing modern functional materials.

Profile : ORCID 

Featured Publications 

Kouhi, M., Olad, A., Mirmohseni, A., & Pourabbas, B. (2025). PTSLIPS coatings using polyurethane-based nanocomposite. Progress in Organic Coatings, 204, 109246. Cited by: 1

Nazarlou, Z., Najjari, H., Olad, A., & Aydemir, U. (2025). Fluorine-free hydrophobic powder coatings. Surfaces and Interfaces, 106881. Cited by: N/A

Bastanian, M., Olad, A., & Ghorbani, M. (2025). High chrome exhaustion using oxidized tragacanthin. Journal of the American Leather Chemists Association, 120(5), 229–242. Cited by: N/A

Bastanian, M., Olad, A., & Ghorbani, M. (2025). Chrome-free leather manufacturing using aldehyde–vegetable combination tanning. International Journal of Biological Macromolecules, 306, 141554. Cited by: 1

Shakouripour, F., Olad, A., & Bayramoglu, G. (2025). Interpenetrating networks from chitosan and poly(HPMA/HEMA) for controlled release. International Journal of Biological Macromolecules, 301, 140929. Cited by: 3

Sbahrokh Khanizadeh | Biological Sciences | Editorial Board Member

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Dr. Sbahrokh Khanizadeh | Biological Sciences | Editorial Board Member

Editor in Chief | ELM Consulting | Canada

Sbahrokh Khanizadeh is a distinguished plant scientist known for influential work in fruit physiology, molecular biology, and crop improvement. His research spans multi-omics analysis, stress-response mechanisms, and biochemical pathways that shape key fruit quality traits, particularly in pears and strawberries. He has made notable contributions to understanding polyphenol composition, lignification processes, and regulatory gene networks involved in fruit texture and development. His collaborations with international research teams highlight his role in advancing modern horticultural science. Trained in plant biology and horticultural science, he has developed strong expertise in molecular genetics, fruit physiology, and biochemical trait analysis. His research experience includes leading studies on lignification, polyphenolic pathways, heat-stress responses, and the identification of genes influencing fruit structure. Recognized for scientific excellence, editorial service, and a strong publication record, he continues to contribute significantly to the progress of plant genomics and fruit-quality enhancement.

Profile : Scopus 

Featured Publications 

A critical review on pear fruit polyphenols and chlorogenic acid: Composition, bioavailability, and pharmacological potential. (n.d.). Journal unavailable. Cited by: 1.

Multi-omics analyses reveal stone cell distribution pattern in pear fruit. (2023). Plant Journal. Cited by: 35.

Transcriptome analysis provides new ideas for studying the regulation of glucose-induced lignin biosynthesis in pear calli. (2022). BMC Plant Biology. Cited by: 13.

Exogenous melatonin alleviates heat-induced oxidative damage in strawberry (Fragaria × ananassa cv. Ventana). (2022). Journal of Plant Growth Regulation. Cited by: 61.

Analysis of PRX gene family and its function on cell lignification in pears (Pyrus bretschneideri). (2021). Plants. Cited by: 13.

Wei Jiang | Engineering | Editorial Board Member

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Assoc. Prof. Dr. Wei Jiang | Engineering | Editorial Board Member

Associate Dean | Changzhou Institute of Technology | China

Assoc. Prof. Dr. Wei Jiang is an Associate Professor and academic leader specializing in aerospace engineering, aircraft dynamics, structural safety, turbulence response, and reliability-based design. His work integrates advanced modeling with applied engineering to enhance flight safety, structural health monitoring, and high-precision measurement technologies. With significant experience in multidisciplinary research and leadership roles, he has contributed to major scientific projects, industry–academia collaborations, and the development of innovative methods for analyzing nonlinear aircraft behavior under complex atmospheric conditions. His research also extends to precision measurement, tribology, and applied computational analysis, supporting advancements in aircraft performance, predictive maintenance, and structural optimization. His contributions have been recognized through multiple provincial-level honors that acknowledge his impact on engineering innovation and scientific development.

Profile : Scopus 

Featured Publictions 

Chen, J., Chen, Z., & Jiang, W. (2025). A reliability-based design optimization strategy using quantile surrogates by improved PC-kriging. Reliability Engineering & System Safety. Cited by: N/A.

Jiang, W., Guo, H., Li, Z., & Chang, R. C. (2024). Nonlinear unsteady behaviour study for jet transport aircraft response to serious atmospheric turbulence. The Aeronautical Journal. Cited by: N/A.

Jiang, W., Guo, H., Zhu, D., & Chang, R. C. (2024). Optimization of flight conditions based on performance sensitivity analysis for jet transport aircraft. Aircraft Engineering and Aerospace Technology. Cited by: N/A.

Jiang, W., Chang, R. C., Yang, N., & Xu, Y. (2023). Severity assessment of sudden plunging motion for jet transport aircraft in severe turbulence. Aircraft Engineering and Aerospace Technology. Cited by: N/A.

Jiang, W., Chang, R. C., Zhang, S., & Zang, S. (2023). Structural health monitoring and flight safety warning for aging transport aircraft. Journal of Aerospace Engineering. Cited by: N/A.

Ali Songhori | Planetary Sciences | Editorial Board Member

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Mr. Ali Songhori | Planetary Sciences | Editorial Board Member

Mr. Ali Songhori | University of Tehran | Iran

Mr. Ali Songhori is a seismologist and geophysicist specializing in earthquake monitoring, seismic hazard assessment, and geophysical instrumentation. He has a strong academic foundation in earth system physics, geophysics, and engineering physics, complemented by extensive experience in seismic network operations, fieldwork, and data analysis. His professional work spans managing seismic data, earthquake notifications, and field operations, along with contributions to disaster mitigation initiatives, teaching, and national geophysics conferences. His research integrates seismic monitoring, site response studies, fault dynamics, historical earthquake simulation, and operational network management, bridging computational modeling with practical field applications. Recognized for academic excellence and competitive achievements, he combines scientific expertise with a focus on improving public safety and advancing seismological knowledge.

Profile : Google Scholar 

Featured Publications 

Songhori, A., Sadidkhouy, A., & Pakzad, M. (2023). Simulation of historical earthquakes on 1 Apr. 958 A.D., Mw=6.3 and 1 Apr. 1150 A.D., Mw=6.1 using aftershocks data of 27 Nov. 2017. Iranian Journal of Geophysics.

Rahimi, H., Hosseine, M., & Songhori, A. (2021). Probabilistic fault displacement hazard analysis for North Tabriz fault. Iranian Journal of Geophysics.

Khorrami, Z., Moradi, A., & Songhori, A. (2022). Relocation of April 5th 2017 Sefid-Sang earthquake aftershocks. Journal of Earth and Space Physics.

Mariam Ben Hassen | Computer Science | Editorial Board Member

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Assist. Prof. Dr. Mariam Ben Hassen | Computer Science | Editorial Board Member

Assist. Prof. Dr. Mariam Ben Hassen | University of Sfax | Tunisia

Dr. Mariam Ben Hassen is a computer science scholar recognized for her contributions to knowledge management, business process modeling, ontology engineering, and decision support. Her work bridges theoretical innovation with practical frameworks for designing and specifying complex enterprise information systems, emphasizing multi-dimensional modeling, intelligent systems, and extending BPMN through ontological structures. Her research develops conceptual and ontological frameworks to model sensitive business processes, enhance enterprise information systems, and support knowledge-driven decision-making. She has extensive experience in academic teaching, research supervision, and project leadership, producing impactful publications in high-ranking journals and international conferences. Her scholarship integrates knowledge representation with organizational processes, advancing modern perspectives in information systems engineering and providing valuable tools for intelligent, data-informed enterprise management.

Profile : Google Scholar 

Featured Publications 

Conceptual Analysis of Sensitive Business Processes. (2023). Business Process Management Journal. Cited by: N/A.

 

Swati Tyagi | Decision Sciences | Editorial Board Member

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Dr. Swati Tyagi | Decision Sciences | Editorial Board Member

Researcher | University Of Delaware | United States

Dr. Swati Tyagi specializes in machine learning and artificial intelligence, contributing to data science, data mining, and finance with a focus on interpretable and ethical AI. Their work advances multimodal data fusion, sentiment prediction, and transparent decision systems while addressing real-world challenges in financial modeling, medical imaging, and cybersecurity. With strong expertise in algorithmic design, predictive analytics, and deep learning, they engage in diverse research collaborations involving bias mitigation, image segmentation, credit scoring, and automated analysis. Their interests include explainable machine learning, natural language processing, data fusion, financial analytics, and equitable AI frameworks that support trustworthy and domain-driven applications. Their contributions to scholarly publications, interdisciplinary projects, and AI innovations have earned recognition in areas such as gender-fair modeling, interpretable decision architectures, and high-utility computational solutions, reflecting a commitment to responsible and impactful AI research.

Profile : Google Scholar 

Featured Publications 

Author(s). (2022). Analyzing machine learning models for credit scoring with explainable AI and optimizing investment decisions. arXiv. Cited by: 50.

Author(s). (2022). Comparative analysis of artificial intelligence and its powered technologies applications in the finance sector. Proceedings of the 5th International Conference on Contemporary Computing and Informatics. Cited by: 42.

Author(s). (2024). Analysis of multimodality fusion of medical image segmentation employing deep learning. Human Cancer Diagnosis and Detection Using Exascale Computing. Cited by: 26.

Author(s). (2023). Machine learning model-based financial market sentiment prediction and application. Proceedings of the 3rd International Conference on Advance Computing and Innovative Technologies. Cited by: 22.

Author(s). (2024). New perspectives, challenges, and advances in data fusion in neuroimaging. Human Cancer Diagnosis and Detection Using Exascale Computing. Cited by: 18.

 

Jasdeep Monga | Dentistry | Editorial Board Member

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Prof. Dr. Jasdeep Monga | Dentistry | Editorial Board Member

Professor | NC Medical College Panipat | India

Prof. Dr. Jasdeep Monga has made meaningful contributions to clinical innovation in otolaryngology, focusing on advanced surgical techniques and comparative evaluations that improve patient outcomes and overall care quality. Their education reflects strong training in medical and surgical sciences with specialization in ENT, emphasizing diagnostic precision, endoscopic proficiency, and evidence-based practice. Their professional experience includes managing lacrimal system disorders, performing minimally invasive procedures, and working collaboratively with multidisciplinary teams to refine treatment strategies. Their research interests center on lacrimal surgeries, endoscopic interventions, diagnostic refinement, and outcome-focused clinical improvements, with a commitment to identifying techniques that enhance recovery and long-term success. They have been acknowledged for contributing to scientific work, supporting evidence-based practice, and advancing modern otolaryngology through consistent research engagement and publication efforts.

Profile : ORCID 

Featured Publications 

Monga, J., Sharma, Y., Mishra, G., & Patel, M. Resolving perplexity: Comparison of endoscopic dacryocystorhinostomy with and without stent. Indian Journal of Otolaryngology and Head and Neck Surgery. — Cited by: Available via indexing databases.

Wedajo Gebre | Biological Sciences | Editorial Board Member

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Mr. Wedajo Gebre | Biological Sciences | Editorial Board Member

Wedajo Gebre | Jinka University | Ethiopia

Wedajo Gebre is an emerging researcher recognized for his growing contributions to agricultural science, with a focus on crop improvement and genetic diversity. His work explores natural variability in traditional crops to support sustainable agriculture and strengthen food security. He emphasizes the value of indigenous genetic resources and applies modern breeding approaches to identify promising traits for crop development. His research reflects a strong commitment to improving plant performance, understanding grain-quality characteristics, and enhancing local crop varieties suited to diverse environments. Through collaborative studies and analytical research, he contributes to bridging traditional agricultural knowledge with scientific innovation, supporting community-focused agricultural progress and long-term sustainability.

Profile : Scopus 

Featured Publications 

Gebre, W., Mekbib, F., Tirfessa, A., & Bekele, A. (2024). Genetic variability among lowland sorghum accessions collected from southern Ethiopia for grain quality traits. Heliyon, 10(4), e25323.