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.

 

 

Mansour Binandeh | Chemistry | Editorial Board Member

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Dr. Mansour Binandeh | Chemistry | Editorial Board Member

Researcher | University of Birjand | Iran

Mansour Binandeh is a dedicated researcher recognized for his contributions to materials science, nanotechnology, and catalytic systems. His work focuses on designing magnetic nanocatalysts, developing greener chemical processes, and creating efficient synthesis pathways for advanced functional materials. Through impactful publications and steadily increasing citations, he has established a strong scientific presence. His research blends experimental chemistry with engineering principles, emphasizing sustainability, improved reaction efficiency, and practical industrial relevance. With expertise in modern characterization techniques and catalytic transformations, he consistently explores innovative solutions for environmental and materials-based challenges.

Profile : Scopus 

featured Publications 

Binandeh, M. (2025). One-pot Sonogashira coupling and oxidation of alcohol reactions by magnetic nanocatalyst in an ideal environment. Journal of Materials Science: Materials in Engineering — 3 citations.

Santhi Durganjali Challa | Energy | Editorial Board Member

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Dr. Santhi Durganjali Challa | Energy | Editorial Board Member

Research Scholar | BITS-PILANI, Hyderabad Campus | India

Dr. Santhi Durganjali Challa is a dedicated researcher focused on advancing power electronics, power systems, renewable energy technologies, and modern energy management methods. Her work emphasizes solar photovoltaic systems, battery modeling, machine learning–based performance prediction, and fast-charging system development, reflecting a strong commitment to addressing current energy challenges. She has contributed to studies involving PV efficiency improvement, control strategies, harmonic reduction techniques, and predictive modeling for sustainable power solutions. Through her growing publication record, technical collaborations, and participation in interdisciplinary projects, she continues to strengthen her expertise in simulation-driven analysis, experimental energy research, and optimization of clean energy systems. Her academic accomplishments demonstrate consistency, innovation, and a clear focus on enhancing renewable energy integration and overall system performance.

Profile : Google Scholar 

Featured Publication 

Challa, S. D. (2023). Prediction of PV cell parameters via ML algorithms. Energy Conversion and Management. 1 citation.

Challa, S. D. (2022). Techno-economic analysis of extreme fast charging topologies. Journal of Energy Storage. 1 citation.

Challa, S. D. (2021). Performance of solar PV systems in underwater environment. Microelectronics and Signal Processing. 1 citation.

Challa, S. D. (2020). Recent developments and future advancements in solar panels technology. Journal of Physics: Conference Series. 27 citations.

Challa, S. D. (2019). PV cell performance with varying temperature levels. GCAT Conference. 2 citations.

Sasan Asiaei | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Sasan Asiaei | Engineering | Best Researcher Award

Professor | Iran University of Science and Technology | Iran

Assoc. Prof. Dr. Sasan Asiaei is a mechanical and biomedical engineering researcher specializing in microfluidics, Bio-MEMS, nanotechnology, and advanced diagnostic micro-systems. His work spans microfabrication, biosensing, drug delivery, and point-of-care platforms, including immunoassay innovations, microneedle systems, and droplet-based biomanufacturing strategies that enhance personalized medicine and clinical diagnostics. With 644 citations across 625 documents, he has produced 42 publications, including 15 in recognized research categories. His research integrates engineering precision with clinical utility, emphasizing accessible healthcare solutions and miniaturized diagnostic devices. Through interdisciplinary collaborations, laboratory development, and continued innovation, he contributes to emerging healthcare and industrial applications, strengthening the connection between mechanical engineering and translational biomedical research.

Profiles : Scopus | ORCID | Google Scholar 

Featured Publications

Author, A. A. (2024). Investigating magnetic hyperthermia for glioblastoma. Results in Engineering.

Author, A. A. (2024). Dynamic insulation technologies (Part A). Building Services Engineering Research & Technology.

Author, A. A. (2024). Dynamic façades (Part B). Building Services Engineering Research & Technology.

Author, A. A. (2024). Pyramid solar still performance. Frontiers in Heat and Mass Transfer.

Author, A. A. (2024). Dynamic façade performance in hot climates. Frontiers in Heat and Mass Transfer.