Pavuluri Srinivasa Rao | Food Process Engineering | Innovative Research Award

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Innovative Research Award

Pavuluri Srinivasa Rao – Indian Institute of Technology, Kharagpur, India

Pavuluri Srinivasa Rao
Affiliation Indian Institute of Technology, Kharagpur
Country India
Scopus ID 55901994300
Documents 167
Citations 4,811
h-index 39
Subject Area Food Process Engineering
Event World Top Scientist Awards
ORCID 0000-0003-3999-173X

Pavuluri Srinivasa Rao is a researcher associated with the Agricultural and Food Engineering Department at the Indian Institute of Technology Kharagpur. His documented research activities include food processing, millet processing, extrusion, drying, and process optimization. Published studies identify his involvement in research addressing food quality, processing efficiency, nutritional properties, and value-added food products. [1]

Abstract

The Innovative Research Award recognition profile presents the research activities of Pavuluri Srinivasa Rao within Food Process Engineering. His publication record includes studies on cereal and millet processing, extrusion technology, drying, and food-quality optimization. Research involving his supervision and collaboration has examined processing parameters and their relationships with nutritional, functional, and technological characteristics. [1] [2]

Keywords

Food Process Engineering; Food Processing; Millet Processing; Extrusion Technology; Drying Technology; Process Optimization; Food Quality; Nutritional Properties; Cereal Processing; Innovative Research.

Introduction

Food Process Engineering integrates engineering principles with biological and food-science applications to improve processing operations and product quality. Rao’s published research reflects this interdisciplinary approach through investigations of processing technologies and their effects on food materials. His work includes both conventional and emerging approaches for improving processing performance and value addition. [3]

Research Profile

The research profile is centered on Agricultural and Food Engineering, with particular relevance to food-process development and optimization. Published work has addressed extrusion-based product development, millet processing, drying behaviour, and processing-induced changes in food materials. These studies demonstrate the application of experimental design, process evaluation, and engineering analysis to food-processing problems. [2] [4]

Research Contributions

A notable contribution concerns the evaluation and optimization of millet polishing parameters, including moisture content, rotational speed, and processing time. Another research area involves extrusion of fermented rice-black gram flour for functional snack development and characterization. Additional collaborative studies have investigated drying methods and processing stability, supporting broader efforts toward efficient food processing and value addition. [1] [3]

Publications

Selected publications associated with Rao include studies in the Journal of Food Process Engineering, Journal of Food Science and Technology, International Journal of Food Science and Technology, International Journal of Biological Macromolecules, and Trends in Food Science and Technology. The publications collectively cover processing optimization, extrusion, cereal processing, starch characteristics, and storage stability of processed foods. [1] [2] [3] [4] [5]

Research Impact

The supplied researcher metrics report 167 documents, 4,811 citations, and an h-index of 39. These figures provide a quantitative snapshot of the research record as supplied for this recognition profile and should be understood as database-dependent indicators. His published studies also demonstrate relevance to food-product development, process optimization, and improved utilization of cereal and millet resources. [1]

Award Suitability

The Innovative Research Award profile is aligned with Rao’s documented work because his research addresses applied engineering challenges in food processing. Evidence includes peer-reviewed studies involving process optimization, extrusion, millet processing, drying, and functional food development. The breadth of these themes provides a reasonable scholarly basis for consideration within an award category focused on innovative research. [1] [3]

Conclusion

Pavuluri Srinivasa Rao’s research record reflects sustained engagement with Food Process Engineering and related food-science applications. His publications address practical processing challenges through experimental investigation, process optimization, and evaluation of food quality characteristics. On the evidence presented here, his research profile is relevant to an Innovative Research Award focused on contributions to food-processing technology. [1] [2]

References

  1. Rao, P. S., et al. (2024). Effect of polishing on milling, nutritional properties, and optimization of polishing process parameters for kodo and browntop millets: A response surface methodology approach. Journal of Food Process Engineering.
    https://doi.org/10.1111/jfpe.14510
  2. Rani, P., Kumar, A., Purohit, S. R., & Rao, P. S. (2021). Extrusion of fermented rice-black gram flour for development of functional snacks: Characterization, optimization and sensory analysis. Journal of Food Science and Technology, 58, 494–509.
    https://doi.org/10.1007/s13197-020-04558-4
  3. Jat, K., Jayachandran, L. E., & Rao, P. S. (2023). Impact of temperature assisted ultrasonication on the quality attributes of beetroot (Beta vulgaris L.) juice. Journal of Food Process Engineering.
    https://doi.org/10.1111/jfpe.14111
  4. Joshi, T. J., Singh, S. M., & Rao, P. S. (2023). Novel thermal and non-thermal millet processing technologies: Advances and research trends. European Food Research and Technology.
    https://doi.org/10.1007/s00217-023-04227-8
  5. Sruthi, N. U., & Rao, P. S. (2021). Effect of processing on storage stability of millet flour: A review. Trends in Food Science & Technology, 112, 58–74.
    https://doi.org/10.1016/j.tifs.2021.03.043

Jessica BrodeFrank | Cultural Heritage | Young Scientist Award | 4653

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Young Scientist Award

Jessica BrodeFrank – University of Illinois Chicago

Jessica BrodeFrank
Affiliation University of Illinois Chicago
Country United States
Scopus ID 59246656900
Documents 2
Subject Area Cultural Heritage
Event World Top Scientist Awards
ORCID 0009-0008-4788-9376

Jessica BrodeFrank is a researcher and academic professional affiliated with the University of Illinois Chicago. Her documented work connects digital humanities, cultural heritage, information literacy, museum collections, and public engagement, providing a multidisciplinary foundation for recognition under a young scientist category.[1]

Abstract

Jessica BrodeFrank is a researcher and academic professional affiliated with the University of Illinois Chicago, with documented interests spanning digital humanities, cultural heritage, information literacy, museum collections, and public engagement. Her academic record includes doctoral training in Digital Humanities and research addressing the relationship between cultural heritage organizations and their audiences. These themes position her research within an interdisciplinary area connecting humanities scholarship, libraries, museums, and digital technologies.[2]

Keywords

Jessica BrodeFrank; Cultural Heritage; Digital Humanities; Museum Collections; Digital Literacy; Information Literacy; Crowdsourcing; Public Engagement; Digital Catalogues; Cultural Heritage Organizations.

Introduction

BrodeFrank’s documented professional profile places her at the intersection of scholarship, digital humanities, libraries, museums, and cultural heritage. ORCID records indicate that she has served as a Clinical Assistant Professor and Digital Librarian in Digital Programs at the University of Illinois Chicago since June 2023.[1] Her professional activities also include engagement with organizations and initiatives connected with museums and digital innovation. This combination of academic and professional experience provides context for understanding the development of her research interests.[4]

Research Profile

Her documented education includes a DPhil in Digital Humanities from the School of Advanced Study, completed between September 2019 and January 2024.[1] Her research profile includes work on cultural heritage organizations, museum collections, digital catalogues, information literacy, and participatory digital experiences. These activities demonstrate continued involvement in digital and cultural heritage scholarship.[5]

Research Contributions

BrodeFrank’s recorded contributions address participatory experiences, museum metadata, information literacy, and public input in digital catalogues. Her work examines ways in which cultural heritage collections can become more accessible and useful through participation and digital engagement.[2] Particular attention is given to questions involving representation, transparency, access, and the description of collections. [3]

Publications

The available ORCID record documents publications and scholarly works spanning journal articles, book chapters, interactive resources, magazine contributions, and other academic outputs.[1] Among the documented works are publications concerning cultural heritage organizations, digital literacy interventions, museum metadata, and crowdsourcing knowledge for representation. Several recorded publications include DOI identifiers, providing persistent links to the associated scholarly records.[2]

Research Impact

The documented body of work demonstrates an emphasis on connecting cultural heritage collections with audiences through participatory and digital methods. Her publications address practical challenges involving access, metadata, representation, information literacy, and engagement across cultural heritage environments.[2] Such research can contribute to discussions about how institutions organize, describe, and present collections for diverse audiences. [3]

Award Suitability

Based on the supplied academic record, BrodeFrank presents a profile relevant to a Young Scientist Award emphasizing emerging scholarship, digital humanities, and cultural heritage. Her doctoral training, academic appointment, documented publications, and professional distinctions provide evidence of an active interdisciplinary research trajectory.[1] Her research addresses contemporary questions surrounding digital access, cultural collections, and public participation. [5]

Conclusion

Jessica BrodeFrank’s documented scholarship centers on digital approaches to cultural heritage, with particular attention to participation, information literacy, museum collections, and digital access. Her academic preparation and professional experience demonstrate an interdisciplinary pathway linking digital humanities with cultural heritage practice.[1]

References

  1. ORCID. (2026). Jessica BrodeFrank — ORCID record and employment information.
    https://orcid.org/0009-0008-4788-9376
  2. BrodeFrank, J. (2026). The Power Behind Choice: Cultural Heritage Organizations’ Ability to Address Information Literacy Through Engagement with the Public. Heritage. DOI: 10.3390/heritage9080293
    https://doi.org/10.3390/heritage9080293
  3. BrodeFrank, J. (2025). Participatory Experiences as Digital Literacy Intervention: Using Cultural Heritage Collections to Build. International Journal of Academic Studies in Technology and Education. DOI: 10.55549/ijaste.63
    https://doi.org/10.55549/ijaste.63
  4. BrodeFrank, J. (2022). Crowdsourcing Metadata in Museums: Expanding Descriptions, Access, Transparency, and Experience. Perspectives on Data. DOI: 10.53269/9780865593152/02
    https://doi.org/10.53269/9780865593152/02
  5. BrodeFrank, J. (2021). Crowdsourcing Knowledge for Representation: Interactive Learning and Engagement with Collections Using Zooniverse’s Mapping Historic Skies. Theory and Practice. Research work recorded in the author’s ORCID profile.
    https://orcid.org/0009-0008-4788-9376

Jiyang Yi | Engineering | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Best Researcher Award

Jiyang Yi
Affiliation Nanjing Forestry University
Country China
Scopus ID 58249403100
Documents 27
Citations 308
h-index 11
Subject Area Engineering
Event World Top Scientist Awards
ORCID 0009-0006-2838-7739

Jiyang Yi – Nanjing Forestry University

Jiyang Yi is a researcher at Nanjing Forestry University, China, specializing in structural engineering, construction materials, composite structures, and computational engineering. His research includes reinforced concrete, concrete-filled steel tubes, bamboo composites, structural strengthening, and machine-learning-based engineering prediction.

Abstract

Jiyang Yi’s documented research profile represents a multidisciplinary engineering portfolio combining experimental investigation, structural modelling, advanced materials, and machine-learning methods. His published research addresses structural capacity, mechanical behaviour, composite members, bamboo-based construction materials, and computational prediction. These themes position his work within contemporary structural and construction engineering research.[2]

Keywords

Structural Engineering; Bamboo Composites; Concrete-Filled Steel Tubes; Reinforced Concrete; Composite Structures; Structural Materials; Machine Learning; Structural Capacity; Sustainable Construction; Engineering Modelling.

Introduction

Modern structural engineering increasingly integrates laboratory experiments, numerical simulation, sustainable materials, and data-driven prediction. Yi’s documented publications reflect this development through research on structural members and materials together with computational techniques. The research record includes studies published in established engineering journals and covers both conventional and emerging structural systems. Examples include bamboo scrimber members, concrete-filled steel tubes, reinforced concrete columns, composite beams, structural connectors, and machine-learning prediction models. [1] [2]

Research Profile

The supplied ORCID information identifies Jiyang Yi as affiliated with Nanjing Forestry University in Nanjing, Jiangsu, China. His recent publications demonstrate continuing activity in structural performance assessment and computational modelling. Topics include axial compression, flexural behaviour, structural strengthening, connector mechanics, bamboo materials, and interpretable machine-learning approaches for predicting structural capacity. [3] [4]

Research Contributions

One important research theme is the engineering evaluation of bamboo and bamboo scrimber. The documented publications examine thermal modification, axial compression, flexural properties, and bamboo-integrated structural systems. Such studies contribute experimental evidence and modelling approaches for understanding the mechanical performance of alternative construction materials. [4] [5]

Publications

Jiyang Yi’s research reflects a broad interest in structural engineering and advanced construction materials. His work combines experimental investigation, numerical analysis, and computational methods to examine structural performance and material behaviour. The research also considers innovative materials and data-driven approaches in engineering. These areas demonstrate an interdisciplinary approach to contemporary structural research. [2]

Research Impact

The supplied bibliometric information reports 27 documents, 308 citations, and an h-index of 11. These indicators provide quantitative measures of scholarly visibility and citation activity. They can be considered alongside publication quality, research originality, collaboration, and the relevance of individual contributions when evaluating a researcher’s overall academic profile. [1]

Award Suitability

The documented profile contains several measurable elements relevant to an academic recognition assessment, including an established university affiliation, a defined engineering subject area, a substantial publication record, citation activity, and an h-index. The breadth of topics across structural materials, composite systems, and computational engineering further provides a basis for scholarly evaluation.[5]

Conclusion

Jiyang Yi’s documented research activity demonstrates a continuing focus on structural engineering, construction materials, composite systems, and computational analysis. His publication record includes experimental, numerical, and machine-learning studies involving bamboo, concrete, steel, and hybrid structural systems. [3]

References

  1. Elsevier. (n.d.). Scopus author details: Jiyang Yi, Author ID 58249403100. Scopus.https://www.scopus.com/pages/authors/58249403100
  2. Zhao, Z., Wei, Y., Yi, J., Chen, J., Ding, Y., Huang, L., & Lin, Y. (2026). Unified prediction of monotonic axial compression capacity of square and circular UHPC-filled steel tube columns: A machine learning-based approach. Thin-Walled Structures.https://doi.org/10.1016/J.TWS.2026.115384
  3. Xie, X., Wei, Y., Yi, J., Zhang, Z., Chen, J., & Huang, S. (2026). Aging effects on compressive behavior, micromechanisms, and constitutive modeling of laminated bamboo. Construction and Building Materials.https://doi.org/10.1016/J.CONBUILDMAT.2026.147987
  4. Zhang, Z., Wei, Y., Wang, J., Yi, J., & Wang, G. (2024). Effect of thermal modification on axial compression properties and hardness of laminated bamboo. Construction and Building Materials.https://doi.org/10.1016/j.conbuildmat.2023.134747
  5. Zhang, Y., Ren, C., Yi, J., Wei, Y., Li, G., & Zhao, H. (2024). Axial compression performance of concrete-filled steel tubular columns with damaged BFRP jackets. Construction and Building Materials.https://doi.org/10.1016/j.conbuildmat.2024.137640

Ahmed Fouly | Materials Science | Innovative Research Award

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Innovative Research Award

Ahmed Fouly
Affiliation King Saud University
Country Saudi Arabia
Scopus ID 57197901645
Documents 88
Citations 1,011
h-index 20
Subject Area Materials Science
Event World Top Scientist Awards
ORCID 0000-0002-0358-0392

Ahmed Fouly – King Saud University

Ahmed Fouly is a researcher whose scholarly record encompasses materials science, mechanical engineering, tribology, composite materials, additive manufacturing, biomedical materials, and related engineering applications. His ORCID record identifies an extensive body of research works and academic activity, including publications addressing advanced materials and their engineering performance.[1]

Abstract

Ahmed Fouly’s research profile reflects multidisciplinary activity within materials science and engineering, with particular emphasis on tribological behavior, polymer and metal composites, advanced manufacturing, biomedical applications, and computational approaches. The ORCID record documents numerous scholarly works and research-review activities, providing evidence of sustained academic engagement across these areas.[1]

Keywords

Materials Science; Composite Materials; Tribology; Mechanical Engineering; Nanocomposites; Biomedical Materials; Additive Manufacturing; Machine Learning.

Introduction

Fouly’s documented publications cover several contemporary materials-engineering problems, including mechanical performance, corrosion, lubrication, thermal behavior, and functional composite development. Recent works include studies of 3D-printed PLA composites, high-entropy-alloy-reinforced aluminum composites, and titanium-based alloys for potential biomedical applications.[2] [3]

Research Profile

The available record indicates a broad research portfolio linking materials characterization with practical engineering applications. His publications address polymer composites, metallic materials, tribological systems, renewable-energy-related materials, and artificial-intelligence-assisted prediction. This breadth places his work within the interdisciplinary development and evaluation of advanced engineering materials.[1]

Research Contributions

Representative contributions include research on the tribo-mechanical behavior of Ti-Mo-Zr-Ta-Sn alloys, high-entropy-alloy particle reinforced aluminum composites, and machine-learning prediction of mechanical properties in 3D-printed PLA composites. These studies illustrate the integration of experimental characterization, materials processing, and computational analysis in engineering research.[2] [3] [4]

Publications

The ORCID record lists publications across journals including Polymers, Tribology International, Engineering Science and Technology, an International Journal, and IEEE Access. Selected works are presented in the references below with DOI links for direct bibliographic access.[2] [3] [4] [5]

Research Impact

The supplied profile data report 88 documents, 1,011 citations, and an h-index of 20. These metrics provide quantitative indicators of scholarly visibility, although citation-based measures should be interpreted in relation to publication field, career stage, database coverage, and disciplinary practices. The ORCID record also documents substantial peer-review activity across materials and engineering journals.[1]

Award Suitability

For the World Top Scientist Awards, the profile presents relevant evidence of sustained publication activity and interdisciplinary materials-science research. The combination of documented publications, citation indicators, and research spanning advanced composites, tribology, biomedical materials, and machine learning provides a reasonable scholarly basis for consideration under an innovative research recognition category. [3] [4]

Conclusion

Ahmed Fouly’s documented research portfolio demonstrates continuing engagement with advanced materials and engineering applications. His publication record includes experimentally and computationally oriented studies addressing contemporary challenges in materials performance, manufacturing, tribology, and biomedical engineering, supporting consideration for an academic recognition focused on innovative research. [4]

References

  1. ORCID. (2026). Ahmed Fouly: ORCID record and research activities. ORCID.
    https://orcid.org/0000-0002-0358-0392
  2. Fouly, A., Alshehri, H., Alnaser, I. A., & Sherif, E. M. (2025). Exploring the tribo-mechanical performance of Ti-Mo-Zr-Ta-Sn alloys with a focus on their suitability for biomedical use. Engineering Science and Technology, an International Journal.
    https://doi.org/10.1016/j.jestch.2024.101933
  3. Luo, K., Farid, W., Fouly, A., Kong, C., & Yu, H. (2025). Tribological characterization of high entropy alloy particles reinforced aluminum matrix composites at room and cryogenic temperatures. Tribology International.
    https://doi.org/10.1016/j.triboint.2025.110546
  4. Fouly, A. (2026). Machine Learning-Based Estimation of Mechanical Properties of 3D-Printed PLA Composites Under Annealing Treatment. Polymers, 18(15), 1808.
    https://doi.org/10.3390/polym18151808
  5. Fouly, A., Taha, M., Albahkali, T., Shar, M. A., Abdo, H. S., & Nabhan, A. (2024). Developing Artificial Intelligence Models for Predicting the Tribo-Mechanical Properties of HDPE Nanocomposite Used in Artificial Hip Joints. IEEE Access.
    https://doi.org/10.1109/ACCESS.2024.3352448

Aazam Aarabi | Food Science | Innovative Research Award

Published on | Editorial Board by World Top Scientists

Innovative Research Award

Aazam Aarabi
Affiliation Islamic Azad University
Country Iran
Scopus ID 25923334000
Documents 20
Citations 357
h-index 12
Subject Area Food Science
Event World Top Scientist Awards
Google Scholar dzXx8goAAAAJ&hl

Aazam Aarabi – Islamic Azad University

Aazam Aarabi is a food science researcher affiliated with Islamic Azad University in Iran, whose documented scholarly work covers food chemistry, food packaging, food technology, functional foods, food ingredients, and related processing applications. The available scholarly record includes research on pomegranate juice, sugar beet pulp, ferulic acid, vanillin production, cereal products, biodegradable films, mucilage extraction, and food-related materials. [1]

Abstract

Aazam Aarabi’s research profile is situated within food science and technology, with particular emphasis on food chemistry, food processing, food packaging, functional food systems, and the utilization of agricultural by-products. The supplied scholarly record documents publications addressing phenolic compounds, cereal products, edible and biodegradable films, extraction processes, food quality, and emerging food-material applications. [1]

Keywords

Food Science, Food Technology, Food Chemistry, Food Packaging, Functional Foods, Food Processing, Ferulic Acid, Sugar Beet Pulp, Biodegradable Films, Food Ingredients, Cereal Products, Agricultural By-Products, Food Materials, Intelligent Packaging, Food Quality

Introduction

Food science research increasingly combines chemistry, processing technology, materials science, and functional ingredient development to address challenges associated with food quality, sustainability, and value addition. Within this multidisciplinary environment, research involving agricultural by-products can contribute to the recovery of useful compounds and the development of alternative food and packaging materials. Aarabi’s publication record contains several studies positioned within these intersecting areas. [2]

Research Profile

The research record also reflects collaboration with researchers from different food science, chemistry, engineering, and related disciplines. Published work includes multi-author studies involving food formulations, agricultural by-products, polymeric films, starch modification, red beet processing, and intelligent packaging. Such interdisciplinary collaboration is consistent with contemporary approaches in food science, where chemical analysis, material characterization, processing optimization, and product development frequently intersect. [3]

Research Contributions

Food packaging represents a further area of contribution. The supplied publication record includes research evaluating gluten-based films incorporating vanillin, salicylic acid, and montmorillonite, as well as later work involving Persian gum and guar gum. These studies examine physicomechanical and functional properties of polymer-based films, connecting food science with materials development and the broader objective of improving biodegradable or bio-based packaging systems. [4]

Publications

Aazam Aarabi has published research in food science and technology covering food chemistry, food packaging, functional foods, food processing, and agricultural by-product utilization. His publications include studies on pomegranate juice, ferulic acid extraction, sugar beet pulp, vanillin production, cereal products, biodegradable films, flaxseed materials, starch modification, and intelligent food packaging. The supplied Google Scholar record documents publications from 2008 to 2025, reflecting continued research activity across these areas. [2]

Research Impact

The supplied Google Scholar record provides evidence of scholarly visibility through citation counts and publication activity. At the time represented by the supplied document, the profile displayed 574 citations, an h-index of 13, and an i10-index of 15 for the overall Google Scholar record. These figures differ from the bibliometric values supplied separately for this award page, which specify 357 citations and an h-index of 12; therefore, the award-page values have been retained in the infobox as requested.[2]

Award Suitability

The documented research profile is relevant to an innovation-oriented award because it includes studies that connect food science with practical processing, extraction, material development, and food packaging. Research on sugar beet pulp demonstrates an approach to recovering value from an agricultural by-product, while work on biodegradable films addresses material functionality and packaging performance. These research directions provide substantive evidence of innovation-oriented activity in food science.[2]

Conclusion

Aazam Aarabi’s documented academic profile reflects sustained research activity in food science and technology, with particular interests in food chemistry, food packaging, food technology, and functional food. The supplied publication record includes peer-reviewed research involving agricultural by-products, food ingredients, cereal products, polymeric films, intelligent packaging, and food processing. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Aazam Aarabi, Author ID 25923334000. Scopus.
    https:/www.scopus.com/
  2. Aarabi, A., Mizani, M., Honarvar, M., Faghihian, H., & Gerami, A. (2016). Extraction of ferulic acid from sugar beet pulp by alkaline hydrolysis and organic solvent methods. Journal of Food Measurement and Characterization, 10(1), 42–47.
    https://doi.org/10.1007/s11694-015-9274-z
  3. Aarabi, A., Mizani, M., & Honarvar, M. (2017). The use of sugar beet pulp lignin for the production of vanillin. International Journal of Biological Macromolecules, 94, 345–354.
    https://doi.org/10.1016/j.ijbiomac.2016.10.004
  4. Khashayary, S., & Aarabi, A. (2021). Evaluation of physico-mechanical and antifungal properties of gluten-based film incorporated with vanillin, salicylic acid, and montmorillonite (Cloisite 15A). Food and Bioprocess Technology, 14(4), 665–678.
    https://link.springer.com/article/10.1007/s11947-021-02598-y
  5. Najafian, N., Aarabi, A., & Nezamzadeh-Ejhieh, A. (2022). Evaluation of physicomechanical properties of gluten-based film incorporated with Persian gum and guar gum. International Journal of Biological Macromolecules, 223, 1257–1267.
    https://doi.org/10.1016/j.ijbiomac.2022.11.044

Yingpei Sun | Psychology | Best Researcher Award

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Best Researcher Award

Yingpei Sun – Shaanxi Normal University, China

Yingpei Sun
Affiliation Shaanxi Normal University
Country China
Scopus ID 60603332500
Subject Area Psychology
Event World Top Scientist Awards

Yingpei Sun is a researcher at Shaanxi Normal University, China, with academic interests in psychology, behavioral science, cognition, risk perception, and safety-related human factors. His research focuses on understanding psychological and behavioral factors associated with safe operational practices, particularly in aviation contexts. His work explores areas such as self-assessment bias, risk perception, and crew climate, contributing to the broader understanding of human behavior and safety in complex operational environments. His research reflects an interdisciplinary approach connecting psychology, cognitive processes, and organizational safety.[1]

Abstract

Yingpei Sun is a researcher affiliated with Shaanxi Normal University, China, with research interests spanning psychology, behavioral science, cognition, risk perception, and safety-related human factors. His academic work is particularly relevant to the study of human behavior in complex operational environments, with an emphasis on psychological and organizational factors that may influence safe performance. The available research record identifies work examining self-assessment bias, risk perception, crew climate, and safe operational behavior among airline pilots.[2]

Keywords

Yingpei Sun; Psychology; Behavioral Science; Cognitive Neuroscience; Self-Assessment Bias; Risk Perception; Aviation Psychology; Safe Operational Behavior; Crew Climate; Human Factors.

Introduction

Psychological and behavioral factors play an important role in understanding how individuals perceive risk and respond to safety-related situations. In complex operational environments such as aviation, human judgment, perception, communication, and organizational conditions can influence the way safety-related decisions and behaviors develop. Research in this area therefore combines psychological perspectives with practical questions concerning operational safety and human performance.[2]

Research Profile

The research profile is primarily connected with psychology, behavioral processes, cognition, risk perception, and safety-related human factors. The available indexed publication demonstrates an applied research orientation, addressing psychological and organizational variables in the context of airline pilots’ safe operational behavior.[1]

Research Contributions

Yingpei Sun’s documented research contribution focuses on the relationship between self-assessment bias and safe operational behavior among airline pilots. The study also examines risk perception and crew climate, bringing together individual psychological factors and organizational conditions within a safety-oriented research framework.[5]

Publications

The publication examines the relationship between self-assessment bias and safe operational behavior among airline pilots while considering risk perception and crew climate. The subject places the research within an applied psychological and safety-oriented context, particularly relevant to aviation operations and human factors. The available profile identifies the publication as an article and indicates that it is open access in the displayed Scopus record.[2]

Research Impact

The available Scopus record currently reports one document, zero citations, and an h-index of zero. These indicators describe the bibliometric position shown in the supplied profile and should therefore be interpreted as a snapshot of the available indexed record rather than as a comprehensive assessment of the researcher’s overall academic contribution.[3]

Award Suitability

Yingpei Sun’s documented research is thematically relevant to a researcher recognition category in psychology because it addresses psychological and behavioral factors associated with safe operational behavior. The research topic combines individual-level concepts such as self-assessment and risk perception with the organizational concept of crew climate.[1]

Conclusion

Yingpei Sun is a researcher affiliated with Shaanxi Normal University and associated with the Shaanxi Provincial Key Laboratory of Behavior and Cognitive Neuroscience in Xi’an, China. The available academic profile places the research within psychology and related areas of behavioral and cognitive science.[3]

References

  1. Elsevier. (n.d.). Scopus author details: Sun, Yingpei, Author ID 60603332500. Scopus.
    https://www.scopus.com/pages/authors/60603332500
  2. Sun, Yingpei, Sun, Yingting, Zhang, Xuemin, et al. (2027). Self-assessment bias and airline pilots’ safe operational behavior: The roles of risk perception and crew climate. Safety Science.
    https://doi.org/10.2139/ssrn.6635178

Ramesa Shafi | Biochemistry | Innovative Research Award

Published on | Editorial Board by World Top Scientists

Innovative Research Award

Ramesa Shafi Bhat
King Saud University, Saudi Arabia
Ramesa Shafi Bhat
Affiliation King Saud University
Country Saudi Arabia
Scopus ID 57442927600
Documents 105
Citations 1,896
h-index 25
Subject Area Biochemistry
Event World Top Scientist Awards
ORCID 0000-0003-2149-6239

Ramesa Shafi Bhat is a researcher affiliated with King Saud University in Saudi Arabia, with research interests spanning biochemistry, nanomedicine, and biomarkers. Her academic profile reflects contributions across multiple areas of biomedical and biochemical research, supported by a substantial body of scholarly publications and research activities. [1]

Abstract

This academic recognition profile presents the documented research record of Ramesa Shafi Bhat, affiliated with King Saud University, Saudi Arabia. The profile is centered on biochemistry and related biomedical research areas, with the supplied bibliographic record indicating work involving nanomedicine, biomarkers, oxidative stress, microbiology, cancer biology, nutritional interventions, and experimental models. The available ORCID record also documents a substantial portfolio of scholarly works and research-review activity. [1]

Keywords

Biochemistry; Nanomedicine; Biomarkers; Nanoparticles; Oxidative Stress; Antimicrobial Activity; Cancer Biology; Molecular Biology; Microbiology; Nutritional Science; Gut Microbiota; Biomedical Research.

Introduction

The researcher profile identifies Ramesa Shafi Bhat as an academic researcher at King Saud University in Riyadh, Saudi Arabia. The ORCID record lists biochemistry, nanomedicine, and biomarkers as associated keywords and records King Saud University as the employment affiliation. These details provide the institutional and disciplinary context for evaluating the research portfolio represented in the available scholarly record. [1]

Research Profile

The supplied research profile contains a broad body of publications associated with biochemical and biomedical investigations. Examples include studies of sodium-halide stress in plant systems, fluoride-associated oxidative stress, antimicrobial and antibiofilm activity, nanoparticle-mediated biological effects, and molecular investigations of cancer. The range of topics indicates an interdisciplinary research portfolio connecting biochemical mechanisms with applied biomedical and environmental questions. [5]

Research Contributions

The record also includes biomedical research related to cancer, biomarkers, inflammatory mechanisms, and neurobiological conditions. Examples include research on breast-cancer biomarkers, colorectal-cancer molecular profiles, cancer-cell responses, and experimental models associated with autism-related biochemical changes. These publications illustrate the breadth of the portfolio while remaining grounded in the specific works documented in the researcher record.[1]

Publications

Representative publications include research on copper oxide nanoparticle biosynthesis, sodium fluoride-related cellular effects, nutritional interventions, microbial activity, and molecular biomarkers. The diversity of journals represented in the record reflects publication across biochemistry, pharmacology, microbiology, nutrition, molecular biology, and related biomedical fields. The following references provide directly accessible DOI pathways for selected publications documented in the supplied ORCID record. [3]

Research Impact

The ORCID record provides an additional persistent researcher identifier and documents the association between Ramesa Shafi Bhat, King Saud University, and the scholarly works presented in the profile. It also records peer-review activity across numerous journals, including publications in molecular, microbiological, nutritional, chemical, and biomedical areas. Together, these records provide complementary evidence for assessing research activity and scholarly engagement. [1]

Award Suitability

For consideration under the Innovative Research Award category, the documented portfolio contains several features relevant to a research-recognition assessment, including sustained publication activity, interdisciplinary subject coverage, identifiable DOI-linked publications, and a research profile spanning biochemistry and related biomedical fields. The supplied bibliometric information may also be considered as supporting quantitative evidence, subject to independent verification from the current Scopus record. [1]

Conclusion

Ramesa Shafi Bhat’s documented research profile is associated with King Saud University and the disciplinary area of biochemistry, with additional work extending into nanomedicine, biomarkers, microbiology, cancer research, nutritional science, and experimental biomedical research. The available ORCID record provides a persistent identity record and a substantial publication history, while the supplied bibliometric information identifies a Scopus profile with 105 documents, 1,896 citations, and an h-index of 25. [1]

References

  1. Al-Dbass, A. M., Al-Daihan, S., Alharbi, M. S., & Bhat, R. S. (2026). Biological activities and host-response insights of Ocimum basilicum flower-derived silver nanoparticles. Inorganics, 14(8), 216. DOI: https://doi.org/10.3390/inorganics14080216
  2. Balto, H., Bekhit, M. S., Auda, S. H., Elansary, A., Bhat, R. S., Marraiki, N., & Al-Hadlaq, S. (2024). Synergistic effect of Salvadora persica and chitosan nanoparticles against oropharyngeal microorganisms. Scientific Reports. DOI: https://doi.org/10.1038/s41598-024-63636-1
  3. Bhat, R. S., Alonazi, M., Al-Dbass, A. M., & Al-Daihan, S. (2024). The impact of varying sizes of silver nanoparticles on the induction of cellular damage in Klebsiella pneumoniae involving diverse mechanisms. Green Processing and Synthesis. DOI: https://doi.org/10.1515/GPS-2024-0162
  4. Bhat, R. S., Al-Dbass, A. M., Khayyat, A. I. A., & Al-Daihan, S. (2024). Utilizing biomolecule-rich citrus fruit waste as a medium for the eco-friendly preparation of silver nanoparticles with antimicrobial properties. Inorganics, 12(7), 180. DOI: https://doi.org/10.3390/inorganics12070180
  5. Ahmed, E. A., Bhat, R. S., Shaik, J. P., Alanazi, M., Al Amri, A., Aldbass, A., & Al Daihan, S. (2024). MicroRNA gene expression profile of colorectal cancer in Saudi population. International Journal of Pharmacology. DOI: https://doi.org/10.3923/ijp.2024.149.157

Norhidayah Mohamad | Engineering | Innovative Research Award | 4631

Published on | Editorial Board by World Top Scientists

 

Innovative Research Award

Norhidayah Mohamad  |  Institution: MMU, Malaysia

Norhidayah Mohamad
Affiliation MMU
Country Malaysia
Google Scholar ID KidB914AAAAJ
Documents 28
Citations 60
h-index 4
Subject Area Engineering
Event World Top Scientist Awards
ORCID 0000-0003-1438-4925

Norhidayah Mohamad is a researcher affiliated with MMU in Malaysia whose academic profile is associated with the field of Engineering. This article presents a structured scholarly overview prepared in relation to the Innovative Research Award at the World Top Scientist Awards. The assessment framework considers the supplied research indicators, publication activity, scholarly contributions, citation visibility, and relevance of the research profile to innovation-oriented academic recognition.[1]

Abstract

This academic recognition article provides a neutral overview of Norhidayah Mohamad’s supplied research profile in the context of the Innovative Research Award. The assessment is situated within Engineering and considers scholarly output, citation-based indicators, research dissemination, professional identification, and the broader importance of innovation within engineering scholarship. Rather than treating individual bibliometric values as independent evidence of research quality, the article adopts a contextual approach in which publication activity and measurable scholarly attention are considered together with the nature and relevance of research contributions.[3]

Keywords

Innovative Research; Research Impact; Scholarly Publications; Academic Recognition; Citation Analysis; Bibliometrics; Research Profile; ORCID; Research Innovation; MMU; Malaysia; World Top Scientist Awards.

Introduction

Innovation-oriented engineering research contributes to academic and technological development by examining established problems, evaluating alternative approaches, and communicating findings that can inform subsequent research or practical applications. Within this setting, academic recognition is appropriately based on several forms of evidence rather than on a single quantitative indicator. Publication records document scholarly participation, citation data can indicate subsequent academic attention, and persistent identifiers such as ORCID help distinguish researchers and connect research outputs across scholarly information systems.[2]

Research Profile

Norhidayah Mohamad’s supplied research profile reports 28 scholarly documents, 60 citations, and an h-index of 4, with Engineering identified as the principal subject area. Collectively, these figures describe the scale and recorded visibility of the research portfolio at the time the information was supplied. The h-index combines publication and citation information into a single bibliometric measure; however, responsible interpretation requires awareness that citation accumulation varies according to discipline, database coverage, publication age, document type, and patterns of collaboration.[3]

Research Contributions

Norhidayah Mohamad’s research focuses on engineering applications in manufacturing, process modelling, and optimization. Her published work demonstrates the application of computational methods and machine learning to solve industrial engineering problems. These studies contribute to improving manufacturing efficiency and engineering performance through analytical approaches.[2]

Publications

The available publication record shows active research in manufacturing engineering, machine learning, optimization, and advanced materials. Most recent publications appeared in internationally recognized peer-reviewed journals, reflecting continuous scholarly activity and collaboration with researchers from multiple institutions.[2]

Research Impact

According to the supplied academic profile, Norhidayah Mohamad has published 28 scholarly documents, received approximately 60 citations, and has an h-index of 4. These indicators demonstrate sustained research productivity and continued contribution to engineering scholarship through peer-reviewed publications and collaborative research activities.[1]

Award Suitability

Norhidayah Mohamad’s research profile demonstrates continuous involvement in engineering and manufacturing research through journal publications and collaborative academic work. Her studies include machine learning, manufacturing optimization, thin-film technology, and sustainable engineering applications. These contributions indicate active participation in multidisciplinary engineering research. [2]

Conclusion

Norhidayah Mohamad has established an academic profile centred on engineering research, manufacturing systems, modelling, and industrial applications. Her publications and collaborative research demonstrate continuous scholarly engagement while supporting engineering innovation through analytical and computational approaches. The profile reflects a combination of academic experience, research productivity, and practical engineering knowledge. [1]

External Links

References

  1. Aziz, N. A. A., Aziz, N. H. A., Ghazali, A. K., Mohamad, N., Tobing, S., Auzani, A. S., Hutagaol, D., & Siantar, G. A. L. (2025). Prediction of lift and drag for hydro turbine design using machine learning. Algorithms.

    https://doi.org/10.3390/a19010008
  2. Arifin, N. M., Noor, E. E. M., Mohamad, F., Mohamad, N., & Muzni, N. H. M. (2024). Enhancing the properties of nanostructure TiO₂ thin film via calcination temperature for solar cell application. Energies.

    https://doi.org/10.3390/en17143415
  3. Mohamad, N., Aziz, N. A. A., Ghazali, A. K., & Salleh, M. R. (2024). Improving ammonia emission model of urea fertilizer fluidized bed granulation system using particle swarm optimization for sustainable fertilizer manufacturing practice. Processes.

    https://doi.org/10.3390/pr12051025
  4. Arifin, N. M., Noor, E. E. M., Mohamad, F., & Mohamad, N. (2024). The impact of spinning speed on n-TiO₂/ZnO bilayer thin film fabricated through sol–gel spin-coating method. Coatings.

    https://doi.org/10.3390/coatings14010073

Jatindranath Gain | Physics and Astronomy | Outstanding Scientist Award

Published on | Editorial Board by World Top Scientists

Outstanding Scientist Award

Jatindranath Gain — Derozio Memorial College

Jatindranath Gain
Affiliation Derozio Memorial College
Country India
Google Scholar ID Ss8u6csAAAAJ&hl
Documents 24
Citations 22
h-index 2
Subject Area Physics and Astronomy
Event World Top Scientist Awards
ORCID 0000-0003-2597-6360

Jatindranath Gain is a researcher affiliated with Derozio Memorial College, India, whose academic profile is associated with the subject area of Physics and Astronomy. Available scholarly profile information records 24 documents, 22 citations, and an h-index of 2. These indicators provide a quantitative description of the research record available through the stated academic profile and should be interpreted in the context of disciplinary publication practices, career stage, and database coverage. [1]

Abstract

This article presents an academic recognition profile for Jatindranath Gain of Derozio Memorial College, India, in the field of Physics and Astronomy. The profile summarizes available scholarly identifiers and bibliometric indicators, including 24 recorded documents, 22 citations, and an h-index of 2. It also records the researcher’s ORCID identifier and the stated association with the World Top Scientist Awards. The purpose of the article is to provide a structured and neutral account of the researcher’s academic profile, research activity, publication record, measurable scholarly impact, and relevance to an academic recognition event. Bibliometric indicators are treated as descriptive evidence rather than as definitive measures of research quality, since citation patterns and database coverage vary among disciplines and institutions.[2]

Keywords

Jatindranath Gain; Physics and Astronomy; semiconductor nanostructures; optoelectronic devices; nanophotonics; quantum mechanics; quantum computation; multiple quantum wells; electron tunneling; photonic devices; semiconductor structures; transfer matrix method; aperiodic quantum wells; research publications; academic research; Derozio Memorial College.

Introduction

Academic recognition commonly incorporates several forms of evidence, including scholarly publications, citations, persistent researcher identifiers, institutional affiliation, and disciplinary contribution. In this context, the profile of Jatindranath Gain is situated within Physics and Astronomy and is linked to Derozio Memorial College in India. The available scholarly information indicates an identifiable research record comprising 24 documents and 22 citations, with an h-index of 2. The recognition considered in this article is the World Top Scientist Awards. Award suitability is therefore discussed using the available profile information and documented research indicators, without presenting the recognition as an independently verified assessment of overall scientific standing. The distinction is important because bibliometric measures are only one component of scholarly evaluation..[2]

Research Profile

Jatindranath Gain is affiliated with Derozio Memorial College in India and is associated with the academic subject area of Physics and Astronomy. The supplied profile information identifies 24 documents and 22 citations, together with an h-index of 2. [1] These figures describe the indexed research activity represented by the available profile at the time of compilation and may change as publications receive additional citations or as bibliographic databases update their records.[3]

Research Contributions

The available profile establishes a research presence in Physics and Astronomy, supported by a documented collection of scholarly outputs and associated citation activity. The recorded 24 documents indicate a body of academic work that can be assessed through publication-level information, while the 22 citations provide a measurable indication of subsequent scholarly referencing. [1]

Publications

The supplied research profile reports 24 documents associated with Jatindranath Gain. [1] A complete publication-level bibliography should be compiled directly from the researcher’s authoritative scholarly profiles and individual publication records before specific titles, journals, publication dates, authorship positions, or DOI metadata are attributed to the researcher.

Research Impact

The available bibliometric profile records 22 citations across 24 documents and an h-index of 2. [1] These indicators provide a quantitative description of the visibility of the researcher’s indexed scholarly output. Citation counts, however, are influenced by publication age, disciplinary citation practices, collaboration patterns, database coverage, and the accessibility of individual publications. Consequently, the indicators should be considered alongside qualitative evidence when assessing research impact.

Award Suitability

The stated recognition is associated with the World Top Scientist Awards. The available academic information establishes several characteristics that can be relevant to an academic recognition profile: an institutional affiliation, a defined research subject area, a documented publication record, citation activity, an h-index, and persistent researcher identifiers. These elements provide a factual basis for presenting the researcher within an academic award context.

Conclusion

Jatindranath Gain is an academic researcher affiliated with Derozio Memorial College, India, and associated with Physics and Astronomy. The supplied scholarly profile records 24 documents, 22 citations, and an h-index of 2. These indicators establish a measurable research record while remaining subject to the coverage and updating practices of the relevant scholarly databases.The researcher’s ORCID identifier and Google Scholar profile provide complementary mechanisms for identifying and reviewing scholarly activity. Together with the institutional affiliation and stated research area, these details provide a structured academic profile suitable for documentation in connection with the World Top Scientist Awards. [3]

References

  1. Google Scholar. (n.d.). Jatindranath Gain — Google Scholar profile.https://scholar.google.com/citations?user=Ss8u6csAAAAJ&hl=en
  2. Gain, J., Sharma, S., Karmakar, R., Jiauddin, M., & Chatterjee, S. (2024). Aryabhata’s enduring contributions to astronomy in ancient India: Unveiling the cosmic secrets. International Journal for Multidisciplinary Research, 6(3).https://doi.org/10.36948/ijfmr.2024.v06i03.24020
  3. Chandra, B. R., & Gain, J. (2024). Unleashing innovation in electrical and electronic engineering: The role of new technology in driving progress. Journal of Electrical Systems.https://doi.org/10.52783/jes.3340
  4. Gain, J. (2023). The ultimate reality in the universe: A study on the views of quantum physics and Vedanta philosophy. Studies in Philosophy of Science and Education, 4(3).https://doi.org/10.46627/sipose.v4i3.262
  5. Gain, J., Dassarkar, M., & Kundu, S. (2022). Energy effective mass dependence of electron tunneling through CdS/CdSe, AlxGa1-xAs/GaAs and AlSb/InAs multiple quantum barriers.https://doi.org/10.21917/IJME.2021.0205

Alireza Salehan | Optimization Algorithms | Innovative Research Award

Published on | Editorial Board by World Top Scientists

Innovative Research Award

Alireza Salehan — University Of Torbat Heydarieh

Alireza Salehan
Researcher Alireza Salehan
Affiliation University Of Torbat Heydarieh
Country Iran
Scopus ID 24830684900
Documents 11
Citations 78
h-index 4
Subject Area Optimization Algorithms
Event World Top Scientist Awards
ORCID 0000-0003-0139-5051

The Innovative Research Award recognizes research activity characterized by methodological development, scholarly contribution, and relevance to advancing knowledge within a defined scientific field. This recognition profile presents the academic record of Alireza Salehan, affiliated with the University Of Torbat Heydarieh in Iran, with particular emphasis on Optimization Algorithms. The profile considers the supplied bibliometric indicators and researcher identifiers as documented through established scholarly indexing and identification systems. [1]

Abstract

The Innovative Research Award profile highlights the research activity of Alireza Salehan of the University Of Torbat Heydarieh, Iran, in the subject area of Optimization Algorithms. Based on the supplied academic indexing information, the researcher is associated with 11 scholarly documents, 78 citations, and an h-index of 4. These indicators provide a quantitative overview of documented scholarly visibility and citation-based influence within the indexed research record. The recognition is considered in the context of the World Top Scientist Awards, with emphasis on research activity, scholarly documentation, and relevance to optimization-oriented computational research. [1]

Keywords

Innovative Research Award; Alireza Salehan; Optimization Algorithms; Algorithmic Optimization; Computational Research; Research Impact; Scholarly Metrics; Scopus; ORCID; World Top Scientist Awards

Introduction

Optimization algorithms constitute an important area of computational research concerned with developing systematic methods for identifying effective solutions under specified objectives, constraints, and computational conditions. Such methods have applications across engineering, computer science, operations research, mathematics, data analysis, and decision-support systems. Research in this field commonly addresses issues including computational efficiency, solution quality, convergence behavior, robustness, and the adaptation of algorithms to complex optimization problems. [1]

Research Profile

Alireza Salehan is affiliated with the University Of Torbat Heydarieh, Iran. His research profile is centered on Optimization Algorithms, placing his scholarly work within a computational and methodological domain concerned with the development and application of systematic approaches for solving complex optimization problems. His research interests also connect with areas such as cloud computing, scheduling, recommender systems, game theory, and computational architecture. This profile reflects a broader academic focus on developing effective computational approaches and advancing research in optimization-oriented systems.[2]

Research Contributions

Alireza Salehan’s documented research is centered on Optimization Algorithms and extends into cloud computing, scheduling, recommender systems, game theory, and computational architecture. The available research record demonstrates an interest in developing algorithmic approaches for complex computational environments and resource-management problems. His work includes optimization methods inspired by natural processes, cloud resource allocation, computation offloading, and scheduling mechanisms. These themes collectively reflect a research profile focused on improving computational decision-making, efficiency, adaptability, and system performance. [1] [2]

Publications

The publication record includes scholarly studies addressing optimization algorithms, cloud-based computing, resource allocation, scheduling, and ubiquitous computing environments. Among the documented works is research on the Collaborative Gold Mining Algorithm, which presents an optimization approach inspired by natural gold-mining processes. Another publication examines Corona Virus Optimization as an algorithmic approach inspired by the observed characteristics of a pandemic process. These publications demonstrate continued engagement with the design and exploration of computational optimization methodologies. [3]

Research Impact

The research record demonstrates scholarly engagement with computational optimization and the development of methods intended to address challenging problems in modern information and communication systems. Work involving optimization algorithms contributes to methodological research by exploring alternative strategies for obtaining effective solutions to complex computational problems. Research involving cloud environments and scheduling extends these ideas toward practical systems where resource availability, computational efficiency, and responsiveness are important. The combination of methodological and applied themes contributes to the broader development of optimization-oriented computing research. [4]

Award Suitability

The Innovative Research Award provides a suitable recognition framework for research characterized by methodological development, computational innovation, and sustained scholarly engagement. Alireza Salehan’s documented work demonstrates a consistent connection with Optimization Algorithms and related computational disciplines, including cloud computing, scheduling, resource allocation, and ubiquitous systems. His research portfolio contains studies that investigate novel algorithmic strategies as well as computational mechanisms for improving system operations. These characteristics align with an academic recognition framework emphasizing innovative approaches and meaningful contributions to research. [1] [3]

Conclusion

Alireza Salehan’s research profile reflects sustained scholarly activity in Optimization Algorithms and closely related areas of computational science. His documented works address algorithm design, cloud computing, scheduling, resource allocation, mobile computing, and computational architecture, creating a research portfolio with a clear methodological and systems-oriented character. The available ORCID record supports the identification of these research activities and provides a structured view of his scholarly contributions. Overall, the documented research provides a substantive academic basis for consideration under an innovative research recognition category. [1] [2]

References

  1. ORCID. (n.d.). Alireza Salehan. ORCID.https://orcid.org/0000-0003-0139-5051
  2. Salehan, A., & Javadi, B. (2022). Collaborative Gold Mining Algorithm: An optimization algorithm based on the natural gold mining process. Electronics.https://doi.org/10.3390/electronics11223824
  3. Salehan, A., & Deldari, A. (2022). Corona virus optimization (CVO): A novel optimization algorithm inspired from the Corona virus pandemic. The Journal of Supercomputing.https://doi.org/10.1007/s11227-021-04100-z
  4. Salehan, A., Deldari, H., & Abrishami, S. (2019). An online context-aware mechanism for computation offloading in ubiquitous and mobile cloud environments. The Journal of Supercomputing.https://doi.org/10.1007/s11227-019-02743-7
  5. Salehan, A., Deldari, H., & Abrishami, S. (2019). Performance evaluation of two new lightweight real-time scheduling mechanisms for ubiquitous and mobile computing environments. Arabian Journal for Science and Engineering.https://doi.org/10.1007/s13369-018-3409-6