Mohamed Sallam | Digitalization | Research Excellence Award

Published on by Applied Scientist

Research Excellence Award

Mohamed Sallam

Imam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia

Mohamed Sallam
Affiliation Imam Mohammad Ibn Saud Islamic University (IMSIU)
Country Saudi Arabia
Scopus ID 57208326882
Documents 9
Citations 17
h-index 3
Subject Area Digitalization
Event Applied Scientist Awards
ORCID 0000-0002-8753-6128

Mohamed Sallam has established research activities in digitalization and related information technologies through peer-reviewed publications, international indexing, and scholarly collaboration. His research profile, citation performance, and documented scientific output provide objective indicators supporting academic recognition within the framework of the Applied Scientist Awards. The Research Excellence Award recognizes sustained scholarly contributions that demonstrate measurable academic productivity, research quality, and professional engagement within a specialized discipline. [1][2]

Abstract

Mohamed Sallam has developed an academic profile centered on digitalization, information systems, and technology-enabled innovation. His research output indexed in Scopus demonstrates participation in internationally recognized scholarly communication. Citation metrics, publication quality, and continued engagement with contemporary digital transformation research provide measurable evidence of scientific contribution. These indicators support consideration for the Research Excellence Award, which recognizes researchers whose scholarly activities contribute to the advancement of knowledge through peer-reviewed publications, research dissemination, and academic collaboration.[1][3]

Keywords

Digitalization; Digital Transformation; Information Systems; Emerging Technologies; Research Excellence; Scientific Publications; Applied Research; Innovation; Academic Recognition; Applied Scientist Awards.

Introduction

Digitalization has become a fundamental driver of organizational development, technological innovation, and knowledge creation across multiple sectors. Researchers working within this field contribute to improved digital infrastructures, decision-support methodologies, and technology adoption frameworks. Mohamed Sallam’s scholarly activities reflect participation in these evolving research directions through publications addressing contemporary digital technologies and their practical applications. The international visibility of his research provides a documented foundation for evaluating scientific productivity and research quality.[2][4]

Research Profile

According to publicly available academic indexing services, Mohamed Sallam has authored nine Scopus-indexed publications that have collectively received seventeen citations and produced an h-index of three. These bibliometric indicators demonstrate sustained scholarly engagement and measurable research visibility. His affiliation with Imam Mohammad Ibn Saud Islamic University further reflects participation in institutional research activities supporting scientific advancement and digital innovation.[1][2]

Research Contributions

Research contributions attributed to Mohamed Sallam emphasize digital transformation, technological implementation, and knowledge-based innovation. His published studies contribute to the growing literature addressing digital solutions, information technologies, and practical applications that support organizational effectiveness and technological advancement. Through peer-reviewed dissemination, these works participate in broader academic discussions concerning digitalization and its interdisciplinary significance.[2][5]

Publications

Representative scholarly publications indexed within international databases demonstrate continuing participation in peer-reviewed academic communication. These publications collectively contribute to the measurable research record supporting academic assessment and bibliometric evaluation.[2]

  • Peer-reviewed publications indexed in Scopus.
  • Research focused on digitalization and emerging technologies.
  • Scholarly collaboration contributing to international research visibility.
  • Research articles assigned Digital Object Identifiers (DOIs) where applicable.

Research Impact

Bibliometric indicators including publication count, citation record, and h-index provide objective measures frequently considered during research evaluation. Although quantitative metrics represent only one aspect of scholarly quality, they offer evidence of research dissemination, academic visibility, and engagement by the scientific community. Mohamed Sallam’s indexed publications contribute to ongoing discussions in digitalization and demonstrate measurable research influence within his field.[1][3]

Award Suitability

The Research Excellence Award evaluates scholarly achievement using transparent academic criteria that include publication quality, citation performance, research integrity, and disciplinary contribution. Mohamed Sallam’s documented research profile, institutional affiliation, and internationally indexed scholarly output collectively demonstrate characteristics commonly associated with research excellence. These measurable academic indicators support his suitability for recognition within the Applied Scientist Awards while maintaining an evidence-based and neutral evaluation framework.[1]

Conclusion

Mohamed Sallam has established a documented academic record in digitalization supported by peer-reviewed publications, international indexing, and measurable bibliometric indicators. His scholarly activities contribute to the advancement of knowledge through research dissemination and academic engagement. The available evidence supports recognition of his research accomplishments within the context of the Research Excellence Award and reflects continued participation in the international scientific community.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Mohamed Sallam, Author ID 57208326882. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57208326882
  2. EEME Ahmed Mohamed Kamara, Mohamed A. M. Sallam. (2025). Asymmetric Effects of Exchange Rates and Oil Prices on Inflation in Egypt.
    https://savearchive.zbw.eu/bitstream/11159/710453/1/193299646X_0.pdf
  3. Mohamed A. M. Sallam. (2016). Factors Promoting Economic Growth in Egypt: Evidence from ARDL Approach.
    https://www.researchgate.net/profile/Mohamed-Sallam
  4. Mohamed A. M. Sallam, Tarek Sadraoui. (2025). Oil Shocks and MENA Stock Markets: Nonlinear and Asymmetric Causal Evidence Across Crisis Regimes
    http://jcasc.com/index.php/jcasc/article/view/2610
  5. Mohamed A. M. Sallam, MS Hegazy. (2026). The Role Of Financial Inclusion In Enhancing Egyptian Economic Growth Through Digital Financial Services And Financial Technology.
    https://reference-global.com/article/10.2478/eoik-2026-0016

Ganiyat Salawu | Advanced Technology | Research Excellence Award

Published on by Applied Scientist

Research Excellence Award

Ganiyat Salawu
University of KwaZulu-Natal, South Africa
Ganiyat Salawu
Affiliation University of KwaZulu-Natal
Country South Africa
Scopus ID 57215833868
Documents 9
Citations 20
h-index 3
Subject Area Advanced Technology
Event Applied Scientist Awards
ORCID 0000-0002-7436-6721

Ganiyat Salawu is a researcher and academic affiliated with the University of KwaZulu-Natal, South Africa, with professional expertise in advanced manufacturing systems, disruptive technologies, mechatronics, robotics, renewable energy systems, and intelligent automation. Her scholarly work integrates interdisciplinary approaches in mechanical engineering and advanced technological innovation, particularly in the optimization of manufacturing environments through artificial intelligence, robotics, Internet of Things integration, and sustainable engineering methodologies.[1] Her research contributions have focused on modeling, simulation, optimization, energy systems, and manufacturing productivity enhancement, positioning her work within contemporary discussions surrounding Industry 4.0 and Industry 5.0 technologies.[2]

Abstract

The Research Excellence Award article documents the academic profile, scientific contributions, and professional achievements of Ganiyat Salawu in the field of advanced technology and engineering systems. Her scholarly activities encompass disruptive manufacturing technologies, artificial intelligence integration, robotics, intelligent automation, and renewable energy engineering. Salawu’s research has contributed to the advancement of manufacturing optimization models, smart systems development, and industrial productivity enhancement through data-driven methodologies and intelligent engineering frameworks.[2] Her publication record demonstrates engagement with interdisciplinary engineering research and international scientific collaboration across manufacturing innovation, sustainable systems, and automation technologies.[3]

Keywords

Advanced Manufacturing, Mechatronics, Robotics, Artificial Intelligence, Industry 5.0, Disruptive Technology, Internet of Things, Renewable Energy Systems, Intelligent Automation, Engineering Optimization

Introduction

The rapid transformation of industrial systems through intelligent automation and disruptive technologies has created increased demand for engineering researchers capable of integrating multidisciplinary innovation into manufacturing and technological development. Ganiyat Salawu’s academic work reflects this evolving landscape through research that combines mechanical engineering principles with computational intelligence, robotics, automation systems, and smart manufacturing processes.[3]

Her research trajectory includes contributions to advanced manufacturing environments, optimization of industrial systems, artificial intelligence integration into mechatronic systems, and sustainability-oriented engineering applications.[4]

Research Profile

Ganiyat Salawu obtained a Ph.D. in Mechanical Engineering with specialization in Mechatronics and Robotics from the University of KwaZulu-Natal, South Africa. Her academic background also includes postgraduate and undergraduate engineering qualifications with extensive experience in manufacturing systems, automation, and mechanical engineering applications.[1]

Her professional appointments include service as a Post-Doctoral Fellow at the University of KwaZulu-Natal and Senior Lecturer at The Federal Polytechnic Offa, Nigeria. In these capacities, she has participated in engineering education, project supervision, entrepreneurship development, and industrial innovation activities.[5]

  • Research focus on intelligent manufacturing systems and industrial automation.
  • Investigation of robotics and artificial intelligence integration in manufacturing environments.
  • Application of modeling and simulation techniques for engineering optimization.
  • Research contributions related to renewable energy systems and sustainable engineering.

Research Contributions

Ganiyat Salawu’s research contributions address contemporary engineering challenges involving automation, intelligent manufacturing, robotics optimization, and energy systems integration. Her studies on disruptive technologies and Industry 5.0 frameworks investigate the integration of artificial intelligence and quantum computing into advanced manufacturing processes.[2]

Additional contributions include work on conveyor system optimization, robotic manipulator performance enhancement, Internet of Things-enabled environmental monitoring systems, adaptive neuro-fuzzy inference systems, and photovoltaic energy management applications.[4] These studies collectively contribute toward manufacturing productivity enhancement, system efficiency improvement, and sustainable industrial engineering practices.

  • Research on quantum computing applications in Industry 5.0 manufacturing environments.
  • Integration of artificial intelligence into mechatronic and autonomous systems.
  • Optimization modeling for manufacturing productivity and conveyor systems.
  • Development of IoT-based weather monitoring and smart automation systems.
  • Studies on renewable energy technologies and hybrid energy storage systems.

Publications

Selected publications authored or co-authored by Ganiyat Salawu include peer-reviewed journal articles and conference proceedings related to engineering innovation, disruptive technologies, automation systems, and manufacturing optimization.[3]

  1. Improving the Efficiency of a Conveyor System in an Automated Manufacturing Environment Using a Model-Based Approach. International Journal of Mechanical Engineering and Robotics Research, 2023.
  2. Modeling and Simulation of a Conveyor Belt System for Optimal Productivity. International Journal of Mechanical Engineering and Technology, 2020.

Research Impact

Ganiyat Salawu’s academic work is reflected through contributions to emerging engineering technologies and intelligent manufacturing systems. Her studies support industrial modernization strategies by integrating artificial intelligence, robotics, optimization techniques, and sustainable engineering methodologies into advanced manufacturing processes.[4]

Her publication profile includes research indexed within recognized scientific databases and participation in international conferences focused on engineering systems, automation technologies, and manufacturing innovation.[1] The interdisciplinary nature of her research contributes to broader discussions concerning Industry 4.0 and Industry 5.0 transformation initiatives in engineering and industrial sectors.

Award Suitability

Ganiyat Salawu’s research profile demonstrates alignment with the objectives of the Research Excellence Award through sustained contributions to advanced engineering systems, disruptive technologies, and intelligent manufacturing research. Her interdisciplinary work in automation, robotics, optimization modeling, and artificial intelligence applications illustrates active engagement with contemporary engineering innovation challenges.[5]

Her academic record also reflects involvement in research supervision, engineering education, conference dissemination, and industrially relevant technological development. The combination of scholarly publications, conference participation, applied engineering projects, and recognition for research excellence supports her suitability for professional and academic recognition within advanced technology domains.[6]

Conclusion

Ganiyat Salawu illustrate continued engagement with technological innovation in manufacturing systems, intelligent automation, and sustainable engineering. Her interdisciplinary research portfolio demonstrates relevance to contemporary developments in Industry 5.0, smart manufacturing, robotics, and artificial intelligence applications. Through scholarly publications, conference presentations, supervised projects, and engineering education activities, Salawu has contributed to advancing knowledge within advanced technology and engineering research environments.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Ganiyat Salawu, Author ID 57215833868. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57215833868
  2. Salawu, G. A. (2026). Integrating artificial intelligence into mechatronics: A comprehensive study on system performance, autonomy, and manufacturing efficiency. Technologies, 14(3), 143.
    https://doi.org/10.3390/technologies14030143
  3. Salawu, G. A. (2025). Exploring the integration of IoT and robotics in manufacturing: Scoping review of disruptive technology. Technologies, 13(12), 566.
    https://doi.org/10.3390/technologies13120566
  4. Salawu, G. A., & Bright, G. (2025). Optimization control design and simulation of furnace-fired boiler exit pressure: Leveraging disruptive technology. IAES International Journal of Artificial Intelligence.
    https://doi.org/10.11591/ijai.v14.i4.pp2979-2990
  5. Salawu Ganiyat, Iyanda Rukayat Afolake. (2020). Design of a portable solar powered solar incubator.
    https://www.researchgate.net
  6. Salawu, Bright, G. (2026). Quantum Computing as a Disruptive Technology: Implications for Advanced Manufacturing and Industry 5.0.
    https://www.mdpi.com/2076-3417/16/10/4856