Salman Khan | Computer Science | Best Researcher Award

Best Researcher Award

Salman Khan
King Saud University, Saudi Arabia

Salman Khan
Affiliation King Saud University
Country Saudi Arabia
Scopus ID 57204809479
Documents 53
Citations 1463
h-index 25
Subject Area Computer Science
Event Environmental Scientists
ORCID 0000-0002-2905-1755

Salman Khan recognizes researchers who demonstrate consistent scholarly productivity, impactful publications, and meaningful contributions to scientific advancement. Salman Khan has established an active research profile in computer science through peer-reviewed publications, collaborative research, and measurable citation impact, reflecting continued engagement with internationally recognized academic research.[1]

Abstract

Salman Khan’s scholarly work reflects sustained contributions to computer science through peer-reviewed research, interdisciplinary collaboration, and scientific dissemination. His publication record and citation performance demonstrate recognized academic influence within international research communities.[2]

Keywords

Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Research Impact, Scholarly Publications, Academic Recognition.

Introduction

Academic recognition highlights sustained excellence in research quality, innovation, and scientific contribution. The Best Researcher Award acknowledges researchers whose work advances knowledge while supporting collaboration and scholarly development.[3]

Research Profile

Affiliated with King Saud University, Salman Khan has produced 53 indexed publications with more than 1,400 citations and an h-index of 25. His research reflects consistent scientific productivity and international academic visibility.[1]

Research Contributions

His studies contribute to the advancement of computer science through innovative methodologies, collaborative investigations, and publication in recognized scholarly journals. These efforts support both theoretical understanding and practical technological applications.[4]

Publications

The research portfolio includes articles published in internationally indexed journals with DOI registration, demonstrating adherence to established scholarly publishing standards. These publications have contributed to ongoing developments across computer science research.[5]

Research Impact

Citation metrics and collaborative publications indicate that Salman Khan’s work has achieved measurable scholarly influence. His research continues to support knowledge exchange and future investigations within the broader scientific community.[2]

Award Suitability

The demonstrated publication record, citation performance, research quality, and international academic engagement align with the evaluation criteria commonly associated with the Best Researcher Award. These achievements represent sustained scholarly excellence and professional research contributions.

Conclusion

Salman Khan’s academic profile illustrates continuous commitment to research, collaboration, and scientific advancement in computer science. His documented scholarly achievements provide a strong foundation for recognition through the Best Researcher Award.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Salman Khan, Author ID 57204809479. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57204809479
  2. ORCID. (n.d.). ORCID record: Salman Khan.
    https://orcid.org/0000-0002-2905-1755
  3. Uddin, I., Noor, S., Ali, Y. A., Khan, S., & Al-Razgan, M. (2026). A hybrid deep learning framework for accurate N6,2′-O-dimethyladenosine site prediction. Biophysical Chemistry.
    https://pubmed.ncbi.nlm.nih.gov/42054815/
  4. Khan, S. (2026). Biochemical biomarker-driven deep learning framework with SHAP-based feature interpretation for diabetes classification. Biophysical Chemistry.
    https://pubmed.ncbi.nlm.nih.gov/41935405/
  5. Khan, S., Dilshad, N., Ahmad, N., & AlQahtani, S. A. (2026). Enhancing security information and event management with W2V-BERT-based real-time threat detection. Scientific Reports.

Alexandra Bousia | Computer Science | Best Researcher Award

Best Researcher Award

Alexandra Bousia
Affiliation University of Thessaly
Country Greece
Scopus ID 55508303200
Documents 17
Citations 462
h-index 9
Subject Area Computer Science
Event International Environmental Scientists Award
ORCID 0000-0002-0292-6187

Alexandra Bousia
University of Thessaly

Alexandra Bousia is a researcher affiliated with the University of Thessaly, Greece, whose scholarly work contributes to the evolving fields of computer science, business intelligence, analytics, energy informatics, and electric vehicle systems. Her research portfolio demonstrates an interdisciplinary approach that integrates computational methodologies, intelligent decision-support systems, energy trading mechanisms, and sustainable transportation technologies. Through publications focused on electric vehicle charging, auction-based energy trading, and business intelligence applications, Alexandra Bousia has contributed to discussions surrounding digital transformation and energy optimization in modern technological environments.[1]

Abstract

This article presents a scholarly overview of Alexandra Bousia and her research achievements in computer science and energy-related information systems. Her work addresses contemporary challenges in electric vehicle ecosystems, intelligent analytics, auction-based energy markets, and computational optimization. Through peer-reviewed publications and interdisciplinary research initiatives, she has explored practical and theoretical frameworks that support efficient energy management and sustainable mobility solutions.[2]

Keywords

Computer Science, Business Intelligence, Electric Vehicles, Energy Trading, Data Analytics, Smart Mobility, Decision Support Systems, Sustainable Transportation.

Introduction

The integration of intelligent information systems with sustainable energy technologies has become a significant area of academic inquiry. Alexandra Bousia’s research contributes to this domain by examining how business intelligence and analytical methodologies can enhance the efficiency of electric vehicle infrastructure and energy distribution systems. Her publications reflect growing interest in data-driven approaches to environmental and technological challenges.[3]

Research Profile

Alexandra Bousia’s academic profile highlights expertise in business intelligence, energy informatics, computational modeling, and electric vehicle technologies. Her research activity includes the development of analytical frameworks for charging infrastructure, auction mechanisms for energy exchange, and intelligent optimization methods for wireless and vehicular networks. Her publication record demonstrates sustained engagement with emerging technological applications in sustainable systems.[4]

Research Contributions

  • Investigation of business intelligence applications in electric vehicle technologies.
  • Development of energy trading models utilizing auction-based mechanisms.
  • Research on efficient charging management systems and decision-support tools.
  • Contributions to wireless network optimization and energy-efficient resource allocation.

Publications

  • The Use of Business Intelligence and Analytics in Electric Vehicle Technology: A Comprehensive Survey.
  • Electric Vehicle Charging: A Business Intelligence Model.
  • An Auction Pricing Model for Energy Trading in Electric Vehicle Networks.
  • Double Auction Offloading for Energy and Cost Efficient Wireless Networks.
  • Electric Vehicles Charging: A Business Intelligence Model

Research Impact

With documented scholarly output, citation activity, and an established Scopus profile, Alexandra Bousia has contributed to knowledge development in intelligent transportation and energy analytics. Her work supports ongoing research into sustainable mobility systems and demonstrates the practical value of integrating analytical technologies with modern energy infrastructures.[5]

Award Suitability

Alexandra Bousia’s research profile aligns with the objectives of the International Environmental Scientists Award through her emphasis on sustainable transportation, intelligent energy systems, and environmentally conscious technological innovation. Her interdisciplinary contributions illustrate how computer science methodologies can address real-world sustainability challenges while advancing scientific understanding and practical implementation.[6]

Conclusion

Alexandra Bousia represents a contemporary researcher whose work bridges computer science, analytics, and sustainable energy applications. Through studies focused on electric vehicle technologies, business intelligence, and energy trading systems, she has contributed to emerging discussions on digital innovation and environmental sustainability. Her scholarly record supports recognition within academic and professional communities dedicated to advancing sustainable technological development.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Alexandra Bousia, Author ID 55508303200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55508303200
  2. Bousia, A. (2026). The Use of Business Intelligence and Analytics in Electric Vehicle Technology: A Comprehensive Survey.
    DOI: https://doi.org/10.3390/electronics15020366
  3. Bousia, A. (2025). Electric Vehicle Charging: A Business Intelligence Model.
    DOI: https://doi.org/10.3390/wevj16090531
  4. Bousia, A. (2023). An Auction Pricing Model for Energy Trading in Electric Vehicle Networks.
    DOI: https://doi.org/10.3390/electronics12143068
  5. Bousia, A. (2022). Double Auction Offloading for Energy and Cost Efficient Wireless Networks.
    DOI: https://doi.org/10.3390/math10224231
  6. MDPI Preprints. (2025). Electric Vehicles Charging: A Business Intelligence Model.