Fareeha Anwar | Computer Science | Best Researcher Award

Best Researcher Award

Fareeha Anwar
Imam Mohammad Ibn Saud Islamic University, Saudi Arabia

Fareeha Anwar
Affiliation Imam Mohammad Ibn Saud Islamic University
Country Saudi Arabia
Scopus ID 36197820200
Documents 5
Citations 145
h-index 5
Subject Area Computer Science
Event Environmental Scientists
ORCID 0000-0002-6993-7761

Fareeha Anwar is a researcher affiliated with Imam Mohammad Ibn Saud Islamic University whose scholarly work contributes to the field of Computer Science. Her publication record, citation profile, and international research visibility demonstrate continuing academic engagement and provide a foundation for professional recognition within multidisciplinary scientific communities. reflecting a commitment to solving complex real-world challenges through innovative technologies. Her publication record, citation profile, and international research visibility demonstrate sustained academic engagement and an active contribution to multidisciplinary scientific research.[1]

Abstract

This article summarizes the academic profile of Fareeha Anwar and highlights her research achievements, scholarly publications, and citation performance. The profile reflects measurable scientific activity in Computer Science and recognizes contributions through internationally indexed research outputs.[2]

Keywords

Computer Science, Artificial Intelligence, Academic Research, Scopus, Scholarly Publications, Citation Analysis, Research Excellence, Best Researcher Award.

Introduction

Academic excellence is evaluated through research quality, publication impact, and continued scholarly engagement. International indexing services provide transparent indicators that support the recognition of researchers across scientific disciplines.[1]

Research Profile

Fareeha Anwar has established a research profile supported by indexed publications and growing citation metrics. Her academic activities demonstrate sustained participation in Computer Science research while contributing to collaborative scientific advancement.[3]

Research Contributions

Her publications address contemporary computational topics and reflect an emphasis on knowledge development within Computer Science. These contributions support the dissemination of research findings through peer-reviewed scholarly communication.[4]

Publications

The available publication record includes five Scopus-indexed documents with accumulated citations that demonstrate academic visibility. Persistent citation activity indicates continued relevance and accessibility within the international research community.[1]

Research Impact

With 145 citations and an h-index of 5, the available bibliometric indicators suggest measurable research influence. These metrics provide objective evidence of scholarly recognition and support broader academic evaluation processes.[2]

Award Suitability

Based on her documented publication history, citation performance, and institutional affiliation, Fareeha Anwar demonstrates characteristics commonly considered during research excellence evaluations. These achievements align with the objectives of the Environmental Scientists Best Researcher Award program.[5]

Conclusion

Fareeha Anwar’s academic profile reflects continued scholarly productivity and measurable research impact within Computer Science. Her documented achievements represent a solid foundation for academic recognition and future research development.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Fareeha Anwar, Author ID 36197820200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=36197820200
  2. ORCID. (n.d.). Fareeha Anwar ORCID Record.
    https://orcid.org/0000-0002-6993-7761
  3. Google Scholar. (n.d.). Fareeha Anwar Citation Profile.
    https://scholar.google.com/citations?hl=en&user=7zlArcAAAAAJ
  4. Abdullah, S., Anwar, F., & Fatima, M. (2026). Spiking neural networks for real-time mapping of EBV-infected B cells in neuroinflammatory lesions. Annals of Medicine & Surgery. Advance online publication.
    https://doi.org/10.1097/MS9.0000000000005088
  5. Mohammad, U. G., Imtiaz, S., Shakya, M., Almadhor, A., & Anwar, F. (2022). An optimized feature selection method using ensemble classifiers in software defect prediction for healthcare systems. Wireless Communications and Mobile Computing, 2022, Article 1028175
    https://onlinelibrary.wiley.com/doi/10.1155/2022/1028175

Mika Yasuoka | Computer | Best Researcher Award

Dr. Mika Yasuoka | Computer | Best Researcher Award

Associate Professor, Roskilde University, Denmark

Dr. Mika Yasuoka Jensen πŸ‡―πŸ‡΅πŸ‡©πŸ‡° is an Associate Professor of Sustainable Digitalization at Roskilde University, Denmark. With a multicultural background and deep expertise in computer science, informatics, and interaction design, she bridges Japanese, American, and Danish academic traditions. Passionate about co-creation, digital welfare, and Living Labs, Dr. Yasuoka leads global collaborations with universities, public institutions, and tech corporations to shape sustainable digital futures. Her leadership in participatory design, social innovation, and smart city initiatives has made her a prominent voice in advancing technology for societal benefit. πŸŒπŸ’»

Profile

Google Scholar

Education πŸŽ“

Dr. Yasuoka’s academic journey is a blend of prestigious institutions across three continents. She earned her Ph.D. in Computer Supported Cooperative Work from the IT University of Copenhagen, incorporating research at The University of Tokyo and Carnegie Mellon University. Prior to this, she completed an M.Sc. in Informatics from Kyoto University and a B.Sc. in Library and Information Science from Keio University. Her academic enrichment also includes an exchange program and visiting researcher positions at Carnegie Mellon University in the U.S. πŸŽ“πŸ“˜πŸŒ

Experience πŸ’Ό

Dr. Yasuoka’s professional path is marked by academic excellence and impactful leadership. Since 2020, she has been serving as Associate Professor at Roskilde University. She has held roles at institutions including the IT University of Copenhagen, Keio University, and Technical University of Denmark. She has led numerous cross-sectoral projects, blending stakeholder engagement and digital design across borders. Her strategic advisory roles include working with municipalities and government digital agencies in Japan. πŸ«πŸŒπŸ‘©β€πŸ«

Research Interest πŸ”

Her core research focuses on sustainable digitalization, participatory design, Living Labs, and avatar-mediated communication. She investigates how digital technologies can be co-designed and responsibly integrated into societies to enhance well-being. With a special interest in smart cities, welfare technologies, and design frameworks, Dr. Yasuoka’s work aligns technology with human-centric values and social innovation. πŸ€–πŸ™οΈπŸ‘₯

Awards πŸ†

Dr. Yasuoka has received multiple accolades for her innovative contributions. These include the 11th Nextcom Paper Award (2022) for advancing e-government strategy, the 12th KDDI Foundation Book Publishing Grant (2022), and a Best Paper Finalist at IEEE ARSO 2021. She also earned the Human Interface Society Award (2021) for her analysis of stakeholder involvement in welfare technology assessment. πŸ†πŸ“šβœ¨

Publications πŸ“„

Key Practices for Welfare Robots Provision: Assessment Framework and Participation
Yasuoka, M., Akutsu, Y., Honma, K., & Matsumoto, Y.
IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), 2021.
πŸ”— IEEE Xplore Link
Cited by researchers in robotics and social care design.

How Remote-Controlled Avatars Are Accepted in Hybrid Workplace
Yasuoka, M., Miyata, T., Nakatani, M., Taoka, Y., & Hamaguchi, N.
In: Distributed, Ambient and Pervasive Interactions, Lecture Notes in Computer Science, vol. 14036, Springer, Cham, 2023.
πŸ”— Springer Link
Referenced in studies on telepresence and future work environments.

Not Just Power: Exploring Transitions as Fluidity and Relationality in Participatory Design
Yasuoka, M., & Kibi, Y.
Participatory Design Conference 2024, Vol. 2: Exploratory Papers and Workshops.
πŸ”— ACM Link
Cited in participatory design and relational theory literature.

Reflection on Digital Cities
Yasuoka, M., & Ishida, T.
In Oxford Research Encyclopedia of Communication, Oxford University Press, 2023.
Used in urban digital studies and smart city curricula.

Conclusion

Dr. Mika Yasuoka Jensen is highly suitable for the Best Researcher Award. Her cross-cultural expertise, commitment to societal impact through digitalization, leadership in international projects, and award-winning research achievements make her a standout candidate. Minor enhancements in research metrics and journal profile would further strengthen her already impressive credentials.