Innovative Research Award
Peres Ofori, Hong Kong Polytechnic University
| Peres Ofori |
| Affiliation |
Hong Kong Polytechnic University |
| Country |
Hong Kong |
| Scopus ID |
57221778720 |
| Documents |
6 |
| Citations |
22 |
| h-index |
2 |
| Subject Area |
Smart Computing Technology |
| Event |
World Neuroscientists Awards |
| ORCID |
0009-0007-0345-9991 |
Peres Ofori is presented in this academic recognition profile in connection with the Innovative Research Award and the subject area of Smart Computing Technology. The available researcher identifiers associate the profile with Hong Kong Polytechnic University and provide persistent identification through Scopus Author ID 57221778720 and ORCID 0009-0007-0345-9991. [1] [2]
Abstract
This article provides an academic recognition profile for Peres Ofori in relation to the Innovative Research Award. The profile identifies Smart Computing Technology as the principal subject area supplied for the award nomination and records the researcher’s institutional affiliation with Hong Kong Polytechnic University. Persistent researcher identifiers, including the Scopus Author ID and ORCID identifier, provide mechanisms for distinguishing the researcher’s scholarly record from those of other authors. [1] [2]
The recognition is considered within the broader context of contemporary computing research, where intelligent systems, data-driven methods, connected technologies, and computational infrastructure increasingly intersect across academic and applied domains. The information presented here is limited to the supplied researcher identifiers, affiliation, subject area, and award context; bibliometric figures that can change over time are therefore not stated as fixed values unless independently verified.
Keywords
Smart Computing Technology, Peres Ofori, Hong Kong Polytechnic University, academic research, computational intelligence, intelligent systems, digital technologies, research innovation, scholarly impact, research profile, Scopus, ORCID.
Introduction
Smart computing encompasses research and development involving computational methods that support intelligent analysis, automation, connectivity, data processing, and adaptive technological systems. Its interdisciplinary character enables researchers to address problems that may involve computer science, information systems, engineering, data analytics, artificial intelligence, and other related fields.
Within this context, an academic award profile should distinguish documented research information from interpretive assessment. Author identifiers such as Scopus Author ID and ORCID are particularly useful for scholarly attribution because they provide persistent references to an individual researcher and can assist in connecting publications, affiliations, and research activities. [1] [2]
Peres Ofori is associated in the supplied information with Hong Kong Polytechnic University and the subject area Smart Computing Technology. The award context specified for this profile is the World Neuroscientists Awards, while the award title supplied for the recognition is Innovative Research Award.
Research Profile
The research profile is anchored by two persistent identifiers. The Scopus Author ID supplied for Peres Ofori is 57221778720, while the supplied ORCID identifier is 0009-0007-0345-9991. These identifiers can be used to examine the researcher’s scholarly record and to support accurate attribution across research information systems. [1] [2]
The stated institutional affiliation is Hong Kong Polytechnic University. The subject-area designation supplied for the profile is Smart Computing Technology. Because scholarly affiliations and bibliometric indicators may change, the current Scopus record should be consulted for the latest publication, citation, and h-index information rather than treating these fields as permanent attributes.
For academic evaluation, a researcher profile is generally best interpreted through a combination of publication quality, research relevance, methodological contribution, scholarly visibility, collaboration, and demonstrable influence. Bibliometric indicators may provide useful quantitative context but should be considered alongside the substance and significance of the underlying research.
Research Contributions
The supplied subject-area classification places the profile within Smart Computing Technology. In an academic assessment, contributions in this field may be examined through the development, application, evaluation, or integration of computational techniques designed to improve the processing and interpretation of information or to enable intelligent technological functions.
A balanced assessment of research contributions may consider the following dimensions:
- Development or application of computational methods addressing defined technical or scientific problems.
- Integration of intelligent computing approaches with data, software, systems, or digital infrastructure.
- Publication of research findings through recognized scholarly channels and indexing services.
- Potential contribution to interdisciplinary research where computing technologies intersect with other academic domains.
- Creation of knowledge that can be evaluated through reproducibility, methodological rigor, scholarly discussion, and subsequent research use.
These dimensions provide an evaluation framework rather than claims about specific unpublished or unverified achievements. Detailed contribution statements should be cross-checked against the researcher’s publications and verified academic record.
Publications
The supplied Scopus Author ID provides a direct route for reviewing the researcher’s indexed scholarly output. The number of documents and associated citation indicators can change as Scopus records are updated, indexed, corrected, or linked to an author profile. Accordingly, this article does not assign an unverified fixed publication count or citation total. [1]
For publication-level assessment, relevant evidence may include peer-reviewed journal articles, conference papers, reviews, book chapters, and other scholarly outputs appearing in recognized databases. Particular attention can be given to publication venue, methodological quality, citation context, research collaboration, and relevance to Smart Computing Technology.
For background on persistent scholarly identification and author disambiguation, ORCID provides an independent identifier system designed to distinguish researchers and connect them with their contributions. [2]
Research Impact
Research impact can be assessed through several complementary indicators rather than a single numerical measure. Citation counts and h-index values can provide quantitative evidence of scholarly visibility, while qualitative evidence may demonstrate how research methods, findings, systems, or ideas contribute to subsequent academic work or practical applications.
For the present profile, the supplied Scopus identifier provides a verifiable starting point for reviewing bibliometric information. The current citation count, document count, and h-index should be taken directly from the live Scopus author record because these measures are dynamic. [1]
In the context of Smart Computing Technology, potential impact may also be considered through the relevance of computational research to emerging digital systems, intelligent applications, data-centric decision processes, and interdisciplinary technological development. Such impact should be established from documented evidence rather than inferred solely from an award nomination.
Award Suitability
The Innovative Research Award designation is aligned in this profile with the supplied subject area of Smart Computing Technology. Award suitability can be evaluated through the relationship between the nominee’s documented research activities, originality of scholarly work, relevance to the stated field, publication record, and evidence of broader academic contribution.
The profile provides several objective identifiers for evaluation: the researcher name, institutional affiliation, Scopus Author ID, ORCID identifier, subject area, and award context. These details enable reviewers to distinguish the researcher from similarly named individuals and to investigate the underlying scholarly record. [1] [2]
A rigorous award assessment should nevertheless be based on independently verifiable research evidence, including relevant publications, documented innovation, scholarly reception, and other criteria established by the awarding organization. The award website supplied for this profile is available for further information concerning the World Neuroscientists Awards.
Conclusion
Peres Ofori is presented in this profile as a researcher affiliated with Hong Kong Polytechnic University and associated with the subject area Smart Computing Technology. The supplied Scopus and ORCID identifiers provide persistent mechanisms for locating and verifying the researcher’s scholarly identity. [1] [2]
The Innovative Research Award profile provides an academic framework for considering research activity, publication evidence, scholarly impact, and relevance to the stated field. Because bibliometric records are dynamic, current publication, citation, and h-index information should be confirmed through the researcher’s live Scopus profile before formal publication or award documentation.
External Links
References
- Elsevier. (n.d.). Scopus author details: Peres Ofori, Author ID 57221778720. Scopus.
https://www.scopus.com/pages/authors/57221778720
- ORCID. (n.d.). ORCID record: Peres Ofori, ORCID iD 0009-0007-0345-9991. ORCID.