Innovative Research Award
Prof. Hassan Rashidi — Allameh Tabatab’i University, Iran
| Prof. Hassan Rashidi |
| Affiliation |
Allameh Tabatab’i University |
| Country |
Iran |
| Scopus ID |
25641540600 |
| Documents |
36 |
| Citations |
547 |
| h-index |
10 |
| Subject Area |
Software Engineering |
| Event |
Global CSE Awards |
Prof. Hassan Rashidi is presented for consideration under the Innovative Research Award at the Global CSE Awards, with the supplied profile identifying Allameh Tabatab’i University in Iran and Software Engineering as the subject area. The supplied bibliographic record includes work involving computational scheduling and interdisciplinary scientific research, providing material for academic recognition. [1] [2] [3]
Abstract
This article presents a scholarly recognition profile for Prof. Hassan Rashidi in connection with the Innovative Research Award at the Global CSE Awards. The supplied profile identifies Allameh Tabatab’i University, Iran, and Software Engineering as the institutional and disciplinary context. Bibliographic material supplied for the profile includes research on genetic algorithms for heterogeneous computing task scheduling and interdisciplinary studies involving engineered liver tissue and hepatocyte-like cell function. The publications demonstrate experience spanning computational methods, algorithmic problem solving, experimental modelling, and interdisciplinary research. Available bibliographic records identify Hassan Rashidi as an author on the cited studies, while the supplied Scopus metrics report 36 documents, 547 citations, and an h-index of 10. [1] [2] [3]
Keywords
- Software Engineering
- Genetic Algorithms
- Heterogeneous Computing
- Task Scheduling
- Computational Research
- Interdisciplinary Research
Introduction
Innovative research commonly combines established methods with new approaches to address technical or scientific problems. The supplied record for Prof. Hassan Rashidi includes research addressing computational task scheduling through enhanced genetic algorithms and studies of engineered liver models. These works illustrate methodological diversity and interdisciplinary collaboration across computing, engineering, and biomedical research domains. [1] [2]
Research Profile
The supplied researcher profile associates Prof. Hassan Rashidi with Allameh Tabatab’i University in Iran and identifies Software Engineering as the subject area. The reported Scopus record contains 36 documents, 547 citations, and an h-index of 10. These metrics are reproduced from the supplied profile information and should be interpreted according to the database’s indexing and counting methodology. [1]
Research Contributions
The supplied publications indicate contributions involving algorithmic optimization, heterogeneous computing, task scheduling, cellular modelling, and experimental analysis. The genetic-algorithm study addresses scheduling in heterogeneous computing systems, while the biomedical publications examine liver tissue and hepatocyte-like cell behaviour under defined experimental conditions. Together, these records document technically and scientifically distinct research activities. [1] [2] [3]
Publications
The supplied publication list contains a 2017 Engineering Applications of Artificial Intelligence article on an enhanced genetic algorithm for heterogeneous computing task scheduling, alongside 2018 and 2016 Archives of Toxicology articles concerning three-dimensional human liver tissue and fluid shear stress modulation of hepatocyte-like cell function. The latter studies identify Hassan Rashidi among their authors. [1] [2] [3]
Research Impact
The supplied Scopus metrics report 547 citations and an h-index of 10 across 36 documents, indicating measurable bibliographic visibility within the stated database record. Individual publications also address practical research problems, including computational scheduling and experimental liver modelling. Citation counts and research influence can change over time as databases update their records. [1] [2] [3]
Award Suitability
The supplied record provides several materials relevant to an Innovative Research Award profile, including algorithm development for heterogeneous computing and interdisciplinary scientific publications. The documented work can be reviewed against the award’s published eligibility and evaluation criteria, particularly originality, methodological contribution, publication record, and documented research influence. Final award assessment remains dependent on official evaluation procedures. [1] [2] [3]
Conclusion
Prof. Hassan Rashidi’s supplied profile combines a Software Engineering affiliation with publication evidence covering computational optimization and interdisciplinary biomedical research. The reported Scopus indicators provide a quantitative summary of indexed research activity, while the cited publications provide examples of specific scholarly contributions. These materials collectively support a structured academic profile for consideration by award evaluators. [1] [2] [3]
External Links
References
- Rashidi, H., & colleagues. (2017). An enhanced genetic algorithm with new operators for task scheduling in heterogeneous computing systems. Engineering Applications of Artificial Intelligence, 61, 35–46. Elsevier.
https://www.sciencedirect.com/science/article/abs/pii/S0952197617300441
- Rashidi, H., Luu, N.-T., Alwahsh, S. M., Ginai, M., Alhaque, S., Dong, H., Tomaz, R. A., Vernay, B., Vigneswara, V., Hallett, J. M., Chandrashekran, A., Dhawan, A., Vallier, L., Bradley, M., Callanan, A., Forbes, S. J., Newsome, P. N., & Hay, D. C. (2018). 3D human liver tissue from pluripotent stem cells displays stable phenotype in vitro and supports compromised liver function in vivo. Archives of Toxicology, 92, 3117–3129.
https://link.springer.com/article/10.1007/s00204-018-2280-2
- Rashidi, H., Alhaque, S., Szkolnicka, D., Flint, O., & Hay, D. C. (2016). Fluid shear stress modulation of hepatocyte-like cell function. Archives of Toxicology, 90(7), 1757–1761.
https://doi.org/10.1007/s00204-016-1689-8https://link.springer.com/article/10.1007/s00204-016-1689-8