Alhassan Ali Mohammad
Alhassan Ali Mohammad
Federal University Gashua, Nigeria
Alhassan Ali Mohammad is a researcher affiliated with Federal University Gashua, Nigeria, whose supplied publication record covers phytochemical investigation, computational screening, environmental biotechnology and information security. These topics connect biological research with analytical methods and applied scientific challenges. This profile presents the available publication information in the context of the Best Researcher Award associated with the International Forensic Scientist Awards. Bibliographic details and researcher metrics should be verified against their original sources before being used for formal evaluation. [1]
Abstract
This research profile summarizes four supplied works spanning computational investigation of plant-derived compounds, phytochemical characterization, environmental biotechnology and multimedia data protection. The listed studies and chapter indicate an interdisciplinary range of scientific interests. A machine learning-guided investigation of Anacardium occidentale phytochemicals against cobra venom phospholipase A₂ represents a computationally oriented biological research topic. Other listed work addresses chemical profiling and sustainable approaches to pollution control. These publications provide a basis for describing research themes, but independent evidence of experimental validation, citation impact and individual contribution is needed for a complete assessment. [2]
Keywords
Phytochemicals; machine learning; phospholipase A₂; GC-MS profiling; environmental biotechnology; pollution control; multimedia security; biochemistry; molecular biology; interdisciplinary research.
Introduction
Interdisciplinary research can combine computational tools, chemical analysis and biological interpretation to investigate complex scientific problems. Plant-derived compounds are of interest in biochemical research, while analytical profiling can help characterize the chemical constituents of botanical materials. Environmental biotechnology offers complementary approaches to pollution management and sustainable development. Evaluating this work requires attention to publication quality, transparent methodology, reproducibility and the distinction between preliminary computational predictions and experimentally demonstrated outcomes. [3]
Research Profile
The supplied records identify several areas of inquiry. Computational screening connects machine learning with the assessment of phytochemicals, while gas chromatography–mass spectrometry (GC-MS) profiling provides an analytical framework for examining extract composition. Environmental biotechnology broadens the subject range toward pollution control and sustainable development. A separate book chapter on multimedia data protection addresses challenges in securing digital information. The available information supports a description of varied research interests but does not establish the precise methods, author contributions or validation results for every work.
Research Contributions
- Computational biochemistry: The listed venom-related study explores machine learning-guided screening of compounds derived from cashew (Anacardium occidentale). Computational findings should be interpreted as preliminary until supported by appropriate validation. [2]
- Analytical chemistry: The GC-MS study concerns phytochemical screening of cashew stem bark extract, a topic relevant to identifying and characterizing chemical constituents. [3]
- Environmental applications: The biotechnology review addresses pollution control and sustainable development. [4]
- Information security: The book chapter considers challenges associated with protecting multimedia data. [5]
Publications
- “Machine Learning-Guided Screening of Anacardium occidentale Phytochemicals against Cobra Venom Phospholipase A₂.” In Silico Research in Biomedicine (2026).
- “Comparative Phytochemical Screening and GC-MS Profiling of the n-Hexane Stem Bark Extract of Anacardium occidentale L.” (2026).
- “Challenges in Protecting Multimedia Data.” In Coding Theory, Cryptography, and Finite Fields (2026).
- “Advanced Environmental Biotechnology for Pollution Control and Sustainable Development: A Review.” Journal of Science Research and Reviews (2026).
Research Impact
The listed work addresses topics with potential relevance to biochemical investigation, analytical characterization, environmental sustainability and digital security. However, the available details do not provide verified citation totals, an h-index, journal impact measures or independent evidence of downstream application. The supplied Scopus author identifier and ORCID provide starting points for checking identity and bibliographic records. Research influence should be assessed using verified metrics alongside methodological quality, reproducibility and documented contributions rather than publication titles alone. [1]
Award Suitability
The supplied publication record offers a basis for considering Mohammad for recognition under the Best Researcher Award category of the International Forensic Scientist Awards. Relevant assessment dimensions include originality, methodological rigor, publication quality, reproducibility and contribution to the stated research fields. A fair decision should also verify authorship, affiliation, publication status and independent indicators of scholarly impact. The information presented here describes potential areas of merit and should not be interpreted as an independently verified award decision.
Conclusion
Alhassan Ali Mohammad’s supplied publication details span computational phytochemical screening, chemical profiling, environmental biotechnology and multimedia protection. These themes illustrate a broad set of research interests across biological and applied scientific questions. Further verification of the bibliographic record, citation indicators and individual contributions would strengthen any formal evaluation of research excellence. The profile provides a concise academic overview for recognition-related presentation while distinguishing documented publication details from impact claims requiring additional evidence.
External Links
References
- Elsevier. (n.d.). Scopus author details: Alhassan Ali Mohammad, Author ID 60697252800. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=60697252800
- “Machine Learning-Guided Screening of Anacardium occidentale Phytochemicals against Cobra Venom Phospholipase A₂.” (2026). In Silico Research in Biomedicine.
https://doi.org/10.1016/j.insi.2026.100663
- “Comparative Phytochemical Screening and GC-MS Profiling of the n-Hexane Stem Bark Extract of Anacardium occidentale L.” (2026).
https://doi.org/10.55639/607.020100144
- “Advanced Environmental Biotechnology for Pollution Control and Sustainable Development: A Review.” (2026). Journal of Science Research and Reviews.
https://doi.org/10.70882/josrar.2026.v3i1.140
- “Challenges in Protecting Multimedia Data.” (2026). In Coding Theory, Cryptography, and Finite Fields.
https://doi.org/10.1201/9781003641650-4
- ORCID. (n.d.). Alhassan Ali Mohammad researcher identifier.
https://orcid.org/0009-0006-2054-869X
