Solar PV at Renewable Energy Development Center, Algeria.
Dr. Elouahab Bouguenna is a distinguished researcher and academician specializing in nanomedicine, nanotechnology, and advanced healthcare solutions. With extensive experience in scientific research and innovation, he has made significant contributions to the field through numerous publications, patents, and collaborations. His work integrates cutting-edge nanotechnology with biomedical applications, aiming to revolutionize medical diagnostics and therapeutic interventions.
Professional Profile:
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Education Background
Dr. Bouguenna holds a strong academic background in scientific research and nanotechnology. He earned his Ph.D. Prior to that, he completed his Master’s Degree, gaining expertise in advanced materials and biomedical applications. His academic journey began with a Bachelor’s Degree, laying a strong foundation in nanotechnology, medical sciences, and research methodologies. His educational credentials have provided him with the knowledge and technical skills to contribute significantly to the field of nanomedicine.
Professional Development
Dr. Bouguenna has held prominent academic and research positions in leading institutions, contributing to advancements in nanomedicine and medical technology. His expertise spans interdisciplinary research, including targeted drug delivery, biosensors, and nanomaterials for therapeutic applications. He actively collaborates with global researchers and institutions to develop innovative solutions for healthcare challenges.
Research Focus
- Nanomedicine and targeted drug delivery
- Biomedical nanotechnology
- Advanced materials for diagnostics and therapeutics
- Smart nanocarriers for personalized medicine
- Nano-biosensors for disease detection
Author Metrics:
Dr. Bouguenna’s research impact is well-documented through his publication record and citations. His Google Scholar profile (Google Scholar Profile) showcases a substantial number of citations, reflecting the significance of his contributions to the scientific community. His Scopus Author ID (Scopus Profile) highlights his indexed publications and collaborations across multiple disciplines. Additionally, his ORCID profile (ORCID Profile) consolidates his research identity, linking his work across various academic databases. With a growing h-index and increasing citation count, Dr. Bouguenna continues to influence the fields of nanomedicine and biomedical engineering through high-impact publications and innovative research.
Publication Top Notes
1. Parameter Estimation of ECM Model for Li-Ion Battery Using the Weighted Mean of Vectors Algorithm
- Authors: W. Merrouche, B. Lekouaghet, E. Bouguenna, Y. Himeur
- Journal: Journal of Energy Storage, Volume 76, Article 109891
- Year: 2024
- Citations: 29
- Summary: This study presents an advanced Weighted Mean of Vectors (WMV) algorithm to estimate unknown parameters of the Equivalent Circuit Model (ECM) of Li-Ion batteries, improving accuracy and efficiency in battery modeling.
2. Identifying the Unknown Parameters of Equivalent Circuit Model for Li-Ion Battery Using Rao-1 Algorithm
- Authors: B. Lekouaghet, W. Merrouche, E. Bouguenna, Y. Himeur
- Journal: Engineering Proceedings, Volume 56 (1), Article 228
- Year: 2023
- Citations: 9
- Summary: This paper explores the Rao-1 algorithm as an optimization method for accurately estimating the parameters of Li-Ion battery ECM models, enhancing performance prediction and reliability.
3. Artificial Search Algorithm for Parameters Optimization of Li-Ion Battery Electrical Model
- Authors: W. Merrouche, B. Lekouaghet, E. Bouguenna
- Conference: 2023 International Conference on Decision Aid Sciences and Applications (DASA)
- Year: 2023
- Citations: 6
- Summary: The research introduces a novel Artificial Search Algorithm (ASA) for optimizing the electrical parameters of Li-Ion battery models, reducing error margins in battery simulations.
4. Improved Fractional Controller for AVR System via a New Optimization Algorithm
- Authors: E. Bouguenna, B. Lekouaghet, M. Haddad
- Conference: 2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC)
- Year: 2024
- Citations: 3
- Summary: This study proposes an improved fractional-order controller for Automatic Voltage Regulation (AVR) systems, optimizing stability and response time using a newly developed optimization algorithm.
5. Artificial Group Teaching Optimization Algorithm with Information Sharing for Li-Ion Battery Parameters Estimation
- Authors: W. Merrouche, B. Lekouaghet, E. Bouguenna
- Conference: The 1st National Conference on New Educational Technologies and Informatics
- Year: 2023
- Citations: 2
- Summary: The paper introduces an Artificial Group Teaching Optimization Algorithm (AGTOA) incorporating information-sharing strategies to enhance the precision of Li-Ion battery parameter estimation.
Conclusion
Dr. Elouahab Bouguenna’s extensive contributions to nanomedicine, biomedical nanotechnology, and AI-driven optimization in healthcare make him a highly deserving candidate for an Excellence in Research Award. His strong publication record, interdisciplinary impact, and innovative approaches solidify his standing as a leading researcher in his field. Strengthening his industrial collaborations, leadership in large-scale projects, and public engagement could further enhance his global impact, making him an even stronger contender for prestigious research awards in the future.