Elouahab Bouguenna | Nanomedicine | Excellence in Research

Mr. Elouahab Bouguenna | Nanomedicine | Excellence in Research

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.

Luoyuan Li | Nanomedicine | Best Researcher Award

Dr. Luoyuan Li | Nanomedicine | Best Researcher Award

Associate Research Fellow at Sun Yat-sen University, China.

Dr. Luoyuan Li is an Associate Researcher at the Eighth Affiliated Hospital of Sun Yat-sen University. With expertise in nanomedicine and biomedical imaging, Dr. Li focuses on developing multi-responsive polymer nanogels and optical imaging probes for cancer and inflammation research. She has extensive experience in drug delivery systems and the molecular mechanisms underlying disease microenvironments.

Professional Profile:

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Education Background

Dr. Li earned her Doctor of Science in Chemistry from the School of Science, Renmin University of China in 2018, where she investigated polymer-based drug carriers for imaging-guided cancer therapy. She holds a Bachelor of Engineering in Polymeric Materials and Engineering from Hebei University of Science and Technology, completed in 2013.

Professional Development

Since January 2021, Dr. Li has been an Associate Researcher at the Eighth Affiliated Hospital of Sun Yat-sen University. Before that, she worked as a Postdoctoral Researcher at the School of Pharmaceutical Sciences, Tsinghua University, from 2018 to 2021, where she explored multi-responsive polymer nanogels for drug delivery and optical imaging. Her research has significantly contributed to understanding cytokine interactions and transmembrane transport in complex disease microenvironments.

Research Focus

Dr. Li’s research focuses on nanomedicine, stimulus-responsive drug delivery systems, and biomedical imaging. She specializes in developing smart nanoplatforms for inflammation-targeted therapy, exploring the transmembrane transport mechanisms of biomolecules, and advancing imaging-guided treatments for cancer and autoimmune diseases. Her recent work investigates pH/enzyme-responsive supramolecular gene therapy carriers for oxidative stress regulation in tumors.

Author Metrics:

Dr. Li has published 24 SCI papers, with 15 as the first or corresponding author. She has contributed to 10 papers with an impact factor above 10, including high-impact journals such as Advanced MaterialsACS Nano, and Advanced Science. Her research has been widely cited, demonstrating its influence in nanomedicine and biomedical imaging.

Honors & Awards

Dr. Li has received multiple prestigious research grants, including the National Natural Science Foundation of China Young Scientist Fund and the China Postdoctoral Special Grant. She has also secured major funding from the Shenzhen Science and Technology Program and Futian Healthcare Research Project. Her contributions to biomedical imaging and nanomedicine have been recognized with several scientific awards and honors.

Publication Top Notes

1. Photoacoustic Imaging in Inflammatory Orthopedic Diseases: Progress toward Precise Diagnostics and Predictive Regulation

  • Journal: Advanced Science
  • Publication Date: February 28, 2025
  • DOI: 10.1002/advs.202412745
  • Contributors: Mengyi Huang, Haoyu Yu, Rongyao Gao, Yuxin Liu, Xuhui Zhou, Limin Fu, Jing Zhou, Luoyuan Li
  • Summary: This study explores the application of photoacoustic imaging (PAI) in detecting and predicting inflammatory orthopedic diseases, improving precision in diagnostics and disease progression monitoring.

2. Defect-Mediated Energy Transfer Mechanism by Modulating Lattice Occupancy of Alkali Ions for the Optimization of Upconversion Luminescence

  • Journal: Nanomaterials
  • Publication Date: December 7, 2024
  • DOI: 10.3390/nano14231969
  • Contributors: Rongyao Gao, Yuqian Li, Yuhang Zhang, Limin Fu, Luoyuan Li
  • Summary: This paper investigates energy transfer mechanisms in upconversion luminescence by modifying lattice occupancy of alkali ions, optimizing nanomaterials for bioimaging and photonic applications.

3. Stimulus‐Responsive Hydrogels as Drug Delivery Systems for Inflammation-Targeted Therapy

  • Journal: Advanced Science
  • Publication Date: January 2024
  • DOI: 10.1002/advs.202306152
  • Contributors: Haoyu Yu, Rongyao Gao, Yuxin Liu, Limin Fu, Jing Zhou, Luoyuan Li
  • Summary: This research focuses on stimulus-responsive hydrogels designed for targeted drug delivery in inflammatory conditions, enhancing therapeutic efficacy by responding to biological triggers.

Conclusion

Dr. Luoyuan Li is a leading researcher in nanomedicine, with outstanding contributions in targeted drug delivery, biomedical imaging, and multi-functional nanoplatforms. Her high-impact publications, prestigious research funding, and interdisciplinary expertise make her a strong candidate for the Best Researcher Award. By expanding international collaborations and industry applications, she could further strengthen her global research leadership.