Cristine Alves da Costa | Neural Networks | Innovative Research Award

Innovative Research Award

Cristine Alves da Costa
IPMC-CNRS
Cristine Alves da Costa
Affiliation IPMC-CNRS
Country France
Scopus ID 7004469098
Documents 68
Citations 3690
h-index 35
Subject Area Neural Networks
Event International AI Data Scientists Award
ORCID 0000-0002-7777-005X

Cristine Alves da Costa, affiliated with IPMC-CNRS in France, has established a significant academic profile through extensive publication output, influential citation metrics, and research activities related to Neural Networks and artificial intelligence systems.[1] The researcher’s academic record reflects long-term engagement with high-impact scientific investigations and internationally indexed scholarly dissemination.[2]

Abstract

This article presents an academic overview of Cristine Alves da Costa and the scholarly recognition associated with the Innovative Research Award. The analysis highlights publication productivity, citation influence, interdisciplinary contributions, and research engagement within the domain of Neural Networks and intelligent computational systems.[1] Indexed bibliometric indicators demonstrate substantial scientific visibility and sustained academic impact across internationally recognized research platforms.

Keywords

Neural Networks, Artificial Intelligence, Deep Learning, Machine Learning, Computational Neuroscience, Data Science, Citation Analysis, Scholarly Impact, Intelligent Systems, Academic Recognition

Introduction

Neural Networks and artificial intelligence technologies continue to influence the advancement of computational research, biomedical modeling, predictive analytics, and intelligent systems engineering. Researchers operating in these interdisciplinary domains contribute to methodological innovation and scientific discovery through the development of data-driven computational frameworks.[4]

Cristine Alves da Costa has contributed extensively to scientific research activities associated with Neural Networks and related analytical disciplines. The researcher’s indexed publication record, citation performance, and academic collaborations demonstrate sustained scholarly engagement and international scientific visibility.[1] Recognition through the International AI Data Scientists Award reflects the significance of measurable academic contributions within emerging computational sciences.

Research Profile

The scholarly profile of Cristine Alves da Costa demonstrates extensive participation in internationally indexed scientific research. According to bibliometric indicators available through Scopus, the researcher has authored or co-authored sixty-eight scholarly documents and accumulated 3,690 citations, resulting in an h-index of 35.[1] These metrics indicate substantial research visibility and enduring influence within scientific literature.

The researcher is affiliated with IPMC-CNRS, a recognized research institution involved in interdisciplinary scientific and biomedical investigations. The institutional environment supports collaborative innovation, advanced computational research, and international scientific cooperation.

  • Scopus-indexed publications: 68
  • Total citations recorded: 3,690
  • h-index value: 35
  • Research specialization in Neural Networks and intelligent computational systems

Research Contributions

Research contributions associated with Cristine Alves da Costa include scientific investigations involving Neural Networks, machine learning methodologies, and computational intelligence systems. These contributions support advancements in predictive modeling, analytical computation, and interdisciplinary biomedical and technological applications.[2]

The development of neural computation techniques has become increasingly important for data-intensive scientific research. Neural network architectures enable efficient pattern recognition, optimization, and intelligent decision-support systems across multiple academic and industrial sectors.[4]

  • Contribution to Neural Network research and computational intelligence methodologies.
  • Participation in interdisciplinary collaborative scientific studies.
  • Development of analytical and predictive computational frameworks.
  • Scientific dissemination through internationally indexed journals and conferences.

Publications

The publication portfolio associated with Cristine Alves da Costa demonstrates consistent scholarly productivity and international scientific dissemination. Publications indexed within Scopus and Google Scholar indicate sustained involvement in peer-reviewed computational and neural systems research.[1]

Representative publication themes include intelligent systems, machine learning applications, computational neuroscience, and data-driven analytical methodologies. The presence of DOI-linked publications further supports citation accessibility and long-term scholarly traceability.[6]

  1. Peer-reviewed research articles in Neural Networks and artificial intelligence.
  2. Collaborative computational science publications indexed internationally.
  3. Scientific contributions involving machine learning and predictive analytics.
  4. Research dissemination through journals, conferences, and citation databases.

Research Impact

Research impact is commonly evaluated through publication visibility, citation accumulation, h-index performance, and interdisciplinary relevance. The bibliometric profile associated with Cristine Alves da Costa demonstrates sustained scholarly influence and broad academic recognition within computational and intelligent systems research.[1]

A citation count exceeding three thousand references indicates significant engagement with the researcher’s scientific work by the international academic community. Such indicators are frequently associated with influential methodological contributions and high research visibility across related disciplines.[7]

  • Extensive citation performance within indexed scientific literature.
  • Strong h-index indicating sustained scholarly influence.
  • International academic visibility through Scopus, ORCID, and Google Scholar.
  • Research relevance within Neural Networks and artificial intelligence applications.

Award Suitability

The Innovative Research Award recognizes researchers demonstrating substantial academic influence, measurable scientific productivity, and interdisciplinary innovation. Cristine Alves da Costa’s extensive publication record, high citation metrics, and sustained contributions to Neural Networks research align strongly with these evaluation criteria.

Recognition through international award platforms contributes to broader scientific visibility and encourages continued innovation within artificial intelligence and computational sciences. The researcher’s profile reflects a combination of scholarly productivity, citation impact, and collaborative scientific engagement consistent with internationally recognized research standards.[7]

Conclusion

Cristine Alves da Costa has established a highly visible academic profile through extensive contributions to Neural Networks and computational intelligence research. The combination of publication productivity, substantial citation impact, and international scholarly dissemination demonstrates sustained scientific engagement and interdisciplinary relevance. The Innovative Research Award acknowledges these achievements and highlights the researcher’s continuing influence within contemporary artificial intelligence and data-driven research environments.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Cristine Alves da Costa, Author ID 7004469098. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7004469098
  2. Google Scholar. (n.d.). Scholarly citation profile and indexed publications for Cristine Alves da Costa.
    https://scholar.google.com/citations?hl=en&user=Jn70ZdYAAAAJ
  3. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444.
    https://doi.org/10.1038/nature14539
  4. CNRS. (n.d.). Institute profile and interdisciplinary scientific research overview.
    https://www.cnrs.fr/
  5. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
    https://doi.org/10.1073/pnas.0507655102

Ki Jung Kim | Neuroscience | Best Researcher Award

Dr. Ki Jung Kim | Neuroscience | Best Researcher Award

Senior Researcher at Institute for Basic Science, South Korea

Ki Jung Kim, Ph.D., is a Senior Researcher at the Center for Cognition and Sociality at the Institute for Basic Science, located in Daejeon, South Korea. With a strong academic foundation in genetic engineering, neuropharmacology, and neurobiology, Dr. Kim has developed expertise in the dynamics of neuro-glial-vascular interactions, with a particular focus on the mechanisms underlying vascular cognitive impairment and neurodegenerative diseases. His research spans across diverse methodologies, including advanced animal models and in vitro approaches, to unravel the complex cellular communication between neurons, astrocytes, and blood vessels in the brain.

Profile

Google Scholar

Education

Dr. Kim earned his Bachelor of Science in Genetic Engineering from KyungHee University, South Korea, in 2000. He went on to complete a Master of Science in Neuropharmacology at the Catholic University of Korea’s College of Medicine, where he worked under the mentorship of Prof. Ki-Wug Sung. His doctoral research, also at the Catholic University of Korea, culminated in a Ph.D. in Neurobiology in 2009, where he continued under the guidance of Prof. Sung, further solidifying his expertise in brain function and neurovascular coupling.

Experience

Dr. Kim began his research career as a Research Assistant in the Department of Pharmacology at Catholic University of Korea, where he contributed to numerous projects exploring neuropharmacology. From 2009 to 2019, he served as a Postdoctoral Associate and later as a Senior Research Associate at the Department of Physiology at the Medical College of Georgia, Augusta University, USA. During this time, Dr. Kim focused on vascular cognitive impairment and the neurovascular unit’s role in brain function. In 2021, he joined the Institute for Basic Science as a Senior Researcher, where he continues his investigation into brain function and vascular health, specifically looking at the impact of astrocyte activity in neurodegenerative diseases.

Research Interest

Dr. Kim’s research primarily investigates neurovascular coupling, focusing on how astrocytes contribute to the regulation of blood flow and neuronal activity in the brain. His work seeks to better understand the pathophysiology of vascular cognitive impairment, Alzheimer’s disease, and other neurodegenerative conditions. By using mouse models and advanced imaging techniques, Dr. Kim aims to elucidate the role of astrocytes and endothelial cells in maintaining brain homeostasis and how their dysfunction contributes to disease. His research combines elements of neurobiology, pharmacology, and vascular biology to address key questions in neurodegenerative disease mechanisms.

Award

Dr. Kim has received numerous accolades throughout his career, including being part of pioneering teams recognized for their work in neurovascular coupling. He has been cited widely in the field and has contributed to several highly regarded publications, including those in journals such as Neuroglia, Exp Neurobiol, and GeroScience. Dr. Kim’s work has been acknowledged for advancing our understanding of vascular cognitive impairment and neurodegenerative diseases, making him a respected leader in his field.

Publication

Dr. Kim’s research has led to several influential publications, including:

Kim, K.J., Lee, J.H., Lim, J., et al. (2025). Astrocyte‐Specific Phenotyping of FAD4T as an Alzheimer’s Disease Mouse Model. Glia.

Lee, Y., Reva, M., Kim, K.J., et al. (2025). Distinct modes of dopamine modulation on striatopallidal synaptic transmission. BioRxiv.

Kim, K.J., Patterson, R.E., Diaz, J.R., et al. (2024). Dynamic Neuro-Glial-Vascular Responses in a Mouse Model of Vascular Cognitive Impairment. Neuroglia.

Joo, J., Kim, K.J., Lim, J., et al. (2024). Generation of astrocyte-specific BEST1 conditional knockout mouse with reduced tonic GABA inhibition. Exp Neurobiol.

Nam, M.H., Ko, H.Y., Kim, D., et al. (2023). Visualizing reactive astrocyte-neuron interaction in Alzheimer’s disease. Brain.

Kim, K.J., Diaz, J.R., Presa, J.L., et al. (2021). Decreased parenchymal arteriole tone in a mouse model of vascular cognitive impairment. GeroScience.

Ramiro-Diaz, J.M., Kim, K.J., Brands, M., et al. (2019). Augmented astrocyte microdomain Ca2+ dynamics and parenchymal arteriole tone in angiotensin II-infused hypertensive mice. Glia.

Conclusion

Dr. Ki Jung Kim’s work at the Institute for Basic Science has significantly advanced our understanding of the neurovascular unit’s role in brain health and disease. His expertise in neurovascular coupling and its implications for conditions such as Alzheimer’s and vascular cognitive impairment has positioned him as a key contributor to the field. With numerous publications, international presentations, and ongoing research, Dr. Kim’s career continues to have a profound impact on the scientific community’s understanding of brain function and neurodegenerative diseases.