Ikram ul Haq | Artificial Intelligence | Best Researcher Award

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Best Researcher Award

Ikram ul Haq
BIT

Ikram ul Haq
Affiliation BIT
Country Pakistan
Documents 1479
Citations 30,887
h-index 77
Subject Area Artificial Intelligence
Event International AI Data Scientists Award

Ikram ul Haq is a distinguished researcher associated with BIT, Pakistan, whose scholarly contributions have significantly influenced the advancement of Artificial Intelligence and related computational disciplines. His extensive publication portfolio, high citation impact, and sustained academic productivity demonstrate a strong commitment to scientific inquiry and innovation. The breadth of his research output reflects continuous engagement with emerging technologies, interdisciplinary collaboration, and the practical application of intelligent systems across diverse domains.[1]

Abstract

This article presents an overview of the academic achievements and research influence of Ikram ul Haq. Through a substantial body of scholarly work, he has contributed to Artificial Intelligence research, producing publications that have received significant attention from the global scientific community. His research impact is reflected through extensive citations and a strong h-index, indicating sustained relevance and influence within the field.[1]

Keywords

Artificial Intelligence, Machine Learning, Computational Intelligence, Data Analytics, Research Excellence, Knowledge Discovery, Intelligent Systems.

Introduction

Artificial Intelligence has become one of the most influential scientific disciplines of the modern era, enabling advances in automation, predictive analytics, intelligent decision-making, and data-driven innovation. Researchers who contribute extensively to this field help shape future technologies and provide solutions to complex societal and industrial challenges. Ikram ul Haq has established a notable academic presence through sustained scholarly activity and impactful research contributions that support the continued evolution of intelligent systems.[2]

Research Profile

  • Affiliation: BIT, Pakistan.
  • Primary research domain: Artificial Intelligence.
  • Total scholarly documents: 1,479.
  • Total citations: 30,887.
  • h-index: 77.

Research Contributions

Ikram ul Haq’s research contributions span a broad range of Artificial Intelligence topics, including intelligent computing, machine learning methodologies, data analytics, and computational modeling. His work has contributed to the advancement of scientific understanding while supporting practical applications across academic and industrial environments. Through collaborative research efforts and consistent publication activity, he has participated in the global exchange of knowledge and technological innovation.[2]

Publications

With 1,479 scholarly publications, Ikram ul Haq demonstrates exceptional research productivity. His publication record reflects long-term engagement with emerging scientific challenges and highlights a commitment to advancing Artificial Intelligence through rigorous investigation and dissemination of findings. The diversity of topics covered within his research portfolio illustrates both depth and breadth of expertise.[1]

Research Impact

The impact of scholarly research is often measured through citation performance and recognition by the academic community. Accumulating more than 30,887 citations and maintaining an h-index of 77, Ikram ul Haq has achieved significant visibility within the research landscape. These indicators suggest that his work continues to influence subsequent studies and contributes meaningfully to ongoing developments in Artificial Intelligence and related fields.[1]

Award Suitability

The Best Researcher Award recognizes individuals who demonstrate sustained scholarly excellence, measurable scientific impact, and meaningful contributions to research advancement. Based on his publication volume, citation metrics, and influence within the Artificial Intelligence community, Ikram ul Haq represents a strong candidate for recognition. His achievements align closely with the objectives of the International AI Data Scientists Award, which promotes innovation, scientific excellence, and global research leadership.[3]

Conclusion

Ikram ul Haq’s academic career reflects a substantial contribution to Artificial Intelligence research through a combination of productivity, influence, and scholarly engagement. His extensive publication portfolio, strong citation record, and continuing impact on scientific literature illustrate a sustained commitment to advancing knowledge. These accomplishments support his consideration for the Best Researcher Award and highlight his role within the broader research community.[1]

References

  1. Google Scholar. (n.d.). Scholar profile and citation metrics of Ikram ul Haq.
    https://scholar.google.com/citations?user=tIrmMlYAAAAJ&hl=en&oi=sra
  2. XAAI-ledger: An explainable CNN-transformer-based multi-modal deep learning framework for early detection of melanoma and non-melanoma skin cancers using dermoscopic and clinical data.
    https://doi.org/10.1016/j.bspc.2026.110410
  3. International AI Data Scientists Award. (n.d.). Award evaluation and recognition framework.
    https://aidatascientists.com/

Preety Shoran | Christ University | Best Researcher Award

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Best Researcher Award

Preety Shoran
Christ University
Preety Shoran
Affiliation Christ University
Country India
Scopus ID 58100727600
Documents 46
Citations 54
h-index 4
Subject Area Artificial Intelligence
Event International AI Data Scientists Award
ORCID 0000-0003-3873-4600

Preety Shoran of Christ University, India. Her academic activities are associated with research in Artificial Intelligence and related computational domains. Based on available bibliometric indicators, the researcher has contributed peer-reviewed publications and demonstrated measurable scholarly engagement through citations and academic dissemination.[1]

Abstract

This article summarizes the academic profile of Preety Shoran, emphasizing research productivity, scholarly visibility, and contributions within Artificial Intelligence. The profile reflects publication activity, citation performance, and participation in contemporary research initiatives relevant to data-driven technologies.[1]

Keywords

Artificial Intelligence, Machine Learning, Data Analytics, Computational Intelligence, Research Impact.

Introduction

Artificial Intelligence has emerged as a transformative discipline influencing science, industry, and society. Researchers contribute by developing methods, models, and applications that support intelligent decision-making and automation. Academic recognition programs acknowledge sustained contributions to these developments.[2]

Research Profile

Preety Shoran is affiliated with Christ University and has established a documented research record comprising 46 indexed publications. The available citation count of 54 and an h-index of 4 indicate ongoing scholarly engagement and contribution to academic literature.[1]

Research Contributions

The research portfolio demonstrates participation in studies related to Artificial Intelligence and computational methodologies. Such work supports knowledge generation, interdisciplinary collaboration, and technological advancement within emerging digital ecosystems.[3]

Publications

  • Peer-reviewed articles in Artificial Intelligence and related fields.
  • Conference proceedings and scholarly communications.
  • Collaborative research publications contributing to scientific literature.

Research Impact

Research impact is commonly evaluated using publication output, citation indicators, and academic visibility. The documented metrics suggest a developing research profile with contributions recognized through citations and scholarly dissemination channels.[1]

Award Suitability

Based on documented academic activities, publication output, and engagement within Artificial Intelligence research, the profile demonstrates attributes commonly considered during evaluations for researcher recognition programs. Assessment remains subject to established award criteria and review procedures.[4]

Conclusion

Preety Shoran’s scholarly profile reflects active participation in academic research and publication activities within Artificial Intelligence. The documented metrics, institutional affiliation, and research engagement provide a foundation for professional recognition and continued scholarly development.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Preety Shoran, Author ID 58100727600. Scopus.
    https://www.scopus.com/pages/authors/58100727600
  2. Orcid author details: Preety Shoran.
    https://orcid.org/0000-0003-3873-4600
  3. Artificial Intelligence Research Overview.
    https://doi.org/10.1016/j.artint.2023.104001
  4. International AI Data Scientists Award Evaluation Framework.
    https://aidatascientists.com/

Anurag Rana | Artificial Intelligence | Distinguished Scientist Award

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Distinguished Scientist Award

Anurag Rana
Affiliation Shoolini University
Country India
Scopus ID 57973470300
Documents 23
Citations 83
h-index 5
Subject Area Artificial Intelligence
Event International AI Data Scientists Award
ORCID 0000-0003-0247-8908

Anurag Rana
Shoolini University

Anurag Rana is an academic researcher affiliated with Shoolini University, India, whose scholarly activities are primarily associated with Artificial Intelligence and related computational research domains. His publication portfolio, citation record, and documented research output reflect active engagement in scientific investigation and knowledge dissemination. The recognition through the Distinguished Scientist Award highlights his contribution to advancing research excellence and innovation within emerging technology disciplines.[1]

Abstract

This article presents a concise academic profile of Anurag Rana, highlighting research achievements, publication activity, and scholarly impact in Artificial Intelligence. Available bibliometric indicators demonstrate a growing research footprint supported by peer-reviewed publications and measurable citation performance.[1]

Keywords

Artificial Intelligence, Machine Learning, Data Science, Research Excellence, Scholarly Impact, Computational Intelligence.

Introduction

Artificial Intelligence continues to influence scientific research, industry transformation, and technological innovation. Researchers contributing to this field support the development of intelligent systems capable of solving complex analytical and decision-making challenges. Anurag Rana’s academic activities align with these objectives through ongoing participation in research and publication efforts.[2]

Research Profile

According to available scholarly records, Anurag Rana has authored or co-authored 23 indexed documents and accumulated 83 citations, resulting in an h-index of 5. These indicators suggest consistent academic engagement and growing visibility within the research community.[1]

Research Contributions

The research contributions of Anurag Rana focus on advancing knowledge in Artificial Intelligence through analytical methodologies, computational modeling, and interdisciplinary applications. His work contributes to the broader understanding of intelligent systems and their practical implementation in diverse domains.[3]

Publications

  • Peer-reviewed research articles in Artificial Intelligence and computational sciences.
  • Collaborative publications addressing emerging technological challenges.
  • Scholarly works indexed in recognized academic databases.

Research Impact

Citation metrics provide evidence of academic influence and knowledge dissemination. The citation count associated with the researcher’s publications indicates engagement from fellow scholars and demonstrates the relevance of the published work within the scientific community.[1]

Award Suitability

The Distinguished Scientist Award recognizes sustained scholarly activity, research quality, and measurable academic contributions. Based on documented publication output, citation performance, and active involvement in Artificial Intelligence research, Anurag Rana demonstrates characteristics consistent with the objectives of the International AI Data Scientists Award program.[4]

Conclusion

Anurag Rana represents an active contributor to Artificial Intelligence research through publications, scholarly collaboration, and academic engagement. His research record and professional accomplishments support recognition within international scientific award frameworks and reflect continued commitment to advancing knowledge in technology-driven disciplines.

References

  1. Elsevier. (n.d.). Scopus author details: Anurag Rana, Author ID 57973470300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57973470300
  2. Google Scholar. (n.d.). Scholar profile and citation metrics.
    https://scholar.google.co.in/citations?user=EQnY4CwAAAAJ&hl=en
  3. Reward-respecting subtasks for model-based reinforcement learning.
    https://doi.org/10.1016/j.artint.2023.104001
  4. International AI Data Scientists Award. Award criteria and recognition framework.
    https://aidatascientists.com/

Elton Bollers | Data-Driven Decision Making | Best Researcher Award

Published on by AI Data Scientist

Best Researcher Award

Elton Bollers
The University of the West Indies

Elton Bollers
Affiliation The University of the West Indies
Country Guyana
Scopus ID 59741947700
Documents 28
Citations 105
h-index 5
Subject Area Data-Driven Decision Making
Event International AI Data Scientists Award
ORCID 0000-0003-2189-2506

Elton Bollers is a researcher affiliated with The University of the West Indies whose scholarly work is associated with Data-Driven Decision Making, digital analytics, and applied information systems research. His academic activities focus on the use of data-oriented methodologies to improve analytical processes, organizational strategies, and technology-supported decision frameworks. Bollers has contributed to peer-reviewed academic literature indexed through recognized scholarly databases, demonstrating continued engagement with interdisciplinary technological research.[1]

Abstract

This article presents an overview of the academic profile and research contributions of Elton Bollers in the area of Data-Driven Decision Making. His scholarly work reflects interest in analytical systems, information management, and technology-supported decision processes. Through academic publications and research collaborations, Bollers has contributed to discussions concerning the integration of data analytics into institutional and organizational environments.[2]

Keywords

Data-Driven Decision Making, Data Analytics, Information Systems, Artificial Intelligence, Business Intelligence, Predictive Analytics, Digital Transformation, Research Data.

Introduction

Data-driven methodologies have become increasingly important in modern scientific, institutional, and technological environments. Researchers working in this field examine how analytical systems and computational tools can improve strategic planning and operational efficiency. Elton Bollers’ research interests align with these objectives through studies involving data analysis, information management, and evidence-based decision systems.[3]

Research Profile

The academic profile of Elton Bollers includes 28 indexed publications with 105 citations and an h-index of 5. His research visibility within scholarly databases demonstrates ongoing participation in interdisciplinary studies related to data systems and analytical technologies. The citation record associated with his work indicates academic engagement from researchers in related technological and information science disciplines.[1]

Research Contributions

  • Research contributions related to data analytics and decision-support systems.
  • Academic engagement in information management and digital transformation studies.
  • Participation in interdisciplinary scholarly collaborations involving analytical technologies.

Publications

  • Scholarly publications indexed in Scopus and Google Scholar databases.[1]

Research Impact

The citation metrics associated with Bollers’ academic profile demonstrate measurable engagement with his research contributions within the field of analytical and information sciences. His work supports broader academic discussions on the role of data-driven systems in improving organizational efficiency, digital innovation, and evidence-based technological practices.[2]

Award Suitability

Elton Bollers’ research profile demonstrates suitability for recognition under the Best Researcher Award category due to his scholarly productivity, citation impact, and involvement in data-driven analytical research. His contributions align with the objectives of the International AI Data Scientists Award, which recognizes advancements in artificial intelligence, analytics, and technology-supported research methodologies.[4]

Conclusion

The academic contributions of Elton Bollers reflect continued engagement with Data-Driven Decision Making and information systems research. His scholarly publications, citation record, and interdisciplinary research participation collectively support recognition within the international academic and technological research community.

References

  1. Elsevier. (n.d.). Scopus author details: Elton Bollers, Author ID 59741947700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59741947700
  2. Google Scholar. (n.d.). Academic citation profile of Elton Bollers.
    https://scholar.google.com/citations?user=VOhUhzYAAAAJ&hl=en
  3. ORCID. (n.d.). ORCID profile of Elton Bollers.
    https://orcid.org/0000-0003-2189-2506
  4. International AI Data Scientists Award. (2026). Best Researcher Award criteria and recognition framework.
    https://aidatascientists.com/

Mujidat Bello | Data Quality Management | Best Researcher Award

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Best Researcher Award

Mujidat Bello
Fountain University, Osogbo, Nigeria

Mujidat Bello
Affiliation Fountain University
Country Nigeria
Scopus ID 47061216000
Documents 11
Citations 64
h-index 5
Subject Area Data Quality Management
Event International AI Data Scientists Award
ORCID 0000-0002-4862-7924

Mujidat Bello is a Nigerian academic researcher affiliated with Fountain University, Osogbo, whose scholarly activities focus on Data Quality Management, information systems, and applied data analytics. Her academic contributions demonstrate an interest in improving the reliability, accessibility, and governance of digital information systems within emerging technological environments. Bello’s research portfolio includes peer-reviewed publications indexed in Scopus and other scholarly databases, reflecting consistent participation in contemporary data-driven research initiatives.[1]

Abstract

This article presents an overview of the academic profile and research contributions of Mujidat Bello in the field of Data Quality Management. Her work highlights the importance of maintaining accurate, reliable, and accessible datasets in modern information systems. Through publications, collaborative studies, and scholarly engagement, Bello has contributed to discussions surrounding data governance and digital transformation in academic and institutional environments.[2]

Keywords

Data Quality Management, Information Systems, Data Governance, Digital Analytics, Research Data, Academic Research, Artificial Intelligence, Data Integrity.

Introduction

The growing dependence on digital technologies has increased the need for effective data quality practices across institutions and research organizations. Scholars working in this domain contribute to ensuring that data remains trustworthy and usable for scientific, administrative, and technological applications. Mujidat Bello’s research activities align with these objectives through studies related to data handling, management systems, and analytical methodologies.[3]

Research Profile

Bello’s academic record includes 11 indexed scholarly documents with 64 citations and an h-index of 5. Her profile demonstrates consistent engagement with interdisciplinary research areas involving information systems and data quality assessment. The visibility of her publications within citation databases reflects scholarly recognition and ongoing academic relevance.[1]

Research Contributions

  • Research on data integrity and information reliability in institutional systems.
  • Contributions to discussions on digital transformation and information governance.
  • Participation in collaborative scholarly publications related to data analytics and quality management.

Publications

Research Impact

The citation metrics associated with Bello’s publications indicate academic engagement within the field of information management and data quality studies. Her work contributes to the broader understanding of how institutions can improve digital systems through reliable data practices and analytical frameworks.[2]

Award Suitability

Mujidat Bello’s academic profile demonstrates suitability for recognition under the Best Researcher Award category due to her scholarly productivity, citation impact, and involvement in research concerning data quality management. Her contributions align with the objectives of the International AI Data Scientists Award, which emphasizes innovation, research quality, and advancement in data-driven disciplines.[4]

Conclusion

The academic activities and research contributions of Mujidat Bello illustrate continued engagement with contemporary issues in data quality management and information systems research. Her scholarly output, citation record, and institutional affiliation collectively support her recognition within the international academic community.

References

  1. Elsevier. (n.d.). Scopus author details: Mujidat Bello, Author ID 47061216000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=47061216000
  2. ORCID. (n.d.). ORCID profile of Mujidat Bello.
    https://orcid.org/0000-0002-4862-7924
  3. Google Scholar. (n.d.). Academic citation profile of Mujidat Bello.
    https://scholar.google.com/citations?user=f_8NfrsAAAAJ&hl=en
  4. International AI Data Scientists Award. (2026). Best Researcher Award recognition criteria.
    https://aidatascientists.com/

Alamgir Naushad | Artificial Intelligence | Best Researcher Award

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Best Researcher Award

Alamgir Naushad
UM6P Morocco

Alamgir Naushad
Affiliation UM6P Morocco
Country Morocco
Scopus ID 56524467200
Documents 19
Citations 262
h-index 8
Subject Area Artificial Intelligence
Event International AI Data Scientists Award
ORCID 0000-0001-7009-1751

Alamgir Naushad is recognized for contributions to the field of Artificial Intelligence through research activities associated with computational methods, intelligent systems, and data-driven technologies. Affiliated with UM6P Morocco, the researcher has developed a growing academic profile supported by indexed publications and scholarly citations. Recognition through the International AI Data Scientists Award reflects engagement in advancing analytical and intelligent computing research.[1]

Abstract

This article summarizes the academic profile and research recognition of Alamgir Naushad in the field of Artificial Intelligence. The profile highlights scholarly productivity, citation impact, and contributions to intelligent computational systems. The researcher’s work reflects engagement with emerging technologies and analytical methods that support innovation in AI-driven applications.[1]

Keywords

Artificial Intelligence, Intelligent Systems, Machine Learning, Computational Analytics, Data Science, Neural Computing, AI Research, Smart Technologies, Predictive Modeling, Deep Learning.

Introduction

Artificial Intelligence has become a transformative research domain influencing healthcare, engineering, automation, and computational sciences. Researchers in this field contribute to intelligent decision-making systems and data-driven innovation. Alamgir Naushad’s academic activities demonstrate participation in this rapidly developing scientific landscape.[2]

Research Profile

The researcher has produced nineteen indexed documents with more than two hundred citations and an h-index of eight. These indicators demonstrate scholarly visibility and continuing engagement with academic publishing and collaborative scientific research activities.[1]

Research Contributions

Research contributions associated with Alamgir Naushad include studies related to intelligent systems, computational analysis, and AI-supported methodologies. Such work contributes to improving analytical efficiency and advancing intelligent computational applications across interdisciplinary environments.[3]

Publications

  • Artificial intelligence applications in data-driven environments.
  • Machine learning methodologies and analytical systems.
  • Computational approaches for intelligent automation.

Research Impact

The citation profile and publication record indicate academic engagement within the international research community. Contributions to Artificial Intelligence continue to support innovation in predictive technologies, smart systems, and modern computational research practices.[1]

Award Suitability

The Best Researcher Award recognizes scholarly achievement, research productivity, and contribution to emerging scientific fields. Alamgir Naushad’s profile aligns with these objectives through active research involvement and measurable academic impact within Artificial Intelligence studies.[4]

Conclusion

Alamgir Naushad demonstrates an active academic presence in Artificial Intelligence research through indexed publications, citations, and interdisciplinary analytical contributions. Recognition through the International AI Data Scientists Award highlights the significance of continued innovation and scholarly development in intelligent computing research.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Alamgir Naushad, Author ID 56524467200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56524467200
  2. Orcid. (n.d.). author details: Alamgir Naushad, Author ID 0000-0001-7009-1751.
    https://orcid.org/0000-0001-7009-1751
  3. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning.
    https://doi.org/10.1038/nature14539
  4. International AI Data Scientists Award. (n.d.). Research Recognition Program.
    https://aidatascientists.com/

Harsh Verma | Artificial Intelligence | AI Innovator Award

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Mr. Harsh Verma | Artificial Intelligence | AI Innovator Award

Palo Alto Networks | United States

Harsh Verma is an Artificial Intelligence professional specializing in machine learning, big data, and IoT systems. His research focuses on secure, real-time data management and scalable AI solutions. With industry leadership experience, he contributes to innovative AI-driven technologies, emphasizing data security, system efficiency, and intelligent decision-making in complex distributed environments.

Citation Metrics (Google Scholar)

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Secure real-time heterogeneous IoT data management system
– IEEE Conference on Trust, Privacy and Security, 2019 | Citations: 23

Shaoyang Luo | Time Series Analysis | Research Excellence Award

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Dr. Shaoyang Luo | Time Series Analysis | Research Excellence Award

Doctor of Philosophy in Engineering | Nanchang University | China

Dr. Shaoyang Luo is a researcher in Time Series Analysis at the School of Infrastructure Engineering, Nanchang University. His research focuses on data-driven modeling, signal decomposition, and deep learning methods for infrastructure monitoring, with particular emphasis on dam deformation analysis and structural health monitoring. He develops hybrid models that integrate time–frequency analysis and neural networks to improve prediction accuracy and reliability in large-scale civil engineering systems.

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Jihyun Kim | Data-Driven Decision Making | Research Excellence Award

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Ms. Jihyun Kim | Data-Driven Decision Making | Research Excellence Award

Professor | University of Seoul | South Korea

Ms. Jihyun Kim is a researcher in Transportation Engineering with a focus on data-driven analysis of traffic systems and emerging mobility technologies. Her research explores traveler behavior, safety, and operational performance using advanced statistical modeling and simulation-based approaches. She has conducted studies on e-scooter operations on sidewalks using VR simulators to evaluate safety and applicability under realistic conditions. Her work also includes the development of intersection- and roundabout-specific gap acceptance models, incorporating environmental factors such as rainfall. Through her research, she contributes evidence-based insights to support safer, smarter, and more efficient urban transportation systems.

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Elzbieta Olejarczyk | Artificial Intelligence | Research Excellence Distinction Award

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Assoc. Prof. Dr. Elzbieta Olejarczyk | Artificial Intelligence | Research Excellence Distinction Award

Senior Reasearcher at Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences | Poland

Assoc. Prof. Dr. Elżbieta Olejarczyk is a leading researcher in biomedical engineering and neurophysiology, specializing in the advanced analysis of EEG signals to better understand brain function and neurological disorders. Her work focuses on nonlinear dynamics, fractal analysis, brain connectivity, and the development of computational methods for diagnosing conditions such as schizophrenia, stroke, depression, and sleep disorders. She has contributed extensively to the study of neuronal complexity, functional connectivity, and neuroelectrical biomarkers using innovative mathematical and signal-processing techniques. With highly cited publications in PLoS ONE, Frontiers in Neuroscience, Scientific Reports, and IEEE journals, she is recognized for advancing EEG-based diagnostic methodologies and improving insights into brain activity in both healthy and clinical populations.

 

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