Otilia Elena Dragomir | Artificial Intelligence | Innovative Research Award

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Innovative Research Award

Otilia Elena Dragomir,
Valahia University of Targoviste, Romania.

Otilia Elena Dragomir
Affiliation Valahia University of Targoviste
Country Romania
Scopus ID 26537327000
Documents 53
Citations 372 (308 documents)
h-index 9
Subject Area Artificial Intelligence
Event Global Network Awards
ORCID 0000-0001-7583-725X

The Innovative Research Award recognizes distinguished contributions to scientific advancement, highlighting impactful research achievements across emerging and established disciplines. Otilia Elena Dragomir, affiliated with Valahia University of Targoviste, Romania, has been acknowledged for her contributions to the field of Artificial Intelligence, demonstrating consistent scholarly output and measurable research impact within indexed academic databases [1].

Abstract

This article outlines the academic profile and research contributions of Otilia Elena Dragomir in the domain of Artificial Intelligence. It contextualizes her scholarly work within contemporary computational research frameworks and highlights measurable academic outputs including publications, citation metrics, and indexing in Scopus. The evaluation is aligned with standard research assessment indicators used in global academic recognition systems [2].

Keywords

Artificial Intelligence, Machine Learning, Data Modeling, Computational Intelligence, Academic Research, Scientometrics

Introduction

Artificial Intelligence (AI) has emerged as a transformative discipline influencing diverse sectors including healthcare, engineering, and information systems. Researchers contributing to AI development are evaluated based on publication quality, citation metrics, and interdisciplinary relevance. Otilia Elena Dragomir’s academic work reflects engagement with evolving AI methodologies and applications [3].

Research Profile

Otilia Elena Dragomir is affiliated with Valahia University of Targoviste, Romania. Her Scopus-indexed research profile includes 53 documents with a cumulative citation count of 372 and an h-index of 9, indicating sustained scholarly engagement and moderate citation impact within the academic community [1].

Research Contributions

The research contributions of Dragomir primarily focus on Artificial Intelligence and computational modeling. Her work explores algorithmic efficiency, predictive analytics, and data-driven methodologies, contributing to advancements in intelligent systems design and evaluation. These contributions align with ongoing global research trends in AI innovation and applied computational science [4].

Publications

The author has contributed to multiple peer-reviewed journals indexed in Scopus, reflecting interdisciplinary engagement across Artificial Intelligence and related computational domains. These publications demonstrate methodological rigor and adherence to international research standards [5].

Research Impact

Research impact is assessed through bibliometric indicators such as citation counts, h-index, and publication volume. Dragomir’s citation profile indicates that her research has been referenced in over 300 documents, reflecting engagement and recognition within the academic community. Such metrics are widely used in evaluating research influence and academic visibility [2].

Award Suitability

The Innovative Research Award under the Global Network Awards framework recognizes measurable research excellence and global academic contribution. Based on publication metrics, subject relevance, and citation performance, Otilia Elena Dragomir meets the evaluation criteria for recognition within the Artificial Intelligence domain .

Conclusion

Otilia Elena Dragomir’s academic contributions reflect a consistent engagement with Artificial Intelligence research, supported by measurable bibliometric indicators and peer-reviewed publications. Her recognition through the Innovative Research Award underscores the importance of data-driven evaluation in modern academic ecosystems and highlights her role within the global research community.

References

  1. Elsevier. (n.d.). Scopus author details: Otilia Elena Dragomir, Author ID 26537327000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=26537327000
  2. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences.
    https://doi.org/10.1073/pnas.0507655102
  3. Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson.
    https://aima.cs.berkeley.edu/
  4. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
    https://www.deeplearningbook.org/
  5. Elsevier. (n.d.). Guide for authors: Publishing ethics and standards.
    https://www.elsevier.com/authors/policies-and-guidelines

Amol Bhagat | Big Data Security | Best Researcher Award

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Dr. Amol Bhagat | Big Data Security | Best Researcher Award

Manager Business Incubation at Prof Ram Meghe College of Engineering and Management, Badnera Amravati | India

Dr. Amol Prakash Bhagat is an accomplished academic and innovator serving as Assistant Professor, Manager–Business Incubator, and Programme Coordinator–IEDC at Ram Meghe College of Engineering & Management, Badnera, Amravati. With over 18 years of teaching experience, he has made significant contributions in Data Science, Artificial Intelligence, Machine Learning, Digital Signal Processing, and Medical Image Processing. Dr. Bhagat has authored 100+ publications, filed 38 patents (7 granted), published 10 books, and guided numerous postgraduate and doctoral scholars. He has secured multiple high-value research grants from DST, NITI Aayog, and MSME, and is recognized with prestigious awards such as the Start-Up NIDHI Award (DST EDII) and IETE Higher Technical Proficiency Award. As a mentor for initiatives like Smart India Hackathon and Atal Tinkering Labs, he actively fosters innovation and entrepreneurship.

Professional Profile:

Education: 

Dr. Amol Prakash Bhagat holds a Ph.D. in Information Technology, complemented by an M.Tech in Computer Science & Engineering and a B.E. in Information Technology. His strong academic foundation in computing, engineering, and advanced research underpins his extensive contributions to the fields of data science, artificial intelligence, and digital signal processing.

Experience:

With over 18 years of teaching experience and 8 years dedicated to research, Dr. Bhagat has successfully guided 25 M.E./M.Tech students to completion and serves as a Ph.D. supervisor at Sant Gadge Baba Amravati University. He has also contributed 1.5 years in the industry, bringing practical expertise to his academic work. Beyond teaching and research, he has held key leadership roles, including Coordinator of the Department of Science and Technology-funded Innovation & Entrepreneurship Development Centre (IEDC), Manager of the MSME Business Incubator, and Nodal Officer for the Atal Ranking of Institutions on Innovation Achievements (ARIIA). His professional service includes active participation as a Technical Programme Committee Member in over 30 international conferences, reviewer for leading publishers such as Elsevier, IEEE, and Springer, Chairperson in 15+ conferences, and delivering more than 150 expert lectures as a resource person.

Research Interest:

Data Science, Artificial Intelligence, Machine Learning, Digital Signal Processing, Soft Computing, Data Analytics, Medical Image Processing, Image Segmentation, Content-Based Image Retrieval, Cybersecurity in Wireless Networks, and Innovation-Driven Entrepreneurship.

Publications Top Noted:

  1. Medical Images: Formats, Compression Techniques and DICOM Image Retrieval – A Survey
    Year: 2012 | Citations: 40

  2. Classification and Analysis of Clustering Algorithms for Large Datasets
    Year: 2015 | Citations: 20

  3. A Detection and Prevention of Wormhole Attack in Homogeneous Wireless Sensor Network
    Year: 2016 | Citations: 19

  4. Six Sigma DMAIC Literature Review
    Year: 2015 | Citations: 19

  5. Design and Development of Systems for Image Segmentation and Content-Based Image Retrieval
    Year: 2012 | Citations: 17

Conclusion:

Dr. Amol Bhagat’s exceptional research productivity, innovation-driven mindset, and proven leadership in big data security and AI applications make him a highly deserving candidate for the Best Researcher Award. His strong patent portfolio, grant acquisition record, and dedication to nurturing talent align perfectly with the award’s vision of recognizing transformative contributions. With expanded international collaborations and global outreach, Dr. Bhagat is poised to further advance the frontiers of data-driven security and innovation, cementing his status as a global leader in the field.

Huy Dinh | Artificial Intelligence | Best Researcher Award

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Mr. Huy Dinh | Artificial Intelligence | Best Researcher Award

Huy Dinh at Stanford University Department of Orthopaedic Surgery | United States

Huy G. Dinh, BS is a physician-scientist in training at the Stanford University School of Medicine, combining expertise in bioengineering, computational modeling, and artificial intelligence to advance medical diagnostics and patient care. His research spans AI-assisted motion analysis, computational hemodynamics, and predictive modeling of musculoskeletal and vascular diseases. A recipient of the Cognitive Scientist Best Researcher Award and the MedScholars Discovery Grant, Mr. Dinh has authored multiple peer-reviewed publications and presented at leading conferences, reflecting a deep commitment to translational research at the intersection of engineering and medicine.

Professional Profile:

Education: 

  • Doctor of Medicine (MD) – Stanford University School of Medicine, Stanford, CA

  • Bachelor of Science in Bioengineering – University of California, Los Angeles (UCLA), Los Angeles, CA

Experience:

Mr. Dinh’s professional journey bridges clinical research, teaching, and emergency medical services. At Stanford’s Ladd Lab, he develops novel AI-driven motion analysis tools for assessing hand function and investigates radiographic patterns to predict osteoarthritis progression. His earlier work at UCLA’s Chien Lab focused on fluid simulations of vascular disease and predictive models for aneurysm progression. Beyond research, he has served as a Teaching Assistant in Orthopaedic Surgery, an EMT providing acute care across Southern California, and a campus leader organizing large-scale cultural and academic events.

Research Interest:

  • Artificial Intelligence in Medicine – AI-assisted motion capture, predictive analytics, and interpretable models for clinical decision-making

  • Computational Hemodynamics – Patient-specific simulations of vascular flow and disease progression

  • Musculoskeletal Imaging – Quantitative radiographic analysis and shape modeling in osteoarthritis

  • Medical Device Development – Integrating engineering principles into novel diagnostic tools

Publications Top Noted:

1. Proof of Concept and Validation of Single-Camera AI-Assisted Live Thumb Motion Capture

  • Year: 2025

2. Examining the Utility of 2D DSA for Carotid Stenosis Hemodynamic Pressure Analysis

  • Year: 2023

3. Image-Derived Metrics Quantifying Hemodynamic Instability Predicted Growth of Unruptured Intracranial Aneurysms

  • Year: 2022

4. Reconstruction of Carotid Stenosis Hemodynamics Based on Guidewire Pressure Data and Computational Modeling

  • Year: 2022

5. Patient-Specific Analyses Reveal Differences in Hemodynamic and Morphological Parameters Between Growing and Stable Unruptured Intracranial Aneurysms

  • Year: 2022

Conclusion:

Mr. Huy Dinh’s pioneering contributions in AI-driven medical diagnostics make him an outstanding candidate for the Best Researcher Award in Artificial Intelligence. His ability to integrate engineering innovation with clinical needs positions him as a transformative figure in the future of personalized medicine. With continued focus on expanding collaborations, translating research into clinical practice, and contributing to the ethical evolution of AI in healthcare, he is poised to make lasting global contributions. His record of excellence and innovation strongly supports his recognition with this award.