Yuriy Perevalov | Engineering | Best Faculty Award

Published on by Global Scholar Awards

Best Faculty Award

Yuriy Perevalov
Saint Petersburg Electrotechnical University, Russia

Yuriy Perevalov
Researcher Yuriy Perevalov
Affiliation Saint Petersburg Electrotechnical University
Country Russia
Scopus ID 57200258235
Documents 26
Citations 29
h-index 3
Subject Area Engineering
Event Global Scholar Awards
ORCID
0000-0001-8703-7815

The Best Faculty Award recognizes the scholarly and academic contributions of Yuriy Perevalov from Saint Petersburg Electrotechnical University, Russia. The recognition highlights academic engagement in Engineering research, scientific dissemination, and interdisciplinary scholarly activities through internationally indexed publications and collaborative academic participation.[1] The researcher’s academic profile reflects sustained participation in research communication, technical innovation, and measurable scholarly visibility within international academic communities.[2]

Abstract

Yuriy Perevalov is associated with internationally indexed academic activities in Engineering and related technological disciplines. The academic profile demonstrates engagement in peer-reviewed publication, citation-based research visibility, and interdisciplinary scientific collaboration through recognized scholarly databases.[1] Research dissemination through ORCID, Google Scholar, and ResearchGate contributes to the accessibility and discoverability of scholarly outputs within the international research environment.[2][3]

Keywords

  • Engineering Research
  • Academic Publications
  • Scientific Communication
  • Research Visibility
  • Interdisciplinary Engineering
  • Scholarly Impact
  • Global Scholar Awards

Introduction

Academic recognition programs acknowledge scholarly excellence, research dissemination, and institutional contribution within international scientific communities. The Best Faculty Award associated with the Global Scholar Awards framework recognizes researchers demonstrating measurable academic participation, publication activity, and interdisciplinary collaboration through globally indexed scholarly systems.[1] Yuriy Perevalov’s academic profile reflects scholarly engagement in Engineering and related technical domains. Citation metrics, indexed publications, and professional research identifiers collectively contribute to scholarly visibility and academic communication within contemporary research environments.[2]

Research Profile

Yuriy Perevalov is affiliated with Saint Petersburg Electrotechnical University in Russia and maintains an internationally indexed research presence through Scopus and associated scholarly platforms.[1] The academic profile includes twenty-six indexed documents, twenty-nine citations, and an h-index of three, indicating active participation in scientific publication and scholarly dissemination. Research activities associated with the scholar are connected to Engineering, applied technologies, and interdisciplinary scientific innovation. Academic dissemination through recognized researcher identity systems enhances research discoverability and institutional visibility.[2][3]

Research Contributions

The scholarly contributions associated with Yuriy Perevalov support academic communication and interdisciplinary engineering research through peer-reviewed publications and indexed scientific dissemination.[1] Research activities reflect engagement with technical innovation, collaborative inquiry, and scholarly knowledge exchange within engineering-focused academic communities.

  • Participation in peer-reviewed engineering publication activities.
  • Contribution to internationally indexed research dissemination.
  • Engagement in interdisciplinary technical and engineering research.
  • Support for collaborative academic communication and scientific exchange.

Publications

The Scopus profile associated with Yuriy Perevalov documents scholarly outputs and citation indicators connected to Engineering and technological research dissemination.[1] Publication indexing through international academic databases supports accessibility, citation tracking, and interdisciplinary scientific communication.[4] Digital research identifiers including ORCID, Google Scholar, and ResearchGate profiles support publication discoverability, citation accessibility, and professional academic visibility within international scholarly environments.[2][3]

  1. Peer-reviewed journal and conference publications related to engineering research.
  2. Indexed scientific outputs contributing to technical academic communication.
  3. Research dissemination through internationally recognized scholarly systems.

Research Impact

Research impact may be evaluated through citation activity, publication indexing, scholarly engagement, and interdisciplinary relevance. The academic metrics associated with Yuriy Perevalov indicate measurable participation in engineering research communication and scientific dissemination activities.[1] Recognition through international academic award frameworks may contribute to institutional visibility, collaborative networking, and broader participation in global scholarly initiatives and scientific dialogue.[4]

Award Suitability

The academic profile of Yuriy Perevalov reflects characteristics commonly associated with scholarly recognition programs, including publication activity, interdisciplinary engagement, citation visibility, and sustained participation in scientific communication through internationally indexed research systems.[1] The researcher’s scholarly activities within Engineering and related technological fields contribute to technical innovation, collaborative inquiry, and broader academic dissemination objectives within modern scientific research environments.

Conclusion

Yuriy Perevalov’s academic profile demonstrates participation in engineering scholarship, interdisciplinary scientific communication, and internationally indexed research dissemination. Indexed publications, citation indicators, and professional academic visibility collectively support recognition within international scholarly and technological communities.[1] The Best Faculty Award under the Global Scholar Awards framework represents acknowledgment of scholarly engagement, institutional contribution, and continued participation in global academic and research systems.[4]

References

  1. Elsevier. (n.d.). Scopus author details: Yuriy Perevalov, Author ID 57200258235. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=57200258235
  2. ORCID. (n.d.). ORCID researcher profile for Yuriy Perevalov.

    https://orcid.org/0000-0001-8703-7815
  3. Google Scholar. (n.d.). Scholar profile of Yuriy Perevalov.

    https://scholar.google.com/citations?user=H-xf6RkAAAAJ&hl=en&oi=sra
  4. ResearchGate. (n.d.). ResearchGate profile of Yuriy Perevalov.

    https://www.researchgate.net/profile/Yuriy-Perevalov-2

Shahid Latif | Computer Science | Innovative Research Award

Published on by Global Scholar Awards

Innovative Research Award

Shahid Latif
University of the West of England, United Kingdom

Shahid Latif
Researcher Shahid Latif
Affiliation University of the West of England
Country United Kingdom
Scopus ID 57216963065
Documents 42
Citations 1,494
h-index 14
Subject Area Computer Science
Event Global Scholar Awards
ORCID 0000-0002-6368-2729

The Innovative Research Award recognizes the scholarly achievements and research contributions of Shahid Latif from the University of the West of England, United Kingdom. The recognition highlights academic engagement within the field of Computer Science and acknowledges contributions to interdisciplinary technological research, scientific dissemination, and internationally indexed scholarly communication.[1] The award reflects measurable academic visibility through citation performance, publication activity, and collaborative research participation within global scientific communities.[2]

Abstract

Shahid Latif maintains an internationally visible academic research profile associated with Computer Science and interdisciplinary technological innovation. The researcher’s scholarly activities include peer-reviewed publication, citation-based impact, and international research dissemination through recognized academic platforms.[1] Research visibility and scholarly engagement are further supported through academic identifiers and professional research networking systems.[2]

Keywords

  • Computer Science
  • Artificial Intelligence
  • Research Innovation
  • Scholarly Publications
  • Academic Impact
  • Scopus Indexed Research
  • Interdisciplinary Technology

Introduction

Academic recognition frameworks are designed to acknowledge scholarly excellence, publication visibility, research dissemination, and interdisciplinary scientific contribution. The Innovative Research Award associated with the Global Scholar Awards recognizes researchers demonstrating measurable academic impact and engagement within internationally indexed research environments.[1] Shahid Latif’s academic profile reflects sustained participation in Computer Science research and collaborative technological inquiry. Citation indicators, indexed publications, and scholarly networking profiles collectively demonstrate academic engagement and scientific communication within contemporary research systems.[3]

Research Profile

Shahid Latif is affiliated with the University of the West of England in the United Kingdom and maintains an internationally indexed Scopus author profile documenting research output, citations, and scholarly visibility.[1] The profile currently reflects forty-two indexed documents, 1,494 citations, and an h-index value of fourteen, indicating active scholarly participation and measurable academic impact. Research activities associated with the scholar are connected to Computer Science, intelligent systems, computational innovation, and interdisciplinary technological applications. Scholarly communication through international academic databases supports discoverability and global research accessibility.

Research Contributions

The scholarly contributions associated with Shahid Latif include participation in peer-reviewed research publication, citation-based dissemination, and interdisciplinary computational investigation. Indexed publications contribute to international scientific accessibility and broader academic communication within technological research communities.[1]

  • Contribution to peer-reviewed scientific publication and interdisciplinary research dissemination.
  • Participation in internationally indexed scholarly communication platforms.
  • Research engagement in intelligent computational systems and technological innovation.
  • Support for collaborative scientific inquiry and citation-based academic impact.

Publications

The Scopus author profile associated with Shahid Latif documents scholarly outputs indexed through internationally recognized academic databases.[1] Publication activity contributes to citation-based evaluation, academic visibility, and interdisciplinary scientific communication.[4]  Professional research identifiers including ORCID, Google Scholar, and ResearchGate profiles support discoverability, verification, and accessibility of scholarly contributions within international academic systems.[2][3]

  1. Research articles related to Computer Science and intelligent computational systems.
  2. Peer-reviewed journal and conference publications indexed within scholarly databases.
  3. Academic outputs contributing to citation-based dissemination and scientific accessibility.

Research Impact

Research impact is commonly evaluated through publication visibility, citation activity, scholarly accessibility, and interdisciplinary relevance. Citation metrics associated with Shahid Latif demonstrate measurable engagement within the international research community and broader scientific communication networks.[1] Academic recognition through international award frameworks may support collaboration, institutional engagement, and continued participation in global research initiatives associated with Computer Science and technological innovation.

Award Suitability

The academic profile of Shahid Latif reflects characteristics commonly associated with scholarly recognition programs, including indexed publication activity, measurable citation performance, interdisciplinary engagement, and participation in internationally visible research dissemination systems.[1] Research visibility through professional academic identifiers and scholarly networking systems further supports recognition within contemporary scientific communication environments.[2][4]

Conclusion

Shahid Latif’s scholarly profile demonstrates sustained participation in academic publication, interdisciplinary technological inquiry, and international research dissemination associated with Computer Science and innovation-oriented scientific investigation. Indexed publications, citation indicators, and professional academic profiles collectively support visibility within global scholarly systems.[1] The Innovative Research Award represents recognition of ongoing scholarly engagement, academic communication, and participation in internationally recognized research environments supported through citation databases and professional research identification systems.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Shahid Latif, Author ID 57216963065. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57216963065
  2. ORCID. (n.d.). ORCID researcher profile for Shahid Latif.
    https://orcid.org/0000-0002-6368-2729
  3. Google Scholar. (n.d.). Scholar profile of Shahid Latif.
    https://scholar.google.com/citations?user=CThRoJQAAAAJ&hl=en
  4. ResearchGate. (n.d.). ResearchGate profile of Shahid Latif.
    https://www.researchgate.net/profile/Shahid-Latif-11

Yonghuang Wu | Computer Science | Research Excellence Award

Published on by Global Scholar Awards

Research Excellence Award

Yonghuang Wu
Fudan University, China

Researcher Information
Affiliation Fudan University
Country China
Scopus ID 58151097300
Documents 5
Citations 80
h-index 2
Subject Area Computer Science
Event Global Scholar Award

The Research Excellence Award recognition profile for Mr. Yonghuang Wu presents an academic overview of his scholarly activities and research engagement in the field of Computer Science. Affiliated with Fudan University, China, Mr. Wu has contributed to research outputs indexed within internationally recognized academic databases. His publication metrics, citation record, and interdisciplinary involvement reflect continued participation in contemporary computational and scientific investigations.[1][3]

Abstract

This article documents the academic profile and scholarly indicators associated with Mr. Yonghuang Wu of Fudan University. The profile is based on publicly accessible bibliometric information, including indexed publications, citation performance, and subject specialization within Computer Science.[1][2]

Keywords

Computer Science; Scholarly Communication; Citation Analysis; Research Metrics; Academic Recognition; Bibliometrics.[1]

Introduction

Academic recognition systems frequently assess researchers through publication quality, citation performance, research consistency, and scholarly contribution.[2][4]

Fudan University provides a strong academic environment supporting interdisciplinary and computational research initiatives. Mr. Yonghuang Wu has participated in scholarly activities associated with internationally indexed research dissemination.[1][4]

Research Profile

Mr. Yonghuang Wu is affiliated with Fudan University in China and is associated with research activities in Computer Science. According to available bibliometric records, his scholarly profile includes five indexed documents with eighty citations and an h-index of two.[1]

Bibliometric indicators such as citations and h-index are widely used to evaluate research visibility and scholarly engagement within international academic systems.[2]

Research Contributions

The research contributions associated with Mr. Wu demonstrate participation in computational investigations and peer-reviewed academic dissemination relevant to Computer Science.[1]

Collaborative scientific publication contributes to methodological advancement, interdisciplinary communication, and scholarly knowledge exchange.

Publications

The publication portfolio associated with Mr. Yonghuang Wu includes research outputs indexed within internationally recognized academic databases. Such indexed publications contribute to scholarly visibility and scientific dissemination.[1]

Research Impact

Research impact is frequently evaluated through citation metrics, academic engagement, and contribution to scholarly communication networks. Citation activity associated with Mr. Wu reflects measurable research dissemination.[1][2]

Award Suitability

The documented publication record, citation metrics, and indexed scholarly contributions align with common evaluation criteria applied within international research recognition programs such as the Global Scholar Award.[2][4]

Conclusion

This article presents a structured academic overview of Mr. Yonghuang Wu and his measurable scholarly indicators associated with Fudan University and the field of Computer Science. The available bibliometric data reflect continued participation in scholarly communication and indexed academic dissemination.[1][3]

References

  1. Elsevier. (n.d.). Scopus author details: Mr. Yonghuang Wu, Author ID 58151097300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58151097300
  2. Li, Y., Wu, Y., Luo, Y., Sun, L., Qin, Z., Qiu, L., Cao, X., & Cai, X. (2025). Instance-level randomization: Toward more stable LLM evaluations. In Findings of the Association for Computational Linguistics: EMNLP 2025.
    https://doi.org/10.18653/v1/2025.findings-emnlp.182
  3. ORCID. (n.d.). ORCID profile record for Mr. Yonghuang Wu. ORCID Registry.
    https://orcid.org/0000-0002-5804-5573
  4. Global Scholar Awards. (n.d.). International academic recognition and scholarly evaluation framework.
    https://globalscholarawards.com/

Nur Rahman Ahmad Seno Aji | Medicine and Dentistry | Research Excellence Award

Published on by Global Scholar Awards

Mr. Nur Rahman Ahmad Seno Aji | Medicine and Dentistry | Research Excellence Award

Doctoral Researcher | Universitas Gadjah Mada | Finland

Dr. Nur Rahman Ahmad Seno Aji is a distinguished academic and clinical researcher specializing in periodontology, periodontal medicine, geriatric periodontology, and host modulation therapy. As a staff member in the Department of Periodontics at Universitas Gadjah Mada, he has contributed extensively to translational oral healthcare research through innovative studies on biomarker diagnostics, regenerative therapies, and periodontal disease management. His scientific work focuses on active matrix metalloproteinase-8 (aMMP-8), periodontal inflammation, aging periodontal tissues, and oral-systemic disease relationships. Dr. Aji has established strong international research collaborations with scholars from Finland, Greece, and the United Kingdom, resulting in impactful publications in internationally reputed journals. His research contributions have strengthened evidence-based dentistry and advanced precision periodontal diagnostics. Alongside his academic achievements, he actively participates in mentoring, healthcare outreach, and interdisciplinary scientific collaboration, demonstrating commitment to improving global oral healthcare standards and advancing modern periodontal medicine through innovative clinical and translational research approaches.

Professional Profile 

Education

Dr. Nur Rahman Ahmad Seno Aji possesses advanced academic and professional qualifications in dentistry and periodontal medicine. He earned his Doctor of Dental Surgery degree before pursuing postgraduate specialization in Periodontics, followed by MDSc qualifications and subspecialty expertise in Periodontal Medicine. His educational background reflects strong interdisciplinary scientific training integrating clinical dentistry, molecular diagnostics, regenerative biomaterials, and translational healthcare research. Through his academic progression at Universitas Gadjah Mada, he developed specialized expertise in geriatric periodontology, periodontal diagnostics, host modulation therapy, and evidence-based oral healthcare practices. His academic foundation enabled him to participate in international collaborative research involving biomarker diagnostics and periodontal disease monitoring. Continuous scientific learning and advanced clinical training have contributed significantly to his ability to conduct innovative research in periodontal regeneration, molecular biomarkers, and personalized treatment strategies. His qualifications demonstrate a strong commitment to academic excellence, professional development, and advancing modern periodontal healthcare sciences internationally.

Professional Experience

Dr. Nur Rahman Ahmad Seno Aji serves as a faculty member in the Department of Periodontics at Universitas Gadjah Mada, where he contributes to teaching, research, clinical supervision, and interdisciplinary healthcare initiatives. His professional experience includes mentoring dental students, supporting evidence-based periodontal care, and participating in international collaborative projects related to periodontal diagnostics and oral-systemic health. He has demonstrated leadership through involvement in healthcare outreach programs, institutional academic development, and scientific research activities. His work emphasizes the integration of clinical practice with translational biomedical research, particularly in biomarker diagnostics and regenerative periodontal therapies. Dr. Aji has collaborated with researchers and clinicians from multiple countries, contributing to innovative scientific advancements in periodontal medicine. His experience in academic leadership, clinical periodontology, and collaborative healthcare research has strengthened his reputation as a dedicated educator and researcher committed to improving oral healthcare standards and promoting innovative evidence-based dental practices globally.

Research Interest

Dr. Nur Rahman Ahmad Seno Aji has broad research interests centered on periodontal medicine, aging periodontal tissues, host modulation therapy, geriatric periodontology, and biomarker diagnostics. His work particularly focuses on active matrix metalloproteinase-8 (aMMP-8) as a diagnostic biomarker for periodontal and peri-implant diseases. He is also interested in regenerative periodontal therapies involving platelet-rich fibrin, nanofiber membranes, and innovative biomaterials for tissue healing and periodontal regeneration. His studies explore oral-systemic disease relationships, including links between periodontitis, diabetes, cancer, and systemic inflammation. Additionally, he conducts research on artificial intelligence-assisted radiographic analysis for periodontitis detection and evidence-based clinical applications in dentistry. His multidisciplinary scientific interests integrate molecular biology, regenerative medicine, biomedical diagnostics, and clinical periodontology. Through collaborative international research projects, Dr. Aji aims to develop advanced diagnostic technologies and personalized treatment strategies that improve patient outcomes and contribute to modern precision dentistry and translational oral healthcare sciences worldwide.

Award and Honor

Dr. Nur Rahman Ahmad Seno Aji has gained significant academic recognition through his impactful scientific contributions, international collaborations, and growing research visibility in periodontal medicine. His publications in internationally reputed journals such as Biomedicines, Diagnostics, International Journal of Molecular Sciences, and European Journal of Dentistry have earned strong citation impact and academic acknowledgment within the global dental research community. With 131 citations, 15 Scopus-indexed publications, and an h-index of 6, he has established a promising scientific profile in translational periodontal research. His collaborative studies involving researchers from Europe and Asia demonstrate international scientific credibility and professional recognition. Dr. Aji’s contributions to biomarker diagnostics, regenerative periodontal therapy, and oral-systemic disease research have strengthened evidence-based dentistry and modern periodontal healthcare practices. His achievements reflect dedication to research excellence, innovation, academic leadership, and the advancement of global oral healthcare through high-quality scientific investigation and interdisciplinary collaboration.

Conclusion

Dr. Nur Rahman Ahmad Seno Aji is an emerging leader in periodontal medicine and translational oral healthcare research. His expertise in biomarker diagnostics, regenerative therapies, and evidence-based dentistry has contributed significantly to modern periodontal science. Through international collaborations, impactful publications, and dedication to academic and clinical excellence, he demonstrates strong potential for continued leadership and global recognition in periodontal and regenerative dental research.

Publications Top Noted

  • Comparison of Multi-Label U-Net and Mask R-CNN for Panoramic Radiograph Segmentation to Detect Periodontitis
    Authors: R Widyaningrum, I Candradewi, NRAS Aji, R Aulianisa
    Year: 2022
    Citation: Imaging Science in Dentistry 52(4), 383
  • Active Matrix Metalloproteinase-8 (aMMP-8) versus Total MMP-8 in Periodontal and Peri-Implant Disease Point-of-Care Diagnostics
    Authors: IT Räisänen, NRAS Aji, D Sakellari, A Grigoriadis, I Rantala, et al.
    Year: 2023
    Citation: Biomedicines 11(11), 2885
  • In Vivo Regulation of Active Matrix Metalloproteinase-8 (aMMP-8) in Periodontitis: From Transcriptomics to Real-Time Online Diagnostics and Treatment Monitoring
    Authors: NRAS Aji, T Yucel-Lindberg, IT Räisänen, H Kuula, MT Nieminen, et al.
    Year: 2024
    Citation: Diagnostics 14(10), 1011
  • aMMP-8 POCT vs. Other Potential Biomarkers in Chair-Side Diagnostics and Treatment Monitoring of Severe Periodontitis
    Authors: NRAS Aji, IT Räisänen, N Rathnayake, FT Lundy, MTC Mc Crudden, et al.
    Year: 2024
    Citation: International Journal of Molecular Sciences 25(17), 9421
  • Prediabetes Associates with Matrix Metalloproteinase-8 Activation and Contributes to the Rapid Destruction of Periodontal Tissues
    Authors: KA Umeizudike, NRAS Aji, K Niskanen, I Rantala, D Sakellari, et al.
    Year: 2025
    Citation: European Journal of Dentistry 19(02), 305-314
  • Oral Medicine and Oral Clinical Chemistry Game Changers for Future Plaque Control and Maintenance: PerioSafe® aMMP-8 POCT, Lumoral® 2× PDT-and Lingora® Fermented Lingonberry
    Authors: NRAS Aji, V Sahni, MT Penttala, D Sakellari, A Grigoriadis, et al.
    Year: 2025
    Citation: Dentistry Journal 13(3), 127
  • Evaluation of Bio-Compatibility and Effectiveness of Propolis Tetragonula sp. as Dental Anti-Microbial Agent
    Authors: A Adiningrat, I Maulana, AG Fadhlurrahman, MF Kurniawan, NRAS Aji
    Year: 2023
    Citation: Journal of Stomatology 76(2), 94-100
  • Effect of the Application of Curcumin (Curcuma longa) Oral Gel on Periodontal Inflammation in Patients with Type 2 Diabetes Mellitus
    Authors: NR Aji, VM Karina, OA Hafiyyah, K Murdiastuti, A Syaify
    Year: 2022
    Citation: Maj Kedokt Gig Indones 7(3), 160-164

Aleeza Adeel | Computer Science | Research Excellence Award

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Mrs. Aleeza Adeel | Computer Science | Research Excellence Award

The University of Waikato | New Zealand

Mrs. Aleeza Adeel is a Ph.D. student at the School of Computing and Mathematical Sciences, University of Waikato, New Zealand, specializing in digital twin frameworks, sustainable energy systems, and user-centered computing solutions. Her research focuses on developing interoperable and scalable digital twin technologies to optimize energy system management, enhance operational efficiency, and support sustainable resource utilization. She has contributed to peer-reviewed publications, including a recent article in Energies on an interoperable user-centered digital twin framework, demonstrating her commitment to integrating advanced computational models with real-world energy systems. Aleeza collaborates with interdisciplinary researchers, including experts in energy management and computational modeling, to ensure her work addresses both technical rigor and societal relevance. Her research contributes to sustainable energy transitions by providing data-driven, user-centric solutions that improve system performance, reduce environmental impact, and support informed decision-making in complex energy infrastructures.

Profile: View ORCID Profile 

Featured Publication


An Interoperable User‑Centred Digital Twin Framework for Sustainable Energy System Management

– Adeel, A., Apperley, M., & Walmsley, T. G., Energies, 2026, 19(2), Article 333

Miroslaw Kozielski | Computer Science | Best Researcher Award

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Mr. Miroslaw Kozielski | Computer Science | Best Researcher Award

Kazimierz Wielki University | Poland

Mr. Mirosław Kozielski is a researcher at Kazimierz Wielki University in Bydgoszcz, Poland, specializing in computer science, with a strong focus on natural language processing (NLP), industrial informatics, and Industry 4.0/5.0 technologies. His research addresses the use of intelligent language-based systems for automated industrial documentation, knowledge representation, and digital transformation in modern manufacturing environments. He has authored 7 peer-reviewed publications, which have accumulated 35 citations, and holds an h-index of 3, reflecting a focused and emerging academic impact. Dr. Kozielski collaborates with interdisciplinary teams, contributing to the integration of artificial intelligence with industrial and organizational processes. His work supports the development of efficient, human-centric, and sustainable industrial systems, with societal impact through improved documentation quality, enhanced knowledge accessibility, and the practical adoption of advanced AI-driven solutions in contemporary industrial ecosystems.

Citation Metrics (Scopus)

35
25
15
5
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Citations

35

Documents

7

h-index

3

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Documents

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View Scopus Profile
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Featured Publications

Daulet Berikbol | Oncology | Scientific Advancement Achievement Award

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Dr. Daulet Berikbol | Oncology | Scientific Advancement Achievement Award

UMIT International Oncology Center for Tomotherapy, LLP | Kazakhstan

Dr. Berikbol Daulet is a medical researcher at the UMIT International Oncological Center of Tomotherapy, Astana, Kazakhstan, with expertise in radiation oncology, tomotherapy, and advanced cancer treatment strategies. His research focuses on integrating precision radiotherapy with immunological and cellular therapies to improve outcomes in complex and advanced-stage cancers. He has authored 4 peer-reviewed publications, received 2 citations, and holds an h-index of 1, reflecting focused and emerging contributions to clinical oncology. Dr. Daulet actively engages in multidisciplinary clinical and translational research, contributing to collaborative studies that bridge radiotherapy and immunotherapy. His recent open-access case report on combined tomotherapy and autologous peripheral-blood–derived lymphocyte infusion for stage IIIa lung cancer highlights innovative, patient-centered treatment approaches, particularly for elderly patients. Through applied clinical research, he supports evidence-based oncology practice, advances modern cancer treatment technologies, and contributes to improved patient outcomes and broader societal benefit in healthcare.

Citation Metrics (Scopus)

4
3
2
1
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2

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4

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1

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Shibo Li | Materials Science | Research Excellence Award

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Prof. Shibo Li | Materials Science | Research Excellence Award

Professor | Beijing Jiaotong University | China

Prof. Shibo Li is a distinguished materials scientist at Beijing Jiaotong University, China, specializing in MAX phases, MXenes, advanced ceramics, and functional coatings. He has authored over 163 peer-reviewed publications, 5,203 citations with an h-index of 43, reflecting sustained, high-impact contributions to materials science. His research focuses on the synthesis–structure–property relationships of two-dimensional MXenes, carbonitride MAX phases, and ceramic-based functional materials with applications in electromagnetic wave absorption, energy storage, electronics, and thermal management. Professor Li actively collaborates with a broad international network of researchers, fostering interdisciplinary innovation across physics, chemistry, and engineering. His work has advanced scalable material synthesis and tunable functional properties, contributing to next-generation electronic devices, energy-efficient technologies, and national strategic materials development, thereby delivering significant scientific and societal impact.

Citation Metrics (Scopus)

5203
4000
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5,203

Documents

163

h-index

43

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 View ORCID Profile
 View ResearchGate Profile

Featured Publications