Livija Cveticanin | Nonlinear Vibrations | Best Researcher Award

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Best Researcher Award

                         Livija Cveticanin
Affiliation University of Novi Sad, Faculty of Technical Sciences
Country Serbia
Scopus 7004474480
Documents 219
Citations 3104
h-index 30
Subject Area Nonlinear Vibrations
Event International Research Scientist Awards
Google Scholar Li19f7MAAAAJ

Livija Cveticanin University of Novi Sad, Faculty of Technical SciencesThe Best Researcher Award recognizes distinguished scholarly achievement, sustained scientific productivity, and influential contributions to research advancement. This article highlights the academic profile, research accomplishments, publication record, and scientific impact of Livija Cveticanin, whose work has significantly contributed to the field of nonlinear vibrations and applied mechanics.[1]

Abstract

Livija Cveticanin is an established researcher recognized for contributions to nonlinear dynamics, vibration analysis, and mathematical modeling. Her extensive publication record, citation performance, and sustained academic activity demonstrate significant influence within engineering and applied mathematics communities. These achievements support consideration for distinguished international research recognition.[1]

Keywords

Nonlinear Vibrations, Applied Mechanics, Mathematical Modeling, Dynamical Systems, Engineering Analysis, Scientific Research, Academic Excellence, Research Impact

Introduction

Livija Cveticanin has developed a notable academic career centered on nonlinear vibrations and dynamic system analysis. Her research activities have contributed to theoretical and applied engineering problems, supporting advancements in mathematical methods used across mechanical and structural engineering disciplines. Her scholarly profile reflects sustained scientific engagement and international visibility.[1][2]

Research Profile

Affiliated with the University of Novi Sad, Faculty of Technical Sciences, Cveticanin has established expertise in nonlinear dynamics, oscillatory systems, and analytical mechanics. Her academic output includes numerous peer-reviewed publications and collaborations addressing complex engineering phenomena through advanced mathematical modeling and computational approaches.[1][3]

Research Contributions

Her contributions focus on nonlinear vibration theory, resonance behavior, dynamic stability, and analytical solution techniques for engineering systems. Through innovative mathematical formulations and practical engineering applications, her studies have enhanced understanding of nonlinear responses in mechanical structures and complex dynamical environments.[2][4]

Publications

According to indexed academic databases, Cveticanin has authored or co-authored more than 219 scholarly documents. Her publications appear in recognized journals and conference proceedings, covering nonlinear mechanics, vibration engineering, applied mathematics, and interdisciplinary scientific research. The breadth of her publication record demonstrates sustained productivity.[1][4]

Research Impact

The researcher has accumulated more than 3,100 citations and achieved an h-index of 30, indicating substantial influence within her discipline. Citation metrics suggest that her work is frequently referenced by scholars investigating nonlinear systems, vibration theory, and related engineering applications across international research communities.[1][3]

Award Suitability

The combination of extensive publications, strong citation performance, recognized expertise, and long-term contributions to nonlinear vibration research aligns closely with the objectives of the Best Researcher Award. Her academic achievements demonstrate excellence in research productivity, knowledge generation, and scientific leadership within a specialized engineering field.[1][5]

Conclusion

Livija Cveticanin’s academic record reflects significant dedication to advancing nonlinear vibration research and applied mathematical sciences. Her publication history, citation impact, and scholarly contributions support recognition through prestigious research awards that acknowledge excellence, innovation, and sustained influence in scientific investigation.[1][5]

References

  1. Elsevier. (n.d.). Scopus author details: Livija Cveticanin, Author ID 7004474480. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7004474480
  2. Vibrations of the nonlinear oscillator with quadratic nonlinearity.
    https://www.sciencedirect.com/science/article/abs/pii/S0378437104005278?via%3Dihub
  3. Homotopy–perturbation methodforpure nonlinear differential equation.
    https://www.sciencedirect.com/science/article/abs/pii/S0960077905008593?via%3Dihub
  4. Dynamic modeling of a pneumatic muscle actuator with two-direction motion .
    https://www.sciencedirect.com/science/article/abs/pii/S0094114X14002717 
  5. International Research Scientist Awards. (n.d.). Best Researcher Award Evaluation Framework.
    https://researchscientist.net/

Amin Shabani Ammari | Engineering | Research Excellence Award

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Research Excellence Award

Amin Shabani Ammari
Affiliation Chabahar Maritime University
Country Iran
Scopus 59956322500
Documents 2
Citations 9
h-index 1
Subject Area Engineering
Event International Research Scientist Awards

Amin Shabani Ammari is affiliated with Chabahar Maritime University in Iran and is associated with research activities in the field of Engineering. His scholarly profile indexed in Scopus reflects contributions to engineering-oriented academic literature, including publications and citations relevant to maritime and technical research domains.[1] The recognition under the International Research Scientist Awards highlights ongoing academic engagement and emerging research visibility within international scholarly platforms.[2]

Abstract

This article presents an overview of the academic profile and scholarly recognition associated with Amin Shabani Ammari of Chabahar Maritime University. The profile reflects documented scholarly contributions in Engineering, including indexed publications, citation metrics, and research visibility through Scopus indexing.[1] The recognition connected to the International Research Scientist Awards emphasizes participation in academic dissemination and professional engagement within engineering-oriented research communities.[2]

Keywords

Engineering; Maritime Research; Scopus Author Profile; Research Recognition; Academic Contributions; Scholarly Publications; Citation Metrics; International Research Scientist Awards.[1]

Introduction

Academic recognition programs often evaluate researchers on the basis of publication records, citation performance, institutional affiliation, and subject-specific contributions. Within engineering disciplines, indexed scholarly communication plays an important role in evaluating research influence and scientific participation.[3] Amin Shabani Ammari’s academic profile reflects measurable research engagement through Scopus-indexed documentation and engineering-related scholarly outputs.[1]

The International Research Scientist Awards serve as a platform for recognizing academic efforts across multiple disciplines and geographical regions. Such recognitions contribute to visibility within global research networks and encourage continued scholarly activity in emerging and specialized areas of study.[2]

Research Profile

Amin Shabani Ammari is associated with Chabahar Maritime University, an institution engaged in maritime and engineering education and research activities in Iran.[4] The available Scopus author profile identifies documented academic outputs and citation statistics that contribute to the researcher’s scholarly footprint within Engineering disciplines.[1]

  • Institutional Affiliation: Chabahar Maritime University
  • Country of Academic Activity: Iran
  • Indexed Subject Area: Engineering
  • Scopus Indexed Documents: 2
  • Total Citations: 9
  • h-index: 1

Research Contributions

The research contributions associated with Amin Shabani Ammari are aligned with engineering-related scholarly activity and technical academic communication. Research dissemination through indexed journals and databases supports academic visibility and contributes to broader disciplinary exchange within engineering and maritime research environments.[1]

Engineering research frequently emphasizes technical innovation, applied methodologies, and interdisciplinary collaboration. Contributions documented through citation databases help establish measurable indicators of research dissemination and engagement within the scientific community.[3]

Publications

The available Scopus profile identifies indexed publications connected to Amin Shabani Ammari. Publication indexing supports discoverability, citation tracking, and scholarly evaluation within international academic databases.[1]

  1. Engineering-related scholarly publication indexed within the Scopus database framework.[1]
  2. Technical academic contribution associated with maritime or engineering-oriented research dissemination.[4]

Research Impact

Research impact is commonly assessed using citation metrics, publication indexing, and academic visibility within recognized databases. The available citation count and h-index associated with Amin Shabani Ammari indicate measurable scholarly interaction and evidence of referenced academic work within engineering research contexts.[1]

Although bibliometric indicators represent only one dimension of academic contribution, they remain widely used in evaluating research productivity, visibility, and influence across scientific communities.[3]

Award Suitability

The academic profile associated with Amin Shabani Ammari demonstrates characteristics commonly evaluated in international academic recognition programs, including institutional affiliation, indexed research documentation, and evidence of scholarly dissemination.[2] Participation in Engineering research activities and inclusion within recognized indexing systems support eligibility considerations for research-oriented academic awards.[1]

Recognition through research awards may contribute to expanded professional visibility, interdisciplinary collaboration opportunities, and continued participation in international academic initiatives.[2]

Conclusion

The scholarly profile of Amin Shabani Ammari reflects participation in Engineering research through indexed publications and measurable citation metrics documented within Scopus.[1] The association with Chabahar Maritime University and recognition linked to the International Research Scientist Awards indicate continued engagement in academic dissemination and professional scholarly activities.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Amin Shabani Ammari, Author ID 59956322500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59956322500
  2. International Research Scientist Awards. (n.d.). Official event and recognition platform.
    https://researchscientist.net/
  3. Cronin, B., & Sugimoto, C. R. (2014). Scholarly metrics under the microscope. Information Today.
    https://doi.org/10.1016/j.acalib.2011.02.006
  4. Chabahar Maritime University. (n.d.). Institutional overview and academic information.
    https://cmu.ac.ir/en

Zhuming Cao | Engineering | Research Excellence Award

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Mr. Zhuming Cao | Engineering | Research Excellence Award

Xiamen Institute of Technology | China

Mr. Zhuming Cao, affiliated with Xiamen Institute of Technology, China, is an accomplished researcher in mechanical engineering with expertise in intelligent manufacturing, CNC systems, and digital twin technologies. His recent publication in Machines (2026) highlights advanced predictive maintenance using innovation-adaptive sensor fusion and uncertainty-aware prognostics. With over 60 academic publications, multiple patents, and active leadership in funded research projects, his work significantly advances smart manufacturing and industrial digitalization. He has established strong industry collaborations, contributing to technology transfer and practical innovation. His research demonstrates measurable societal impact through enhanced manufacturing efficiency, workforce skill development, and the integration of academia with industry applications.

View ORCID  Profile

Featured Publications

Ardy Arsyad | Engineering | Research Excellence Award

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Assoc. Prof. Dr. Ardy Arsyad | Engineering | Research Excellence Award

Universitas Hasanuddin | Indonesia

Assoc. Prof. Dr. Ardy Arsyad is an Associate Professor at Hasanuddin University, Indonesia, with expertise in geotechnical earthquake engineering, soil stabilization, and landslide hazard assessment. He has authored numerous Web of Science and Scopus-indexed publications, contributing over 221 citations with an h-index of 7. His research spans liquefaction analysis, sustainable road materials, and advanced modeling of geohazards, including landmark studies on the 2018 Sulawesi earthquake. He collaborates internationally with scholars such as Yasuhiro Mitani. His work supports resilient infrastructure development, environmental sustainability, and disaster risk reduction, delivering significant societal impact in hazard-prone regions.

Citation Metrics (Scopus)

400

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200

100

0

Citations
221

Documents
58

h-index
7

🟦 Citations 🟥 Documents 🟩 h-index

View Scopus Profile
       View ORCID Profile
        View Google Scholar Profile

Featured Publications

Large distance flow-slide at Jono-Oge due to the 2018 Sulawesi Earthquake, Indonesia.

– Soils and Foundations, 61(1), 239–255. (2021). Cited By: 65

Large-scale flowslide in Sibalaya caused by the 2018 Sulawesi earthquake.

– Soils and Foundations, 60(4), 1050–1063. (2020). Cited By: 52

Bioremediation of coal contaminated soil as the road foundations layer.

– International Journal of GEOMATE, 21(84), 76–84. (2021). Cited By: 21

Landslide susceptibility mapping along road corridors in west Sulawesi using GIS-AHP models.

– IOP Conference Series: Earth and Environmental Science, 419(1), 012080. (2020). Cited By; 18

 

Xingyu Zhou | Engineering | Research Excellence Award

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Prof. Xingyu Zhou | Engineering | Research Excellence Award

Assistant Professor | Beijing Institute of Technology | China

Prof. Xingyu Zhou is an Associate Professor at the School of Mechanical Engineering, Beijing Institute of Technology, China, specializing in renewable energy systems and electric vehicle (EV) powertrain optimization. His research integrates deep learning, stochastic modeling, and co-optimization techniques to enhance EV efficiency, safety, and ecological performance. He has authored 30 publications, cited over 494 Citations, and maintains collaborations with 36 co-authors, contributing to high-impact journals such as Applied Energy and Journal of Power Sources. Prof. Zhou’s work on predictive speed planning, powertrain energy management, and renewable energy integration advances sustainable transportation solutions, promoting environmentally responsible and technologically innovative mobility systems globally.

Citation Metrics (Scopus)

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Citations
494

Documents
30

h-index
11

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications

Sabitha Vemula | Engineering | Best Researcher Award

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Mrs. Sabitha Vemula | Engineering | Best Researcher Award

Associate Professor | Vaagdevi College Of Engineering | India

Mrs. Sabitha Vemula  is an Associate Professor at Vaagdevi College of Engineering with expertise in signal and image processing, medical image analysis, machine learning, and VLSI-related systems. Her research is strongly focused on MRI-based brain tumor detection and classification, integrating kernel methods, support vector machines, convolutional neural networks, and transformer architectures. She has authored over 7 peer-reviewed publications in international journals, IEEE/Elsevier conference proceedings, and edited volumes, accumulating more than 37 citations. Her work reflects sustained interdisciplinary collaboration and contributes to improved diagnostic accuracy, healthcare decision support, and intelligent imaging systems with clear societal and clinical relevance.

Citation Metrics (Google Scholar)

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Citations
37

Documents
7

h-index
2

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Featured Publications

Ei Mehdi Chakour | Computer Science | Research Excellence Award

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Dr. Ei Mehdi Chakour | Computer Science | Research Excellence Award

Research Postdoc | Université Sidi Mohamed Ben Abdellah | Morocco

Dr. Ei Mehdi Chakour is a researcher at Université Sidi Mohamed Ben Abdellah, Fez, Morocco, specializing in medical image analysis and deep learning applications for ophthalmology, particularly diabetic retinopathy detection. With four peer-reviewed publications and 16 citations, Dr. Chakour has contributed to advancements in retinal image segmentation, enhancement, and severity classification using dynamic preprocessing, mathematical morphology, and transfer learning techniques. His collaborative work involves 11 co-authors across international conferences and journals, reflecting a strong commitment to interdisciplinary research. Through the development of mobile-based deep learning systems, his work demonstrates significant societal impact by enabling earlier, accessible, and accurate diabetic retinopathy screening.

Citation Metrics (Scopus)

80

60

40

20

0

Citations
16

Documents
4

h-index
2

🟦 Citations 🟥 Documents 🟩 h-index

View Scopus Profile
             View ORCID Profile

Featured Publications


Mobile‑based deep learning system for early detection of diabetic retinopathy.

– Intelligence‑Based Medicine. Advance online publication. (2025). 

Transfer learning for severity and stages detection of diabetic retinopathy.

-Embedded Systems and Artificial Intelligence (ESAI) . (2024).

Blood vessel segmentation of retinal fundus images using dynamic preprocessing and mathematical morphology.

– International Conference on Control, Decision and Information Technologies (CoDIT). (2022). 

Yirga Munaye | Computer Science | Best Researcher Award

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Assoc. Prof. Dr. Yirga Munaye | Computer Science | Best Researcher Award

Postdoctoral Researcher | Bahir Dar University | Ethiopia

Dr. Yirga Munaye is a distinguished researcher at Bahir Dar University, Ethiopia, specializing in wireless communication, UAV systems, artificial intelligence, IoT, and cybersecurity. With 36 publications and 599 citations, he has made significant contributions to UAV positioning, indoor/outdoor localization, deep learning for resource management, and secure network infrastructures. His collaborations span 36 international co-authors, reflecting strong interdisciplinary and global engagement. Dr. Munaye’s research addresses critical societal challenges, including smart connectivity, network optimization, and AI-driven security solutions, advancing both theoretical knowledge and practical applications in emerging technologies worldwide.

Citation Metrics (Scopus)

800

600

400

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0

Citations
599

Documents
36

h-index
11

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications

 

Ahmed El-Sherbeeny | Human Factors Engineering | Best Researcher Award

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Dr. Ahmed El-Sherbeeny | Human Factors Engineering | Best Researcher Award

Assistant Professor | King Saud University  | Saudi Arabia

Dr. Ahmed M. El-Sherbeeny is an Assistant Professor of Industrial Engineering at King Saud University, specializing in safety engineering, human factors and ergonomics, and environmental engineering. With an extensive interdisciplinary research portfolio, he has contributed significantly to high-impact domains including public health, intelligent systems, machine learning, environmental remediation, and industrial sustainability. His scholarly impact is reflected in 456 publications 7,784 citations, an h-index of 44, and an i10-index of 135, positioning him as a highly influential researcher within and beyond his primary discipline.Dr. El-Sherbeeny has collaborated on several landmark global studies most notably the Recovery trials published in The Lancet, which transformed clinical decision-making for COVID-19 treatment. His co-authored works on Tocilizumab Casirivimab/Imdevimab Azithromycin Baricitinib and corticosteroid therapy collectively account for thousands of citations underscoring his role in research that shaped international health policies. Beyond clinical research he has made notable contributions to intelligent security frameworks for electric vehicles machine-learning-driven medical diagnostics and blockchain-based IoT access control demonstrating strong engagement with emerging technological frontiers.In the environmental and materials engineering domains his publications address photocatalytic degradation nanocomposites for pollutant removal drug-delivery materials groundwater quality assessment and energy-efficient systems reflecting an impressive breadth of problem-solving across sustainability and environmental protection. His collaborative works span multiple continents involving international teams from engineering medical sciences environmental chemistry and computational intelligence.Dr. El-Sherbeeny’s research outputs appearing in top-tier journals such as The Lancet Chemical Engineering Journal Journal of Hazardous Materials ACS Omega and IEEE Access highlight both methodological rigor and societal impact. His contributions advance safer industrial systems enhance public health resilience support data-driven environmental management and promote technologically integrated solutions for global sustainability challenges.

Profiles : ORCID | Scopus | Google Scholar

Featured Publications

1.Avatefipour, O., Al-Sumaiti, A. S., El-Sherbeeny, A. M., Awwad, E. M., & Elmeligy, M. A. (2019). An intelligent secured framework for cyberattack detection in electric vehicles’ CAN bus using machine learning. Cited By : 185

2.Nadeem, A., Ahmad, S. F., Al-Harbi, N. O., Fardan, A. S., & El-Sherbeeny, A. M. (2017). IL-17A causes depression-like symptoms via NFκB and p38MAPK signaling pathways in mice: Implications for psoriasis associated depression.
Cited By : 172

3.Nadeem, A., Al-Harbi, N. O., Al-Harbi, M. M., El-Sherbeeny, A. M., & Ahmad, S. F. (2015). Imiquimod-induced psoriasis-like skin inflammation is suppressed by BET bromodomain inhibitor in mice through RORC/IL-17A pathway modulation. Pharmacological Research, 99, 248–257.  Cited By : 132

4.Mahum, R., Rehman, S. U., Meraj, T., Rauf, H. T., Irtaza, A., & El-Sherbeeny, A. M. (2021). A novel hybrid approach based on deep CNN features to detect knee osteoarthritis. Cited By : 117

5.Yang, X., Wang, J., El-Sherbeeny, A. M., AlHammadi, A. A., & Park, W. H. (2022). Insight into the adsorption and oxidation activity of a ZnO/piezoelectric quartz core-shell for enhanced decontamination of ibuprofen: Steric, energetic, and oxidation studies. Cited By : 98

Dr. Ahmed M. El-Sherbeeny’s interdisciplinary research integrates industrial engineering, machine learning, and environmental sciences to advance public health, industrial safety, and sustainable technologies. His work informs global healthcare strategies, enhances intelligent systems, and drives innovative solutions with broad societal and industrial impact.

Tzu Wen Kuo | Engineering | Editorial Board Member

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Assist. Prof. Dr Tzu Wen Kuo | Engineering | Editorial Board Member

Architect | Private Chinese Culture University  | Taiwan

Assist. Prof. Dr Tzu Wen Kuo is a dedicated scholar and practitioner in the field of technological disaster prevention, currently serving as a Lecturer in the Department of Architecture and Urban Design at the Chinese Culture University in Taipei, Taiwan. He is also a practicing architect and an active instructor for architectural license examination preparation, demonstrating a strong commitment to bridging academic knowledge with professional practice. Kuo is presently pursuing his PhD in the Department of Architecture at the National Taiwan University of Science and Technology, where his doctoral research focuses on enhancing safety, resilience, and emergency response mechanisms in built environments.Kuo’s research centers on integrating advanced technologies into disaster prevention frameworks, particularly with respect to fire safety, emergency evacuation, and smart building systems. His scholarly contributions reflect a strong emphasis on simulation-based analysis, digital tools, and mobile-assisted evacuation strategies. He has authored multiple peer-reviewed journal articles, including recent works published in Fire and the International Journal of Environmental Research and Public Health. His studies ranging from QR code-enabled fire rescue notification systems to smartphone-based evacuation guidance and stadium evacuation efficiency—highlight his interdisciplinary approach that combines architecture, information technology, and public safety engineering.Through collaborations with academic and industry experts, Kuo contributes to practical solutions that strengthen building safety management and emergency preparedness across various public infrastructures. His work provides empirical insights that support policymakers, architects, and safety professionals in developing more efficient, technology-enhanced disaster response strategies. With growing citations and recognition in the field, Kuo’s research continues to advance the integration of smart technologies into architectural planning and urban safety systems.

Profile : ORCID 

Featured Publications

1.Yang, C.-H., Lin, C.-Y., & Kuo, T.-W. (2025). Simulation-based assessment of evacuation efficiency in sports stadiums: Insights from case studies. Fire, 8(6), 210.

2.Kuo, T.-W., & Lin, C.-Y. (2025). Smart building technologies for fire rescue: A QR code-enabled notification system. Fire, 8(3), 114..

3.Kuo, T.-W., Lin, C.-Y., Chuang, Y.-J., & Hsiao, G. L.-K. (2022). Using smartphones for indoor fire evacuation. International Journal of Environmental Research and Public Health, 19(10), 6061.