lian Zhang | Biomedical and Healthcare Applications | Biomedical and Healthcare Applications

Published on by Computer Vision Awards

Innovative Research Award

                              Lian Zhang
Affiliation The First Hospital of Hebei Medical University
Country China
Google Scholar Id w-mkIWUAAAAJ
Documents 27
Citations 901
h-index 14
Subject Area Biomedical and Healthcare Applications
Event Global Tech Excellence Awards

Lian Zhang is affiliated with The First Hospital of Hebei Medical University, China. Available scholarly indicators demonstrate sustained research activity in biomedical and healthcare applications, with a documented publication portfolio, measurable citation impact, and visible academic engagement. This recognition profile has been prepared in the context of the Global Tech Excellence Awards and evaluates the researcher’s scholarly influence, publication performance, and suitability for academic distinction.[1]

Abstract

This assessment summarizes the academic profile of Lian Zhang, highlighting research productivity, citation performance, and scholarly visibility within biomedical and healthcare applications. Available metrics indicate a consistent publication record comprising 27 documented works, supported by 901 citations and an h-index of 14. These indicators suggest meaningful scientific engagement, recognized research outputs, and continuing contribution to healthcare-related knowledge development within the international academic community.[1]

Keywords

Biomedical Research; Healthcare Applications; Citation Impact; Research Evaluation; Scientific Publications; Academic Recognition; Clinical Research; Innovation; Scholarly Contributions; Global Tech Excellence Awards.[2]

Introduction

Academic recognition programs commonly evaluate publication productivity, research influence, and evidence of sustained scholarly activity. Lian Zhang’s documented academic indicators provide a basis for examining contributions to biomedical and healthcare research while considering citation performance and visibility across recognized scholarly databases.[1]

Research Profile

The researcher is affiliated with The First Hospital of Hebei Medical University and has established a publication portfolio containing 27 documented scholarly works. Citation indicators show 901 citations and an h-index of 14, reflecting measurable research visibility and influence within healthcare and biomedical disciplines.[1]

Research Contributions

Available records indicate contributions associated with biomedical and healthcare applications, including clinically relevant research themes and scientific investigations that support evidence-based medical advancement. The research profile demonstrates participation in scholarly dissemination through peer-reviewed publications and internationally accessible academic outputs.[2]

Publications

The publication record comprises 27 documented works indexed through publicly accessible academic profiles. Publication activity reflects sustained engagement with scientific communication and knowledge dissemination, supporting continued visibility among researchers, clinicians, and healthcare practitioners.[1]

Research Impact

Citation accumulation exceeding nine hundred references indicates that published research has attracted measurable scholarly attention. The h-index value further suggests a balanced combination of productivity and citation influence, supporting the conclusion that the researcher’s work has achieved notable academic visibility.[1]

Award Suitability

Based on the available publication metrics, citation indicators, institutional affiliation, and demonstrated scholarly activity, Lian Zhang exhibits characteristics commonly associated with candidates considered for innovation-oriented academic recognition. The profile aligns with evaluation criteria emphasizing measurable research contribution, impact, and professional engagement.[1]

Conclusion

Lian Zhang’s academic record reflects sustained scholarly productivity and visible citation impact within biomedical and healthcare applications. Available indicators support recognition of meaningful research contributions and suggest a profile that demonstrates continued engagement with scientific advancement and healthcare-focused innovation.[1]

References

  1. Google Scholar. (n.d.). Scholar profile: Lian Zhang (User ID: w-mkIWUAAAAJ). Google Scholar.
    https://scholar.google.com/citations?hl=en&user=w-mkIWUAAAAJ
  2. Evaluating large language models on a highly-specialized topic, radiation oncology physics.
    https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2023.1219326/full
  3. The impact of robustness of deformable image registration on contour propagation and dose accumulation for head and neck adaptive radiotherap.
    https://aapm.onlinelibrary.wiley.com/doi/10.1002/acm2.12361
  4. Global Tech Excellence Awards. (n.d.). Award information and recognition framework.
    https://globaltechexcellence.com/

Beyazit Bestami Yuksel | Biomedical and Healthcare Applications | Best Researcher Award

Published on by Computer Vision Awards

Best Researcher Award

Beyazit Bestami YUKSEL
Istanbul Technical University
Beyazit Bestami YUKSEL
Affiliation Istanbul Technical University
Country Turkey
Scopus ID 57221928158
Documents 4
Citations 5
h-index 2
Subject Area Biomedical and Healthcare Applications
Event Global Tech Excellence Awards
ORCID 0000-0001-5060-6236

This academic recognition article presents a structured overview of the scholarly profile of Beyazit Bestami YUKSEL and considers publication activity, citation indicators, disciplinary specialization, and measurable research visibility within biomedical and healthcare application studies. Evaluation under the Best Researcher Award framework emphasizes documented scholarly dissemination, research continuity, and engagement with contemporary scientific inquiry and interdisciplinary innovation.[1]

Abstract

The Best Researcher Award evaluation framework recognizes measurable academic contribution through transparent indicators that include publication output, citation performance, research continuity, and thematic relevance within a defined academic field. Beyazit Bestami YUKSEL’s scholarly profile reflects documented participation in biomedical and healthcare applications supported by indexed publications and observable citation activity. Evaluation emphasizes evidence of research dissemination, engagement with scientific inquiry, and contribution to emerging interdisciplinary developments. Academic recognition within this framework considers both quantitative research indicators and broader scholarly visibility, providing a structured perspective on academic performance and demonstrated involvement in contemporary biomedical and healthcare-oriented research activities..[1]

Keywords

  • Biomedical Research
  • Healthcare Applications
  • Academic Recognition
  • Citation Analysis
  • Research Evaluation

Introduction

Recognition frameworks in contemporary research environments commonly integrate quantitative and qualitative indicators to assess scholarly development. Metrics such as indexed publications, citation accumulation, and disciplinary focus contribute to broader assessments of academic visibility and sustained research engagement.[1]

Research Profile

The available scholarly indicators associated with Beyazit Bestami YUKSEL demonstrate participation in research activity connected to biomedical and healthcare applications. Indexed publication records and citation measures provide a structured basis for evaluating research continuity and academic dissemination.[1]

Research Contributions

Research contributions are considered through documented scholarly outputs and their relevance to evolving healthcare technologies and biomedical implementation contexts. Such contributions support knowledge exchange and provide evidence of active participation within the scientific ecosystem.[2]

Publications

Indexed publication activity serves as a measurable indicator of research dissemination. Publication records contribute to scholarly visibility and facilitate evaluation across citation databases and institutional assessment frameworks.[1]

Research Impact

Citation accumulation and h-index values provide contextual indicators of scholarly engagement and knowledge circulation. These measures represent one component of broader academic evaluation and are interpreted together with publication quality and disciplinary relevance.[1]

Award Suitability

Within the Best Researcher Award framework of the Global Tech Excellence Awards, suitability assessment considers publication evidence, scholarly engagement, and measurable research indicators. Recognition reflects documented academic participation rather than promotional endorsement.[3]

Conclusion

The scholarly profile summarized in this article provides an academic overview of Beyazit Bestami YUKSEL based on available research indicators and recognized evaluation dimensions. The profile illustrates documented engagement in biomedical and healthcare applications and supports structured consideration within academic recognition contexts.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Beyazit Bestami YUKSEL, Author ID 57221928158. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57221928158
  2. Global Tech Excellence Awards.

    Global Tech Excellence Awards


  3. Credit Card Fraud Detection with NCA Dimensionality Reduction.
    https://www.researchgate.net/publication/348973412_Credit_Card_Fraud_Detection_with_NCA_Dimensionality_Reduction

  4. Advancing Biomedical Signal Security: Real-Time ECG Monitoring with Chaotic Encryption.
    https://www.researchgate.net/publication/385529440_Advancing_Biomedical_Signal_Security_Real-Time_ECG_Monitoring_with_Chaotic_Encryption

Sameh Oueslati | Biomedical | Research Excellence Award

Published on by Computer Vision Awards

Research Excellence Award

Sameh OUESLATI
IMT-Atlantique

Sameh OUESLATI
Affiliation IMT-Atlantique
Country Tunisia
Scopus ID 42861895800
Documents 9
Citations 60
h-index 3
Subject Area Bio Medical
Event Global Tech Excellence Awards

The Research Excellence Award recognizes notable scholarly contributions and academic achievements in the field of biomedical research. This article documents the academic profile, research contributions, and scholarly impact of Sameh OUESLATI, affiliated with IMT-Atlantique, whose work has contributed to advancements in biomedical sciences [1].

Abstract

This article presents a structured overview of the academic contributions and research performance of Sameh OUESLATI. It highlights publication metrics, citation impact, and scholarly activities in biomedical research, providing a basis for evaluating eligibility for academic recognition awards [1].

Keywords

Biomedical Research, Academic Impact, Scopus Metrics, Research Evaluation, Scholarly Contributions

Introduction

Academic recognition plays a significant role in promoting excellence in research and innovation. Evaluation frameworks often rely on measurable outputs such as publications, citations, and research influence. sameh OUESLATI’s profile demonstrates engagement in biomedical research with measurable academic output [2].

Research Profile

The researcher has authored nine indexed documents with a total of sixty citations and an h-index of three. These metrics indicate emerging influence in the biomedical domain. The affiliation with IMT-Atlantique further supports participation in internationally recognized research environments [1].

Research Contributions

  • Development of biomedical analytical frameworks.
  • Participation in interdisciplinary research initiatives.
  • Contribution to peer-reviewed scientific publications.

Publications

The researcher’s publications are indexed in Scopus, reflecting contributions to biomedical science. Selected works are associated with DOI identifiers, ensuring traceability and academic credibility [3].

Research Impact

The citation count and h-index suggest moderate research visibility. These indicators are commonly used to assess scholarly influence and the dissemination of research findings within the scientific community [2].

Award Suitability

Based on the documented research output, citation metrics, and subject specialization, sameh OUESLATI demonstrates eligibility for recognition under the Research Excellence Award criteria. Continued contributions may further strengthen academic standing and impact.

Conclusion

This article provides an academic overview of the researcher’s profile and contributions. The structured evaluation highlights measurable research outputs and their relevance in the context of academic recognition programs.

References

  1. Elsevier. (n.d.). Scopus author details: sameh OUESLATI, Author ID 42861895800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=42861895800
  2. Automatic left ventricle volume and mass quantification from 2D cine-MRI: Investigating papillary muscle influence.
    https://www.researchgate.net/publication/379732856_Automatic_left_ventricle_volume_and_mass_quantification_from_2D_cine-MRI_Investigating_papillary_muscle_influence

Zeinab Rahimi Rise | Biomedical and Healthcare Applications | Research Excellence Award

Published on by Computer Vision Awards

Research Excellence Award

Zeinab Rahimi Rise
Affiliation AmirKabir University of Technology
Country Iran
Scopus 57537988300
Documents 9
Citations 38
h-index 3
Subject Area Biomedical and Healthcare Applications
Event Global Tech Excellence Awards

Zeinab Rahimi Rise is associated with AmirKabir University of Technology and has contributed to the field of biomedical and healthcare applications through interdisciplinary technological research activities. The research profile reflects scholarly engagement in healthcare-oriented innovation, data-driven biomedical systems, and applied technological methodologies. According to Scopus-indexed metrics, the researcher has authored multiple scientific documents and accumulated citation-based academic visibility within specialized healthcare application domains.[1]

Abstract

This article documents the academic profile and scholarly recognition of Zeinab Rahimi Rise in relation to the Research Excellence Award associated with the Global Tech Excellence Awards. The profile highlights research engagement within biomedical and healthcare applications, emphasizing technological integration, healthcare innovation, and interdisciplinary scientific contributions. The available citation metrics, publication record, and institutional affiliation collectively indicate a developing research trajectory with measurable academic visibility in internationally indexed databases.[1][2]

Keywords

  • Biomedical Engineering
  • Healthcare Applications
  • Research Excellence Award
  • Global Tech Excellence Awards
  • Scopus Research Metrics
  • Academic Recognition
  • Healthcare Technology
  • Interdisciplinary Research

Introduction

The increasing integration of engineering methodologies into healthcare systems has encouraged the emergence of interdisciplinary research profiles capable of addressing clinical, technological, and biomedical challenges simultaneously. Researchers working within biomedical and healthcare applications frequently contribute to digital health systems, intelligent diagnostics, healthcare analytics, and technology-enabled medical solutions. Academic recognition programs such as the Global Tech Excellence Awards acknowledge researchers demonstrating meaningful scientific engagement and measurable scholarly productivity within these evolving domains.[2][3]

Zeinab Rahimi Rise has contributed to this interdisciplinary research environment through work connected to healthcare-oriented scientific applications. The research metrics associated with the author indicate participation in internationally indexed scholarly communication, supported by citation performance and publication visibility recorded through Scopus indexing systems.[1]

Research Profile

The research profile of Zeinab Rahimi Rise reflects academic activity connected to biomedical and healthcare technologies, with institutional affiliation at AmirKabir University of Technology in Iran. The researcher has authored 9 indexed documents and accumulated 38 citations with an h-index value of 3 according to Scopus-author metrics. These indicators suggest a developing academic presence and an expanding contribution to applied healthcare and biomedical studies.[1]

Research activities within healthcare applications commonly involve interdisciplinary collaboration between engineering, computational science, and medical technology. Such integration enables the development of healthcare systems that improve clinical efficiency, patient monitoring, biomedical data processing, and technology-assisted diagnosis. The documented publication metrics indicate engagement with this broader scientific ecosystem.[4]

Research Contributions

The contributions associated with Zeinab Rahimi Rise are aligned with biomedical and healthcare-oriented technological applications. Research in this domain often focuses on computational methodologies, healthcare optimization systems, biomedical analysis, and data-driven medical technologies. Such work contributes to the broader advancement of healthcare innovation and digital transformation within clinical environments.[4][5]

  • Participation in interdisciplinary biomedical research initiatives.
  • Contribution to healthcare-related technological studies and applications.
  • Scientific publication in indexed academic platforms.
  • Support for emerging healthcare innovation through applied research methodologies.

The interdisciplinary nature of healthcare applications requires integration between engineering systems, computational analytics, and biomedical sciences. Contributions within these areas are increasingly recognized as significant components of modern healthcare infrastructure development and medical technology innovation.[3]

Publications

The publication record associated with Zeinab Rahimi Rise demonstrates participation in peer-reviewed academic dissemination through internationally indexed research databases. The available publication count reflects continuing scholarly activity in biomedical and healthcare applications.[1]

  • Biomedical and healthcare application studies indexed through Scopus-author records.[1]
  • Interdisciplinary healthcare technology publications associated with computational and biomedical integration.[3]
  • Research contributions aligned with applied healthcare innovation and technology-driven medical systems.[4]

Digital object identifier systems and indexed citation platforms provide structured mechanisms for measuring publication visibility, scholarly dissemination, and citation-based impact across international academic communities.[5]

Research Impact

Research impact within healthcare applications is frequently assessed through publication productivity, citation metrics, interdisciplinary relevance, and the applicability of technological innovation to healthcare systems. The Scopus-indexed citation record associated with Zeinab Rahimi Rise reflects scholarly engagement and measurable academic recognition within the research community.[1]

The citation performance and h-index profile indicate developing influence in specialized biomedical and healthcare application areas. Citation-based recognition remains an important component of contemporary academic evaluation frameworks, particularly within technology-intensive healthcare research environments.

Award Suitability

The Research Excellence Award associated with the Global Tech Excellence Awards recognizes scholarly contributions, innovation, and academic engagement within technology-driven disciplines. Zeinab Rahimi Rise demonstrates several characteristics aligned with award evaluation frameworks, including interdisciplinary healthcare research participation, indexed scholarly dissemination, and measurable citation visibility.[2]

The integration of biomedical applications with healthcare technologies continues to represent a strategically important research direction globally. Researchers contributing to these domains support innovation in patient care systems, healthcare analytics, biomedical technologies, and computational medicine. The documented academic profile supports the relevance of the researcher within this evolving scientific landscape.[3][5]

Conclusion

Zeinab Rahimi Rise represents an emerging academic contributor within biomedical and healthcare applications through research activities associated with AmirKabir University of Technology. The documented publication metrics, citation performance, and interdisciplinary research alignment indicate growing scholarly visibility within healthcare-oriented technological research domains. Recognition through the context of the Research Excellence Award and the Global Tech Excellence Awards reflects the broader significance of healthcare innovation and interdisciplinary scientific advancement in contemporary research environments.[1][2]

References

    1. Elsevier. (n.d.). Scopus author details: Zeinab Rahimi Rise, Author ID 57537988300. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57537988300
    2. Global Tech Excellence Awards. (n.d.). Research Excellence Award overview and academic recognition framework.
      https://globaltechexcellence.com/
    3. Entropy-guided semi-supervised framework for robust chest X-ray segmentation using dynamic competition and patch-wise contrastive learning.
      https://www.sciencedirect.com/science/article/abs/pii/S1746809426004878?via%3Dihub
    4. Fusing clinical and image data for detecting the severity level of hospitalized symptomatic COVID-19 patients using hierarchical model.
      https://link.springer.com/article/10.1007/s42600-023-00268-w
    5. An integrated HFMEA simulation-based multi-objective optimisation model to improve the performances of hospitals: A case study.
      https://www.tandfonline.com/doi/abs/10.1080/17477778.2021.2015260

Mohammad Mahdi Ershadi | Biomedical and Healthcare Applications | Research Excellence Award

Published on by Computer Vision Awards

Research Excellence Award

Mohammad Mahdi Ershad
Affiliation Amirkabir University of Technology
Country Iran
Scopus 57212585059
Documents 22
Citations 194
h-index 10
Subject Area Biomedical and Healthcare Applications
Event Global Tech Excellence Awards

Mohammad Mahdi Ershadi is a researcher affiliated with Amirkabir University of Technology whose scholarly work has contributed to the advancement of biomedical and healthcare applications through interdisciplinary technological research. His academic profile demonstrates sustained contributions in healthcare-oriented engineering studies, supported by measurable citation performance and publication activity indexed in major international databases.[1] The recognition associated with the Research Excellence Award reflects his ongoing engagement with applied scientific innovation, research dissemination, and academic collaboration in emerging biomedical domains.[2]

Abstract

This article presents an overview of the academic achievements, publication record, and research impact associated with Mohammad Mahdi Ershadi in the field of biomedical and healthcare applications. The profile highlights measurable scholarly indicators, including indexed publications, citation performance, and interdisciplinary research engagement. The article also evaluates the relevance of these contributions within the context of the Global Tech Excellence Awards and broader scientific recognition frameworks.[1][3]

Keywords

Biomedical engineering, healthcare applications, academic recognition, research impact, citation analysis, scientific publications, interdisciplinary technology, healthcare innovation, Scopus indexing, scholarly contributions.[2]

Introduction

The increasing integration of engineering methodologies within healthcare systems has generated substantial opportunities for interdisciplinary scientific advancement. Researchers working within biomedical and healthcare applications contribute to technological innovation, diagnostic optimization, computational healthcare analysis, and applied engineering solutions that support clinical and societal needs. Within this evolving academic landscape, Mohammad Mahdi Ershadi has established a scholarly profile characterized by indexed publications, citation-based visibility, and participation in internationally recognized research dissemination platforms.[1]

Academic evaluation metrics such as document count, citation performance, and h-index values are commonly used to assess research productivity and influence across scientific disciplines. These indicators provide measurable insight into scholarly reach, collaborative engagement, and the sustainability of research output over time. The current profile demonstrates a developing yet notable research trajectory within biomedical and healthcare-oriented scientific domains.[3]

Research Profile

Mohammad Mahdi Ershadi is affiliated with Amirkabir University of Technology, a recognized institution with established contributions to engineering and technological sciences. His research portfolio includes 22 indexed documents with a cumulative citation count of 194 and an h-index of 10, reflecting a stable level of scholarly engagement and research dissemination within biomedical and healthcare application domains.[1]

The profile reflects interdisciplinary integration between healthcare technologies and engineering methodologies, emphasizing the practical implementation of scientific knowledge within biomedical contexts. Such interdisciplinary approaches are increasingly recognized as essential for addressing modern healthcare challenges through data-driven systems, medical technologies, and applied computational frameworks.

Research Contributions

The research contributions associated with Mohammad Mahdi Ershadi primarily align with biomedical and healthcare-oriented technological studies. These contributions involve the application of engineering techniques to healthcare environments, where scientific methodologies are utilized to improve analytical efficiency, technological integration, and practical implementation within biomedical systems.

The documented publication activity indicates ongoing participation in scholarly communication through indexed journals and conference-related dissemination channels. Citation accumulation across published works further suggests that elements of the research output have achieved measurable academic visibility and relevance among related scientific communities.

Publications

The publication profile includes peer-reviewed scholarly outputs indexed through international academic databases. These publications contribute to the visibility and dissemination of biomedical engineering and healthcare-related technological research. Indexed research outputs play a significant role in validating scientific contributions through citation tracking, peer-review assessment, and bibliometric evaluation.[1] [4]

DOI-linked publications facilitate long-term accessibility and citation reliability within digital academic infrastructures. The use of persistent identifiers further supports research transparency, discoverability, and scholarly preservation across multidisciplinary scientific environments. [5]

Research Impact

Research impact is commonly evaluated using citation indicators, publication metrics, and scholarly influence across academic communities. The profile associated with Mohammad Mahdi Ershadi demonstrates moderate but consistent citation performance with 194 citations and an h-index of 10. These indicators suggest that several publications have attained recurring academic reference and measurable research visibility.[1]

Within biomedical and healthcare applications, citation-based impact often reflects the relevance of research methodologies, technological applicability, and interdisciplinary adaptability. The observed citation performance aligns with a developing research trajectory characterized by sustained publication activity and growing academic recognition.

Award Suitability

The scholarly profile of Mohammad Mahdi Ershadi demonstrates characteristics commonly associated with research recognition frameworks, including indexed publication activity, citation accumulation, interdisciplinary engagement, and institutional research affiliation. These indicators collectively support the relevance of his profile within the context of the Global Tech Excellence Awards.[2]

Recognition within academic award systems typically considers research productivity, scholarly visibility, and the potential societal relevance of scientific contributions. The integration of healthcare-oriented engineering methodologies within the research portfolio further contributes to the suitability of the profile for technology-focused academic recognition initiatives.

Conclusion

Mohammad Mahdi Ershadi has developed a research profile characterized by interdisciplinary biomedical and healthcare-oriented scientific contributions supported through indexed publications and measurable citation performance. The profile reflects continued scholarly engagement, research dissemination, and participation in internationally recognized academic infrastructures.[1]

The documented academic indicators and research activities demonstrate alignment with the objectives of professional scientific recognition programs such as the Global Tech Excellence Awards. Continued publication activity and collaborative scientific engagement may further strengthen the long-term academic visibility and influence of the research portfolio.[2]

References

    1. Elsevier. (n.d.). Scopus author details: Mohammad Mahdi Ershadi, Author ID 57212585059. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57212585059
    2. Global Tech Excellence Awards. (n.d.). Official event and award information.
      https://globaltechexcellence.com/
    3. ORCID. (n.d.). ORCID record for Mohammad Mahdi Ershadi.
      https://orcid.org/0000-0002-7409-6469
    4. Entropy-guided semi-supervised framework for robust chest X-ray segmentation using dynamic competition and patch-wise contrastive learning.
      https://www.sciencedirect.com/science/article/abs/pii/S1746809426004878?via%3Dihub
    5. Decoding DQM for experimental insights on data quality metadata’s impact on decision-making process efficacy.
      https://www.researchgate.net/publication/402357652_Decoding_DQM_for_Experimental_Insights_on_Data_Quality_Metadata’s_Impact_on_Decision-Making_Process_Efficacy

Sandip Kaledhonka | Biomedical and Healthcare Applications | Research Excellence Award

Published on by Computer Vision Awards

Assoc. Prof. Dr. Sandip Kaledhonka | Biomedical and Healthcare Applications | Research Excellence Award

Associate professor | Indian Institute of Technology Bombay | India 

Dr. Sandip Kaledhonka is an accomplished structural biologist whose research focuses on time-resolved cryogenic electron microscopy (cryo-EM), ribosome dynamics, and molecular mechanisms underlying protein synthesis. With 38 published research documents 775 citations, an h-index of 10, and an i10-index of 10, he has established a strong global research presence through high-impact publications and sustained collaborations with leading scientists across structural biology biophysics and molecular microbiology.Dr. Kaledhonkar’s research has significantly advanced the understanding of dynamic events in translation initiation, elongation, termination, and ribosome recycling. His landmark work Late steps in bacterial translation initiation visualized using time-resolved cryo-EM published in Nature revealed critical structural intermediates that define the kinetics of ribosomal assembly. He has also contributed foundational methods including the widely used microfluidic spraying-plunging technique for ultrafast sample preparation enabling real-time visualization of rapid biochemical reactions.A notable aspect of his research is the integration of mixing-spraying microfluidics with high-resolution cryo-EM an approach that has provided unprecedented insights into transient conformations of biological macromolecules. His studies on ribosome subunit association release-factor activation and ribosome recycling published in journals such as Structure and Biophysical Journalhave shaped current understanding of translation control and fidelity. His contributions extend to photobiology with influential work on photoactive yellow protein (PYP) focusing on chromophore isomerization protonation hydrogen bonding networks and signaling kinetics.Beyond ribosome biology Dr. Kaledhonkar has collaborated on impactful multidisciplinary research including bacteriophage characterization microbial biofilm reduction structural components of jumbo phages and mechanisms of innate antimicrobial defense involving AAA-ATPases. His recent works further explore methodological innovations in cryo-EM pose estimation extracellular vesicle isolation and enzyme conformational regulation highlighting his broad scientific influence.He has co-authored publications with leading researchers such as Joachim Frank Ziao Fu Bo Chen Måns Ehrenberg and Robert A. Grassucci underscoring a strong record of international collaboration. With expertise spanning structural dynamics microfluidics and time-resolved structural biology Dr. Kaledhonkar’s research continues to contribute to the global advancement of molecular and biomedical sciences offering foundational knowledge that drives future therapeutic and biotechnological innovations.

Profiles:  Googlescholar | Scopus

Featured Publications

1. Horst, M. A., Stalcup, T. P., Kaledhonkar, S., Kumauchi, M., Hara, M., & Xie, A. (2009). Locked chromophore analogs reveal that photoactive yellow protein regulates biofilm formation in the deep sea bacterium Idiomarina loihiensis. Journal of the American Chemical Society, 131(47), 17443–17451. Cited By : 61

2. Kaledhonkar, S., Fu, Z., White, H., & Frank, J. (2018). Time-resolved cryo-electron microscopy using a microfluidic chip. In Protein Complex Assembly: Methods and Protocols (pp. 59–71). Humana Press. Cited By : 52

3. Kumauchi, M., Kaledhonkar, S., Philip, A. F., Wycoff, J., Hara, M., Li, Y., & Xie, A. (2010). A conserved helical capping hydrogen bond in PAS domains controls signaling kinetics in the superfamily prototype photoactive yellow protein. Journal of the American Chemical Society, 132(44), 15820–15830. Cited By : 12

4. Das, S., & Kaledhonkar, S. (2024). Physiochemical characterization of a potential Klebsiella phage MKP-1 and analysis of its application in reducing biofilm formation. Frontiers in Microbiology, 15, 1397447. Cited By : 3

5. Ghosh, S., Roy, S., Baid, N., Das, U. K., Rakshit, S., Sanghavi, P., Hajra, D., Das, S., … & (include remaining authors if available). (2025). Host AAA-ATPase VCP/p97 lyses ubiquitinated intracellular bacteria as an innate antimicrobial defence. Nature Microbiology, 1–16. Cited By : 2

Dr. Kaledhonkar’s pioneering time-resolved cryo-EM work reveals molecular events in real time, advancing fundamental understanding of translation mechanisms. His innovations in microfluidic methodology continue to transform structural biology and accelerate discoveries in molecular medicine.

Neven Saleh | Healthcare Engineering Systems | Women Researcher Award

Published on by Computer Vision Awards

Assist. Prof. Dr. Neven Saleh | Healthcare Engineering Systems | Women Researcher Award

Associate Professor | Future University in Egypt | Egypt

Assist. Prof. Dr. Neven Saleh is a highly motivated and detail-oriented researcher with extensive experience in biomedical engineering, machine learning, deep learning for disease diagnosis, healthcare technology, hospital design, and assistive communication systems. She holds a Ph.D. in Biomedical Engineering from Politecnico di Torino and a master’s and bachelor’s degree in biomedical and electronics engineering from Egyptian universities. She has served as an associate professor at multiple institutions, supervised numerous Ph.D. and M.Sc. students, and contributed to international research collaborations across Italy, Egypt, and the USA. Her research interests focus on AI-driven diagnostic systems for retinal and neurological disorders, cancer detection using image processing, healthcare technology assessment, hospital workflow optimization, and assistive technologies for patients with disabilities. She has received multiple awards and honors for her innovative projects, teaching excellence, and scientific contributions, including national competitions, best thesis awards, and international conference recognitions. She possesses strong research skills in machine learning, deep learning, computer vision, biomedical signal processing, medical instrumentation, and healthcare technology management. She is a member of professional organizations such as TWAS-OWSD and IFMBE and has completed advanced certifications in machine learning, clinical engineering, and healthcare quality management. Her research impact is reflected in 277 citations by 204 documents, 41 publications, and an h-index of 9.

Profile: Google Scholar | Scopus | ORCID

Featured Publications

  1. Saleh, N., Sharawi, A. A., Abd Elwahed, M., Petti, A., Puppato, D., & Balestra, G. (2014). Preventive maintenance prioritization index of medical equipment using quality function deployment. IEEE Journal of Biomedical and Health Informatics, 19(3), 1029–1035.

  2. Saleh, N., Abdel Wahed, M., & Salaheldin, A. M. (2022). Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images. International Journal of Imaging Systems and Technology, 32(3), 740–752.

  3. Saleh, N., Farghaly, M., Elshaaer, E., & Mousa, A. (2020). Smart glove-based gestures recognition system for Arabic sign language. In 2020 International Conference on Innovative Trends in Communication and … (pp. 37–…).

  4. Saleh, N., Hassan, M. A., & Salaheldin, A. M. (2024). Skin cancer classification based on an optimized convolutional neural network and multicriteria decision-making. Scientific Reports, 14(1), 17323.

  5. Salaheldin, A. M., Abdel Wahed, M., Talaat, M., & Saleh, N. (2024). Deep learning‐based automated detection and grading of papilledema from OCT images: A promising approach for improved clinical diagnosis and management. International Journal of Imaging Systems and Technology, 34(4), e23133.

Assoc Prof Dr. Maria Teresa Arias Loste | Biomedical | Best Researcher Award

Published on by Computer Vision Awards

Assoc Prof Dr. Maria Teresa Arias Loste, Biomedical, Best Researcher Award

Maria Teresa Arias Loste at Instituto de Investigación Marqués de Valdecilla, Spain

Professional Profile

🌟 Summary:

Assoc. Prof. Dr. María Teresa Arias Loste is a renowned Consultant Physician Specialist in Gastroenterology at the University Hospital Marqués de Valdecilla. With a solid academic background and extensive research experience, she has significantly contributed to the field of Gastroenterology, particularly in Non-Alcoholic Fatty Liver Disease (NAFLD) and Metabolic Associate Steatotic Liver Disease (MASLD).

🎓 Education:

  • Ph.D. in Biomedicine and Health Sciences, University of Cantabria, 2017
  • Master’s Degree in Hepatology, University of Alcalá and Autonomous University of Madrid, 2014
  • Bachelor of Medicine and Surgery, University of Zaragoza, 2005

💼 Professional Experience:

  • Consultant Physician Specialist in Gastroenterology, University Hospital Marqués de Valdecilla, 2012-present
  • Fellow Researcher, López Albo / Marqués de Valdecilla Research Institute Foundation, 2010-2012
  • Consultant Physician Specialist in Gastroenterology, Marqués de Valdecilla University Hospital, 2010
  • Resident Physician in Gastroenterology, University Hospital Marques de Valdecilla, 2006-2010

🔬 Research Interest:

Dr. Arias Loste’s research focuses on the immunological, genetic, and metabolic mechanisms of NAFLD and MASLD. She has been involved in numerous clinical trials and projects, including leading studies on the brain-liver axis in psychosis patients and innovative MASLD monitoring and telemedicine initiatives.

📖 Publications Top Noted:

Paper Title: Serum identification of at-risk MASH: The metabolomics-advanced steatohepatitis fibrosis
  • Authors: Noureddin, M., Truong, E., Mayo, R., Mato, J.M., Sanyal, A.J.
  • Journal: Hepatology
  • Year: 2024
  • Citations: 15
Paper Title: An international multidisciplinary consensus on pediatric metabolic dysfunction-associated fatty liver disease
  • Authors: Zhang, L., El-Shabrawi, M., Baur, L.A., George, J., Zheng, M.-H.
  • Journal: Med
  • Year: 2024
  • Citations: 1
Paper Title: Evaluation of metabolic dysfunction-associated steatotic liver disease (MASLD) terminology in different clinical settings
  • Authors: Iruzubieta, P., Santos-Laso, A., Arias-Loste, M.T., Calleja, J.L., Crespo, J.
  • Journal: Journal of Hepatology
  • Year: 2024
  • Citations: 1
Paper Title: Clinical and genetic factors involved in Porto-sinusoidal vascular disorder after oxaliplatin exposure
  • Authors: Puente, A., Fortea, J.I., Del Pozo, C., Bañares, R., Crespo, J.
  • Journal: Digestive and Liver Disease
  • Year: 2024
Paper Title: Immunological and senescence biomarker profiles in patients after spontaneous clearance of hepatitis C virus: gender implications for long-term health risk
  • Authors: Martín-Escolano, R., Vidal-Alcántara, E.J., Crespo, J., Jiménez-Sousa, M.Á., Fernández-Rodríguez, A.
  • Journal: Immunity and Ageing
  • Year: 2023
  • Citations: 1