Vahid Akmali | Computational Phylogenetics | Editorial Board Member

Published on by Computational Biologists

 

Editorial Board Member

Vahid Akmali
Razi University

Vahid Akmali
Affiliation Razi University
Country Iran
Scopus ID 54978642800
Documents 47
Citations 362
h-index 12
Subject area Computational Phylogenetics
Event Computational Biologists Awards
ORCID 0000-0001-8946-3527

Vahid Akmali is a researcher affiliated with Razi University in Iran whose supplied bibliometric profile identifies computational phylogenetics as his subject area. His publication record is reported as 47 documents, 362 citations, and an h-index of 12. These indicators provide a quantitative overview of the indexed research output and citation activity associated with the supplied Scopus author identifier. This article presents a structured overview of his research profile, the relevance of computational phylogenetics, and the potential relationship between his academic background and editorial or research recognition within the Computational Biologists Awards. [1]

Abstract

This article presents an academic profile of Vahid Akmali, affiliated with Razi University in Iran, with a stated research focus in computational phylogenetics. The supplied bibliometric information records 47 documents, 362 citations, and an h-index of 12 under Scopus author identifier 54978642800. His profile is considered in the context of computational biology, where computational and statistical methods support the analysis of evolutionary relationships and biological data. The article outlines the subject area’s significance, discusses publication and citation indicators, and considers potential relevance to editorial service and research recognition through the Computational Biologists Awards. Profile details should be interpreted alongside verified publications and institutional records.[2]

Keywords

Vahid Akmali; computational phylogenetics; computational biology; evolutionary analysis; phylogenetic inference; bioinformatics; research metrics; scientific publications; citation analysis; Razi University; editorial board; Computational Biologists Awards.[1]

Introduction

Computational biology combines computational techniques, mathematical modelling, and biological knowledge to investigate complex questions about living systems. Computational phylogenetics is an important area within this discipline because it uses biological data and analytical methods to infer evolutionary relationships among organisms, genes, or other biological entities. These methods can support comparative studies, evolutionary research, and the interpretation of molecular datasets. [2]

Research Profile

The supplied profile identifies Vahid Akmali with Razi University in Iran and lists computational phylogenetics as his subject area. His reported Scopus indicators comprise 47 documents, 362 citations, and an h-index of 12. These figures offer a snapshot of indexed scholarly output and citation activity, although they do not independently establish the quality, originality, or practical significance of individual studies. A comprehensive assessment would examine his verified publication titles, research questions, methods, co-authorship, and contributions to the development or application of computational approaches in biological research. [1]

Research Contributions

Computational phylogenetics draws on algorithms, evolutionary models, and sequence-based analyses to reconstruct relationships and investigate patterns of biological diversification. Work in this area may involve assessing alternative phylogenetic trees, comparing evolutionary hypotheses, evaluating model assumptions, and interpreting uncertainty in inferred relationships. These activities can contribute to broader research in genomics, molecular evolution, biodiversity, and comparative biology. The available profile information establishes a subject-area association but does not identify specific methods, discoveries, or publications attributable to Akmali; such contributions should therefore be described only after examining primary scholarly records.[2]

Publications

The supplied Scopus profile reports 47 documents associated with author identifier 54978642800. This document count provides a starting point for reviewing the researcher’s publication history, but it should not be treated as a verified list of individual works without consulting the author record. A publication-level review should confirm titles, co-authors, journal or conference details, publication dates, and persistent identifiers such as digital object identifiers (DOIs). No specific publication titles or DOI records have been supplied for this article, so individual papers are not listed here. [1]

Research Impact

The reported total of 362 citations and h-index of 12 offers a quantitative indication of the citation activity associated with the supplied Scopus profile. An h-index of 12 conventionally indicates that at least 12 indexed publications have each received at least 12 citations, provided that the underlying record and metric are accurate. Citation counts vary between databases and change over time, and they may be influenced by research-field practices, publication age, collaboration patterns, and database coverage. Accordingly, these metrics are best considered alongside qualitative assessments of methodological rigour, reproducibility, relevance, and documented scholarly contributions.[2]

Award Suitability

The Computational Biologists Awards provide a context for recognizing research and professional contributions related to computational biology. Akmali’s stated subject area and reported bibliometric indicators may be relevant to an initial profile review. However, the available information does not establish a confirmed award nomination, selection, or editorial appointment. A fair assessment of suitability would require verified publications, evidence of original contributions, documented professional service where applicable, and alignment with the relevant award criteria. Any recognition or editorial role should be presented as confirmed only when supported by an official announcement or reliable institutional documentation.[1]

Conclusion

Vahid Akmali’s supplied academic profile connects his affiliation with Razi University to the research area of computational phylogenetics. The reported 47 documents, 362 citations, and h-index of 12 provide a concise bibliometric overview, while the broader significance of his work requires examination of verified publications and their scientific contributions. Computational phylogenetics remains an important component of computational biology because it supports the study of evolutionary relationships through analytical methods. Maintaining accurate author identifiers, publication records, and independently verified information is essential when presenting researchers in academic profiles and award-related materials.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Vahid Akmali, Author ID 54978642800. Scopus. Author metrics and profile details should be checked against the live record.
    https://www.scopus.com/authid/detail.uri?authorId=54978642800
  2. Journal article(2023.)An Introduction to the Comparison Shape of some Cranial Structures in Boleophthalmus Dussumieri and Periophthalmus Waltoni (Teleostei: Oxudercidae) in the Persian Gulf: An Exploratory Analysis with Micro-CT Scanning
    https://doi.org/10.18502/fbt.v11i1.14510
  3. ORCID. (n.d.). Vahid Akmali researcher identifier. ORCID. 
    https://orcid.org/0000-0001-8946-3527

MadhuSudhana Saddala | Bioinformatics | Editorial Board Member

Published on by Computational Biologists

Editorial Board Member

MadhuSudhana Saddala
University of California
MadhuSudhana Saddala
Affiliation University of California
Country United States
Scopus ID 55806279600
Documents 39
Citations 611
h-index 17
Subject Area Bioinformatics
Event Computational Biologists Awards
ORCID 0000-0002-6373-7080

MadhuSudhana Saddala is identified in the supplied academic profile as a researcher associated with the University of California, with a stated subject area of bioinformatics. The profile records 39 documents, 611 citations, and an h-index of 17 in Scopus. These bibliometric indicators provide a quantitative overview of scholarly output and citation visibility and are presented here as profile-level information rather than as an independent assessment of research quality. [1]

Abstract

MadhuSudhana Saddala is presented as an academic researcher affiliated with the University of California and working within the field of bioinformatics. The supplied scholarly profile records 39 documents, 611 citations, and an h-index of 17 in Scopus. Bioinformatics integrates computational methods with biological data analysis to support research across genomics, molecular biology, and related disciplines. The available profile information indicates an established publication record and measurable citation activity. This article summarizes the supplied academic identifiers, research orientation, publication profile, bibliometric indicators, and potential relevance to recognition within computational biology, while avoiding unsupported claims about specific discoveries, appointments, or individual publications. [1]

Keywords

Bioinformatics, computational biology, biological data analysis, genomics, academic research, scientific publications, research impact, bibliometrics, computational biologists, scholarly communication. [1]

Introduction

Bioinformatics has become an important interdisciplinary field for managing, interpreting, and analyzing increasingly complex biological datasets. Computational approaches enable researchers to examine biological sequences, molecular interactions, genomic variation, and other forms of high-dimensional information. The discipline therefore connects biological investigation with statistics, computer science, and data-driven methodology. Saddala’s supplied profile identifies bioinformatics as the principal subject area, placing the researcher within this broader computational life-science context. [4]

Research Profile

The available profile information associates MadhuSudhana Saddala with the University of California and identifies bioinformatics as the principal subject area. The stated Scopus record comprises 39 documents, 611 citations, and an h-index of 17. Such metrics can be used to describe publication and citation patterns, although they should be interpreted alongside research quality, authorship contributions, venue characteristics, and disciplinary context. [1]

Research Contributions

Within bioinformatics, research contributions may involve computational analysis, biological data interpretation, development or application of analytical workflows, and integration of computational techniques with experimental knowledge. The supplied information does not provide a verified list of individual discoveries or methodologies attributable to Saddala. Accordingly, the profile is described in terms of its documented research field and bibliometric record rather than assigning specific scientific findings without supporting publication-level evidence. [4]

Publications

The supplied Scopus information records 39 documents associated with the researcher profile. Scopus provides bibliographic and citation information that can be used to examine a researcher’s publication history and scholarly visibility. A complete publication bibliography should be obtained directly from the author’s indexed profile or individual publisher records before making claims about particular titles, journals, co-authors, or research findings. [1]

Research Impact

The supplied citation count of 611 and h-index of 17 indicate measurable citation activity within the indexed scholarly record. Citation-based indicators can help summarize research visibility, but they do not independently establish the significance, originality, or practical influence of individual studies. For a balanced assessment, bibliometric indicators should be considered together with publication quality, contribution statements, research outcomes, and evidence of adoption by the scientific community. [1]

Award Suitability

Based on the supplied profile, the researcher’s stated specialization in bioinformatics and documented publication and citation indicators are relevant to an award program focused on computational biology. The profile may therefore provide a basis for consideration within the Computational Biologists Awards. Final award suitability should, however, be determined according to the event’s official eligibility requirements and an independent review of the nominee’s research record, contributions, publications, and supporting evidence. [5]

Conclusion

MadhuSudhana Saddala is presented in the supplied information as a University of California-affiliated researcher in bioinformatics, with a Scopus profile reporting 39 documents, 611 citations, and an h-index of 17. These indicators describe an indexed research record and provide a useful starting point for academic recognition. Further evaluation should rely on verified publications, documented contributions, and the formal criteria established by the Computational Biologists Awards program. [1]

References

  1. Elsevier. (n.d.). Scopus author details: MadhuSudhana Saddala, Author ID 55806279600. Scopus.
    https://www.scopus.com/pages/authors/55806279600
  2. ORCID. (n.d.). ORCID record: MadhuSudhana Saddala. ORCID.
    https://orcid.org/0000-0002-6373-7080
  3. Google Scholar. (n.d.). MadhuSudhana Saddala — Google Scholar profile.
    https://scholar.google.com/citations?user=0Xi63KQAAAAJ&hl=en
  4. Journal article. (2022.). Association of Placental Growth Factor and Angiopoietin in Human Retinal Endothelial Cell-Pericyte co-Cultures and iPSC-Derived Vascular Organoids.
    https://doi.org/10.1080/02713683.2022.2149808
  5. Computational Biologists Awards. (n.d.). Official award website.
    https://computationalbiologists.com/

Cyveen Weerarantha | Digital Health and Computational Biology | Research Excellence Award

Published on by Computational Biologists

Research Excellence Award

Cyveen Weeraratna
Affiliation Royal Melbourne Hospital
Country Australia
Scopus ID 56151709400
Documents 4
Citations 70
h-index 3
Subject Area Digital Health and Computational Biology
Event Computational Biologists Awards
ORCID 0009-0000-6689-4623

Cyveen Weeraratna
Royal Melbourne Hospital

Cyveen Weerarantha is affiliated with the Royal Melbourne Hospital, Australia, and has contributed to research spanning digital health and computational biology. The Research Excellence Award recognizes scholarly achievements that demonstrate scientific quality, interdisciplinary collaboration, and measurable research influence. Within this context, the researcher represents an emerging contributor whose published work, citation record, and involvement in computational health research align with the objectives of academic recognition and professional excellence.[1]

Abstract

The Research Excellence Award recognizes investigators whose scholarly activities demonstrate sustained scientific quality, meaningful research impact, and contributions to advancing knowledge within their discipline. Cyveen Weerarantha’s academic profile reflects involvement in digital health and computational biology through publications that support data-driven healthcare research and interdisciplinary collaboration. Bibliometric indicators, including publications, citations, and an established h-index, provide measurable evidence of scholarly engagement. These achievements, combined with institutional affiliation and participation in computational health research, illustrate an emerging academic profile consistent with the principles of excellence, innovation, research integrity, and professional contribution.[1][2]

Keywords

Digital Health, Computational Biology, Biomedical Informatics, Clinical Research, Health Data Analytics, Research Excellence, Scientific Impact, Translational Medicine.

Introduction

Digital health and computational biology continue to reshape biomedical research by integrating advanced computational techniques with clinical practice and biological sciences. Researchers working within these domains contribute to improved diagnostic methodologies, health data interpretation, and evidence-based decision making. Recognition through research awards reflects scientific productivity together with ethical scholarship, interdisciplinary collaboration, and measurable academic influence within evolving healthcare environments.[2]

Research Profile

Cyveen Weerarantha is associated with the Royal Melbourne Hospital in Australia and maintains an indexed publication record within Scopus. Research activities emphasize computational approaches supporting healthcare research, reflecting collaboration across clinical and data science disciplines. Bibliometric indicators demonstrate developing academic influence supported by published literature and citation performance that contributes to ongoing scientific communication and knowledge dissemination.[1]

Research Contributions

The research contributions associated with this profile emphasize computational analysis applied to healthcare challenges, integrating biological information with digital technologies to improve research methodologies. Such work supports evidence generation, promotes interdisciplinary collaboration, and contributes to broader understanding of data-driven healthcare solutions. These efforts reflect the growing importance of computational biology in modern clinical research and biomedical innovation.[3]

Publications

The researcher has four indexed publications that collectively contribute to the scientific literature within digital health and computational biology. Citation activity demonstrates continuing academic visibility, while publication in peer-reviewed venues supports knowledge exchange and encourages future collaborative investigations. Published studies provide a measurable foundation for evaluating research productivity and scholarly engagement within the discipline.[1]

Research Impact

Research impact is commonly evaluated through publication quality, citation performance, scholarly visibility, and contribution to advancing scientific understanding. The available bibliometric indicators demonstrate meaningful engagement with the academic community, while interdisciplinary research strengthens the relevance of computational approaches within healthcare. Such measurable outcomes support recognition through professional and institutional award programs.[4]

Award Suitability

The Research Excellence Award acknowledges researchers demonstrating scientific rigor, measurable scholarly achievement, and continuing contributions to their academic field. Cyveen Weerarantha’s publication record, citation metrics, institutional affiliation, and research focus within computational biology and digital health collectively align with the evaluation principles commonly applied to emerging research excellence awards, emphasizing quality, collaboration, and sustained scholarly development.[1][4]

Conclusion

Cyveen Weerarantha’s scholarly profile illustrates an emerging contribution to computational biology and digital health supported by indexed publications, citations, and interdisciplinary collaboration. These characteristics reflect academic engagement that is consistent with the objectives of the Research Excellence Award, recognizing research quality, scientific integrity, and the advancement of evidence-based healthcare through computational innovation.[1]

References

  1. Elsevier. (n.d.). Scopus Author Details: Cyveen Weerarantha, Author ID 56151709400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56151709400
  2. American Journal of Kidney Diseases. (2018). Attempts to Change the Globally Accepted Term, CKDu, to KDUCAL, NUCAL, or CINAC Are Inappropriate..
    https://doi.org/10.1053/j.ajkd.2018.01.033
  3. Critical Care and Resuscitation. (2026). Sustainable continuous renal replacement therapy: The influence of blood flow rates, effluent dose, autoeffluent, and citrate anticoagulation on carbon dioxide emissions.
    https://doi.org/10.1016/j.ccrj.2026.100176
  4. Computational Biologists Awards. Research Excellence Award.
    https://computationalbiologists.com/

Oğuz Karcıoğlu | Digital Health and Computational Biology | Best Researcher Award

Published on by Computational Biologists

Assist. Prof. Dr.Oğuz  Karcıoğlu |  Digital Health and Computational Biology | Best Researcher Award  

Dr. Oğuz Karcıoğlu is a specialist in Chest Diseases at Hacettepe University Faculty of Medicine. After graduating from Hacettepe University in 2011 and completing his specialization in Chest Diseases in 2018, he pursued advanced training in interventional pulmonology at Ruhrlandklinik, University of Essen, and Thoraxklinik, University of Heidelberg in 2023. His research focuses on interstitial lung diseases, cystic fibrosis, and other rare pulmonary conditions. Dr. Karcıoğlu is an active member of the Turkish Thoracic Society and the European Respiratory Society, contributing to both clinical practice and academic advancements in pulmonology.

Profile:

🎓 Educational Background:

Dr. Oğuz Karcıoğlu graduated from the prestigious Hacettepe University Faculty of Medicine in 2011. He completed his residency in Chest Diseases in 2018, building a strong foundation in pulmonary medicine and clinical practice. His dedication to academic growth continued with specialized international training in interventional pulmonology at Ruhrlandklinik, University of Essen, and Thoraxklinik, University of Heidelberg in 2023.

💼 Professional Experience:

Since completing his compulsory service at Çubuk Halil Şıvgın State Hospital after his specialization, Dr. Karcıoğlu has been serving as a faculty member at Hacettepe University Faculty of Medicine, Department of Chest Diseases, since 2021. He is an active member of the Turkish Thoracic Society and the European Respiratory Society, engaging consistently with the academic and professional community. His professional journey reflects a balanced combination of clinical excellence, academic mentorship, and international collaboration.

🏆 Award Contribution:

Through his deep expertise in both common and rare pulmonary conditions, Dr. Karcıoğlu brings a valuable perspective to the Research for Best Researcher Award. His work enhances early diagnosis, procedural innovation, and comprehensive care for patients with challenging respiratory diseases. His dedication to improving clinical outcomes and expanding the scientific understanding of rare lung diseases marks him as a significant contributor to the future of pulmonary medicine.

🔬 Research Focus:

Dr. Karcıoğlu’s research interests are centered around diagnostic and interventional pulmonology, interstitial lung diseases, cystic fibrosis, and other rare lung disorders. His focus on rare diseases underscores his commitment to advancing knowledge in fields that require specialized attention and innovation. By integrating cutting-edge techniques from his international training, he contributes to the refinement of diagnosis and treatment methodologies in respiratory medicine.

Publications:

  • The predictors of COVID-19 mortality in a nationwide cohort of Turkish patients

  • COVID-19: The biggest threat of the 21st century: In respectful memory of the warriors all over the world

  • Ultrasound assessment of sarcopenia in patients with sarcoidosis

  • Pulmonary manifestations of antiphospholipid syndrome: a retrospective analysis of 67 patients

  • What we learned about COVID-19 so far? Notes from underground

  • The contribution of bronchoalveolar lavage in the diagnosis of welder’s lung in a patient with pulmonary fibrosis

  • Comparison of clinical features of cystic fibrosis patients eligible but not on CFTR modulators to ineligible for CFTR modulators

  • Post-discharge mortality in the first wave of COVID-19 in Turkey

  • The association of antiviral drugs with COVID-19 morbidity: The retrospective analysis of a nationwide COVID-19 cohort

  • A basic tool to determine exercise capacity in COPD: 4-meter gait speed

  • Lung cancer from suspicion to treatment: An indicator of healthcare access in Turkey

  • Is there any contribution of bronchial washing to biopsy in the diagnosis of patients with endobronchial pathology in the era of personalized medicine?

  • Diagnostic utility of conventional transbronchial needle aspiration in older patients

  • Effect of modulator therapies on nutritional risk index in adults with cystic fibrosis: A prospective cohort study

  • An 8-year observational study of the death places of patients with COPD in Turkey

  • Who takes care of intensive care? Changes over the last two decades

  • A rare presentation of pulmonary aspergillosis: bronchial stump aspergillosis

  • Investigation of relationship between four meter gait speed test and cardiopulmonary exercise test to determine exercise capacity in COPD patients

Nuno Domingues | Algorithm Development for Bioinformatics | Excellence in Research Award

Published on by Computational Biologists

Prof. Dr. Nuno Domingues | Algorithm Development for Bioinformatics | Excellence in Research Award  

Prof . Dr at ISEL, Portugal.

Dr. Nuno A. S. Domingues is a distinguished researcher and educator in the fields of Electrical Engineering, Energy Systems, and Science Communication, currently serving as a Professor at the Instituto Superior de Engenharia de Lisboa (ISEL) in Portugal. With a rare blend of technical depth and interdisciplinary expertise, Dr. Domingues has pursued multiple postdoctoral fellowships and has been at the forefront of innovation in areas such as smart grids, sustainable technologies, machine learning, and engineering education. His career reflects a strong commitment to advancing clean and intelligent technologies, bridging science and society, and inspiring the next generation of engineers and researchers.

Profile:

🎓 Academic Background

Dr. Nuno A. S. Domingues is a highly accomplished academic with a deeply interdisciplinary foundation in engineering and science communication. He holds three postdoctoral degrees—in Mechanical Engineering (2022) and Electrical Engineering & Computer Science (2020) from IST, and in Science Communication (2021) from FCSH-UNL. He earned his Ph.D. in Electrical Engineering and Computer Science from FCT-UNL in 2015, following his Master’s degree from IST in 2008 and an Undergraduate (5-year) program in Electrical Engineering from ISEL in 2005. His academic journey reflects a rare blend of technical depth and communicative versatility.

🔬 Research Interests

Dr. Domingues’ research explores the cutting-edge intersection of technology, sustainability, and human decision-making. His core areas include modeling and simulation, energy systems, SCADA, decision support systems (DSS), intelligent optimization, and machine learning. He also delves into clean technologies, mobility and transport, sustainable consumption, regulatory frameworks, e-learning, and science communication. This wide-ranging expertise equips him to tackle real-world problems from both technical and societal perspectives.

📜 Certifications & Honors

Beyond academia, Dr. Domingues is a certified science and engineering trainer by the Conselho Científico-Pedagógico da Formação Contínua of Minho University. He holds the European Computer Driving License (ECDL) certification, demonstrating his commitment to digital literacy and technology proficiency. Additionally, his Leadership Certification from the Military Academy showcases his ability to lead and inspire in high-pressure, strategic environments.

Publication 

Title: Science education through project-based learning: A case study
Publication: Procedia Computer Science
Year: 2023

Title: Industry 4.0 in maintenance: Using condition monitoring in electric machines
Publication: 2021 International Conference on Decision Aid Sciences and Application (DASA)
Year: 2021

Title: Lithium prospection in Portugal for e-mobility and solar PV expansion
Publication: Commodities, 1(2), 98–114
Year: 2022

Title: Decision making in the electricity sector using performance indicators
Publication: Energy, Ecology and Environment, 2(1), 60–84
Year: 2017

Title: Prospection techniques for Oil and shale gas
Publication: International Journal of Petrochemistry and Research, Lisbon, Portugal, 3(1)
Year: 2019

Title: Oferta Estratégica da Geração em Mercados de Energia
Publication: ISEL, 1st Workshop in ISEL (18–19 October 2005)
Year: 2005

Title: ARDS mortality prediction model using evolving clinical data and chest radiograph analysis
Publication: Biomedicines, 12(2), 439
Year: 2024