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/

Afrah Shaahid | Computational Systems Medicine | Research Excellence Award

Published on by Computational Biologists

Ms. Afrah Shaahid | Computational Systems Medicine | Research Excellence Award

KFUPM | Saudi Arabia

Ms. Afrah Shaahid is an emerging AI Developer and researcher with over three years of experience in computer science, specializing in machine learning, deep learning, and computer vision. Currently pursuing a Master’s degree at King Fahd University of Petroleum and Minerals, she has developed advanced AI models including CNNs, GANs, diffusion models, and vision-language systems. Her work spans healthcare, cybersecurity, and image enhancement, with contributions to high-impact research and publications. Afrah has also led workshops, mentored students, and collaborated on multidisciplinary projects. With strong technical expertise and a passion for innovation, she is dedicated to building scalable AI solutions and advancing intelligent systems for real-world applications.

Citation Metrics (Scopus)

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Citations
173
Documents
4
h-index
4

Citations

Documents

h-index


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Featured Publications

Eyachew Misganew Tegaw | AI in Personalized Medicine | Best Researcher Award

Published on by Computational Biologists

Assist. Prof. Dr. Eyachew Misganew Tegaw | AI in Personalized Medicine | Best Researcher Award

Assistant Professor of Medical Physics at  Debre Tabor University, Ethiopia.

Dr. Eyachew Misganew Tegaw is an Assistant Professor of Medical Physics at Debre Tabor University, Ethiopia. He earned his Ph.D. from Tehran University of Medical Sciences, specializing in intraoperative radiotherapy using nanoparticles for breast cancer treatment. His research spans medical imaging, radiation therapy, nanomedicine, and AI applications in oncology. Dr. Eyachew Misganew Tegaw has published extensively in peer-reviewed journals and actively contributes to scientific advancement through research, mentorship, and international collaboration.

👨‍🎓 Educational Background:

Eyachew Misganew Tegaw holds a Ph.D. in Medical Physics from the Tehran University of Medical Sciences (TUMS), Iran, where he specialized in intraoperative radiotherapy (IORT) using nanoparticles for breast cancer treatment. His academic journey began with a B.Sc. in Applied Physics from the University of Gondar, followed by an M.Sc. in Condensed Matter Physics from Mekelle University. Across these programs, he built a strong foundation in quantum mechanics, computational physics, and radiation therapy physics, gaining multidisciplinary expertise in both theoretical and applied domains.

Profile:

👨‍🏫 Professional Experience:

With over a decade of academic service, Dr. Eyachew Misganew Tegaw currently serves as an Assistant Professor in the Department of Physics at Debre Tabor University, Ethiopia. He previously held the position of Lecturer at the same institution, actively contributing to curriculum development and student mentorship. His leadership experience includes a two-year term as Department Head and three years as Chair of the Ethiopian Space Science Society (Debre Tabor Branch), showcasing his commitment to both academic and community development.

🧪 Research Interests:

Dr. Eyachew Misganew Tegaw is a highly driven researcher with diverse interests spanning medical physics, radiotherapy technologies, medical imaging, radiation dosimetry, nanomedicine, Monte Carlo simulations, and artificial intelligence. His work integrates cutting-edge approaches like deep learning and machine learning with traditional medical physics techniques, aiming to enhance cancer treatment planning and medical imaging. He is especially passionate about nanoparticle-enhanced therapies and computational modeling for improved patient outcomes in oncology.

🔍 Areas for Improvement:

While Dr. Eyachew Misganew Tegaw has made significant strides in academic research, increased visibility through invited talks, expanded international partnerships, and higher engagement in translational clinical projects could further enhance his research impact. Diversifying funding sources and mentoring emerging researchers may also solidify his standing in the global scientific community.

📚 Scientific Contributions

Dr. Eyachew has authored and co-authored numerous peer-reviewed journal articles in high-impact scientific journals. His publications cover a wide range of topics such as Monte Carlo simulations for radiotherapy, nanoparticle-enhanced imaging and treatment, and explainable AI in oncology. Notable among his recent works is a 2025 article in Scientific Reports comparing survival outcomes in breast cancer surgery, and another accepted paper focusing on AI for lung cancer survival prediction. His systematic reviews and meta-analyses have also significantly contributed to evidence-based practice in cancer diagnosis and therapy.

Publications:

  1. Diagnostic performance of mammography and ultrasound in breast cancer: A systematic review and meta-analysis
    Journal of Ultrasound, 2023

  2. Dosimetric characteristics of the INTRABEAM® system with spherical applicators in the presence of air gaps and tissue heterogeneities
    Radiation and Environmental Biophysics, 2020

  3. Techniques for generating attenuation map using cardiac SPECT emission data only: A systematic review
    Annals of Nuclear Medicine, 2019

  4. Molecular imaging approaches in the diagnosis of breast cancer: A systematic review and meta-analysis
    Iranian Journal of Nuclear Medicine, 2020

  5. Comparison of organs at risk doses between deep inspiration breath-hold and free-breathing techniques during radiotherapy of left-sided breast cancer: A meta-analysis
    Polish Journal of Medical Physics and Engineering, 2022

  6. Gold-nanoparticle-enriched breast tissue in breast cancer treatment using the INTRABEAM® system: A Monte Carlo study
    Radiation and Environmental Biophysics, 2022

  7. Dosimetric effect of nanoparticles in the breast cancer treatment using INTRABEAM® system with spherical applicators in the presence of tissue heterogeneities: A Monte Carlo study
    Biomedical Physics & Engineering Express, 2021

  8. A comparison between EGSnrc/Epp and MCNP in simulation of dosimetric parameters for radiotherapy applications
    Journal of Biomedical Physics & Engineering, 2021

  9. Explainable machine learning to compare the overall survival status between patients receiving mastectomy and breast conserving surgeries
    Scientific Reports, 2025

  10. Attenuation correction for dedicated cardiac SPECT imaging without using transmission data
    Molecular Imaging and Radionuclide Therapy, 2023

  11. Comparative study between EPID and CBCT for radiation treatment verifications
    Iranian Journal of Medical Physics, 2018

Kazem Karami | AI in Drug Discovery | Best Researcher Award

Published on by Computational Biologists

Prof. Kazem  Karami |  AI in Drug Discovery |  Best Researcher Award

academic-member of chemistry department at  isfahan university of technology , Iran.

Prof. Dr. Kazem Karami, born on March 30, 1966, in Ilam, Iran, is a distinguished Iranian chemist renowned for his extensive contributions to the field of inorganic and organometallic chemistry. He currently serves as a Professor in the Department of Chemistry at Isfahan University of Technology, where he has been shaping the future of chemical science through teaching, mentorship, and cutting-edge research since 2006.

Profile:

🎓 Academic Background:

Dr. Karami holds a Ph.D. in Inorganic Chemistry from Bu-Ali Sina University, where he conducted advanced research under the supervision of Prof. S.J. Sabounchei. His dissertation focused on the synthesis and characterization of keto-stabilized phosphorus ylides and various metal complexes, a theme that would define much of his future work. Prior to this, he earned his M.Sc. from Tehran University of Teacher Training and a B.Sc. from Lorestan University.

🔬 Research Interests:

Prof. Karami’s research encompasses a broad and impactful range of topics, including:

  • Design and synthesis of bioactive organometallic complexes

  • C-H activation and cyclopalladation involving phosphorus ylides

  • Development of orthopalladated complexes for anticancer applications

  • Nanocomposites for environmental remediation and biosensing

  • Advanced studies in coordination chemistry, sol-gel processes, and catalysis

His work has consistently bridged synthetic chemistry with biological and environmental relevance, particularly through interactions of complexes with DNA, BSA, and cancer cell lines.

🏆 Awards & Scientific Leadership:

With a career marked by research excellence and leadership, Prof. Karami has been involved in more than 15 research projects funded by the Iranian National Science Foundation (INSF). Many of his projects focus on anticancer metal complexes, environmental chemistry, and nanostructured materials. He has also served on editorial boards and national research committees, reflecting his status as a thought leader in his field.

Publication:

  1. In Vitro Cytotoxicity Studies of Palladacyclic Complexes Containing the Symmetric Diphosphine Bridging Ligand: Studies of Their Interactions With DNA and BSA

  2. Design and Synthesis of a Novel Trinuclear Palladium(II) Complex Containing an Oxime Chelate Ligand: Determining the Interaction Mechanism With the DNA Groove and BSA Site I

  3. Palladium Nanoparticles Supported on Polymer: An Efficient and Reusable Heterogeneous Catalyst for the Suzuki Cross-Coupling Reactions and Aerobic Oxidation of Alcohols

  4. BSA Nanoparticles as Controlled Release Carriers for Isophthalaldoxime Palladacycle Complex: Synthesis, Characterization, In Vitro Evaluation, Cytotoxicity, and Release

  5. Application of Dimeric Orthopalladate Complex of Homoveratrylamine as an Efficient Catalyst in the Heck Cross-Coupling Reaction

  6. Synthesis and Application of Ortho-Palladated Complex of (4-Phenylbenzoylmethylene) Triphenylphosphorane as a Highly Active Catalyst in the Suzuki Cross-Coupling Reaction

  7. A Novel TMD/MOF Composite for Highly Selective Adsorption of Methylene Blue Dye From Aqueous Mixture of MB and MO

  8. A Novel Nanohybrid Based on MIL-101(Cr)/PANI/Ag for the Adsorption of Cationic Methylene Blue Dye From Aqueous Solution

  9. Synthesis and Characterization of Two New Trans Palladium(II) Complexes Containing Benzylamine Ligand: DNA/BSA Interactions, Molecular Docking, and In Vitro Cytotoxic Activity

  10. An Efficient Palladium Catalytic System for Microwave-Assisted Cyanation of Aryl Halides

  11. Synthesis of a Novel Trinuclear Palladium Complex: The Influence of an Oxime Chelate Ligand on Biological Evaluation Toward Double-Strand DNA, BSA Protein, and Molecular Docking

  12. Bis(Dibenzylidene Acetone) Palladium(0) Catalyst for Glycerol Oxidation in Half Cell and in Alkaline Direct Glycerol Fuel Cell

  13. Synthesis and Spectroscopic Characterization Study of New Palladium Complexes Containing Bioactive O,O-Chelated Ligands: Evaluation of the DNA/Protein BSA Interaction and In Vitro Cytotoxicity

  14. Dinuclear Bridged Biphosphinic and Mononuclear Cyclopalladated Complexes of Benzylamines: Synthesis, Structural Characterization, and Antitumor Activity

  15. Application of Dimeric Orthopalladated Complex in Suzuki–Miyaura Cross-Coupling Reaction Under Microwave Irradiation and Conventional Heating

  16. An Investigation on MIL-101(Fe)/PANI/Pd Nanohybrid as a Novel Photocatalyst Based on MIL-101(Fe) MOF for Removing Methylene Blue Dye

  17. Cyclopalladated Complexes of 2-Phenylaniline and Their Catalytic Activity in Suzuki and Heck Reactions Under Mild Conditions

  18. Synthesis, Characterization, and Molecular Docking of New C,N-Palladacycles Containing Pyridinium-Derived Ligands: DNA and BSA Interaction Studies

  19. Polyethylene Glycol-Supported Recyclable NC Palladacycle Catalyst for Heck Cross-Coupling Reactions

  20. Synthesis, Spectroscopic Characterization, and In Vitro Cytotoxicities of New Organometallic Palladium Complexes With Biologically Active β-Diketones: Biological Evaluation and Docking Studies