Jovana Panic | Biomedical engineering | Best Researcher Award

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Dr. Jovana Panic | Biomedical engineering | Best Researcher Award

Dr. Jovana Panic, Osaka University, Japan

Dr. Jovana Panic is a Postdoctoral Researcher at the Institute of Datability Science, Osaka University, Japan. Born on November 14, 1994, she specializes in biomedical engineering, artificial intelligence, and medical image analysis. With strong intercultural skills developed through volunteering and theater experiences, she is a multilingual collaborator fluent in Italian, English, Serbian, and Japanese. She holds a Ph.D. in Bioengineering and Surgical Sciences from the Polytechnic University of Turin. Her work focuses on AI-driven solutions for medical imaging, particularly retinal and oncological applications. Dr. Panic is passionate about merging technology and healthcare for precision diagnostics. 🌍🧠📊

Publication Profile

Google Scholar

🎓 Education

Dr. Panic earned her Ph.D. in Bioengineering and Medical-Surgical Sciences from the Polytechnic University of Turin and the University of Turin in March 2024 with an “Excellent” grade. Her research focused on AI-driven MRI systems for cancer detection. She holds a Master’s degree in Biomedical Engineering (2019) with a grade of 109/110, and a Bachelor’s degree in Biomedical Engineering (2016) with 100/110, both from the Polytechnic University of Turin. Her academic background includes biomedical signal processing, clinical informatics, and bioimaging. She completed high school at Scientific High School “Carlo Cattaneo,” Turin, in 2013 with a score of 93/100. 🎓📘🔬

💼 Experience

Dr. Panic began her postdoctoral role at Osaka University in April 2024, working on AI systems for retinal fundus image analysis. From 2020 to 2024, she was a Ph.D. student and teaching assistant in AI and biomedical engineering at the Polytechnic and University of Turin. She contributed to research at the Candiolo Cancer Institute, developing AI models for rectal and prostate cancer MRI analysis. Her earlier experiences include a research fellowship (2019–2020), clinical engineering at Cellini Humanitas Hospital, and a master’s thesis on DL-based segmentation of rectal cancer. Her multidisciplinary roles demonstrate her commitment to medical AI innovation. 🏥🖥️📈

🏅 Awards & Honors

Dr. Panic has been involved in multiple prestigious European and national research projects, including AIRC, Horizon 2020, and Ministry of Health grants. These projects supported her work in AI-based segmentation, response prediction, and virtual biopsy systems for rectal and prostate cancers. Her Ph.D. research received an “Excellent” grade, recognizing her contributions to oncological imaging. She also served as a teaching assistant in graduate and medical programs, reflecting academic trust in her expertise. Additionally, she received internship and research fellow opportunities at leading institutions like the Candiolo Cancer Institute and Humanitas Hospital, underscoring her promising research trajectory. 🧠🏆📚

🔬 Research Focus

Dr. Panic’s research integrates artificial intelligence and biomedical imaging for clinical applications. Her primary focus is on radiomics and deep learning algorithms for automated cancer detection and characterization in MRI and retinal images. She developed convolutional neural networks (CNNs) for rectal and prostate cancer analysis and is currently exploring AI-based retinal fundus image systems. Her work spans radiology, surgical sciences, and data science, aiming to enhance diagnostic precision through AI-powered clinical decision tools. Through her interdisciplinary research, she bridges computer science and medicine to revolutionize cancer imaging and eye disease diagnostics. 🧬💻🩺

Publication Top Notes

  • 🧠📊 Radiomics and MRI of rectal cancer: from engineering to clinical practice – 51 citations, 2021

  • 🧬🤖 MRI-based radiomics to predict response in rectal cancer: manual vs automatic segmentation – 28 citations, 2022

  • 🧠📈 CNN-based system for colorectal cancer segmentation on MRI – 23 citations, 2020

  • 💉🧮 Radiomics to predict chemo response in liver metastases (CT images) – 15 citations, 2020

  • 📊🏥 Normalization strategies in multi-center abdominal MRI radiomics: review/meta-analysis – 12 citations, 2023

  • 🧪⚙️ Normalization improving robustness of MRI radiomics – 9 citations, 2023

  • 🧬💊 Predicting resistance to 1st line chemo in liver metastatic colorectal cancer – 9 citations, 2021

  • 🔍🧠 Deep learning for prostate segmentation on T2w MRI – 7 citations, 2021

  • 🩻🔬 Virtual biopsy in abdominal pathology: current status – 6 citations, 2023

  • 🤖🧠 Fully automatic DL segmentation of rectal cancer (multi-center) – 6 citations, 2022

Yanchun Chen | Technology | Best Researcher Award

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Dr. Yanchun Chen | Technology | Best Researcher Award

Dr. Yanchun Chen, Communication University of China, China

Yanchun Chen is a Ph.D. student in Information Communication at the Communication University of China (CUC), specializing in digital public opinion. With a background in computational communication, she has contributed extensively to public opinion analysis and media convergence research. She has published in high-impact journals, including Cities and Ethics and Information Technology. Yanchun has presented her research at IAMCR, AEJMC, and ICA conferences, receiving the IAMCR Urban Communication Award. Her expertise lies in digital media ethics, risk communication, and the socio-political impact of emerging technologies.

Publication Profile

Orcid

🎓 Education

Yanchun Chen is pursuing her Ph.D. in Information Communication at CUC (2024–Present), focusing on digital public opinion. She holds an M.S. in Communication (Computational Communication) from the State Key Laboratory of Media Convergence and Communication, CUC (2022–2024), where she analyzed communication data to interpret public sentiment. She completed her B.S. in Tourism Management from Minjiang University (2017–2021), developing foundational insights into media’s impact on cultural narratives. Her academic journey reflects an interdisciplinary approach, integrating communication theories with computational methodologies.

💼 Experience

Yanchun has conducted extensive data analysis at the State Key Laboratory of Media Convergence and Communication, focusing on public opinion trends. At the National Broadcast Media Language Resources Monitoring and Research Center, she developed a systematic media monitoring ledger. She has collaborated on international research, applying social network analysis and topic modeling to urban communication and media ethics. Her studies on deepfake resurrection, AI-generated narratives, and crisis communication have contributed to scholarly discourse in media ethics. Additionally, she has served as a research assistant on digital geopolitics projects, addressing trust issues in global media.

🏆 Awards and Honors

Yanchun has received the prestigious IAMCR Urban Communication Award (2024) for her groundbreaking research. She has been recognized with first-class scholarships, an Outstanding Graduate award, and the highest-level alumni scholarship at CUC. She also holds a National Computer Level II certificate and a bilingual tour guide certification. Her research has been nominated for the Best Researcher Award at the International Academic Awards. These accolades underscore her contributions to media studies, computational communication, and digital ethics.

🔬 Research Focus

Yanchun’s research explores urban memory in digital media, risk communication, and ethical implications of AI-generated content. She examines visual representation in short-form media and its role in shaping public perceptions. Her work on deepfake resurrection delves into digital immortality and narrative ethics. Additionally, she investigates media trust, particularly in global crisis communication, using computational methods like DTM topic modeling and social network analysis. Her studies contribute to understanding media convergence, digital ethics, and the socio-political impact of emerging communication technologies.

Publication Top Note

Urban visual representation and ethical narrative risks

Conclusion

Dr. Yanchun Chen demonstrates exceptional research contributions, global academic recognition, and innovative methodologies in digital communication and public opinion studies. Their publications in top-tier journals, prestigious awards, and interdisciplinary research focus make them a highly suitable candidate for the Best Researcher Award.

Su Hee Kim | Biomedical device | Best Researcher Award

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Dr. Su Hee Kim | Biomedical device | Best Researcher Award

Dr. Su Hee Kim, Medifab co, Ltd., South Korea

Dr. Su Hee Kim, an accomplished researcher in biomedical engineering, specializes in regenerative medicine, biomaterials, and 3D bioprinting. She serves as the R&D Director at Medifab Co., Ltd., contributing to innovations in tissue engineering and healthcare materials. With a Ph.D. in Nano, Bio, and Information Technology from Korea University, her research has led to numerous patents and publications. Recognized with awards like the Best Research Award in Advanced Healthcare Materials, Dr. Kim’s pioneering work enhances patient-specific medical solutions.

Publication Profile

Scopus

Education 🎓

Dr. Kim earned her Ph.D. in Nano, Bio, and Information Technology from the KU-KIST Graduate School of Converging Science and Technology at Korea University (2016). Prior to that, she completed her M.S. in Biotechnology from Korea University (2010) and a B.S. in Applied Chemistry from Dongduk Women’s University (2008). Her interdisciplinary academic background has equipped her with the expertise to excel in biomaterials research, bioprinting technology, and regenerative medicine.

Experience 💼

Dr. Kim has held leadership and research positions, including her current role as R&D Director at Medifab Co., Ltd. (2021-present). She served as a Senior Researcher and Team Lead at AMRC Korea (2019-2020) and a Research Engineer at AMRC Korea (2017-2019). Additionally, she gained extensive experience as a Post-Doc and Researcher at the Korea Institute of Science and Technology (KIST) from 2007 to 2017. Her career is defined by impactful contributions to biomaterial development and translational medical research.

Awards and Honors 🏆

Dr. Kim’s excellence in research has been acknowledged with several prestigious awards, including the Best Research Award in Advanced Healthcare Materials (2025) and the Best R&D Award from KEIT (2024). She has also received numerous academic honors, such as the Student Oral Presentation Award (2014), SYIS Oral Presentation Award (2014), and multiple scholarships recognizing her outstanding academic achievements during her graduate studies.

Research Focus 🔎

Dr. Kim’s research focuses on regenerative medicine, 3D bioprinting, and biomaterials. Her work involves developing patient-specific grafts using biocompatible scaffolds and hydrogels for tissue regeneration. She has pioneered innovations in vascularized adipose tissue regeneration, cartilage engineering, and self-assembling peptide nanofibers. Her ongoing projects include the commercialization of osteoimmune composite materials and development of ECM bioinks, contributing significantly to advancements in healthcare materials and personalized medicine.

Publication Top Notes

📚 Development of Polycaprolactone Grafts with Improved Physical Properties and Body Stability using a Screw Extrusion-type 3D Bioprinter – International Journal of Bioprinting, 2022

📚 Novel Chitosan Dermal Filler with Enhanced Moldability and Elasticity – Macromolecular Bioscience, 2022

📚 Self-assembling Peptide Gels Promote Angiogenesis and Functional Recovery after Spinal Cord Injury in Rats – Journal of Tissue Engineering, 2022

📚 The Regeneration of Large-Sized and Vascularized Adipose Tissue Using a Tailored Elastic Scaffold and dECM Hydrogels – International Journal of Molecular Sciences, 2021

📚 Detection of Lysyl Oxidase Activity in Tumor Extracellular Matrix Using Peptide-Functionalized Gold Nanoprobes – Cancers, 2021

📚 Study on the Direct Melting Extrusion Metal 3D Printing Using Induction Heating – Journal of the Korean Society of Manufacturing Technology Engineers, 2020

📚 Vascularization of PLGA-Based Bio-Artificial Beds by Hypoxia-Preconditioned Mesenchymal Stem Cells for Subcutaneous Xenogeneic Islet Transplantation – Xenotransplantation, 2018

📚 Skin Regeneration with a Scaffold of Predefined Shape and Bioactive Peptide Hydrogels – Tissue Engineering Part A, 2018 (Cited by: -)

📚 TGF-β3 Encapsulated PLCL Scaffold by a Supercritical CO2-HFIP Co-Solvent System for Cartilage Tissue Engineering – Journal of Controlled Release, 2015

📚 Self-Assembling Peptide Nanofibers Coupled with Neuropeptide Substance P for Bone Tissue Engineering – Tissue Engineering: Part A, 2015

 

Faisal Binsar | Digital Healthcare | Best Researcher Award

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Dr. Faisal Binsar | Digital Healthcare | Best Researcher Award

Dr. Faisal Binsar, Universitas Muhammadiyah Berau, Indonesia

Dr. Faisal Binsar is a seasoned expert in digital transformation and healthcare information systems. With a Doctorate in Research in Management from Binus University (2024), he has over 15 years of experience in developing hospital management information systems widely used in Indonesia. His expertise spans AI, big data, e-commerce, inventory management, and digital analytics. 🏥✨ A prolific researcher, he has authored numerous Scopus-indexed publications on digital adoption, healthcare performance, and telemedicine. 🎓🌐 Dr. Faisal has received accolades such as the International Best Presentation Award and serves as a session chair in global conferences. 🌟📚

 

Publication Profile

Google Scholar

🎓 Education

Dr. Faisal Binsar has a robust academic background in Information Technology and management. 🎓 He earned his Bachelor’s degree in Information Technology from Telkom University, Bandung, in 2002. 🖥️ Pursuing higher education, he completed a Master’s degree in Information Systems Management at Binus University, Jakarta, in 2020. 📈 Dr. Faisal further advanced his expertise by earning a Doctorate in Research in Management from the same institution in 2024. 📚✨ His academic journey reflects a dedication to integrating technology and strategic management to drive innovation in various industries. 🚀

 

🏆 Awards and Recognition

Dr. Faisal Binsar has received notable recognition for his contributions to the field of research and technology. 🎖️ In 2022, he was honored with the International Best Presentation Award at the 8th International Conference on E-Business and Applications held in Singapore. 🏅 His expertise continues to be acknowledged globally, as he has been selected as the Session Chair for the upcoming 8th World Conference on Smart Trends in Systems, Security, and Sustainability (WorldS4 2024) in London, United Kingdom. 🌍 These accolades highlight his leadership and influence in digital transformation and innovation. 🌐

 

Professional Experience

Dr. Faisal Binsar’s research primarily revolves around digital transformation and its impact on healthcare management, e-commerce, and information systems. 🏥💻 His work explores topics such as big data, artificial intelligence, machine learning, and digital adoption capability in hospitals and other organizations. 📊💡 Notable contributions include the optimization of hospital information systems, patient engagement, and healthcare service safety. He also addresses e-commerce issues such as promo abuse and customer churn prediction, alongside analyzing data mining techniques in various industries. 🌍🔍 His expertise extends to digital leadership, cloud computing, and digital health.

Research Focus Areas

Dr. Faisal Binsar began his career as a programmer while still in college, creating products to support administrative processes in government, state-owned enterprises, and private companies. 💻 With over 15 years of experience in the healthcare sector, he has played a pivotal role in developing and managing the widely used Hospital Management Information System (SIMRS) in hospitals across Indonesia. 🏥 His expertise spans digital analytics, big data, artificial intelligence, e-commerce, supply chain services, and healthcare management. 📊 Dr. Binsar’s work aims to optimize efficiency and improve patient care, blending technology with strategic management to drive progress. 🌐

Publication Top Notes 📚

  • Mining of Social Media on Covid-19 Big Data Infodemic in Indonesia – Cited by 11 📱💻 (2020)
  • Promo Abuse Modeling in E-commerce Using Machine Learning Approach – Cited by 9 🛒🤖 (2020)
  • Cross-Industry Standard Process for Data Mining (CRISP-DM) – Cited by 7 🔍📊 (2020)
  • Risk of Invalidation of Data in Hospital Information Systems in Indonesia – Cited by 6 🏥💾 (2020)
  • Digital Transformation of Information Fulfillment and Patient Engagement for Health Service Safety – Cited by 5 🌐💡 (2022)
  • Drug Stock Optimization Based on Consumption Patterns for Hospital Formulary Using Deep Learning Approach – Cited by 5 💊🤖 (2020)
  • Design of Cloud Computing Outpatient Registration Model Through SMS Messages at Hospitals Using TOGAF ADM – Cited by 5 ☁️📱 (2020)
  • Customer Churn Prediction Models for PT. XYZ Insurance – Cited by 4 💼📉 (2020)
  • Determinants of Digital Adoption Capability for Service Performance in Indonesian Hospitals: A Conceptual Model – Cited by 3 🏥🔧 (2024)
  • Paradoxes in Telemedicine Services: Analysis of Challenges and Opportunities for the Future of Digital Health-A Systematic Literature Review – Cited by 1 📞🌍 (2024)

Aqsa Munir | Telemedicine | Best Researcher Award

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Ms. Aqsa Munir | Telemedicine | Best Researcher Award

Ms. Aqsa Munir, Dow Medical College, Pakistan

A dedicated 5th-year MBBS student at Dow Medical College, Aqsa is passionate about clinical medicine and research. With hands-on experience in OB/GYN, vascular surgery, and cardiology at leading institutions, she excels in patient care and teamwork. Aqsa has contributed to significant research projects, earning accolades like the first prize at the AKU Internal Medicine Conference. Currently preparing for the PLAB exams, she is committed to advancing healthcare through her compassionate approach and strong research skills. 🏥📊

Publication Profile

Orcid

Academic Background

Ms. Aqsa Munir is currently a dedicated 5th-year MBBS student at Dow Medical College, with an expected qualification in 2025. Her strong educational foundation in medicine, complemented by her commitment to clinical research, positions her well for this award. As she prepares for the PLAB exams, her ambition to expand her opportunities in the UK further illustrates her proactive approach to her career.

Clinical Experience

Her hands-on experience in various specialties—including Obstetrics and Gynecology, Vascular Surgery, and Cardiology—at prominent institutions like Aga Khan University Hospital and the National Institute of Cardiovascular Diseases, reflects her strong foundation in patient care and clinical procedures. This diverse clinical exposure not only enhances her practical skills but also informs her research with real-world insights, making her research more relevant and impactful.

Research Contributions

Ms. Munir has actively contributed to numerous research projects, including clinical audits and systematic reviews. Her involvement in projects such as “Trends of Statins Prescription for Primary Prevention of Cardiovascular Diseases” and “Telemedical Strategies for the Improvement of Secondary Prevention in Patients with Cerebrovascular Events” highlights her ability to engage in significant medical inquiries. Her experience with meta-analyses further emphasizes her analytical skills, which are essential for impactful research.

Awards and Recognition

Her recognition at the 3rd Internal Medicine Conference at Aga Khan University Hospital, where she received the first prize for her clinical audit, demonstrates her research capabilities and ability to present findings effectively. Additionally, her active participation in workshops and mock tumour boards underscores her commitment to continuous learning and collaboration in the medical field.

Conclusion

Ms. Aqsa Munir embodies the qualities sought in the Best Researcher Award. Her rigorous academic training, diverse clinical experience, active engagement in meaningful research projects, and commitment to community service make her an outstanding candidate. Her passion for advancing healthcare through research positions her as a promising leader in the medical field, deserving of recognition through this award.

Publication Top Notes  

Telemedical strategies for improving systolic blood pressure control in secondary prevention of cerebrovascular events-a systematic review and meta-analysis

 

 

 

 

Hale Ayatollahi | Health Informatics | Best Researcher Award

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Dr. Hale Ayatollahi | Health Informatics | Best Researcher Award

Professor, Iran University of Medical Sciences, Iran

🌟 Haleh Ayatollahi is a distinguished professor and researcher in medical informatics at Iran University of Medical Sciences. With an extensive background in health informatics and medical records, she has significantly contributed to the field through her innovative research, numerous publications, and leadership roles. As the Director of the Deputy of Research and Technology at both the School of Health Management and Information Sciences and the Health Management and Economics Research Centre, she continues to shape the future of health information technology and management.

Profile

Scopus

 

Education

🎓 Haleh Ayatollahi holds a PhD in Health Informatics from the University of Sheffield, UK (2006-2010). She also earned her M.Sc. in Medical Records Education (2000-2002) and her B.Sc. in Medical Records (1996-1998) from Iran University of Medical Sciences, where she also completed an Associate Degree in Medical Records (1994-1996).

Experience

🔬 Haleh Ayatollahi is currently serving as the Director of the Deputy of Research and Technology at the School of Health Management and Information Sciences and the Health Management and Economics Research Centre, Iran University of Medical Sciences. Since 2023, she has also been a professor in Medical Informatics. Her prior roles include administrative positions and teaching assignments, such as the Postgraduate and Education Office Administrator at Iran University of Medical Sciences (2014-2016) and a Teaching Assistant at the University of Sheffield, UK (2009).

Research Interests

🧠 Haleh Ayatollahi specializes in health data science, telemedicine, telehealth, mhealth, ehealth, health information systems, user-centered information systems design, evaluation of health information systems, systematic reviews, and IT adoption and change management. Her work focuses on leveraging technology to improve healthcare delivery and management.

Awards

🏆 Haleh Ayatollahi has received numerous accolades for her contributions to health informatics and education. In 2023, she was honored with the Best Thesis Award at the 8th Vosough Festival and served as an Editorial Board Member for the International Research Excellence and Citation Awards. She has also won the Best Paper Presentation Award at the 9th National Burn Congress (2020), the Khayam Award for a selected PhD thesis (2019), and multiple awards at the “Future Day” Festival (2017).

Publications

The application of health information technology for the elderly care in the emergency department: a conceptual model

Challenges of using telemedicine for patients with diabetes during the COVID-19 pandemic: A scoping review

Machine Learning Techniques for Predicting Drug-Related Side Effects: A Scoping Review

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

A review of future studies in the field of health information technology

 

 

Tang Gao | Medicine and Dentistry | Best Researcher Award

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Dr. Tang Gao | Medicine and Dentistry | Best Researcher Award

Huazhong University of Science and Technology Tongji Medical College Affiliated Union Hospital, China

Dr. Tang Gao, renowned for groundbreaking research in Medicine and Dentistry, has been honored with the prestigious Best Researcher Award. His exceptional contributions at Huazhong University of Science and Technology Tongji Medical College Affiliated Union Hospital, China, have significantly advanced healthcare knowledge and patient care. 🏆 Dr. Gao’s dedication to pioneering research not only inspires his peers but also enhances medical practices worldwide, setting a benchmark for excellence in academia and healthcare innovation.

Profile

Google Scholar

Education

Dr. Tang Gao is a dedicated professional with a strong academic background in medicine. He graduated from Hubei University of Chinese Medicine with a Bachelor’s degree in pharmacy in 2013, followed by a Master of Medicine from Central South University in 2016, and a Doctorate in Medicine in 2019. His journey reflects a deep commitment to advancing medical knowledge and expertise. 🎓 Dr. Gao’s academic pursuits have equipped him with a comprehensive understanding of pharmaceutical sciences and clinical practice, positioning him well to contribute significantly to the field of medicine.

Research and work experience

Dr. Tang Gao completed his post-doctoral work at Union Hospital, Tongji Medical College of HUST from October 2019 to June 2022. Since July 2022, he has served as an Assistant Professor at the same institution. His research focuses on [mention specific research interests if known]. With a commitment to advancing medical knowledge and education, Dr. Gao brings a wealth of experience and dedication to his role. 🎓 His contributions to academia and healthcare underscore his passion for bridging theory with practical application in medicine.

Projects

Dr. Tang Gao has secured several research grants to advance medical diagnostics and treatment modalities, focusing notably on heart transplant rejection and infectious disease detection. 🌟 His projects include developing activatable bionic probes targeting macrophages for early heart transplant rejection diagnosis, utilizing smart fluorescence/photoacoustic molecular probes for acute rejection diagnosis, and innovating rapid SARS-CoV-2 antibody detection methods. These efforts are supported by various foundations and institutions, highlighting his contributions to both clinical and research fields. Dr. Gao’s work underscores a commitment to integrating advanced biomedical technologies for improving patient outcomes and healthcare efficacy. 🧬

Academic awards

Dr. Tang Gao has achieved remarkable recognition in the field of medicine, notably earning accolades such as the Outstanding Doctoral Dissertation of Hunan Province and being named among the Outstanding Graduates of the region. His contributions to natural science have been acknowledged with the Second Prize of the Natural Science Award of Hunan Province. Additionally, he has been honored with the Chinese Medical Association Youth Science and Technology Award, highlighting his dedication and innovation in medical research and practice. 🌟 Dr. Gao’s accomplishments underscore his commitment to advancing healthcare and scientific knowledge.

Publications Top Notes

 

Sirwan Ahmed | Adult Nursing | Best Researcher Award

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Mr. Sirwan Ahmed | Adult Nursing | Best Researcher Award

Researcher, College of Nursing, University of Raparin, Rania, Slaymaniyan, Kurdistan Region, Iraq

 

📚 Sirwan Khalid Ahmed, RN, DIN, BSN, MSN, is a dedicated and experienced registered nurse from the Kurdistan region of Iraq. Currently residing in Sardam Street, Hajiawa, Rania, Sulaimani, Sirwan has a strong background in nursing education and practice, coupled with a passion for research and academic excellence.

Profile

Google Scholar

Education

🎓 Sirwan’s educational journey began at Kharman-Hajiawa Primary School (1995-2000) and continued through Hajiawa Preparatory School (2000-2008). He then pursued nursing at Erbil Polytechnique University’s Koye Technical Institute (2009-2011). His commitment to advancing his knowledge led him to the University of Raparin’s College of Nursing, where he is currently enrolled.

Experience

🩺 Sirwan has amassed significant experience in the nursing field, starting as a registered nurse in 2013 with the Raparin Directorate of Health. He has worked in various hospitals for five years, gaining expertise in patient care across different medical conditions. Additionally, Sirwan has volunteered for over a year at the University of Raparin, contributing to the academic community.

Research Interests

🔬 Passionate about research, Sirwan has been actively involved in writing and publishing research papers since 2020. He has completed courses on research writing, peer review, and submission, leading to numerous publications in international journals. His research interests encompass nursing processes, pain management, and patient care procedures.

Awards and Honors

🏅 Sirwan holds multiple certificates in various nursing-related fields, enhancing his knowledge and practical skills. He has also earned a Diploma, Bachelor’s, and Master’s degree in Science of Nursing. Currently, he serves as an Academic Editor for PLOS ONE and the Malaysian Journal of Nursing, reflecting his commitment to academic excellence.

Skills

💼 Sirwan is proficient in working independently or as part of a healthcare team, ensuring adherence to patient care procedures. His skills include patient assessment, treatment planning, supervision of nursing students, and effective communication with patients and their families. He is also adept in administrative duties and patient education.

Publications Top Notes

📚 Here are some of Sirwan’s notable publications:

“Effects of Nursing Interventions on Pain Management” – Published in International Journal of Nursing Studies (2020), cited by 15 articles.

“Patient Education and Chronic Disease Management” – Published in Journal of Advanced Nursing (2021), cited by 10 articles.

“Evaluating Nursing Practices in Acute Care Settings” – Published in Nursing Research and Practice (2022), cited by 8 articles.