Dilek Zengin | Healthcare Data Analysis | Best Researcher Award

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Assist. Prof. Dr. Dilek Zengin | Healthcare Data Analysis | Best Researcher Award

Ege University Nursing Faculty | Turkey

Dr. Dilek Zengin is an accomplished academic in pediatric nursing, currently serving in the Faculty of Nursing with a specialization in Child Health and Diseases Nursing. She earned her PhD from Ege University, where her research focused on innovative, simulation-based and video-supported nursing education. With over 100 publications and contributions to internationally indexed journals, her work emphasizes pediatric patient safety, pain assessment, and clinical training methodologies. Dr. Zengin has actively participated in numerous international conferences and research projects. Her commitment to advancing nursing education, combined with her research impact and academic experience, highlights her strong contribution to health sciences.

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Assoc. Prof. Dr. Med. Daniel Schmitz | Public Health Analytics | Research Excellence Award

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Assoc. Prof. Dr. Med. Daniel Schmitz | Public Health Analytics | Research Excellence Award

Helios Kliniken Schwerin | Germany

Dr. med. Daniel Schmitz is an experienced German physician specializing in gastroenterology and internal medicine, currently serving as Chief Physician at Helios Kliniken Schwerin. With a medical degree from Johannes Gutenberg University Mainz, he has held senior roles across leading hospitals, including Mannheim and Darmstadt. His expertise spans gastroenterology, diabetology, and interventional endoscopy, supported by multiple certifications and advanced qualifications. Dr. Schmitz is actively engaged in teaching at the Medical School Hamburg and mentoring future specialists. A prolific researcher, he has authored numerous scientific publications and contributes to international clinical studies and medical advancements in hepatology and gastrointestinal diseases.

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Aganglionic megacolon (Hirschsprung disease)—61 years to diagnosis
– Deutsches Ärzteblatt International, 2024

Viviana Sastre-Gomez | Public Health Analytics | Research Excellence Award

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Dr. Viviana Sastre-Gomez | Public Health Analytics | Research Excellence Award

Melbourne University | Australia

Dr. Viviana Sastre is a quantitative and computational researcher specializing in domestic violence, child exploitation, and public health analytics. With a PhD from the University of Melbourne, she has led advanced statistical analyses using large international datasets such as MICS and DHS, contributing to global policy development in collaboration with organizations like UNFPA. Her work integrates multidisciplinary methods, combining statistical modeling, computational approaches, and real-world data to address complex societal challenges. She has an extensive publication record, teaching experience in research methods, and strong involvement in international collaborations, demonstrating impactful contributions to research and policy innovation.

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Dr. Silviya Ivanova | Public Health Analytics | Research Excellence Award

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Dr. Silviya Ivanova | public health analytics |Research Excellence Award

Inselspital Bern | Switzerland

Dr. Silviya Ivanova is a dedicated and accomplished general and trauma surgeon based in Bern, Switzerland, currently serving as Junior Consultant in Orthopedic and Trauma Surgery at Inselspital, University Hospital of Bern. She completed her medical degree at Albert Ludwig University of Freiburg and earned her Dr. med. from the University of Bern. Board-certified in General Surgery (FMH) and Orthopaedic and Traumatology Surgery (FMH), she specializes in hip and pelvic surgery with a strong focus on orthogeriatrics and polytrauma care. Dr. Ivanova combines extensive clinical expertise with active research, contributing to peer-reviewed publications and international congress presentations. A committed educator and mentor, she supervises doctoral and master’s theses and regularly teaches medical students. Recognized with national research awards, she is an active member of leading Swiss surgical societies and remains dedicated to advancing patient-centered surgical care and innovation.

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Lovel Fornah | Healthcare Data Analysis | Best Researcher Award

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Mr. Lovel Fornah | Healthcare Data Analysis | Best Researcher Award

Mr. Lovel Fornah | Healthcare Data Analysis – EBK- University, Sierra Leone

Lovel Fornah is a passionate and dedicated researcher, lecturer, and public health professional with over five years of experience in teaching, research, and community service. He is currently a lecturer at Ernest Bai Koroma University in Sierra Leone, where he actively engages in teaching, research, and curriculum development. His areas of interest include infectious disease epidemiology, health policy, global health, and environmental health. He has worked on multiple research projects and is committed to making significant contributions to public health research, particularly in areas like outbreak response, HIV testing, and disease prevention. Lovel’s leadership roles as the Executive Director of Health_Link Salone, where he led important projects in water and sanitation, reflect his broad expertise in public health practice. His work combines hands-on experience in field surveillance and a deep understanding of public health issues in Sierra Leone and globally.

👨‍🎓 Profile

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🎓 Education 

Lovel Fornah holds a PhD candidacy in Epidemiology and Health Statistics from Shandong University, China, where he is working on his thesis titled “Spatiotemporal Analysis of HIV Prevalence, Testing Uptake, and Loss to Follow-Up after Initiation of Antiretroviral Therapy in Sierra Leone.” He completed his Master of Public Health (MPH) at Southeast University, China, in 2018, with a focus on the interaction between hypermethylation and environmental factors in esophageal cancer. Lovel’s academic journey began with a Bachelor of Science (BSc) in Biological Sciences from Njala University, Sierra Leone, where he explored gastrointestinal parasitism in marine fish. He has received specialized training in epidemiology, health statistics, and health education, enhancing his research methodology and data analysis skills. His broad educational background and ongoing PhD studies reflect his dedication to public health research and academic excellence.

💼 Professional Experience

Lovel Fornah has accumulated substantial experience as a lecturer, researcher, and public health leader. Since 2019, he has served as a lecturer at Ernest Bai Koroma University, where he teaches, mentors, and conducts research, contributing to course design and curriculum development. His leadership experience includes serving as the Executive Director of Health_Link Salone (2018-2022), where he managed staff, projects, and finances, ensuring the successful implementation of public health initiatives, including water and sanitation projects in rural Sierra Leone. He has also volunteered in surveillance roles, including with the District Health Management Team (2016) and as a Case Investigation Team Lead during the Ebola outbreak in Sierra Leone (2014-2015). These roles involved conducting health data collection, analysis, and intervention strategies, which helped in the early detection and prevention of diseases. His professional journey has prepared him to make significant contributions to both academia and public health practice.

🏅 Awards and Recognition 

Lovel Fornah’s work has been recognized both in his home country of Sierra Leone and internationally. He is the recipient of various accolades for his academic achievements and public health contributions. His research in infectious disease epidemiology, particularly his involvement in the Ebola outbreak response, earned him commendations for his leadership and impact on public health in Sierra Leone. In addition, his work on HIV testing and prevention has been widely acknowledged, with several of his publications cited in global public health discussions. Lovel has been invited to present his findings at numerous international conferences and has received grants and scholarships to further his research in public health. He was awarded the Certificate for “Outstanding Service to Public Health” by Health_Link Salone and has been recognized by his peers and colleagues for his contributions to improving health systems and response strategies in Sierra Leone and globally.

🌍 Research Skills 

Lovel Fornah is a highly skilled researcher with expertise in epidemiology, biostatistics, and health data analysis. His proficiency in statistical modeling and geographical information systems (GIS) allows him to conduct in-depth spatial and temporal analyses, which are key in understanding public health issues such as disease outbreaks and HIV prevalence. He is experienced with a wide array of data analysis software, including STATA, R-Studio, ArcGIS, and SaTScan, which enhances his ability to manage complex datasets. Lovel’s research focuses on the intersection of public health, environmental factors, and disease dynamics, with an emphasis on One Health research. His ability to lead field studies, design surveys, and manage public health projects has been instrumental in his previous roles. He is also skilled in scientific writing and has contributed to several peer-reviewed publications in journals such as BMC Public Health and International Journal of Environmental Research and Public Health.

📖  Top Noted Publications

Geographic variations and determinants of ever-tested for HIV among women aged 15–49 in Sierra Leone: a spatial and multi-level analysis – BMC Public Health, 2025-03-11

Investigating Empirical evidence on the Epidemiology, Diagnosis and Bibliometric analysis of the 100 topmost cited publications on Tuberculosis Disease – PAN AFRICA SCIENCE JOURNAL, 2024-12-16

The Association between Compound Hot Extremes and Mortality Risk in Shandong Province, China: A Time-Series Analysis – Atmosphere, 2023-11

Impact of Social Media Use on HIV Testing and Related Mediator among Men Who Have Sex with Men in Shandong Province, China – International Journal of Environmental Research and Public Health, 2023-04-04

Shuaa S. Alharbi | Bioimage informatics | Best Researcher Award

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Dr. Shuaa S. Alharbi | Bioimage informatics | Best Researcher Award

Doctorate at Department of Information Technology, College of Computer, Qassim University, Saudi Arabia

👨‍🎓Professional Profiles

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👩‍💻 Summary

Dr. Shuaa S. Alharbi is an Assistant Professor in the Department of Information Technology at the College of Computer, Qassim University, Saudi Arabia. With a strong interdisciplinary background, she specializes in machine learning and image processing, particularly their applications in biomedical fields. Her research focuses on leveraging deep learning techniques to analyze medical images and improve diagnostic accuracy. Dr. Alharbi is dedicated to advancing bioinformatics and medical image analysis using cutting-edge technology.

🎓 Education

Dr. Alharbi holds a Ph.D. in Computer Science from Durham University, UK (2020), and both an M.Sc. and B.Sc. in Computer Science from Qassim University (2007) and King Saud University (2014), respectively. Her academic journey has provided her with a solid foundation in computer science, further augmented by extensive research in machine learning and bioimaging.

💼 Professional Experience

Dr. Alharbi has accumulated years of academic experience. She started as a Teaching Assistant at Qassim University in 2008, then progressed to Lecturer in 2015. Since 2020, she has served as an Assistant Professor at the same institution. Throughout her career, she has mentored students and contributed significantly to the academic environment at Qassim University, particularly in the Information Technology Department.

📝 Academic Committees & Administrative Roles

Dr. Alharbi has been deeply involved in various administrative roles at Qassim University. She served as E-content Supervisor (2020-2022), and currently coordinates the IT Department (2020-present). She is also a Postgraduate Supervisor (2023-present) and has been a Permanent Member of the Standing Committee for Assistance in the Scientific Council since 2023, contributing to the advancement of educational practices and research policies at the university.

🔬 Research Interests

Dr. Alharbi’s research interests are at the intersection of machine learning, image processing, and bioinformatics. She focuses on the application of deep learning for medical image analysis, working to enhance disease detection and diagnostic precision. Her work includes developing novel deep learning architectures and data-driven models to solve complex problems in medical and biological imaging.

🖥️ Technical Skills

Dr. Alharbi is proficient in a range of technical skills, including machine learning and deep learning frameworks, image and signal processing, computer graphics, and bioinformatics. She is experienced with programming languages such as Python, MATLAB, C++, and Java, and is adept at using these tools to solve complex problems in medical image analysis and other interdisciplinary fields.

📚 Teaching Experience

In addition to her research, Dr. Alharbi has taught several graduate-level courses, including Data Science, Computer Graphics, and Health Information Systems. She has also supervised Master’s theses in fields like cybersecurity, blockchain, and medical image processing, contributing to the academic growth of students in the Information Technology and Cybersecurity programs.

🌍 Conferences & Seminars

Dr. Alharbi has presented her work at prestigious international conferences, such as the IEEE BIBM International Conference on Bioinformatics and Biomedicine (Spain) and the Medical Image Computing Summer School at UCL (London). These platforms have allowed her to collaborate with global experts and stay at the forefront of research in bioimaging and machine learning.

💡 Research Grants

Dr. Alharbi was awarded a Coffee Research Grant from the Saudi Ministry of Culture, under the Saudi Heritage Preservation Society, showcasing her active involvement in research funding and promoting innovation in her fields of expertise.

 

📖 Top Noted Publications