Sarka Lisonkova | Health Professions | Women Research Award

Assoc Prof Dr. Sarka Lisonkova | Health Professions | Women Research Award

The University of British Columbia | Canada

Author Profile

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Orcid

Early Academic Pursuits

Dr. Sarka Lisonkova's academic journey began at Palacky University in Olomouc, Czech Republic, where she earned her MD degree in 1994. She then pursued a Master's degree in Epidemiology at the State University of New York, USA, completing it in 1999. Her academic excellence continued at the University of British Columbia (UBC) in Canada, where she obtained her PhD in Epidemiology in 2009. Following her PhD, Dr. Lisonkova undertook post-doctoral research at UBC, focusing on epidemiological studies from 2009 to 2012.

Professional Endeavors

Dr. Lisonkova’s professional career is marked by significant roles both before and during her tenure at UBC. Before joining UBC, she was an Assistant Professor at Palacky University and a Visiting Researcher at the Scientific Institute of Public Health Louis Pasteur in Brussels, Belgium. At UBC, she has held various positions, starting as a Social Science Researcher from 2000 to 2007, advancing to a Research Associate, and then to an Assistant Professor in Obstetrics and Gynecology from 2014 to 2019. She has been an Associate Professor in the same department since 2019 and is also an associate member of the School of Population and Public Health since 2015.

Contributions and Research Focus

Dr. Lisonkova has made substantial contributions to the field of Obstetrics and Gynecology, particularly in reproductive and child health sciences. She developed OBST 504, a course that emphasizes the critical appraisal of research in reproductive and children's health sciences, which has been incorporated into UBC’s curriculum. Her research interests include maternal and perinatal epidemiology, with a focus on understanding the factors underlying maternal and neonatal health outcomes. She is also actively involved in international collaborations aimed at preventing preterm births and improving neonatal health.

Accolades and Recognition

Throughout her career, Dr. Lisonkova has received numerous awards and distinctions. Some notable recognitions include the Harold A. Kaminetzky Prize Paper award in 2018 for her co-authored paper on maternal mortality in the United States and the Highly Cited Research Award from the American Journal of Obstetrics and Gynecology in 2016. Additionally, she has received various scholarships and fellowships, such as the Senior Graduate Scholarship from the Canadian Institutes for Health Research and the Graduate Scholarship from the Michael Smith Foundation for Health Research.

Impact and Influence

Dr. Lisonkova's impact extends beyond her research contributions. She has been actively involved in shaping future research agendas through her participation in national and international workshops and committees. Notably, she was invited to the Core Stillbirth Estimation Group by the United Nations and has contributed to the Society of Obstetricians and Gynaecologists of Canada’s workshop on maternal mortality and morbidity. Her leadership in the New Vulnerable Newborn Measurement collaboration highlights her influence in neonatal health research.

Legacy and Future Contributions

Dr. Lisonkova's legacy in the field of Obstetrics and Gynecology is characterized by her dedication to improving maternal and neonatal health outcomes through rigorous research and international collaboration. Looking forward, her ongoing work with the PREBIC collaboration and other international initiatives positions her to continue making significant contributions to the field. Her commitment to education and mentorship also ensures that her influence will be felt by future generations of researchers and healthcare professionals.

 

Notable Publications

Racial/Ethnic Disparity in Severe Maternal Morbidity Among Women Who Conceived by In-vitro Fertilization 2024

A history of recurrent pregnancy loss is associated with increased perinatal complications, but not necessarily a longer birth interval: a population study spanning 18 years 2024

Variation in Episiotomy Use Among Nulliparous Individuals by Maternity Care Provider and Associated Rates of Obstetric Anal Sphincter Injury 2024

Severe Maternal Morbidity and Mental Health Hospitalizations or Emergency Department Visits 2024

Maternal mortality in the United States: are the high and rising rates due to changes in obstetrical factors, maternal medical conditions, or maternal mortality surveillance? 2024 (6)

 

 

 

Gozde Ozaras Oz | Nursing and Health Professions | Best Researcher Award

Assist Prof Dr. Gozde Ozaras Oz | Nursing and Health Professions | Best Researcher Award

Cankiri Karatekin University | Turkey

Author Profile

Scopus

Early Academic Pursuits

Dr. Gozde Ozaras Oz embarked on her academic journey with a fervent passion for nursing education and patient care. She pursued her doctoral studies at Hacettepe University's Institute of Health Sciences, completing her thesis titled "Leadership in Nursing" with the "Flicted Classroom Model." This pioneering research explored the impact of innovative teaching methods on learning outcomes, under the guidance of Thesis Advisor Emine Süheyla Abaan. Prior to her doctoral studies, Dr. Oz earned her master's degree from Ankara University, focusing on enhancing the quality of life for patients diagnosed with cancer at the Gynecological Oncology Clinic of Gazi University Faculty of Medicine Hospital, under the mentorship of Thesis Advisor Zeliha Ferda Özyurda.

Professional Endeavors

Armed with her academic achievements, Dr. Ozaras Oz transitioned seamlessly into the realm of academia. She assumed the role of Assistant Professor at Cankiri Karatekin University's Faculty of Health Sciences, where she made significant contributions to the Nursing Principles Department. Over the course of a decade, she served as a lecturer, imparting invaluable knowledge to aspiring nursing professionals while actively engaging in research endeavors. Dr. Oz also took on administrative responsibilities, demonstrating her leadership abilities as Vice Dean at Cankiri Karatekin University's Faculty of Health Sciences.

Contributions and Research Focus

Dr. Ozaras Oz's scholarly pursuits center on advancing nursing education and patient care practices. Her research endeavors have focused on topics ranging from hemodialysis knowledge among nurses to the impact of web-based education on intramuscular injection skills. Notably, she has supervised several theses, fostering the academic growth of future nursing leaders. Additionally, Dr. Oz has led research projects aimed at enhancing patient care, including initiatives focused on digitalization in health sciences and innovations in patient hygiene practices.

Accolades and Recognition

Dr. Gozde Ozaras Oz's contributions to the field of nursing education and patient care have garnered recognition and accolades. Her innovative approach to teaching and research has earned her the admiration of peers and students alike. Furthermore, her commitment to academic excellence and leadership has been acknowledged through prestigious awards and appointments, including the honor of being named Vice Dean at Cankiri Karatekin University.

Impact and Influence

Dr. Ozaras Oz's work has had a profound impact on nursing education, research, and practice. Through her scholarly pursuits, she has advanced the knowledge base in nursing and contributed to the development of innovative teaching methodologies. Her research findings have informed evidence-based practices, ultimately enhancing patient care outcomes. Moreover, her leadership roles have inspired and empowered future generations of nursing professionals.

Legacy and Future Contributions

As Dr. Gozde Ozaras Oz continues her academic journey, her legacy of excellence in nursing education and patient care will endure. Her dedication to advancing the field through research, teaching, and leadership serves as a beacon of inspiration for aspiring scholars and practitioners. With a steadfast commitment to innovation and excellence, she will undoubtedly continue to make significant contributions to the nursing profession, leaving a lasting impact on healthcare delivery and patient outcomes.

Notable Publications

Acceptance and Attitudes towards the COVID-19 Vaccines between 18-55 Ages: A Mixed Study from Turkey 2022

The effects of web based education and Kahoot usage in evaluation of the knowledge and skills regarding intramuscular injection among nursing students 2021 (21)

Use of a flipped classroom “Leadership in Nursing” course on nursing students' achievement and experiences: A quasi-experimental study 2021 (11)

 

 

Bin Hu | Medicine and Dentistry | Best Researcher Award

Mr. Bin Hu | Medicine and Dentistry | Best Researcher Award

Hubei University of Technology | China

Author Profile

Scopus

Early Academic Pursuits

Bin Hu embarked on his academic journey at Hubei University of Technology, specializing in computer vision. During his undergraduate studies, he demonstrated exceptional promise by authoring three papers, including a groundbreaking cell nucleus segmentation method published in a prestigious journal.

Professional Endeavors

Currently pursuing graduate studies, Bin Hu has amassed over 7 years of experience in computer vision. He has led research projects during his postgraduate studies and actively contributed to multidisciplinary collaborations, showcasing his ability to tackle diverse challenges.

Contributions and Research Focus

Bin Hu's research focuses on computer vision, with a particular emphasis on developing advanced segmentation methods for medical imaging. His recent work introduces the Double-stage Codec Attention Network, a novel approach for accurate nucleus segmentation from tissue images. This method leverages hierarchical feature extraction, feature selection units, and multi-scale deep feature fusion to achieve superior segmentation performance.

Accolades and Recognition

Bin Hu's contributions have garnered recognition both nationally and internationally. He holds two national patents for inventions in his field and has presented his research at esteemed conferences such as IEEE Transactions on Medical Imaging. His pioneering work has earned him awards and recognition.

Impact and Influence

Bin Hu's research has significant implications for clinical applications, particularly in the field of medical imaging. His innovative segmentation methods, such as DSCA-Net, outperform state-of-the-art models and demonstrate excellent efficiency in generating predictive images. His contributions have the potential to advance the field of computer vision and improve medical diagnosis and treatment.

Legacy and Future Contributions

Bin Hu's expertise in computer vision and his practical problem-solving skills position him as a valuable contributor to innovative projects in both academic and industrial settings. His dedication to advancing research in medical imaging underscores his commitment to making meaningful contributions to society. As he continues his academic and professional journey, Bin Hu aims to further expand his research portfolio and drive advancements in computer vision technology.

Notable Publications

DSCA-Net: Double-stage Codec Attention Network for automatic nuclear segmentation 2024

Focus Stacking with High Fidelity and Superior Visual Effects 2024

Chansokhon Ngan | Medicine and Dentistry | Best Researcher Award

Mr. Chansokhon Ngan | Medicine and Dentistry | Best Researcher Award

West China Hospital of Sichuan University | China

Author Profile

Orcid

Early Academic Pursuits

Mr. Chansokhon Ngan embarked on his academic journey with a fervent dedication to advancing knowledge in critical care medicine. As a PhD student specializing in Critical Care Medicine at West China Hospital of Sichuan University, he cultivated a strong foundation in research methodologies, data analysis, and clinical practice. His academic pursuits equipped him with the necessary skills to address complex clinical challenges and contribute meaningfully to patient care and medical research.

Professional Endeavors

Throughout his career, Mr. Ngan has been committed to advancing knowledge in critical care medicine through his research endeavors. One of his notable studies, titled "Cardiac index and heart rate as prognostic indicators for mortality in septic shock: A retrospective cohort study from the MIMIC-IV," exemplifies his dedication to excellence in research. Published in Heliyon Journal, this study investigated the relationship between cardiac index (CI), heart rate (HR), and mortality in septic shock patients, utilizing sophisticated data analysis techniques.

Contributions and Research Focus

Mr. Ngan's research focus revolves around critical illnesses, such as septic shock and acute respiratory distress syndrome (ARDS). His contributions to the field include studies on prognostic indicators for mortality in septic shock and predicting the early incidence and stratification of ARDS. Additionally, he is engaged in investigating the application of critical care ultrasound in managing acute respiratory and circulatory dysfunction, aiming to enhance clinical practices and improve patient outcomes.

Accolades and Recognition

Mr. Ngan's dedication to excellence in research has earned him recognition in the medical community. His study on prognostic indicators for mortality in septic shock, published in Heliyon Journal, showcases his commitment to advancing knowledge in critical care medicine. His contributions have been acknowledged for their implications for clinical practice and patient care.

Impact and Influence

Mr. Ngan's research endeavors have made a significant impact on the field of critical care medicine. By investigating prognostic indicators for mortality in septic shock and exploring the application of critical care ultrasound, he has contributed valuable insights that have the potential to improve patient outcomes and enhance clinical practices. His work has influenced the way healthcare providers monitor and manage critical illnesses, leading to more informed decision-making and improved patient care.

Legacy and Future Contributions

As Mr. Ngan continues his academic journey, he remains dedicated to making meaningful contributions to the field of critical care medicine. His research legacy encompasses a commitment to excellence, innovation, and improving patient outcomes. Through his ongoing endeavors, he aims to advance knowledge in critical care medicine, ultimately leaving a lasting impact on the field and paving the way for enhanced clinical practices and patient care.

Notable Publications

Cardiac index and heart rate as prognostic indicators for mortality in septic shock: A retrospective cohort study from the MIMIC-IV database 2024

Banafshe Felfeliyan | Health Professions | Best Researcher Award

Dr. Banafshe Felfeliyan | Health Professions | Best Researcher Award

University of Alberta | Canada

Author Profile

Scopus

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Early Academic Pursuits

Dr. Banafshe Felfeliyan embarked on her academic journey with a Bachelor's degree in Computer Engineering from Isfahan University of Technology, Iran, followed by a Master's focusing on coronary vessel segmentation. She then pursued a Ph.D. in Biomedical Engineering, specializing in medical imaging, from the University of Calgary, Canada. Her doctoral research delved into automatic quantification of osteoarthritis features using deep learning techniques.

Professional Endeavors

Dr. Felfeliyan's professional career has been marked by significant contributions in the field of medical imaging and artificial intelligence. She served as a Computer Research Engineer at the McCaig Institute, University of Calgary, where she worked on bone segmentation using deep learning. Later, she transitioned to the role of a Postdoctoral Research Fellow at the Radiology & Diagnostic Imaging Department, University of Alberta, leading projects focused on AI-driven MRI biomarker profiling for osteoarthritis.

Contributions and Research Focus

Her research primarily revolves around the intersection of medical imaging and artificial intelligence, with a focus on automated AI biomarker extraction, machine learning, deep learning, and domain adaptation. Dr. Felfeliyan has made significant contributions to the development of novel algorithms and methodologies for medical image segmentation and analysis, particularly in the context of osteoarthritis diagnosis and assessment.

Accolades and Recognition

Dr. Felfeliyan's outstanding contributions have been recognized through numerous honors and awards, including the Alberta Innovates Postdoctoral Recruitment Fellowship, Biomedical Engineering Research Excellence Award, and the AI Week Talent Bursary from the Alberta Machine Intelligence Institute. She was also honored as one of the top 15 young female scientists in Canada at the SCWIST Symposium.

Impact and Influence

Her research outputs, comprising publications in prestigious journals and presentations at international conferences, demonstrate the significant impact of her work on the scientific community. Dr. Felfeliyan's innovative approaches to medical image analysis have the potential to revolutionize clinical diagnosis and treatment planning, ultimately improving patient outcomes and healthcare delivery.

Legacy and Future Contributions

Dr. Felfeliyan's legacy lies in her pioneering work at the intersection of biomedical engineering and artificial intelligence, shaping the future of medical imaging and diagnostics. Her commitment to mentorship and teaching ensures the continuity of her legacy by nurturing the next generation of researchers and engineers. As she continues her academic journey, Dr. Felfeliyan remains dedicated to advancing the frontiers of knowledge and making meaningful contributions to healthcare innovation.

Notable Publications

OMERACT validation of a deep learning algorithm for automated absolute quantification of knee joint effusion versus manual semi-quantitative assessment 2024

 

 

 

Cuijuan Lou | Engineering | Best Researcher Award

Dr. Cuijuan Lou | Engineering | Best Researcher Award

Henan University of Technology |  China

Author Profile

Scopus

Early Academic Pursuits

Dr. Cuijuan Lou embarked on her academic journey with a Bachelor's degree in Mathematics and Applied Mathematics from Henan University, followed by a Master's degree in Applied Mathematics from Huazhong University of Science and Technology. She further pursued her passion by completing a Ph.D. in Biomedical Engineering from Huazhong University of Science and Technology, specializing in medical image processing and medical ultrasound imaging. Her academic pursuits instilled in her a deep understanding of mathematical principles and their applications in various domains.

Professional Endeavors

Dr. Lou's professional journey began as a Lecturer at Xinxiang Vocational and Technical College, where she taught Advanced Mathematics and Probability Theory and Mathematical Statistics. She currently holds a position as a Lecturer at Henan University of Technology, School of Artificial Intelligence and Big Data, where she imparts knowledge on Probability Theory, Mathematical Statistics, Regression Analysis, and other subjects. Her dedication to education is evident from her involvement in teaching various courses and guiding students in their academic endeavors.

Contributions and Research Focus

Dr. Lou's research focus lies in medical ultrasound imaging algorithms and statistical analysis methods. She has contributed significantly to projects aimed at developing innovative ultrasound imaging techniques for medical diagnostics, including breast ultrasound CT imaging methods and noninvasive screening of birth defects. Her expertise in Matlab, R, and Python programming, combined with her proficiency in statistical analysis, has enabled her to explore new avenues in medical imaging research.

Accolades and Recognition

Dr. Lou's contributions to academia have been recognized through various awards and scholarships, including the "Sanhao" doctoral candidate scholarship and the "Shunde Intelligent Creation" scholarship from Huazhong University of Science and Technology. She has also received accolades for her teaching excellence, earning the Third Prize in the Teaching Award Competition of Henan University of Technology.

Impact and Influence

Dr. Lou's research has made a significant impact on the field of medical imaging, particularly in developing advanced techniques for early diagnosis and screening of diseases. Her work has not only contributed to scientific knowledge but has also paved the way for improved healthcare practices, benefiting patients and healthcare professionals alike.

Legacy and Future Contributions

Dr. Lou's legacy lies in her dedication to advancing medical imaging technology and her commitment to educating the next generation of researchers. With her continued efforts in research and teaching, she aims to further her contributions to the field of biomedical engineering, leaving a lasting impact on healthcare innovation and education.

Notable Publications

A coupling, stabilizing, and shaping strategy for breast ultrasound computed tomography (USCT) with a ring array transducer 2024

Self-supervised transformer based non-local means despeckling of optical coherence tomography images 2023 (4)

Ultrasound Planar Array Imaging Metric Analysis 2021 (1)

Double Stage Delay Multiply and Sum Beamforming Combined With Full-Lag Spatial Coherence in Ultrasound Imaging 2021 (1)

Zero-Phase Filtered Delay Multiply and Sum in Ultrasound Computed Tomography 2017 (7)

 

 

Assist Prof Dr . Zohour Rashwan | Nursing and Health Professions | Best Researcher Award

Assist Prof Dr . Zohour Rashwan | Nursing and Health Professions | Best Researcher Award

University of Bahrain | Bahrain

Author Profile

Scopus

Early Academic Pursuits

Zohour Ibrahim Mahmoud Rashwan embarked on her academic journey with a profound interest in pediatric and neonatal nursing. Her Master's thesis focused on maternal knowledge and practices concerning oral medication administration to young children, showcasing an early dedication to improving healthcare practices for children.

Professional Endeavors

Transitioning into her doctoral studies, Zohour delved deeper into the critical realm of neonatal care, specifically exploring the impact of endotracheal tube care protocols on complications in mechanically ventilated neonates. Simultaneously, she engaged as a BLS (Basic Life Support) Instructor and a Health Information System Trainer, broadening her scope in healthcare education and technology.

Contributions and Research Focus

Zohour's research primarily revolves around optimizing care protocols for neonates undergoing mechanical ventilation. Her PhD thesis, investigating the effects of endotracheal tube care protocols, highlights her commitment to mitigating complications in this vulnerable patient population. Moreover, her MSc thesis emphasizes the importance of parental education in managing childhood illnesses, addressing a crucial aspect of pediatric healthcare.

Accolades and Recognition

Her academic pursuits have earned Zohour recognition in the field, evident through her achievements in pediatric and neonatal nursing. While specifics about awards or honors may be lacking, her dedication to research and education within these specialties speaks volumes about her commitment to excellence.

Impact and Influence

Zohour's work directly impacts the healthcare landscape, particularly in neonatal and pediatric settings. By focusing on improving care protocols and parental education, she contributes to enhancing healthcare outcomes for the youngest and most vulnerable patients. Her roles as an educator and trainer further extend her influence by disseminating critical knowledge within the healthcare community.

Legacy and Future Contributions

Zohour Ibrahim Mahmoud Rashwan's legacy lies in her efforts to refine care protocols for neonates, aiming to reduce complications during mechanical ventilation. Her dedication to educating both parents and healthcare professionals reflects a holistic approach to pediatric care. Her future contributions may include continued research, advocacy for evidence-based practices, and further advancements in healthcare education and technology for neonatal and pediatric care.

Notable Publications

Psychological first aid intervention: rescue from psychological distress and improving the pre-licensure nursing students’ resilience amidst COVID-19 crisis and beyond 2023 (3)

Bundling gentle body massage along with regular position change under phototherapy among full-term neonates with hyperbilirubinemia: Is it effective? 2023 (1)

Motivation inspiring confidence: effect of scenario-based learning on self-confidence among prelicensure nursing students 2023 (1)