Mohammadreza Kordbagheri | Psychology | Best Researcher Award

Dr. Mohammadreza Kordbagheri | Psychology | Best Researcher Award

Shahid Beheshti University | Iran

Author Profile

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Early Academic Pursuits

Dr. Mohammadreza Kordbagheri's journey into the realm of data analysis and statistical expertise began with his impressive academic achievements. He completed his PhD in Science, specializing in statistics and psychometrics, from Shahid Beheshti University, Tehran, in 2023. Dr. Kordbagheri's academic prowess was evident early on as he ranked seventh in the senior entrance exam and graduated as the top student in his course with a GPA of 4.0.

Professional Endeavors

Throughout his career, Dr. Kordbagheri has held various consultancy roles, contributing his statistical expertise to several institutions. From 2018 to 2019, he served as a Statistics Consultant at Shahid Beheshti University and at the Colleges of Nursing and Midwifery at both Tehran University and Babol University. His role extended to being a Statistical Assistant at the Data Machin Institute in Tehran from 2019 to 2023. These roles have solidified his reputation as a proficient data analyst capable of transforming raw data into insightful reports and presentations that aid academic decision-making.

Contributions and Research Focus

Dr. Kordbagheri has a robust research portfolio with numerous published papers. His research spans a wide array of topics, including psychological well-being, treatment adherence in diabetes patients, personality traits, parental blame among parents of children with autism spectrum disorder, and psychometric evaluations. Notably, his work often employs advanced statistical techniques such as structural equation modeling, network analysis, and meta-analysis, showcasing his technical proficiency and innovative approach to data analysis.

Accolades and Recognition

Dr. Kordbagheri's expertise in statistical analysis and psychometrics has earned him recognition in the academic community. His ability to design specialized scales and perform complex actuarial calculations, along with his proficiency in various statistical software like R and MPLUS, has distinguished him as an expert in his field. His skills in responding to reviewer comments for ISI articles and developing creative solutions to improve efficiency are particularly noteworthy.

Impact and Influence

Dr. Kordbagheri's work has had a significant impact on the fields of statistics and psychometrics, particularly in healthcare and psychological research. His contributions to understanding the psychological factors affecting health behaviors and the development of psychometric tools have provided valuable insights and methodologies for future research. His published papers are widely cited, reflecting the influence and importance of his work in these areas.

Legacy and Future Contributions

As Dr. Kordbagheri continues to advance in his career, his legacy as a skilled data analyst and researcher is firmly established. His comprehensive skill set, which includes advanced statistical modeling, machine learning implementation, and psychometric assessment, positions him to continue making significant contributions to his field. His commitment to improving efficiency and streamlining processes through creative solutions suggests that his future work will continue to shape and innovate the landscape of statistical analysis and research methodologies.

 

Notable Publications

📄 Article: The mediating role of psychological well-being in the relationship between the light triad of personality and sense of concordance with treatment adherence in patients with type 2 diabetes: A network analysis and structural equation modeling study

  • Authors: Mohammadreza Kordbagheri, Seyedeh Masoumeh Bagheri, Nasrin Jalali Heris, Parisa Matbouraftar, Mozhdeh Azarian, Seyedeh Maryam Mousavi
  • Year of Publication: 2024
  • Citations: 0

📄 Article: Evaluation of the psychometric indicators of the Comprehensive Autistic Trait Inventory in Iranian adults

  • Authors: Kordbagheri, M., Kordbagheri, A., Tayim, N., Davoudi, M.
  • Year of Publication: 2024
  • Citations: 2

📄 Article: Validation of the Short Dark Tetrad (SD4) in Persian: Assessment of Its Structure and Nomological Network

  • Authors: Qaderi Bagajan, K., Ziegler, M., Soleimani, M., Hoseini, S., Bagajan, H. Q.
  • Year of Publication: 2024
  • Citations: 1

📄 Article: The mediating role of rumination in the relationship between pathological personality traits and Self‐ and other‐blame among parents of children with autism spectrum disorder: Structural Equation Modeling (SEM)

  • Authors: Hashemi, H., Salekfard, S. V., Khodadadi, N., Nemati, F., Kordbagheri, M.
  • Year of Publication: 2023
  • Citations: 1

📄 Article: The relationship between perceived stress and pregnancy distress with self-care of pregnant women: The mediating role of social support—A cross-sectional study

  • Authors: Bahrami-Samani, S., Omidvar, S., Mohsenzadeh-Ledari, F., Ashrafpour, M., Kordbagheri, M.
  • Year of Publication: 2023
  • Citations: 0

 

 

 

Bin Hu | Medicine and Dentistry | Best Researcher Award

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

Hubei University of Technology | China

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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

Banafshe Felfeliyan | Health Professions | Best Researcher Award

Dr. Banafshe Felfeliyan | Health Professions | Best Researcher Award

University of Alberta | Canada

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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

 

 

 

Tomas Yeheyis Ferede | Nursing and Health Professions | Editorial Board Member

Mr. Tomas Yeheyis Ferede | Nursing and Health Professions | Editorial Board Member

Hawassa University | Ethiopia

Author Profile 

Orcid

Early Academic Pursuits

Tomas Yeheyis Ferede embarked on his academic journey with a Bachelor's degree in Nursing from Jimma University in 2010, showcasing his early dedication to healthcare. Subsequently, he pursued a Master's degree in Pediatrics Health Nursing at Addis Ababa University, where his commitment to the field earned him a remarkable grade of 96.5%. His Master's thesis, "Timely Initiation of Complementary Feeding and Associated Factors among Children Aged 6 to 12 Months in Addis Ababa Ethiopia, 2015," demonstrated his focus on vital healthcare issues.

Professional Endeavors

Tomas has been involved in various training programs, gaining expertise in hospital nursing care, sexually transmitted diseases, counseling, instructional skills, and language proficiency. He has consistently updated his knowledge through programs on data analysis tools, leadership, management, and immunization. His diverse training background reflects a commitment to continuous improvement and a holistic approach to healthcare.

Contributions and Research Focus

With over four years of experience in academia, Tomas's current role as Assistant Professor of Pediatrics and Child Health Nursing at Hawassa University exemplifies his dedication to education and research. He has contributed significantly to neonatal health, growth monitoring, feeding protocols, and systematic review methodologies. Tomas has also engaged in grant writing, reflecting a commitment to advancing research in his field.

Accolades and Recognition

Tomas's academic achievements, including high grades in his Master's program, showcase his commitment to excellence. His active participation in training programs, coupled with his contributions to neonatal health, has likely earned recognition within the academic and healthcare communities.

Impact and Influence

As an Assistant Professor, Tomas influences the next generation of healthcare professionals by imparting knowledge, mentoring students during clinical sessions, and supervising research projects. His multifaceted training, including leadership and management skills, positions him as a well-rounded educator contributing to the holistic development of his students.

Legacy and Future Contributions

Tomas's legacy lies in his dedication to advancing healthcare through education and research. His current role, coupled with continuous learning and engagement in diverse areas, sets the stage for impactful future contributions. Whether through mentoring, research, or grant proposals, Tomas is poised to leave a lasting mark on pediatric and child health nursing.

Notable Publications

Utilization of cervical cancer screening service among female health workforces in public health institutions in south east Ethiopia, a cross-sectional study 2024

Determinants of unmet physical and psychological supportive care needs among adult cancer patients in Southern Ethiopia 2023

The magnitude of precancerous cervical lesions and its associated factors among women screened for cervical cancer at a referral center in southern Ethiopia, 2021: a cross-sectional study 2023 (1)

 

 

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)