Mohammadreza Kordbagheri | Psychology | Best Researcher Award

Dr. Mohammadreza Kordbagheri | Psychology | Best Researcher Award

Shahid Beheshti University | Iran

Author Profile

Scopus

Orcid

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

 

 

 

Hongwei Wang | Computer Science | Best Researcher Award

Mr. Hongwei Wang | Computer Science | Best Researcher Award

North Minzu University | China

Author Profile

Scopus

Early Academic Pursuits

Mr. Hongwei Wang embarked on his academic journey with a Bachelor's degree in Computer Science and Technology from Harbin Institute of Information Engineering. He excelled in courses like Software Engineering, Operating System, and Internet Programming. Later, he pursued a Master's degree in Computer Technology at North Minzu University, focusing on Pattern Recognition, Semantic Network, and Knowledge Graph.

Professional Endeavors

Hongwei Wang's professional endeavors are centered around medical image processing and object detection. His research has led to the development of innovative models such as M3YOLOv5 for mandibular fracture detection and CCGL-YOLOV5 for lung tumor detection, published in reputable journals like Computers in Biology and Medicine.

Contributions and Research Focus

Wang's primary research focus lies in medical image processing, particularly in the realm of object detection. His work addresses critical issues in healthcare by enhancing the accuracy and efficiency of diagnostic processes through advanced technological solutions.

Accolades and Recognition

Wang's academic achievements have been recognized through various scholarships, including postgraduate school first and second-class scholarships. He has also received accolades such as the "Learning Star" award during his undergraduate studies and has actively participated in prestigious competitions like the National Postgraduate Mathematical Modeling Competition.

Impact and Influence

Through his research and academic excellence, Wang has made a significant impact on the field of medical image processing. His contributions have the potential to revolutionize diagnostic procedures, leading to improved patient outcomes and enhanced healthcare delivery.

Legacy and Future Contributions

Mr. Hongwei Wang's legacy lies in his dedication to advancing medical image processing technology for the betterment of healthcare. His future contributions are expected to further push the boundaries of object detection algorithms, paving the way for more accurate and efficient diagnostic tools. With a strong foundation in computer science and a passion for innovation, Wang is poised to continue making substantial contributions to the field.

Notable Publications

M3YOLOv5: Feature enhanced YOLOv5 model for mandibular fracture detection 2024

CCGL-YOLOV5:A cross-modal cross-scale global-local attention YOLOV5 lung tumor detection model 2023 (3)