Victor R.L. Shen | Computer Science | Best Researcher Award

Prof. Dr. Victor R.L. Shen | Computer Science | Best Researcher Award

National Taipei University | Taiwan

Prof. Dr. Victor R. L. Shen is a highly accomplished scholar and Professor Emeritus in the Department of Computer Science and Information Engineering at National Taipei University, Taiwan. With an extensive academic background, including a Ph.D. in Computer Science from National Taiwan University, he has dedicated decades to advancing research and education in artificial intelligence, Petri net theory, fuzzy logic, cryptography, e-learning systems, IoT, and intelligent computing. Over his distinguished career, he has published 78 documents that collectively received 840 citations across 696 sources, earning him an h-index of 15, reflecting both the depth and impact of his contributions. Beyond his prolific research, Prof. Shen has held prominent academic leadership positions, including Dean, Chairman, and CEO roles at National Taipei University and Ming Chi University of Technology, shaping academic programs and fostering innovation. His global recognition includes visiting professorships, membership in leading professional organizations such as IEEE, ACM, and IET, and numerous prestigious awards for teaching, research, and innovation. With sustained contributions in smart systems, advanced computing, and AI-driven education, Prof. Shen continues to influence the global academic community, leaving a legacy of excellence in both research and pedagogy.

Profiles : Scopus | Orcid

Featured Publications

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Shen, F. H. C., & Lin, Y.-C. (2025). Petri net modeling and analysis of an IoT-enabled system for real-time monitoring of eggplants. Systems Engineering.

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Shen, F. H. C., & Jheng, W.-S. (2025). A novel IoT-enabled system for real-time monitoring home appliances using Petri nets. IEEE Canadian Journal of Electrical and Computer Engineering.

Chang, J.-C., Chen, S.-A., & Shen, V. R. L. (2024). Smart bird identification system based on a hybrid approach: Petri nets, convolutional neural and deep residual networks. Multimedia Tools and Applications, 83(12), 34795–34823.

Yang, C.-Y., Lin, Y.-N., Shen, V. R. L., Tung, Y.-C., & Lin, J.-F. (2024). A novel IoT-enabled system for real-time face mask recognition based on Petri nets. IEEE Internet of Things Journal, 11(4), 6992–7001.

Yang, C.-Y., Lin, Y.-N., Wang, S.-K., Shen, V. R. L., & Lin, Y.-C. (2024). An edge computing system for fast image recognition based on convolutional neural network and Petri net model. Multimedia Tools and Applications, 83(5), 12849–12873.

Yang, C.-Y., Hwang, M.-S., Tseng, Y.-W., Yang, C.-C., & Shen, V. R. L. (2024). Advancing financial forecasts: Stock price prediction based on time series and machine learning techniques. Applied Artificial Intelligence, 38(1), 1–24.

Lin, Y.-N., Wang, S.-K., Chiou, G.-J., Yang, C.-Y., Shen, V. R. L., & Su, Z. Y. (2023). Development and verification of an IoT-enabled air quality monitoring system based on Petri nets. Wireless Personal Communications, 131(1), 63–87.*

 

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