Meysam Salehi | Psychology | Best Researcher Award

Meysam Salehi | Psychology | Best Researcher Award

Mr Meysam Salehi, Iran university of medical sciences, Iran

Mr Meysam Salehi is a distinguished graduate from Iran University of Medical Sciences, holding a Master of Science in Mental Health, where she focused on domestic violence risk prediction using machine learning and social media analysis. She earned her bachelor’s degree in Psychology from Kharazmi University, graduating with honors. Mr Meysam Salehi is actively involved in research, having authored several publications on topics such as intimate partner violence and treatment-resistant obsessive-compulsive disorder. Her commitment to mental health research is complemented by her leadership roles in student organizations. 🌍📊💻

Publication profile

google scholar

Education

Dr. Azadeh Safadoust is a dedicated mental health professional with a Master of Science in Mental Health from the Tehran Psychiatric Institute (2020-2022), where she graduated with a remarkable GPA of 4.0 (19.59/20). Her thesis focused on predicting domestic violence risk in Iran using a machine learning approach, analyzing Persian textual content from social media. She actively contributed to the Student Research Committee and the Student Scientific Association of Mental Health, earning first place as a graduate student. Dr. Safadoust completed her Bachelor of Science in Psychology at Kharazmi University (2016-2020), graduating with a GPA of 3.7 (17.72/20). 📚💻💡

Awards

Mr Meysam Salehi is a distinguished mental health professional with significant academic achievements. In May 2024, she served as a reviewer for PLOS ONE, showcasing her expertise in the field. She earned her Master’s degree in mental health from Iran University of Medical Sciences (IUMS), graduating with a perfect GPA of 4.0 and receiving the Annual Educational Award in January 2021. Previously, she completed her studies at Kharazmi University with a GPA of 3.7. Mr Meysam Salehi ranked 90th in General Psychology and 120th in Clinical Psychology in the Ministry of Science entrance exam, and secured a position at the University of Tehran with a rank of 45th. 📚🏆

Project

Between November 2022 and April 2023, significant research was conducted at Iran University of Medical Sciences (IUMS) on domestic violence, including the classification of Persian textual content in social media using topic modeling and ensemble learning, alongside risk prediction through machine learning. A systematic review on technology-based interventions for intimate partner violence (IPV) was also undertaken from January to September 2023. Additionally, in 2020, the effectiveness of transcranial electrical brain stimulation for treating treatment-resistant obsessive-compulsive disorder was explored at the Convergent Technologies Research Center, University of Tehran. 📊💻❤️🔍

Research focus

Mr Meysam Salehi research primarily focuses on soil science, particularly the transport of solutes such as bromide and E. coli in various soil structures and under different agricultural practices. Her studies emphasize the effects of long-term cultivation on soil properties, including aggregate size and organic carbon fractionation. Mr Meysam Salehi investigates how temperature influences solute transport in saturated soils, contributing valuable insights into hydrology and environmental management. Her work is crucial for understanding soil health and its implications for sustainable agriculture. 🌱💧📊

Publication top notes

Domestic violence risk prediction in Iran using a machine learning approach by analyzing Persian textual content in social media

Classification of domestic violence Persian textual content in social media based on topic modeling and ensemble learning

 

Yong-Gwan Song | Psychology | Best Researcher Award

Yong-Gwan Song | Psychology | Best Researcher Award

Assoc Prof Dr Yong-Gwan Song, Pukyong National University, South Korea

Assoc. Prof. Dr. Yong-Gwan Song appears to be a strong candidate for the Best Researcher Award for several reasons:

Publication Profile

Google Scholar

Academic Background

Dr. Song holds a Ph.D. in Kinesiology from Korea University, complemented by a Master’s in Physical Education and a Bachelor’s degree. This robust educational foundation establishes his expertise in his field.

Post-Doctoral Experience

His post-doctoral research at Sungkyunkwan University further enhances his credentials, indicating a commitment to advancing knowledge through research.

Current Position

As an Assistant Professor in the Division of Smart Healthcare at Pukyong National University since 2018, he is involved in cutting-edge research and education, which contributes to the field of kinesiology and smart healthcare.

Research Focus

Dr. Song’s research topics—sport psychology, dance psychology, and motor control/learning—are highly relevant in today’s context of health and wellness. His diverse focus suggests a holistic approach to physical activity and mental well-being.

Impact on the Field

The integration of psychology with kinesiology and smart healthcare positions Dr. Song as a forward-thinking researcher who addresses contemporary issues in sports and health.

Publication Top Notes

A teacher-focused intervention to decrease PE students’ amotivation by increasing need satisfaction and decreasing need frustration

Expanding autonomy psychological need states from two (satisfaction, frustration) to three (dissatisfaction): A classroom-based intervention study.

Recommending goals and supporting needs: An intervention to help physical education teachers communicate their expectations while supporting students’ psychological needs

Dual processes to explain longitudinal gains in physical education students’ prosocial and antisocial behavior: Need satisfaction from autonomy support and need frustration …

Intervention-enabled autonomy-supportive teaching improves the PE classroom climate to reduce antisocial behavior

Effects of dance-based movement therapy on balance, gait, and psychological functions in severe cerebellar ataxia: A case study

A case study on curling stone and sweeping effect according to sweeping conditions

Conclusion

Dr. Yong-Gwan Song demonstrates significant potential to contribute valuable insights to the field, making him a suitable candidate for the Best Researcher Award.