Mr. Meysam Salehi | Psychology | Young Scientist Award
Mr. Meysam Salehi, Iran University of Medical Sciences, Iran
Meysam Salehi is a passionate and innovative researcher in the field of mental health and behavioral sciences. As a Graduated Research Assistant at the School of Mental Health and Behavioral Sciences, Iran University of Medical Sciences, Meysam has dedicated his academic career to exploring digital mental health, gamification, and violence prevention. He graduated with a Master of Science in Mental Health, specializing in domestic violence risk prediction through machine learning analysis of Persian social media content. Throughout his academic journey, Meysam has demonstrated exceptional leadership as a member of the Student Research Committee and the Student Scientific Association of Mental Health. His commitment to advancing mental health awareness extends beyond academia, co-founding Engarke, a Persian psychological website and podcast aimed at enhancing mental health literacy in Iran. Meysam’s work is marked by his dedication to leveraging technology and research to address pressing societal challenges and improve well-being within his community.
Professional Profile
Suitability for the Research for Young Scientist Award
Meysam Salehi is a promising and highly accomplished young researcher in the field of psychology and mental health, particularly focusing on digital mental health interventions, violence prevention, and cognitive psychology. His academic achievements demonstrate exceptional dedication, highlighted by his top-ranking graduation in the Master of Science program at Iran University of Medical Sciences. With a perfect GPA of 4.0 and a thesis on domestic violence risk prediction using machine learning, he has exhibited an ability to combine advanced technology with psychological research to address significant societal challenges.
Education
Meysam Salehi’s educational background exemplifies his commitment to mental health and research. He earned his Master of Science in Mental Health from Iran University of Medical Sciences, graduating in 2022 with a perfect GPA of 4. His thesis focused on predicting domestic violence risk in Iran using machine learning and Persian social media content analysis. Meysam actively contributed to academic initiatives, serving as a member of the Student Research Committee and the Student Scientific Association of Mental Health. He was recognized as the top graduate student and received various honors. Before his master’s degree, he completed a Bachelor of Science in Psychology at Kharazmi University in 2020, where he was awarded a scholarship and graduated with a GPA of 3.7. His academic foundation began at Farhang High School for Elites, where he received a Diploma of Higher Education in Human Sciences. Meysam’s educational path is marked by outstanding achievements and accolades.
Professional Experience
Meysam Salehi has a diverse professional background focused on enhancing mental health awareness and research. He co-founded Engarke, a Persian psychological website, in 2017. The platform promotes mental health literacy in Iran, covering a wide array of psychological topics. Meysam’s strategic content promotion efforts increased website traffic by 30%, and collaborations with professionals boosted user engagement. He also launched the Engarke podcast in 2019, where he led content development, narration, and outreach. His efforts resulted in a 40% increase in podcast subscriptions. As a Psychological YouTuber since 2021, he creates Persian content to spread mental health awareness in Iran. Additionally, Meysam served as a Research Assistant for Iran’s National Elites Foundation, contributing to a project on transcranial electrical brain stimulation for treatment-resistant OCD patients. His work emphasizes research-driven strategies, public engagement, and collaboration with mental health professionals to make meaningful impacts on Iranian society.
Awards and Recognition
Meysam Salehi has received numerous awards and recognitions for his academic excellence and contributions to mental health research. In 2023, he graduated with a perfect GPA of 4 from Iran University of Medical Sciences and secured first place in his Master’s program in Mental Health. His outstanding thesis on domestic violence risk prediction was highly praised. Meysam has been a proud associate of the Iran National Elites Foundation, where he worked on esteemed projects, including research on OCD. His academic achievements include a top rank of 90th in General Psychology and 120th in Clinical Psychology in the Ministry of Science entrance exam in 2020. Additionally, he ranked 45th in the University of Tehran’s master’s entrance exam. Meysam has also been an Annual Educational Award recipient and participated in the prestigious Second Fakhteh Poetry and Short Story Festival. His excellence extends to his role as a PLOS ONE reviewer, showcasing his academic influence.
Research Skills
Meysam Salehi’s research skills are deeply rooted in his expertise in digital mental health and cognitive psychology. He excels at leveraging technology-based interventions, including machine learning and topic modeling, to predict and analyze domestic violence patterns through Persian social media content. His skills encompass a comprehensive understanding of data analysis, risk assessment, and ensemble learning methods, which are pivotal in developing innovative solutions for violence prevention. Meysam’s research is driven by his fascination with gamification and its psychological impacts, utilizing interdisciplinary approaches to address mental health challenges. His proficiency extends to conducting systematic literature reviews, designing research methodologies, and interpreting complex data sets. Meysam is also skilled in collaborating with academic and professional teams, contributing to high-quality research outputs. His meticulous attention to detail, coupled with his creative problem-solving abilities, enables him to produce insightful research with practical applications. His work continues to inspire advancements in mental health research.
Publication Top Notes
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Title: Domestic violence risk prediction in Iran using a machine learning approach by analyzing Persian textual content in social media
Citations: 10Title: Classification of domestic violence Persian textual content in social media based on topic modeling and ensemble learning
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Title: Psychoanalytic study of the function of cinema with emphasis on the concept of the gaze in the thought of Jacques Lacan