Ali Esmaeilzadeh Pilehroud | Clinical Neuroscience | Neuroscience Academic Distinction Award

Dr. Ali Esmaeilzadeh Pilehroud | Clinical Neuroscience | Neuroscience Academic Distinction Award

Dr. Ali Esmaeilzadeh,  Pilehroud Allameh Tabataba’i University, Iran.

Ali Esmaeilzadeh Pilehroud is a distinguished teacher and university professor at Allameh Tabataba’i University in Tehran, specializing in psychology with a strong focus on neuroscience and child cognition. Holding a Ph.D. and an international certificate in psychotherapy for children, he has seamlessly blended academic excellence with practical expertise. His career is marked by significant research projects, multiple influential publications, and a commitment to nurturing future psychologists. His work consistently bridges scientific innovation with educational impact, earning him recognition both nationally and internationally.

Profile

Google Scholar

 

🎓 Early Academic Pursuits

Ali Esmaeilzadeh Pilehroud began his academic journey with a profound passion for understanding the human mind. He earned his Ph.D. in Psychology from the prestigious Allameh Tabataba’i University in Tehran, where his research laid a strong foundation for his future contributions to the fields of psychology and psychotherapy. Additionally, he obtained an international certificate specializing in psychology and psychotherapy for children, reflecting his early commitment to focusing on child development and mental health.

🏛️ Professional Endeavors

Following his academic accomplishments, Ali Esmaeilzadeh Pilehroud embarked on a dual career as a teacher and a university professor at Allameh Tabataba’i University, one of Iran’s leading institutions. His role bridges both education and mentorship, allowing him to mold the minds of future psychologists. His deep involvement in both theoretical and practical aspects of psychology demonstrates his dedication to merging academic excellence with real-world application.

🧠 Contributions and Research Focus

Ali Esmaeilzadeh Pilehroud’s research primarily revolves around neuroscience and child cognition, highlighting his interest in the biological and psychological foundations of development. He has successfully completed two major research projects exploring these domains, contributing valuable insights to the scientific community. His work emphasizes understanding how early neural and cognitive development can be supported through targeted psychological interventions, particularly benefiting children’s growth and mental wellness.

📚 Books and Publications

A testament to his scholarly dedication, Ali Esmaeilzadeh Pilehroud has authored five volumes of academic and professional books, each carrying its own ISBN. These publications enrich the fields of psychology and child development, providing important resources for both students and practicing professionals. His writings are characterized by their accessibility and depth, offering readers a thorough understanding of complex psychological concepts.

🏆 Accolades and Recognition

Throughout his career, Ali Esmaeilzadeh Pilehroud has earned recognition for his contributions to academia and child psychology. His research works have been cited by peers, showcasing their influence and relevance. Additionally, his international certification in psychotherapy further underscores his standing in the global psychology community, distinguishing him as a leader in child-focused psychological practices.

🌍 Impact and Influence

Ali Esmaeilzadeh Pilehroud’s influence extends beyond the classroom and research labs. By integrating neuroscience with child psychology, he has advanced new methods for fostering cognitive development in children. His approach encourages educational reforms and therapeutic practices that are informed by scientific research, ultimately benefiting countless young lives and shaping a more scientifically informed society.

✨ Legacy and Future Contributions

Looking to the future, Ali Esmaeilzadeh Pilehroud remains committed to expanding his research and educational impact. His legacy is built upon a solid foundation of scientific inquiry, educational mentorship, and contributions to child psychotherapy. With plans to pursue further innovative projects, he aims to continue inspiring the next generation of psychologists while deepening the global understanding of child cognition and development.

Publication

  • Title: Lack of association between interleukin-10 gene promoter polymorphisms with HIV susceptibility and progression to AIDS
    Authors: A. Ramezani, E. Kalantar, A. Aghakhani, M. Banifazl, M. Foroughi, et al.
    Year: 2015

 

  • Title: Evaluation of acquired HIV drug resistance among people living with HIV who have taken antiretroviral therapy for 9–15 months in 14 triangular clinics in Iran, 2015–2016
    Authors: M. Mohraz, K. Tayeri, H. Namdari Tabar, Z. Bayat Jozani, L. Sadeghi, et al.
    Year: 2019

 

  • Title: Different Degrees of Immune Recovery Using Antiretroviral Regimens with Vonavir or Zidovudine/Lamivudine/Efavirenz in HIV-Positive Patients Receiving First Line Treatment in Iran
    Authors: L. Sadeghi, S. Moallemi, R.A. Tabatabai, A. Esmaeilzadeh, S. Ahsani-Nasab, et al.
    Year: 2018

 

  • Title: Enhanced immune responses against HIV-1 with Adenovector (gag and tat) prime/protein boost regimen and GM-CSF injection
    Authors: N.H. Rouzbahani, S. Bayanolhagh, M. Gholami, A. Esmaeilzadeh, Z.B. Jozani, et al.
    Year: 2016

 

  • Title: Comparing Theory of Mind and Executive Functions in Obsessive Compulsive Disorder, Schizophrenia, and Normal Individuals
    Authors: نیکجو وکیل آباد, اسمعیل زاده پیله رود (Nikjoo Vakilabad, Esmaeilzadeh Pilerood)
    Year: (Not clear—year not given, but possibly recent.)

 

🖋️ Conclusion

Through a lifelong dedication to psychology, research, and teaching, Ali Esmaeilzadeh Pilehroud has made lasting contributions to child development studies and cognitive neuroscience. His legacy is not only evident in his scholarly books and research projects but also in the lives of the students and professionals he has mentored. Looking ahead, he continues to inspire and innovate, shaping the future of psychological science and fostering better mental health outcomes for children worldwide.

Samira Jafari | Brain Mapping | Best Researcher Award

Dr. Samira Jafari | Brain Mapping | Best Researcher Award

Dr Samira Jafari, Kerman university of medical sciences, Iran.

Dr. Samira Jafari, a distinguished Ph.D. in Biostatistics at Kerman University of Medical Sciences, is a leading researcher in biostatistics, machine learning methods, and meta-analysis. With 11 research projects and 11 journal publications in SCI and Scopus-indexed journals, she has made significant contributions to healthcare research, focusing on data-driven solutions. Her work in integrating machine learning with biostatistical models aims to enhance health data analysis, with the potential for improving disease prediction, public health policies, and medical practices.

Profile

Scholar

Early Academic Pursuits: The Foundation of Expertise 📚

Dr. Jafari’s academic journey began with a strong foundation in biostatistics, where she honed her analytical skills and developed a passion for understanding the intricacies of data. During her studies, she was captivated by the potential of machine learning to transform data analysis in healthcare, laying the groundwork for her future endeavors. Her early academic pursuits focused on mastering statistical models and computational techniques, which would become the bedrock of her later research.

Professional Endeavors: Shaping Research Landscape 🧑‍🔬

Since completing her Ph.D., Dr. Jafari has become a key figure in advancing biostatistics research, particularly through her exploration of machine learning applications. At Kerman University of Medical Sciences, she has led numerous research projects, with a total of 11 completed and ongoing studies. Her expertise has contributed to groundbreaking work in applying biostatistics and machine learning methods to analyze large-scale healthcare data. Dr. Jafari’s research provides essential insights that enhance the understanding of disease patterns and contribute to better health outcomes.

Contributions and Research Focus: Bridging Knowledge and Practice 🧠

Dr. Jafari’s research contributions are particularly notable in the integration of machine learning algorithms with biostatistics to improve health data interpretation. Her work includes innovative meta-analytic methods to synthesize complex data and uncover underlying patterns that inform healthcare practices. By combining machine learning with statistical models, she has been able to provide robust solutions for various medical and epidemiological studies. With 11 journal publications in top-tier journals like SCI and Scopus, her research has had a significant impact on advancing statistical methods in biostatistics.

Accolades and Recognition: Scholarly Achievements 🏆

Dr. Jafari’s scholarly achievements have not gone unnoticed. Her work has earned recognition through a citation index of 2, reflecting her contributions to the academic community. Despite the limited citations, her research is highly regarded for its innovative approach to statistical modeling and its potential applications in the field of biostatistics. She has made a lasting impression through her academic rigor, innovative methods, and dedication to enhancing the quality of healthcare research.

Impact and Influence: Leading the Way in Quantitative Healthcare Research 🌍

Dr. Jafari’s work in biostatistics and machine learning has influenced both academic research and practical applications in healthcare. Her innovative approaches to analyzing and interpreting health data have the potential to change how public health research is conducted, improving the accuracy and efficacy of healthcare models. The widespread application of her research is likely to influence future healthcare policy and contribute to the development of more precise, data-driven medical treatments.

Legacy and Future Contributions: A Path to Continued Innovation 🔮

Dr. Jafari’s research journey is far from over. With numerous ongoing projects, she is poised to continue contributing to the field of biostatistics, machine learning, and meta-analysis. As a dedicated researcher, her future work promises to explore new frontiers in data analysis, helping to bridge the gap between complex statistical methods and practical healthcare applications. Dr. Jafari’s contributions will undoubtedly have a lasting impact on the way we analyze medical data, shaping the future of healthcare and biostatistics for years to come.

📚 Publications

  • Title: The best drug supplement for obesity treatment: a systematic review and network meta-analysis
    Authors: N Salari, S Jafari, N Darvishi, E Valipour, M Mohammadi, K Mansouri, …
    Year: 2021

 

  • Title: Classifying patients with lumbar disc herniation and exploring the most effective risk factors for this disease
    Authors: S Jafari, T Dehesh, F Iranmanesh
    Year: 2019

 

  • Title: Diagnosis of borderline personality disorder based on Cyberball social exclusion task and resting-state fMRI: using machine learning approach as an auxiliary tool
    Authors: S Jafari, A Almasi, H Sharini, S Heydari, N Salari
    Year: 2023

 

  • Title: The best surgical treatment for cervical radiculopathy: a systematic review and network meta-analysis
    Authors: A Almasi, S Jafari, L Solouki, N Darvishi
    Year: 2023

 

  • Title: Radiomics-based machine learning for automated detection of Pneumothorax in CT scans
    Authors: H Alimiri Dehbaghi, K Khoshgard, H Sharini, S Jafari Khairabadi, …
    Year: 2024

 

  • Title: Diagnosis of traumatic liver injury on computed tomography using machine learning algorithms and radiomics features: The role of artificial intelligence for rapid diagnosis in …
    Authors: HA Dehbaghi, K Khoshgard, H Sharini, SJ Khairabadi
    Year: 2024

 

  • Title: A assessment of the effects of parental age on the development of autism in children: a systematic review and a meta-analysis
    Authors: T Dehesh, MA Mosleh-Shirazi, S Jafari, E Abolhadi, P Dehesh
    Year: 2024

 

Conclusion

Dr. Samira Jafari stands as a trailblazer in the field of biostatistics and machine learning, making invaluable contributions to healthcare research. Through her innovative integration of machine learning with biostatistical models, she has advanced our understanding of complex health data, paving the way for more accurate predictions and improved healthcare outcomes. With her extensive research experience and a clear commitment to bridging data analysis with real-world medical applications, Dr. Jafari is set to leave a lasting legacy in both academic and healthcare sectors.