Musawer Hakimi | Systems Neuroscience | Best Researcher Award

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Mr. Musawer Hakimi | Systems Neuroscience | Best Researcher Award

Mr. Musawer Hakimi | Samangan University | Afghanistan

Mr. Musawer Hakimi is an accomplished Assistant Professor at Samangan University, specializing in Computer Science. He holds a Bachelor’s degree in Computer Science from India and a Master’s degree in Information Technology from Kabul University. Demonstrating a strong commitment to lifelong learning, he has earned 25 professional certificates in Computer Science from India, along with two specialized certifications in Ethical Hacking and Oracle Database from the United States. His academic excellence and research contributions have positioned him as a respected scholar with 3 published documents, 13 citations, and an h-index of 1. Mr. Hakimi’s scholarly work has been featured in reputable international journals across the United Kingdom, the United States, Turkey, Sweden, and Indonesia, reflecting his active engagement in global research networks. Beyond his research achievements, he is dedicated to nurturing future computer scientists through his teaching and mentorship at the Public University of Afghanistan, where he plays an instrumental role in advancing computer science education. His interdisciplinary expertise, international collaborations, and consistent scholarly output underscore his impact as an educator, researcher, and thought leader in the evolving field of computer science, contributing to the growth of academic excellence and innovation within Afghanistan and the broader global academic community.

Profiles: Scopus | Orcid | Google Scholar | Research Gate

Featured Publications

Quraishi, T., Ulusi, H., Muhid, A., Hakimi, M., & Olusi, M. R. (2024). Empowering students through digital literacy: A case study of successful integration in a higher education curriculum. Journal of Digital Learning and Distance Education, 2(9), 667–681.

Fazil, A. W., Hakimi, M., Shahidzay, A. K., & Hasas, A. (2024). Exploring the broad impact of AI technologies on student engagement and academic performance in university settings in Afghanistan. RIGGS: Journal of Artificial Intelligence and Digital Business, 2(2), 56–63.

Hakimi, M., Katebzadah, S., & Fazil, A. W. (2024). Comprehensive insights into e-learning in contemporary education: Analyzing trends, challenges, and best practices. Journal of Education and Teaching Learning (JETL), 6(1), 86–105.

Hakimi, N., Hakimi, M., Hejran, M., Quraishi, T., Qasemi, P., Ahmadi, L., & others. (2024). Challenges and opportunities of e-learning for women’s education in developing countries: Insights from Women Online University. EDUTREND: Journal of Emerging Issues and Trends in Education, 1(1), 57–69.

Hasas, A., Hakimi, M., Shahidzay, A. K., & Fazil, A. W. (2024). AI for social good: Leveraging artificial intelligence for community development. Journal of Community Service and Society Empowerment, 2(2), 196–210.

Fazil, A. W., Hakimi, M., Sajid, S., Quchi, M. M., & Khaliqyar, K. Q. (2023). Enhancing internet safety and cybersecurity awareness among secondary and high school students in Afghanistan: A case study of Badakhshan Province. American Journal of Education and Technology, 2(4), 50–61.

Alam, M. I., Khatri, S., Shukla, D. K., Misra, N. K., Satpathy, S., & Hakimi, M. (2025). Blockchain-based coal supply chain management system for thermal power plants. Discover Computing, 28(1), 1–32.

Aiying Zhang | Computational Neuroscience | Best Researcher Award

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Assist. Prof. Dr. Aiying Zhang | Computational Neuroscience | Best Researcher Award

Assist. Prof. Dr. Aiying Zhang, University of Virginia, United States.

Dr. Aiying Zhang is a rising scholar in the field of mental health data science, currently serving as an Assistant Professor at the University of Virginia and a Faculty Member at the UVA Brain Institute. Her academic foundation spans statistics, biomedical engineering, and clinical biostatistics, acquired from esteemed institutions including USTC, Tulane University, and Columbia University. Her research focuses on developing advanced computational and statistical tools—such as graphical models and multimodal fusion—to decode complex brain data from imaging and genetics. She applies these innovations to better understand and predict psychiatric conditions such as schizophrenia and Alzheimer’s disease. Her work is distinguished by its interdisciplinary nature, translational relevance, and potential to reshape clinical approaches to mental health.

Profile

Google Scholar

 

🎓 Early Academic Pursuits

Aiying Zhang’s journey into the realm of data science and mental health research began with a strong foundation in quantitative sciences. She earned her Bachelor of Science degree in Statistics from the prestigious School for the Gifted Young at the University of Science and Technology of China (USTC) in 2014. Driven by a passion for biomedical innovation and its intersection with human health, she pursued a Ph.D. in Biomedical Engineering from Tulane University, which she completed in 2021. Her graduate years were marked by deep inquiry into statistical modeling and neuroimaging, laying the groundwork for her later interdisciplinary research. She further honed her expertise through postdoctoral training in Clinical Biostatistics and Psychiatry at Columbia University Irving Medical Center, where she blended statistical rigor with clinical insight.

💼 Professional Endeavors

Dr. Zhang is currently an Assistant Professor of Data Science at the University of Virginia, where she has been on the tenure-track faculty since August 2023. She also holds a concurrent position as a Faculty Member at the UVA Brain Institute, underscoring her active role in advancing brain research across institutional boundaries. Prior to her academic appointment at UVA, she served as a Research Scientist II at the New York State Psychiatric Institute, contributing to high-impact psychiatric research. Her professional journey also includes research assistantships at Tulane University and the University of Florida, roles in which she cultivated strong collaborative and translational research skills.

🧠 Contributions and Research Focus

Dr. Zhang’s research lies at the intersection of data science, neuroscience, and mental health. She specializes in developing advanced statistical and computational methodologies to investigate the biological underpinnings of psychiatric and neurodevelopmental disorders. Her work prominently features the use of graphical models—both directed and undirected—and machine learning techniques to analyze complex datasets, such as MRI, DTI, fMRI, MEG, and various genomic modalities including SNP and DNA methylation. Her research has contributed to a deeper understanding of conditions like schizophrenia, Alzheimer’s disease, obsessive-compulsive disorder, and anxiety disorders, through the lens of multimodal data fusion and integrative neurogenetics.

🧪 Innovation in Mental Health Data Science

A distinctive hallmark of Dr. Zhang’s scholarship is her innovative application of multimodal fusion techniques to disentangle the complexities of typical and atypical brain development. Her work leverages high-dimensional neuroimaging and genetic data to draw meaningful inferences about mental health trajectories. She is particularly focused on building interpretable models that bridge the gap between data and clinical insight, thereby enabling earlier and more precise diagnostics. By combining machine learning with biomedical expertise, her contributions pave the way for next-generation tools in psychiatry and neuroscience.

🏅 Accolades and Recognition

Throughout her academic and professional trajectory, Dr. Zhang has earned widespread respect for her analytical acumen and interdisciplinary collaborations. Her postdoctoral role at Columbia, a hub for clinical psychiatry and biostatistics, positioned her among leaders in the field and enriched her research portfolio with translational applications. Her selection as faculty at a leading institution like UVA further reflects recognition of her scholarly excellence and her potential to drive future innovations in mental health data science.

🌍 Impact and Influence

Dr. Zhang’s work has significant implications for both the scientific community and clinical practice. Her methods empower researchers and clinicians alike to draw meaningful patterns from multimodal datasets, thereby advancing precision psychiatry. Moreover, her collaborative efforts across biomedical engineering, statistics, and clinical disciplines have fostered integrative frameworks that extend beyond academic settings into real-world applications. Her contributions are helping to shape a more data-driven and personalized future in mental health care.

🔮 Legacy and Future Contributions

As she continues her academic journey, Dr. Zhang aims to expand her research frontiers by exploring dynamic brain-behavior associations and improving the interpretability of AI models in clinical contexts. With a commitment to mentorship and open science, she is building a legacy rooted in intellectual rigor, innovation, and societal relevance. Her future contributions are expected to not only deepen our understanding of mental health disorders but also inspire a new generation of data scientists dedicated to neuroscience and human well-being.

Publication

  • Leverage multimodal neuro-imaging and genetics to identify causal relationship between structural and functional connectivity and ADHD with Mendelian randomization
    C Ji, S Lee, S Sequeira, J Jin, A Zhang — 2025

 

  • Integrated brain connectivity analysis with fmri, dti, and smri powered by interpretable graph neural networks
    G Qu, Z Zhou, VD Calhoun, A Zhang, YP Wang — 2025

 

  • Altered hierarchical rank in intrinsic neural time-scales in autism spectrum disorder
    A Solomon, W Yu, J Rasero, A Zhang — 2025

 

  • A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
    Y Zhang, L Wang, KJ Su, A Zhang, H Zhu, X Liu, H Shen, VD Calhoun, … — 2025

 

  • A Novel GNN Framework Integrating Neuroimaging and Behavioral Information to Understand Adolescent Psychiatric Disorders
    W Yu, G Qu, Y Kim, L Xu, A Zhang — 2025

 

  • A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence
    A Zhang, G Zhang, B Cai, TW Wilson, JM Stephen, VD Calhoun, YP Wang — 2024

 

  • Exploring hierarchical gradients of intrinsic neural timescales in mild cognitive impairment and Alzheimer’s disease
    A Zhang, K Wengler, X Zhu, G Horga, TE Goldberg, S Lee — 2024

 

  • Time‐varying dynamic Bayesian network learning for an fMRI study of emotion processing
    L Sun, A Zhang, F Liang — 2024

 

  • Altered hierarchical gradients of intrinsic neural timescales in mild cognitive impairment and Alzheimer’s disease
    A Zhang, K Wengler, X Zhu, G Horga, TE Goldberg, S Lee, … — 2024

 

  • Associations Between Brain Connectivity and Psychiatric Symptoms in Children: Insights into Adolescent Mental Health
    D Mutu, K Ji, X He, S Lee, S Sequeira, A Zhang — 2024

 

🧾 Conclusion

Dr. Zhang’s journey exemplifies a seamless integration of data science and neuroscience to address pressing mental health challenges. Her innovative use of multimodal data and machine learning not only contributes to scientific advancement but also enhances real-world clinical decision-making. As she continues to pioneer research at the intersection of computation and psychiatry, her influence is poised to grow, shaping the future of precision mental health care and empowering both academia and clinical practice through data-driven insights.

 

Jin Yong Hong | Behavioral Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Jin Yong Hong | Behavioral Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Jin Yong Hong,  Yonsei University Wonju College of Medicine,  South Korea.

Dr. Jin Yong Hong, MD, PhD, is a distinguished neurologist and academic leader with a career grounded in excellence, innovation, and service. Beginning his medical education at Yonsei University, he steadily advanced through rigorous academic and clinical pathways to become an Associate Professor at Yonsei University Wonju College of Medicine. His focused expertise in movement disorders and dementia, enriched by both national and international research experience, especially at the University of Pennsylvania, highlights his dedication to solving complex neurological diseases. Through teaching, research, and clinical practice, he has significantly contributed to the growth of neuroscience and medical education in South Korea.

 

Profile

Google Scholar

Orcid

 

🎓 Early Academic Pursuits

Dr. Jin Yong Hong embarked on his journey in medicine with a deep commitment to academic excellence, beginning with his premedical studies at Yonsei University in Seoul from 2001 to 2003. He swiftly advanced through the rigorous medical curriculum, earning a Bachelor of Medical Science in 2007. Not content with just clinical practice, he pursued higher education with a Master of Medical Science completed in 2014 and culminated his scholarly journey with a Doctorate in Medical Science from the same esteemed institution in 2021. His academic path reflects a relentless pursuit of knowledge in the neurological sciences and a strong foundation in research methodology and clinical application.

🧠 Professional Endeavors in Neurology

Following his graduation, Dr. Hong immersed himself in hands-on clinical training, beginning with an internship and residency in Neurology at the renowned Severance Hospital of the Yonsei University Health System. This period, from 2007 to 2012, was marked by rigorous clinical immersion and specialization. His passion for neuroscience led him to pursue subspecialty training in Movement Disorders and Dementia, completing both clinical and research fellowships. Notably, he expanded his research exposure internationally through a postdoctoral fellowship at the University of Pennsylvania in the United States from 2022 to 2024, further enriching his expertise in neurodegenerative pathology and laboratory medicine.

🔬 Contributions and Research Focus

Dr. Hong’s research has consistently revolved around movement disorders and dementia, placing him at the forefront of understanding neurodegenerative diseases. His clinical experience, paired with extensive research work in both Korea and the United States, underscores his commitment to unraveling the complexities of disorders like Parkinson’s disease, Alzheimer’s disease, and related cognitive impairments. His interdisciplinary approach bridges clinical neurology with translational science, contributing significantly to advancing diagnostic and therapeutic strategies in the field.

🏥 Academic Leadership and Teaching

As an Associate Professor at the Department of Neurology, Yonsei University Wonju College of Medicine, Dr. Hong plays a vital role in shaping the next generation of neurologists. Since 2016, he has not only led clinical initiatives but also mentored students and junior faculty. His previous tenure as a Clinical Assistant Professor from 2014 to 2016 helped lay the groundwork for a collaborative and research-driven academic environment at the Wonju Severance Christian Hospital. His academic roles have helped blend clinical excellence with cutting-edge research in one of Korea’s premier medical institutions.

🏅 Accolades and Recognition

Dr. Hong’s excellence has been consistently recognized by peers and institutions alike. In 2014, he received the Academic Award for Highest Achievement from Yonsei University College of Medicine, marking him as a top-tier scholar among his peers. The same year, he was awarded a Fellowship by the Korean Movement Disorder Society, acknowledging his promising contributions to the field. Further cementing his role as a leading voice in neurological research, he was honored in 2021 with the JMD Article Award, reflecting the impact and relevance of his scholarly publications.

🌍 Impact and Influence in Neurological Science

With active memberships in the Korean Neurological Association, the Korean Movement Disorder Society, and the Korean Dementia Association, Dr. Hong maintains an influential presence within the scientific community. His cross-continental experience, especially through his postdoctoral work in the United States, has positioned him as a bridge between Eastern and Western neurological research paradigms. His publications and ongoing collaborations continue to influence both clinical practice and academic discourse, especially in the diagnosis and management of neurodegenerative conditions.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Jin Yong Hong is poised to continue making groundbreaking contributions in the field of neurology. With a career marked by academic distinction, clinical expertise, and research innovation, he represents a model of holistic excellence in medicine. His future work is likely to delve deeper into translational neuroscience, aiming to develop practical solutions for patients suffering from movement and cognitive disorders. As a mentor, researcher, and clinician, Dr. Hong is building a legacy that will inspire and influence the medical community for years to come.

Publication

  • Neuroanatomical substrates of visual hallucinations in patients with non-demented Parkinson’s disease
    S Shin, JE Lee, JY Hong, MK Sunwoo, YH Sohn, PH Lee
    2012

 

  • Presynaptic dopamine depletion predicts levodopa-induced dyskinesia in de novo Parkinson disease
    JY Hong, JS Oh, I Lee, MK Sunwoo, JH Ham, JE Lee, YH Sohn, JS Kim, …
    2014

 

  • The MMSE and MoCA for screening cognitive impairment in less educated patients with Parkinson’s disease
    JI Kim, MK Sunwoo, YH Sohn, PH Lee, JY Hong
    2016

 

  • The burden of white matter hyperintensities is a predictor of progressive mild cognitive impairment in patients with Parkinson’s disease
    MK Sunwoo, S Jeon, JH Ham, JY Hong, JE Lee, JM Lee, YH Sohn, …
    2014

 

  • Cerebral microbleeds in patients with Parkinson’s disease
    JH Ham, H Yi, MK Sunwoo, JY Hong, YH Sohn, PH Lee
    2014

 

  • Subjective cognitive decline predicts future deterioration in cognitively normal patients with Parkinson’s disease
    JY Hong, MK Sunwoo, SJ Chung, JH Ham, JE Lee, YH Sohn, PH Lee
    2014

 

  • Clinical and biomarker characteristics according to clinical spectrum of Alzheimer’s disease (AD) in the validation cohort of Korean Brain Aging Study for the Early Diagnosis …
    J Hwang, JH Jeong, SJ Yoon, KW Park, EJ Kim, B Yoon, JW Jang, HJ Kim, …
    2019

 

  • Subjective cognitive complaints and objective cognitive impairment in Parkinson’s disease
    JY Hong, Y Lee, MK Sunwoo, YH Sohn, PH Lee
    2018

 

  • Neurocognitive and atrophic patterns in Parkinson’s disease based on subjective memory complaints
    JY Hong, JE Lee, YH Sohn, PH Lee
    2012

 

  • Telomere shortening reflecting physical aging is associated with cognitive decline and dementia conversion in mild cognitive impairment due to Alzheimer’s disease
    SH Koh, SH Choi, JH Jeong, JW Jang, KW Park, EJ Kim, HJ Kim, JY Hong, …
    2020

 

🧾 Conclusion

Dr. Hong’s journey illustrates the profound impact one dedicated individual can make within the scientific and medical communities. His legacy is already evident in his scholarly achievements, the students he mentors, and the patients he serves. As he continues to advance the understanding and treatment of neurological conditions, Dr. Hong remains a beacon of academic integrity, scientific rigor, and compassionate care. His future promises continued breakthroughs that will shape the field of neurology and bring hope to countless lives affected by neurodegenerative disorders.

Rasoul Sabetahd | Systems Neuroscience | Best Researcher Award

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Dr. Rasoul Sabetahd | Systems Neuroscience | Best Researcher Award

Dr. Rasoul Sabetahd, Islamic Azad University, Iran.

Dr. Rasoul Sabetahd, a distinguished civil engineer and academic, has dedicated his career to advancing the field of civil engineering through teaching, research, and practical contributions. As a faculty member at the Department of Civil Engineering, Sofian Branch, Islamic Azad University, Iran, he has played a transformative role in fostering innovation, mentoring future engineers, and addressing the pressing challenges of modern infrastructure. His work, rooted in sustainability and resilience, has left a profound impact on academia and the engineering industry alike.

 

profile

Orcid

🌱 Early Academic Pursuits

Dr. Rasoul Sabetahd embarked on his academic journey with an enduring passion for civil engineering. He pursued his foundational studies in this field, demonstrating exceptional aptitude and dedication. His formative years were marked by a deep curiosity about structural systems and an eagerness to contribute to the advancement of infrastructure development. These early academic experiences laid the groundwork for his future scholarly achievements.

🏗️ Professional Endeavors

As a prominent member of the Department of Civil Engineering at the Sofian Branch of Islamic Azad University, Iran, Dr. Sabetahd has played a pivotal role in shaping the academic and professional landscape of civil engineering. His career is characterized by a commitment to teaching, mentoring, and equipping students with the practical and theoretical knowledge necessary for addressing modern engineering challenges. He has also collaborated with industry professionals to bridge the gap between academia and practical applications.

📚 Contributions and Research Focus

Dr. Sabetahd’s research has focused on groundbreaking advancements in civil engineering, including sustainable construction techniques, innovative materials, and structural resilience. Through meticulous studies and publications, he has enriched the academic discourse in civil engineering, providing valuable insights that have been widely acknowledged by peers. His work is deeply rooted in addressing contemporary engineering challenges, contributing significantly to the betterment of urban development and infrastructure planning.

🏆 Accolades and Recognition

Dr. Sabetahd’s dedication and expertise have earned him numerous accolades in the field of civil engineering. His research contributions and commitment to education have been recognized at national and international levels, bringing prestige to his institution and inspiring his colleagues and students. These honors reflect his influence as a leader in his domain.

🌍 Impact and Influence

The impact of Dr. Sabetahd’s work extends far beyond academia. His innovations and methodologies have been adopted in various real-world projects, demonstrating their practical value. As a mentor and educator, he has shaped the careers of countless students who now contribute to the field globally. His ability to blend research with practical applications has solidified his reputation as a transformative figure in civil engineering.

🔗 Legacy and Future Contributions

Dr. Sabetahd’s legacy is defined by his unwavering dedication to advancing civil engineering. Looking ahead, he aims to continue contributing to the field through innovative research, fostering new talent, and promoting sustainable engineering practices. His vision for the future involves not only addressing current challenges but also anticipating the needs of future generations.This biography celebrates the remarkable journey of Dr. Rasoul Sabetahd, highlighting his contributions and the lasting impact he has made in civil engineering.

📚 Publications

  1. Development of an Adaptive Chaotic Fuzzy Neural Network Controller for Mitigating Seismic Response in a Structure Equipped with an Active Tuned Mass Damper
    • Authors: Rasoul Sabetahd, Ommegolsoum Jafarzadeh
    • Year: 2025

 

  1. A Multiple Model Type-3 Fuzzy Control for Offshore Wind Turbines Using the Active Rotary Inertia Driver (ARID)
    • Authors: Chunwei Zhang, Meihua Liu, Zhihu Liu, Rasoul Sabetahd, Hamid Taghavifar, Ardashir Mohammadzadeh
    • Year: 2024

 

  1. Design of a Novel Intelligent Adaptive Fractional-Order Proportional-Integral-Derivative Controller for Mitigation of Seismic Vibrations of a Building Equipped with an Active Tuned Mass Damper
    • Authors: Ommegolsoum Jafarzadeh, Rasoul Sabetahd, Seyyed Arash Mousavi Ghasemi, Seyed Mehdi Zahrai
    • Year: 2024

 

  1. Design of an Online Adaptive Fractional-Order Proportional-Integral-Derivative Controller to Reduce the Seismic Response of the 20-Story Benchmark Building Equipped with an Active Control System
    • Authors: Ommegolsoum Jafarzadeh, Seyyed Arash Mousavi Ghasemi, Seyed Mehdi Zahrai, Rasoul Sabetahd, Ardashir Mohammadzadeh, Ramin Vafaei Poursorkhabi, Vasudevan Rajamohan
    • Year: 2024

 

  1. Response Attenuation of a Structure Equipped with ATMD under Seismic Excitations Using Methods of Online Simple Adaptive Controller and Online Adaptive Type-2 Neural-Fuzzy Controller
    • Authors: Rasoul Sabetahd, Seyed Arash Mousavi Ghasemi, Ramin Vafaei Poursorkhabi, Ardashir Mohammadzadeh, Yousef Zandi
    • Year: 2022

 

  1. Evaluation of Pall Friction Damper Performance in Near-Fault Earthquakes by Using Nonlinear Time History Analysis
    • Authors: Jafarzadeh, K., Lotfollahi-Yaghin, M.A., Sabetahd, R.
    • Year: 2012

 

Conclusion

Dr. Sabetahd’s journey exemplifies the fusion of academic excellence, professional dedication, and impactful research. Through his efforts, he has not only contributed to the growth of civil engineering but also inspired a new generation of engineers to pursue excellence. His legacy, defined by a commitment to progress and innovation, ensures his enduring influence in the field. As he continues his work, Dr. Sabetahd remains a beacon of inspiration, shaping the future of civil engineering.