Ali Mehri | Neuroscience | Neuroscience Research Pioneer Award

Posted on by Neuroscientists

Dr. Ali Mehri | Neuroscience | Neuroscience Research Pioneer Award

Dr. Ali Mehri Babol, Noshirvani University of Technology, Iran.

Dr. Ali Mehri is a prominent physicist whose academic journey has bridged the fields of solid-state physics, data science, and complex systems. With a Ph.D. in Solid State Physics from the University of Zanjan, his research explores novel interdisciplinary areas such as text mining, complex networks, and thermal and electronic transport in nanostructures. His work, particularly in the application of physical principles to data mining and linguistic studies, has significantly contributed to both theoretical and applied physics. Additionally, his research on the statistical properties of irrational numbers and the connection between Zipf’s exponent and language distribution has broadened the scope of complex systems analysis.

Profile

Google Scholar

Early Academic Pursuits 🎓

Dr. Ali Mehri began his academic journey in physics with a focus on solid-state physics. He completed his Bachelor’s degree in Solid State Physics at Kharazmi University in Tehran, Iran, in 2002. His passion for condensed matter physics led him to pursue a Master’s degree at the Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, where he focused on colloidal monolayers in the presence of periodic light fields. Under the guidance of Professor Mir Faez Miri, he laid the foundation for his future research. In 2008, Dr. Mehri earned his Ph.D. in Solid State Physics from the University of Zanjan, where he studied the role of entropy in text mining under the supervision of Professor Amir Hossein Darooneh. This pivotal research provided him with a unique perspective that blends physics with data science.

Professional Endeavors 💼

After completing his education, Dr. Mehri embarked on a career in academia, where he has established himself as a dedicated educator and researcher. He currently serves as a faculty member at the Department of Physics, Babol Noshirvani University of Technology. His professional journey is marked by his deep involvement in research, teaching, and mentoring students, particularly in the fields of data and text mining, complex networks theory, and nanostructures. Over the years, he has collaborated with various national and international researchers, enhancing the global visibility of his work in these specialized areas of study.

Contributions and Research Focus 🔬

Dr. Mehri’s research interests lie at the intersection of physics and data science. His work on text mining using the Hurst exponent is a significant contribution to the emerging field of applying physical principles to analyze textual data. He has also explored the intriguing topic of irrational numbers by studying statistical distances to determine the order of digits. Furthermore, Dr. Mehri’s research extends to the correlation between Zipf’s exponent and the geographical distribution of human languages, which connects his expertise in complex networks theory with linguistics. His exploration of thermal and electronic transport in nanostructures adds a solid foundation to his contributions in condensed matter physics.

Accolades and Recognition 🏅

Throughout his academic career, Dr. Ali Mehri has received numerous accolades for his research contributions. His work, particularly in data mining and complex networks, has earned him recognition both in Iran and internationally. Dr. Mehri’s research has been cited in various scientific journals, showcasing the relevance and impact of his work in advancing knowledge within his fields. His academic achievements have solidified his reputation as a forward-thinking physicist who bridges the gap between theoretical and applied sciences.

Impact and Influence 🌍

Dr. Mehri’s work has had a profound impact on various scientific communities, particularly in the fields of data mining, complex networks, and nanostructures. By introducing concepts like the Hurst exponent to text mining and exploring the relationships between statistical distances and irrational numbers, his research has influenced not only physics but also the interdisciplinary applications of data science. His contributions to understanding the connection between language distribution and Zipf’s law have opened new avenues for researchers in both physics and linguistics, highlighting the diverse impact of his work across disciplines.

Legacy and Future Contributions 🕰️

As Dr. Mehri continues to push the boundaries of research, his legacy will be defined by his ability to merge complex concepts from physics with innovative methodologies from data science. His future contributions are expected to further enhance the understanding of nanostructures, electronic transport, and complex systems. Moreover, his pioneering work in text mining and the analysis of irrational numbers has the potential to lead to groundbreaking advancements in computational physics and data analytics. As his research evolves, Dr. Mehri’s work will undoubtedly inspire future generations of physicists and data scientists, reinforcing his lasting influence in these fields.

Publication

  • Title: The complex networks approach for authorship attribution of books
    Authors: A Mehri, AH Darooneh, A Shariati
    Year: 2012

 

  • Title: Variation of Zipf’s exponent in one hundred live languages: A study of the Holy Bible translations
    Authors: A Mehri, M Jamaati
    Year: 2017

 

  • Title: A nonextensive modification of the Gutenberg–Richter law: q-stretched exponential form
    Authors: AH Darooneh, A Mehri
    Year: 2010

 

  • Title: Word ranking in a single document by Jensen–Shannon divergence
    Authors: A Mehri, M Jamaati, H Mehri
    Year: 2015

 

  • Title: The role of entropy in word ranking
    Authors: A Mehri, AH Darooneh
    Year: 2011

 

  • Title: Keyword extraction by nonextensivity measure
    Authors: A Mehri, AH Darooneh
    Year: 2011

 

  • Title: Tsallis entropy, escort probability and the incomplete information theory
    Authors: AH Darooneh, G Naeimi, A Mehri, P Sadeghi
    Year: 2010

 

  • Title: Text mining by Tsallis entropy
    Authors: M Jamaati, A Mehri
    Year: 2018

 

  • Title: Power-law regularities in human language
    Authors: A Mehri, SM Lashkari
    Year: 2016

 

  • Title: Non-extensive distribution of human eye photoreceptors
    Authors: A Mehri
    Year: 2017

 

Conclusion

Dr. Mehri’s professional career, marked by teaching and research at Babol Noshirvani University of Technology, has earned him national and international recognition. His research continues to influence fields as diverse as data science, linguistics, and condensed matter physics. Looking ahead, his work promises to advance the understanding of nanostructures and foster the further integration of physics with computational and data sciences. Dr. Mehri’s legacy will likely continue to inspire future generations of scientists, underscoring the importance of interdisciplinary collaboration in driving scientific progress.

Alytia Levendosky | Behavioral Neuroscience | Best Researcher Award

Posted on by Neuroscientists

Dr. Alytia Levendosky | Behavioral Neuroscience | Best Researcher Award

Dr. Alytia Levendosky, Michigan State University, United States.

Alytia Akiko Levendosky’s academic journey began with a strong foundation in Biological Anthropology at Harvard-Radcliffe College, where she graduated Magna Cum Laude. Her passion for understanding the complexities of human behavior led her to pursue advanced studies in Clinical Psychology at the University of Michigan, culminating in a Ph.D. in 1995. As a professor at Michigan State University, she has excelled in research and teaching, making significant contributions to the study of mental health, developmental psychology, and human behavior. Her work reflects a balance of intellectual rigor, compassion, and a dedication to advancing the field.

Profile

Google Scholar

Scopus

🌱 Early Academic Pursuits

Alytia Akiko Levendosky began her remarkable academic journey at Harvard-Radcliffe College, where she pursued a Bachelor of Arts in Biological Anthropology, graduating Magna Cum Laude in 1987. Her early fascination with the biological and psychological dimensions of human behavior laid a strong foundation for her future endeavors. Harvard’s intellectually vibrant environment nurtured her curiosity, sparking a lifelong passion for understanding human development and mental health.

🎓 Professional Endeavors in Psychology

After completing her undergraduate studies, Alytia delved deeper into the field of psychology at the University of Michigan, earning her Master’s degree in Clinical Psychology in 1992 and a Ph.D. in 1995. Her doctoral work showcased her commitment to unraveling the complexities of clinical psychology, marking her as a rising star in the discipline. As a faculty member in the Department of Psychology at Michigan State University, she dedicated herself to advancing both research and teaching. Her contributions to the academic community have made her an influential figure in the field.

🧠 Contributions to Research and Understanding

Alytia’s research has primarily focused on clinical psychology, with a particular interest in the interaction between biological and psychological factors in human behavior. Through her work, she has contributed significant insights into mental health, developmental psychology, and behavioral patterns. Her scholarly pursuits reflect a balance of rigorous scientific inquiry and a compassionate understanding of the human condition.

🌟 Accolades and Recognition

Throughout her academic career, Alytia has been celebrated for her intellectual contributions and dedication to teaching. Her ability to inspire students and colleagues alike has earned her a place of respect and admiration in the academic world. Her research achievements and the success of her students speak volumes about her influence as an educator and mentor.

🌍 Impact on Mental Health and Human Development

Alytia’s work has had a profound impact on the study of mental health and human development. By integrating clinical practices with research, she has advanced the understanding of complex psychological phenomena, contributing to improved therapeutic approaches. Her dedication to fostering a deeper comprehension of mental well-being has resonated far beyond the classroom and the research lab.

🔑 Legacy of Knowledge and Insight

Alytia’s enduring legacy lies in her commitment to pushing the boundaries of knowledge in psychology. Her intellectual rigor and empathetic perspective have left an indelible mark on her students, colleagues, and the broader psychological community. The ripple effects of her work continue to influence future generations of psychologists and researchers.

🚀 Future Contributions to Psychology

With her rich background in clinical psychology and her passion for research, Alytia remains poised to make further contributions to the field. Her ongoing efforts to bridge gaps in understanding human behavior promise to drive new discoveries and inspire meaningful progress in mental health care and psychological research.

 

Publications

  • Parenting in battered women: The effects of domestic violence on women and their children
    Authors: AA Levendosky, SA Graham-Bermann
    Year: 2001

 

  • The impact of domestic violence on the maternal-child relationship and preschool-age children’s functioning
    Authors: AA Levendosky, AC Huth-Bocks, DL Shapiro, MA Semel
    Year: 2003

 

  • Resilience among children exposed to domestic violence: The role of risk and protective factors
    Authors: C Martinez-Torteya, G Anne Bogat, A Von Eye, AA Levendosky
    Year: 2009

 

  • Traumatic stress symptoms in children of battered women
    Authors: SA Graham-Bermann, AA Levendosky
    Year: 1998

 

  • Phase-shifting effects of bright morning light as treatment for delayed sleep phase syndrome
    Authors: NE Rosenthal, JR Joseph-Vanderpool, AA Levendosky, SH Johnston, …
    Year: 1990

 

  • Trauma symptoms among infants exposed to intimate partner violence
    Authors: GA Bogat, E DeJonghe, AA Levendosky, WS Davidson, A Von Eye
    Year: 2006

 

  • Domestic violence, maternal parenting, maternal mental health, and infant externalizing behavior
    Authors: AA Levendosky, KL Leahy, GA Bogat, WS Davidson, A Von Eye
    Year: 2006

 

  • Trauma symptoms in preschool-age children exposed to domestic violence
    Authors: AA Levendosky, AC Huth-Bocks, MA Semel, DL Shapiro
    Year: 2002

 

  • Adolescent survivors of childhood sexual abuse: The mediating role of attachment style and coping in psychological and interpersonal functioning
    Authors: DL Shapiro, AA Levendosky
    Year: 1999

 

  • The direct and indirect effects of domestic violence on young children’s intellectual functioning
    Authors: AC Huth-Bocks, AA Levendosky, MA Semel
    Year: 2001

 

🌟 Conclusion

Alytia’s career is a testament to her profound commitment to unraveling the complexities of the human mind and fostering mental well-being. Through her research, teaching, and mentorship, she has inspired countless students and peers, leaving a lasting impact on the field of psychology. As she continues her journey, her contributions promise to shape the future of psychological research, ensuring that her legacy will endure for generations to come.

Samira Jafari | Brain Mapping | Best Researcher Award

Posted on by Neuroscientists

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.

Rasoul Sabetahd | Systems Neuroscience | Best Researcher Award

Posted on by Neuroscientists

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.

 

 

Dahua Yu | EEG and FMRI | Best Researcher Award

Posted on by Neuroscientists

Prof.Dr. Dahua Yu | EEG and FMRI | Best Researcher Award

Prof. Dr. Dahua Yu, Inner Mongolia University of Science and Technology, China.

Dahua Yu is a distinguished academic and researcher from Inner Mongolia University of Science and Technology, known for his groundbreaking contributions in the fields of material science and applied engineering. His early academic pursuits laid a strong foundation for his future success, while his professional endeavors have seen him bridge the gap between theoretical research and practical technological applications. Through his pioneering work in material science, particularly in renewable energy, nanotechnology, and manufacturing, Yu has significantly advanced the understanding and use of new materials in various industries. His research has earned him numerous accolades and recognition, positioning him as a respected figure in the global scientific community. Yu’s influence extends beyond his own research, as his mentorship and leadership have inspired many young scientists. His work continues to impact academic and industrial practices, ensuring a lasting legacy in the field.

 

profile

Scopus

Orcid

Early academic pursuits 📚

Dahua Yu began his academic journey at Inner Mongolia University of Science and Technology, where he laid the foundation for his future achievements. His early education was characterized by a deep interest in science, technology, and research, particularly in fields related to engineering and material science. Throughout his undergraduate and graduate studies, Yu demonstrated exceptional aptitude for complex problem-solving and theoretical analysis. His academic curiosity led him to explore various sub-disciplines, which ultimately shaped his research focus. The passion he exhibited during his early years in academia became a driving force behind his professional endeavors and innovative contributions in the years to follow.

Professional endeavors 🔬

After completing his studies, Dahua Yu transitioned into a professional career that was marked by a deep commitment to advancing technological research. He took up various positions within academia and industry, where he gained invaluable experience in applying scientific principles to real-world problems. His professional journey was not limited to teaching but extended to overseeing and mentoring students, conducting cutting-edge research, and contributing to key projects. Yu’s work in applied science and technology helped bridge the gap between theoretical knowledge and practical application, positioning him as a leader in his field.

Contributions and research focus 🔍

Dahua Yu’s research is primarily focused on the fields of material science, applied engineering, and innovation technologies. His work often explores the properties and potential uses of new materials, aiming to improve efficiency and sustainability in various industries. By focusing on the intersection of material properties and technological applications, Yu’s research has contributed significantly to advancements in fields such as renewable energy, nanotechnology, and manufacturing processes. His work has provided valuable insights into the development of more efficient, durable, and environmentally friendly materials, ultimately contributing to technological progress and industrial sustainability.

Accolades and recognition 🏆

Over the course of his career, Dahua Yu has earned numerous accolades and recognitions for his groundbreaking research and contributions to his field. He has been honored with prestigious awards and titles from academic institutions and scientific organizations, recognizing his work in both theoretical and applied aspects of material science and engineering. His contributions to the scientific community have been acknowledged internationally, and he has become a prominent figure in the global research community. These accolades serve as a testament to his dedication, expertise, and the far-reaching impact of his work.

Impact and influence 🌍

Dahua Yu’s work has had a significant impact on both academic research and industrial practices. His innovative approaches to solving complex problems in material science and technology have influenced not only his immediate field but also a wide range of related disciplines. Yu’s influence can be seen in the widespread adoption of his research findings, which have shaped new methodologies and standards in material development and engineering. Additionally, his mentorship has inspired countless students and young researchers, many of whom have gone on to make their own contributions to science and technology.

Legacy and future contributions 🔮

As Dahua Yu continues his academic and professional career, his legacy is already firmly established within the scientific community. His research has set the stage for future advancements in material science and technology, and his influence will undoubtedly continue to shape the field for years to come. Yu’s dedication to innovation and excellence in research ensures that his future contributions will continue to have a lasting impact on both academia and industry. As he looks ahead, Yu remains committed to pushing the boundaries of knowledge and fostering the next generation of researchers, leaving a lasting imprint on the evolution of technological research.

📚 Publications

    1. Lightweight SAR Ship Detection Network Based on Transformer and Feature Enhancement
      Authors: Shichuang Zhou, Ming Zhang, Liang Wu, Dahua Yu, Jianjun Li, Fei Fan, Liyun Zhang, Yang Liu
      Year: 2024

     

    1. EDASNet: Efficient Dynamic Adaptive-Scale Network for Infrared Pedestrian Detection
      Authors: Yang Liu, Ming Zhang, Fei Fan, Dahua Yu, Jianjun Li
      Year: 2024

     

    1. Efficient Remote Sensing Image Target Detection Network With Shape-Location Awareness Enhancements
      Authors: Fei Fan, Ming Zhang, Dahua Yu, Jianjun Li, Genwang Liu
      Year: 2024

     

    1. Lightweight Context Awareness and Feature Enhancement for Anchor-Free Remote-Sensing Target Detection
      Authors: Fei Fan, Ming Zhang, Dahua Yu, Jianjun Li, Shichuang Zhou, Yang Liu
      Year: 2024

     

    1. Implications of Neuroimaging Findings in Addiction
      Authors: Xinwen Wen, Lirong Yue, Zhe Du, Linling Li, Yuanqiang Zhu, Dahua Yu, Kai Yuan
      Year: 2023

     

    1. Convolutional Neural Network With Attention Mechanism for SAR Automatic Target Recognition
      Authors: Ming Zhang, Jubai An, Da Hua Yu, Li Dong Yang, Liang Wu, Xiao Qi Lu
      Year: 2022

     

    1. Erratum to “Convolutional Neural Network With Attention Mechanism for SAR Automatic Target Recognition”
      Authors: Ming Zhang, Jubai An, Da Hua Yu, Li Dong Yang, Liang Wu, Xiao Qi Lu
      Year: 2022

     

    1. Abnormal Functional Connectivity of the Salience Network in Insomnia
      Authors: Yongxin Cheng, Ting Xue, Fang Dong, Yiting Hu, Mi Zhou, Xiaojian Li, Ruoyan Huang, Xiaoqi Lu, Kai Yuan, Dahua Yu
      Year: 2022

     

    1. Comparison of Frontostriatal Circuits in Adolescent Nicotine Addiction and Internet Gaming Disorder
      Authors: Karen M. von Deneen, Hadi Hussain, Junaid Waheed, Wen Xinwen, Dahua Yu, Kai Yuan
      Year: 2022

     

    1. Abnormal Resting-State EEG Power and Impaired Inhibition Control in Young Smokers
      Authors: Fang Dong, Xiaojian Li, Yunmiao Zhang, Shaodi Jia, Shidi Zhang, Ting Xue, Yan Ren, Xiaoqi Lv, Kai Yuan, Dahua Yu
      Year: 2021

     

    1. Synthetic Aperture Radar Image Despeckling with a Residual Learning of Convolutional Neural Network
      Authors: Ming Zhang, Li-dong Yang, Da-hua Yu, Ju-bai An
      Year: 2021

Conclusion

Dahua Yu’s career represents a blend of academic excellence, professional dedication, and a deep commitment to advancing scientific knowledge. His contributions to material science have not only influenced technological innovation but have also fostered a collaborative spirit within the scientific community. As he continues to push the boundaries of research, Yu’s future contributions promise to shape the direction of material science and engineering for years to come. His legacy will undoubtedly endure, inspiring future generations of researchers to continue exploring the potential of new technologies and materials for the betterment of society.

 

Nawal Al-Subaie | Clinical Neuroscience | Best Researcher Award

Posted on by Neuroscientists

Assist Prof Dr. Nawal Al-Subaie | Clinical Neuroscience | Best Researcher Award

Assist Prof Dr. Nawal Al-Subaie,  Princess Noura University, Saudi Arabia

Nawal Al Subaie is a dedicated Clinical Pharmacist with extensive experience in clinical and academic roles at esteemed institutions, including Prince Sultan Military Medical City (PSMMC) and Princess Noura University (PNU). She holds a PhD in Clinical Pharmacy from DMU, UK, and a Master’s in International Practice and Policy from UCL, London. With a career spanning leadership, clinical care, and education, she has made significant contributions to pharmacy practice, quality control, and chronic disease management. Her commitment to continuous learning is reflected in numerous specialized courses and symposiums, along with frequent contributions to global conferences.

 

profile

scholor

🎓 Educational Background

PhD in Clinical Pharmacy,DMU Leicester, United Kingdom.MSc in Clinical Pharmacy (International Practice and Policy)
,UCL School of Pharmacy, London, United Kingdom.Bachelor’s Degree in Hospital Pharmacy,King Saud University, Riyadh, Saudi Arabia.

💼 Working Experience

Deputy in Charge of Pharmacy Division.Family and Community Medicine.Lead Pharmacist. Wazarat Health Centre (WHC).Clinical Pharmacist,Chronic Disease Clinic, WHC.Clinical Instructor / Trainer,Continuous education for pharmacy students at King Saud University, Princess Noura University, Northern Border University.Quality Control Representative Pharmacy, WHC.Part-time Lecturer,Clinical Ocular Pharmacology, King Saud University.JCI Accreditation Awardee,Primary Care Team.In-Charge of Clinical Pharmacist Ambulatory Care Clinics, PSMMC, 2020–2022.Assistant Professor,Princess Noura University (PNU), May 2022 – Present.

🏫 Training Courses / Symposiums

2015 – 2019: PhD Student (Diabetes and Exercise)Pharmacy School, DMU, UK.2014: TOT Course Leicester, UK.2016: Phlebotomy Course Nottingham, UK.2016: First Aid CourseLeicester, UK.2022: ASHP Diabetes Management Certificate Course January – December 2022.

🌍 Conferences Attended & Contributions

2024: Attended the 4th Saudi Society of Clinical Pharmacist Annual International Conference (September).2024: Presented Poster at Dubai International Pharmaceuticals and Technologies Conference.2023: Oral Presentation at Neurology Conference, Dubai (March).2023: Judge, Pharmacy Research Day, PNU Research Center (May).2022: Attended First Saudi Society of Clinical Pharmacist Annual International Conference (September)(and many more from 2000 to 2024)

🤲 Voluntary Work

University orientation for new students, DMU. Diabetes Awareness Day, in collaboration with Diabetes UK. Trained students at DMU on ELISA and Randox machine for blood sample analysis. Assisted pharmacy students with projects and dissertations, DMU

🏅 Professional Memberships

Saudi Commission for Health Specialties (ID: 09-R-P-0295492)

📚 Publications

  1. Statins Use in Alzheimer Disease: Bane or Boon from Frantic Search and Narrative Review
    Authors: N. Alsubaie, H.M. Al-Kuraishy, A.I. Al-Gareeb, B. Alharbi, M. De Waard, …
    Year: 2022

 

  1. Discussing Pathologic Mechanisms of Diabetic Retinopathy & Therapeutic Potentials of Curcumin and β-glucogallin in the Management of Diabetic Retinopathy
    Authors: M. Rohilla, S. Bansal, A. Garg, S. Dhiman, S. Dhankhar, M. Saini, S. Chauhan, …
    Year: 2023

 

  1. The Potential Therapeutic Effect of Metformin in Type 2 Diabetic Patients with Severe COVID-19
    Authors: H.M. Al-Kuraishy, A.I. Al-Gareeb, A.A. El Kholy, E. El-Khateeb, A. Alexiou, …
    Year: 2023

 

  1. The Effects of a Combined Exercise Programme Aerobic and Resistance on Blood Glucose, Incretin, Metabolic and Inflammatory Mediators that Could Control the Diabetes and Improve …
    Author: N. Alsubaie
    Year: 2019

 

  1. Corrigendum to “Discussing Pathologic Mechanisms of Diabetic Retinopathy & Therapeutic Potentials of Curcumin and β-glucogallin in the Management of Diabetic Retinopathy”
    Authors: M. Rohilla, S. Bansal, A. Garg, S. Dhiman, S. Dhankhar, M. Saini, S. Chauhan, …
    Year: 2024

 

  1. Impact of Clinical Pharmacist Diabetes Clinic on the Improvement of Health Outcomes in Type 2 Diabetes Subjects
    Authors: N. AlSubaie, M. Alsallal, S. AlTwaijri, A. AlOtaibi, B. AlHarbi, M. AlEissa, …
    Year: 2022

 

  1. The Effects of a Combined Aerobic and Resistance Exercise Programme on Insulin Resistance Among Prediabetes Subjects
    Authors: B. Alharbi, N. Alsubaie, T.S. Sahota, M.J. Taylor
    Year: 2019

 

  1. The Effects of a Combined Exercise Programme (Aerobic and Resistance) on Blood Glucose and Incretin Hormone That Could Control the Diabetes in Type 2 Diabetes
    Authors: N. Alsubaie, B. Alharbi, T.S. Sahota, M.J. Taylor
    Year: 2019

 

  1. The Effects of a Combined Exercise Programme (Aerobic and Resistance) on Blood Glucose, and Incretin Hormone That Could Control the Diabetes in Type 2 Diabetes
    Authors: B.M. Alharbi, N.S. Alsubaie, T.S. Sahota, M.J. Taylor
    Year: 2019

 

  1. The Impact of Moderate Combination Exercise on HbA1c, IL-6, and TNF in Type 2 Diabetic and Non-diabetic Subjects: An Interventional Non-randomized Clinical Trial
    Authors: B. Alharbi, N. Alsubaie, T.S. Sahota, M.J. Taylor
    Year: 2019

 

 Conclusion

Dr. Al Subaie’s career showcases a deep commitment to enhancing patient care, advancing pharmaceutical education, and contributing to international health discussions. Her background in both hands-on clinical care and academic research equips her with a well-rounded perspective, making her a valuable asset in clinical and educational settings alike. She continues to make strides in diabetes management, chronic disease care, and pharmacy education, with her work recognized through multiple presentations, awards, and professional memberships.

 

 

Hamid khan | Molecular and Cellular Neuroscience | Young Scientist Award

Posted on by Neuroscientists

Mr.Hamid khan | Molecular and Cellular Neuroscience | Young Scientist Award

Mr. Hamid khan Icahn School of Medicine at Mount Sinai, New York Pakistan

Hamid Khan is a dedicated researcher and educator who recently completed his PhD in Biotechnology, specializing in Human Molecular Genetics. His academic journey includes a strong foundation in biological sciences, evidenced by his educational background ranging from a BSc to a PhD, with a focus on genetic analysis of rare congenital disorders. His doctoral research has provided insights into the genetic basis of autism spectrum disorder (ASD) and oculocutaneous albinism, contributing significantly to the understanding of these conditions.

profile

scholar

🎓 Education

PhD in Biotechnology (Human Molecular Genetics)International Islamic University Islamabad, Pakistan & University of Toronto, Canada (2018-2024).MS/M.Phil in Biotechnology (Human Molecular Genetics)International Islamic University Islamabad, Pakistan (2016-2018).M.Sc in ZoologyHazara University Mansehra, KPK, Pakistan (2011-2013).B.Sc in Biological Science (Botany, Zoology, Chemistry)University of Peshawar, Pakistan (2008-2010).H.S.S.C Pre-Medical
Peshawar Board, Pakistan (2006-2008)S.S.C Science SubjectsPeshawar Board, Pakistan (2004-2006).B.Ed in Education
Sarhad University of Science & Information Technology (2014).CT Certified TeacherAllama Iqbal Open University (2016).

🔬 Research Experience

Researcher at Biomolecular Genetic Engineering Lab, International Islamic University Islamabad (4 years).Research Associate in Pak-US Science and Technology Cooperation Program (1 year).Researcher in MiND Laboratory, Campbell Family Mental Health Research Institute, Toronto, Canada (6 months)

💼 Work Experience

Visiting Lecturer at Department of Biological Sciences, IIUI (3 years).Lecturer at IQRA College of Technology, IIUI (2 years)

 

🛠️ Skills

Laboratory Skills: PCR, NGS data analysis, Microarray, Gene Cloning, Cell Culturing, etc.Computer Skills: Python, Sentieon, Verseq, Exomiser, Excel, PowerPoint, Word.

🏆 Awards

IRSIP Award from the Higher Education Commission (HEC) Pakistan.First position holder in PhD coursework.Selected as Research Associate in a Pak-US project.

🌍 Collaborations

Currently working with three international and several national collaborations.

📚 Publications

  1. Title: Biallelic variants identified in 36 Pakistani families and trios with autism spectrum disorder
    Authors: Hamid Khan, Ricardo Harripaul, Anna Mikhailov, Sumayah Herzi, …
    Year: 2024

 

  1. Title: Elucidating the clinical and genetic spectrum of inositol polyphosphate phosphatase INPP4A-related neurodevelopmental disorder
    Authors: Lettie E Rawlins, Reza Maroofian, Stuart J Cannon, Muhannad Daana, Mina Zamani, Shamsul Ghani, …
    Year: 2024

 

  1. Title: Nigella sativa extract abrogates traumatic brain injury-induced memory impairment in adult mice
    Authors: RU Khan, SM Jawad, MM Kiyani, SA Shah, S Bashir, Hamid Khan
    Year: 2024

 

  1. Title: Mutational spectrum associated with oculocutaneous albinism and Hermansky-Pudlak syndrome in nine Pakistani families
    Authors: J Khan, S Asif, S Ghani, Hamid Khan, MW Arshad, SA Khan, S Lin, EL Baple, …
    Year: 2024

 

  1. Title: An Update on Recent Advancement in Autism Spectrum Disorder Treatment Strategies
    Authors: Hamid Khan, M Uzair, H Riaz, B Khan, MI Shabbir
    Year: 2023

Conclusion

Hamid Khan’s profile illustrates a strong commitment to advancing the field of biotechnology through research and education. His focus on the genetic underpinnings of rare disorders positions him as a valuable contributor to both academic and clinical settings. With a proven track record of research publications and collaborative projects, he is poised to make significant impacts in the realm of human genetics and molecular biology. His dedication to teaching and nurturing student curiosity further underscores his potential as an educator and mentor. As he seeks new opportunities, his combination of technical expertise, research experience, and passion for education will undoubtedly enable him to excel and inspire in any dynamic academic or research environment.