Xiaobing Yan | Neurotechnology | Best Researcher Award

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Prof. Xiaobing Yan | Neurotechnology | Best Researcher Award

Prof. Xiaobing Yan, Hebei University, China.

Professor Xiaobing Yan is a distinguished researcher specializing in novel memory devices and memristor-based brain-inspired chip technologies. As a Senior Member of IEEE and a reviewer for leading journals, he has made significant contributions to the field of neuromorphic engineering. His outstanding achievements include recognition as a Young Changjiang Scholar and a Young Top-notch Talent under China’s National Ten Thousand Talents Program. With over 120 high-impact publications, 5,600+ citations, and an H-index of 40, he is globally recognized among the top 2% of scientists. His research has been supported by several prestigious national and provincial funding programs.

Profile

Scopus

🎓 Early Academic Pursuits

Xiaobing Yan embarked on his academic journey with a deep passion for electronics and information engineering. His early years were marked by an unwavering dedication to understanding the complexities of memory devices and neuromorphic systems. As he progressed through his studies, his curiosity and drive led him to explore the intersection of artificial intelligence and hardware development. His rigorous academic training laid a solid foundation for his future contributions to next-generation computing technologies.

💪 Professional Endeavors

Currently serving as a Professor at the Institute of Life Science and Green Development, Hebei University, Xiaobing Yan has established himself as a distinguished leader in the field of electronic engineering. He is a Doctoral Supervisor and a Senior Member of IEEE, a testament to his vast expertise and influence in the scientific community. His role extends beyond academia, as he actively engages in national-level research programs and collaborates with top-tier research institutions. His professional journey is a testament to his commitment to pioneering advancements in neuromorphic computing and memristor-based brain-inspired chip technologies.

🤖 Contributions and Research Focus

Xiaobing Yan’s research primarily revolves around novel memory devices and brain-like computing systems. His work has been instrumental in the advancement of memristor-based chip technologies, which hold the potential to revolutionize artificial intelligence hardware. By bridging the gap between neuroscience and semiconductor innovation, he is contributing to the development of energy-efficient, high-performance computing architectures. His research projects, funded by prestigious national programs, aim to push the boundaries of nanoelectronics and intelligent systems.

🏆 Accolades and Recognition

Xiaobing Yan’s groundbreaking work has earned him widespread recognition. In 2019, he was honored as a Young Changjiang Scholar by the Ministry of Education and selected as a Young Top-notch Talent under the National Ten Thousand Talents Program. In 2024, he further cemented his legacy by winning the Excellence Award at the National Disruptive Innovation Technology Competition. His contributions are not only recognized in China but also on a global scale, as he has been listed among the top 2% of scientists worldwide by Stanford University.

🌟 Impact and Influence

With over 120 high-impact publications and more than 5,600 citations, Xiaobing Yan’s research has significantly shaped the field of electronics and artificial intelligence. His H-index of 40 reflects the depth and relevance of his contributions. As a reviewer for prestigious journals such as Nature Electronics, Advanced Materials, and ACS Nano, he plays a crucial role in shaping the direction of cutting-edge research. His influence extends beyond his publications, as he mentors young researchers and fosters collaborations that drive innovation in neuromorphic computing.

🚀 Legacy and Future Contributions

As a leader in disruptive technology and nanoelectronics, Xiaobing Yan is poised to continue pushing the boundaries of scientific discovery. His ongoing research projects, including multiple National Key R&D initiatives and collaborations with leading institutions, demonstrate his commitment to pioneering breakthroughs in brain-inspired computing. With his vision and expertise, he is set to leave a lasting legacy in the development of next-generation intelligent systems, shaping the future of artificial intelligence and semiconductor technology.

Publication

  1. In situ training of an in-sensor artificial neural network based on ferroelectric photosensors

    • Authors: H. Lin, Haipeng; J. Ou, Jiali; Z. Fan, Zhen; X. Gao, Xingsen; J. Liu, Junming
    • Year: 2025

 

  1. Ultra robust negative differential resistance memristor for hardware neuron circuit implementation

    • Authors: Y. Pei, Yifei; B. Yang, Biao; X. Zhang, Xumeng; S. Li, Shushen; X. Yan, Xiaobing
    • Year: 2025

 

  1. Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models

    • Authors: W. Yue, Wenshuo; K. Wu, Kai; Z. Li, Zhiyuan; R. Huang, Ru; Y. Yang, Yuchao
    • Year: 2025

 

  1. Memristor-based feature learning for pattern classification

    • Authors: T. Shi, Tuo; L. Gao, Lili; Y. Tian, Yang; X. Yan, Xiaobing; Q. Liu, Qi
    • Year: 2025

 

  1. Harnessing spatiotemporal transformation in magnetic domains for nonvolatile physical reservoir computing

    • Authors: J. Zhou, Jing; J. Xu, Jikang; L. Huang, Lisen; X. Yan, Xiaobing; S.T. Lim, Sze Ter
    • Year: 2025

 

  1. Flexoelectric Effect in Thin Films: Theory and Applications

    • Authors: X. Jia, Xiaotong; R. Guo, Rui; J. Chen, Jingsheng; X. Yan, Xiaobing
    • Year: 2025

 

  1. Deoxyribonucleic acid brick crystals-based memristor as an artificial synapse for neuromorphic computing

    • Authors: Z. Wang, Zhongrong; X. Liu, Xinran; J. Li, Jiahang; J. Lou, Jianzhong; X. Yan, Xiaobing
    • Year: 2025

 

  1. Weighted Echo State Graph Neural Networks Based on Robust and Epitaxial Film Memristors

    • Authors: Z. Guo, Zhenqiang; G. Duan, Guojun; Y. Zhang, Yinxing; Y. Faraj, Yousef; X. Yan, Xiaobing
    • Year: 2025

 

  1. Achieving over 10 % efficiency in kesterite solar cells via selenium-free annealing

    • Authors: Q. Zhou, Qing; Y. Cong, Yijia; H. Li, Hao; Y. Sun, Yali; W. Yu, Wei
    • Year: 2024

 

  1. Hardware implementation of memristor-based artificial neural networks

  • Authors: F.L. Aguirre, Fernando L.; A. Sebastian, Abu; M. Le Gallo, Manuel; S. Matias Pazos, Sebastian; M. Lanza, Mario
  • Year: 2024

 

Conclusion

Professor Yan’s work plays a pivotal role in advancing memory technology and brain-inspired computing. His extensive research contributions and leadership in high-impact projects underscore his expertise in developing next-generation computing technologies. His global recognition and numerous accolades highlight his influence in the field, positioning him as a key figure in neuromorphic engineering and memory device innovation.

 

 

Saba Hesaraki | Neurotechnology | Best Researcher Award

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Ms. Saba Hesaraki | Neurotechnology | Best Researcher Award

Ms. Saba Hesaraki,  Islamic Azad University science and research branch, Iran.

Saba Hesaraki is a computer engineer specializing in artificial intelligence (AI), particularly in medical imaging and generative AI. She holds a Master’s degree in Computer Engineering from Islamic Azad University, Science and Research Branch, Tehran, where her thesis focused on breast cancer image segmentation using an improved 3D U-Net++ model. She has a strong academic background with high GPAs in both her bachelor’s and master’s programs.

Profile

Google Scholar

🌱 Early Academic Pursuits

Saba Hesaraki embarked on her academic journey with a deep passion for computer engineering, earning her Bachelor of Science in Software Engineering from Islamic Azad University, West Tehran Branch. With an outstanding GPA of 17.22 out of 20.0, she demonstrated an early inclination toward problem-solving and artificial intelligence. Her intellectual curiosity and commitment to innovation led her to pursue a Master’s degree in the same domain at Islamic Azad University, Science and Research Branch, Tehran. Her thesis, titled “Segmentation of Breast Cancer Images Using Improved 3D U-Net++ Model,” under the supervision of Dr. Maryam Rastgarpour, showcases her dedication to advancing medical imaging technologies through AI-driven solutions. With an exceptional GPA of 18.12 out of 20.0, her academic excellence laid the foundation for a remarkable research career.

💼 Professional Endeavors

Saba’s professional journey reflects her deep expertise in artificial intelligence, particularly in the realms of generative AI and medical imaging. She has worked remotely in various esteemed organizations, contributing her skills to groundbreaking AI projects. Her role as a Generative AI Engineer at Care Vox in Mountain View, California, and Nexus in San Jose, California, enabled her to develop innovative AI-driven solutions. Prior to this, she made significant contributions as a Computer Vision Engineer at Koga Studio and the Quantitative MR Imaging and Spectroscopy Group in Tehran. Her engagement as an NLP Researcher at Asr Gooyesh Pardaz further showcases her versatility in the field of AI. Through these roles, she has gained profound experience in AI-based medical diagnostics, image segmentation, and sustainable AI development, paving the way for impactful innovations.

📚 Contributions and Research Focus

As a dedicated researcher, Saba’s work has revolved around the intersection of AI and healthcare, particularly medical image segmentation and generative AI applications. Her research interests extend to AI-driven personalized medicine and sustainable AI solutions. She has co-authored multiple research papers, including “Capsule Fusion for Extracting Psychiatric Stressors for Suicide from Twitter” and “UNet++ and LSTM Combined Approach for Breast Ultrasound Image Segmentation.” Her work reflects a keen interest in leveraging AI to solve complex medical challenges, from cancer detection to mental health analysis. Her research on classifying 3D point cloud objects using hybrid neural networks also highlights her multidisciplinary expertise.

🏆 Accolades and Recognition

Saba’s dedication to AI research has been recognized through her academic achievements and professional contributions. Her IELTS score of 7.5 and GRE score of 332 underscore her strong analytical and communication skills, essential for global collaboration in AI research. Her research papers have been under review and submission in reputable scientific journals, further solidifying her presence in the AI and medical imaging research community. The recognition she has garnered through collaborations and innovative contributions establishes her as an influential figure in AI-driven healthcare solutions.

🌍 Impact and Influence

Saba’s work extends beyond research, as she actively contributes to the global AI community by developing cutting-edge AI applications for real-world problems. Her role in AI for sustainable development and AI-driven personalized medicine signifies her commitment to leveraging technology for societal benefit. Her experience in deep learning frameworks like PyTorch and Keras, along with her expertise in machine learning algorithms, has allowed her to shape AI-driven healthcare innovations that have the potential to save lives and enhance medical diagnostics. Through collaborations and mentorship, she inspires the next generation of AI researchers to push the boundaries of technological advancements.

🚀 Legacy and Future Contributions

As an AI researcher and engineer, Saba continues to drive innovation in medical imaging and generative AI. Her aspirations include advancing AI methodologies for early disease detection, improving healthcare accessibility through AI-driven solutions, and fostering AI applications in sustainable development. Her ability to blend technical expertise with a deep understanding of healthcare challenges positions her as a leader in the field. With a promising future ahead, she remains dedicated to exploring new AI frontiers that will revolutionize medical imaging, AI ethics, and beyond.

Publication

Title: A Comprehensive Analysis on Machine Learning based Methods for Lung Cancer Level Classification
Authors: S. Farshchiha, S. Asoudeh, M.S. Kuhshuri, M. Eisaeid, M. Azadie, S. Hesaraki
Year: 2025

Title: Breast Cancer Ultrasound Image Segmentation Using Improved 3D Unet++
Authors: S. Hesaraki, A.S. Mohammed, M. Eisaei, R. Mousa
Year: 2025

Title: BERTCaps: BERT Capsule for Persian Multi-Domain Sentiment Analysis
Authors: M. Memari, S.M. Nejad, A.P. Rabiei, M. Eisaei, S. Hesaraki
Year: 2024

Title: UNet++ and LSTM Combined Approach for Breast Ultrasound Image Segmentation
Authors: S. Hesaraki, M. Akbari, R. Mousa
Year: 2024

Title: Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid Approach
Authors: R. Mousa, M. Khezli, M. Azadi, V. Nikoofard, S. Hesaraki
Year: 2024

Title: CapsF: Capsule Fusion for Extracting Psychiatric Stressors for Suicide from Twitter
Authors: M.A. Dadgostarnia, R. Mousa, S. Hesaraki
Year: 2024

Conclusion

Saba Hesaraki is a highly skilled and motivated AI engineer with a strong academic and research background in medical imaging and generative AI. Her experience across various AI-driven projects, coupled with technical expertise in deep learning and computer vision, positions her as a valuable contributor to the field. With multiple publications and collaborations in AI and machine learning, she continues to make significant advancements in healthcare applications using AI.

Shilin Luo | Neurogenetics and Molecular Neuroscience | Best Researcher Award

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Prof. Shilin Luo | Neurogenetics and Molecular Neuroscience | Best Researcher Award

Prof. Shilin Luo, Xiangya Hospital, Central South University, China.

Dr. Shilin Luo is a leading expert in neuropharmacology and medicinal chemistry, with a strong academic background in traditional Chinese medicine and modern pharmacology. His research focuses on the pathogenesis of neurodegenerative diseases and the development of innovative drug therapies. Through his work at Xiangya Hospital, Central South University, and previous research at Emory University, he has made significant contributions to understanding neurological disorders. His studies on animal models and risk genes have paved the way for novel treatment strategies, earning him international recognition.

Profile

Scopus

Orcid

 

🎓 Early Academic Pursuits

Dr. Shilin Luo’s journey into the world of medical science began with a deep-rooted passion for understanding the complexities of neurological diseases. He earned his Bachelor’s degree in Chinese Materia Medica from Shenyang Pharmaceutical University, where he developed a strong foundation in traditional Chinese medicine and pharmacology. With an insatiable thirst for knowledge, he further pursued a Ph.D. in Medicinal Chemistry at China Pharmaceutical University, specializing in the research of active ingredients in natural products. Under the mentorship of Prof. Wencai Ye, a distinguished scholar, Dr. Luo honed his expertise in medicinal chemistry, paving the way for groundbreaking discoveries in neuropharmacology.

👨‍🎓 Professional Endeavors

To deepen his expertise, Dr. Luo embarked on postdoctoral research at Emory University’s School of Medicine in the Department of Pathology and Laboratory Medicine. Working under the esteemed Prof. Keqiang Ye, he focused on neurobiology and neuropharmacology, contributing significantly to the understanding of neurodegenerative diseases. His research provided novel insights into the molecular mechanisms underlying neurological disorders, positioning him as a leading figure in the field. He later took on a pivotal role as a professor in the Department of Neurology at Xiangya Hospital, Central South University, where he continues to mentor young scientists and advance medical research.

🧪 Contributions and Research Focus

Dr. Luo’s research is primarily dedicated to uncovering the pathogenesis of neurodegenerative diseases and developing therapeutic interventions. His work in animal models of pathogenic and risk genes for neurological disorders has been instrumental in identifying potential drug targets. By integrating traditional Chinese medicine with modern pharmacology, he has contributed to the development of innovative neuroprotective agents. His studies on the molecular mechanisms of neuronal degeneration have led to promising advancements in combating conditions such as Alzheimer’s and Parkinson’s disease.

🏆 Accolades and Recognition

Throughout his career, Dr. Luo has been widely recognized for his groundbreaking contributions to neuropharmacology. His research has been published in high-impact scientific journals, earning him international acclaim. His dedication to scientific excellence has garnered prestigious awards, and he is frequently invited to deliver keynote lectures at global conferences. His work continues to inspire fellow researchers, solidifying his reputation as a distinguished scientist in neurological drug development.

🏰 Impact and Influence

Dr. Luo’s impact extends beyond the laboratory, as he actively contributes to the medical community through mentorship and collaboration. His efforts in integrating traditional Chinese medicinal principles with cutting-edge pharmacological approaches have opened new avenues for drug discovery. His research findings have not only influenced academic discourse but have also laid the groundwork for potential clinical applications, bringing hope to patients suffering from neurodegenerative diseases.

⚛️ Legacy and Future Contributions

As a visionary scientist, Dr. Luo continues to push the boundaries of neurological research. His commitment to translational medicine aims to bridge the gap between laboratory discoveries and clinical applications. By fostering interdisciplinary collaborations and mentoring the next generation of researchers, he is shaping the future of neuropharmacology.

 

Publication

  • Disease-modifying therapies for Alzheimer’s disease: Clinical trial progress and opportunity
    Authors: Yujie Zhang, Jie Chen, Yanru Li, Bin Jiao, Shilin Luo
    Year: 2025

 

  • The role of the probiotic Akkermansia muciniphila in brain functions: insights underpinning therapeutic potential
    Authors: Ruiling Xu, Yuxuan Zhang, Shurui Chen, Yaohui Zeng, Xuan Fu, Ti Chen, Shilin Luo, Xiaojie Zhang
    Year: 2023

 

  • Nonviral delivery systems for antisense oligonucleotide therapeutics
    Authors: Si Huang, Xin-Yan Hao, Yong-Jiang Li, Jun‑Yong Wu, Da-Xiong Xiang, Shilin Luo
    Year: 2022

 

  • The Microglial membrane receptor TREM2 mediates exosome secretion to promote phagocytosis of amyloid‐β by microglia
    Authors: Si Huang, Xiaoli Liao, Junyong Wu, Xiaojie Zhang, Yamin Li, Daxiong Xiang, Shilin Luo
    Year: 2022

 

  • Correction: Microglial ERK-NRBP1-CREB-BDNF signaling in sustained antidepressant actions of (R)-ketamine
    Authors: Not explicitly listed
    Year: 2021

 

  • Polygonatum sibiricum Polysaccharides Protect against MPP‐Induced Neurotoxicity via the Akt/mTOR and Nrf2 Pathways
    Authors: Si Huang, Haiyan Yuan, Wenqun Li, Xinyi Liu, Xiaojie Zhang, Daxiong Xiang, Shilin Luo, Guodong Zhang
    Year: 2021

 

  • Bushen-Tiansui Formula Improves Cognitive Functions in an Aβ1–42 Fibril-Infused Rat Model of Alzheimer’s Disease
    Authors: Chenxia Sheng, Panpan Xu, Xinyi Liu, Weijun Peng, Daxiong Xiang, Shilin Luo
    Year: 2020

 

  • Osteogenesis activity of isocoumarin a through the activation of the PI3K-Akt/Erk cascade-activated BMP/RUNX2 signaling pathway
    Authors: Not explicitly listed
    Year: 2019

 

  • Akt Phosphorylates NQO1 and Triggers its Degradation, Abolishing Its Antioxidative Activities in Parkinson’s Disease
    Authors: Shilin Luo, Seong Su Kang, Zhi-Hao Wang, Xia Liu, Julia X Day, Zhiping Wu, Junmin Peng, Daxiong Xiang, Wolfdieter Springer, Keqiang Ye
    Year: 2019

 

  • Puerarin-loaded PEG-PE micelles with enhanced anti-apoptotic effect and better pharmacokinetic profile
    Authors: Not explicitly listed
    Year: 2018

 

Conclusion

Dr. Luo’s unwavering dedication to neurological research continues to shape the future of neuropharmacology. His innovative approach, combining traditional medicinal insights with modern scientific advancements, has the potential to revolutionize drug development for neurodegenerative diseases. As a mentor, researcher, and pioneer in his field, his contributions will leave a lasting impact on both academia and clinical medicine, offering hope for more effective treatments in the years to come.

 

Hiroshi Yamada | Neuroscience | Excellence in Innovation

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Mr. Hiroshi Yamada | Neuroscience | Excellence in Innovation

Mr. Hiroshi Yamada, Medical/Tsukuba, Japan.

H. Yamada, born in Kasugai, Aichi, Japan, has built an impressive academic and professional career in neuroscience. After earning his Bachelor of Science from Tohoku University, he pursued a Master’s degree at Osaka University and later obtained his Ph.D. from Kyoto Prefectural University of Medicine. His research journey took him from postdoctoral studies in Japan to New York University, where he collaborated with renowned neuroscientist Paul W. Glimcher. Returning to Japan, he served as Section Chief at the National Center of Neurology and Psychiatry before joining the University of Tsukuba, where he progressed from Assistant Professor to Associate Professor. His research focuses on neural mechanisms, contributing significantly to neuroscience through both theoretical and practical advancements.

Profile

Google Scholar

🎓 Early Academic Pursuits

H. Yamada’s academic journey reflects a deep-rooted passion for science and medicine. Born on September 9, 1977, in Kasugai, Aichi, Japan, he pursued a Bachelor of Science degree from the Faculty of Science at Tohoku University, graduating in 2000. Driven by a desire to deepen his understanding of human biology, he earned his Master of Arts from the Faculty of Medicine at Osaka University in 2002. His academic pursuits culminated in a Ph.D. from the Graduate School of Kyoto Prefectural University of Medicine in 2005, where he laid the groundwork for his future research in neuroscience.

🧠 Professional Endeavors in Neuroscience

H. Yamada’s professional career began with postdoctoral research at Kyoto Prefectural University of Medicine under the mentorship of Minoru Kimura, focusing on advanced neurological studies. His pursuit of global scientific exposure led him to New York University in 2008, where he worked with renowned neuroscientist Paul W. Glimcher. Upon returning to Japan, Yamada took on a leadership role as Section Chief at the National Center of Neurology and Psychiatry, National Institute of Neuroscience, from 2011. This role was pivotal in shaping his expertise in neurological research, ultimately leading to his tenure as Assistant Professor at the University of Tsukuba in 2013, and later as Associate Professor in 2022.

🔬 Contributions and Research Focus

Throughout his career, H. Yamada has been dedicated to unraveling the complexities of the human brain. His research primarily focuses on neuroscience, exploring neural mechanisms underlying behavior and cognition. At the University of Tsukuba, he has contributed significantly to the understanding of brain functions, merging experimental data with theoretical models to advance the field. His collaborations with international experts have enriched his approach, making his work both diverse and impactful.

🏅 Accolades and Recognition

Yamada’s contributions to neuroscience have earned him recognition within the academic community. His leadership roles and tenured position at the University of Tsukuba reflect his outstanding research and teaching capabilities. His work at prestigious institutions like New York University and the National Center of Neurology and Psychiatry has further solidified his reputation as a respected neuroscientist, contributing to both national and international scientific advancements.

🌍 Impact and Influence

H. Yamada’s research has had a profound impact on the field of neuroscience, influencing both academic circles and clinical practices. His studies on neural behavior have provided insights that bridge the gap between theoretical neuroscience and practical applications, aiding in the development of treatments for neurological disorders. As an educator, he has mentored numerous students, fostering the next generation of neuroscientists.

🚀 Legacy and Future Contributions

Looking ahead, H. Yamada is committed to expanding the horizons of neuroscience through innovative research and global collaborations. His legacy is not only reflected in his published work but also in the students and researchers he has inspired. As he continues his journey at the University of Tsukuba, his focus remains on advancing scientific knowledge and contributing to the global understanding of the human brain.

💡 A Lifelong Dedication to Science

H. Yamada’s life is a testament to the power of curiosity and dedication. From his early academic days in Tohoku to his current role as an Associate Professor, he has consistently pursued excellence in neuroscience. His journey underscores the importance of interdisciplinary research, mentorship, and the relentless quest for knowledge, leaving a lasting mark on the scientific community.

Publication

  • Title: Tonically active neurons in the primate caudate nucleus and putamen differentially encode instructed motivational outcomes of action
    Authors: H. Yamada, N. Matsumoto, M. Kimura
    Year: 2004

 

  • Title: Roles of the lateral habenula and anterior cingulate cortex in negative outcome monitoring and behavioral adjustment in nonhuman primates
    Authors: T. Kawai, H. Yamada, N. Sato, M. Takada, M. Matsumoto
    Year: 2015

 

  • Title: Thirst-dependent risk preferences in monkeys identify a primitive form of wealth
    Authors: H. Yamada, A. Tymula, K. Louie, P.W. Glimcher
    Year: 2013

 

  • Title: Juxtacellular labeling of tonically active neurons and phasically active neurons in the rat striatum
    Authors: H. Inokawa, H. Yamada, N. Matsumoto, M. Muranishi, M. Kimura
    Year: 2010

 

  • Title: Free choice shapes normalized value signals in medial orbitofrontal cortex
    Authors: H. Yamada, K. Louie, A. Tymula, P.W. Glimcher
    Year: 2018

 

  • Title: Tonically active neurons in the striatum encode motivational contexts of action
    Authors: M. Kimura, H. Yamada, N. Matsumoto
    Year: 2003

 

  • Title: Tonic firing mode of midbrain dopamine neurons continuously tracks reward values changing moment-by-moment
    Authors: Y. Wang, O. Toyoshima, J. Kunimatsu, H. Yamada, M. Matsumoto
    Year: 2021

 

  • Title: Roles of centromedian parafascicular nuclei of thalamus and cholinergic interneurons in the dorsal striatum in associative learning of environmental events
    Authors: K. Yamanaka, Y. Hori, T. Minamimoto, H. Yamada, N. Matsumoto, et al.
    Year: 2018

 

  • Title: Inactivation of the putamen selectively impairs reward history-based action selection
    Authors: M. Muranishi, H. Inokawa, H. Yamada, Y. Ueda, N. Matsumoto, M. Nakagawa, et al.
    Year: 2011

 

  • Title: Goal-directed, serial and synchronous activation of neurons in the primate striatum
    Authors: M. Kimura, N. Matsumoto, K. Okahashi, Y. Ueda, T. Satoh, T. Minamimoto, et al.
    Year: 2003

 

Conclusion

H. Yamada’s career is a reflection of his dedication to advancing the understanding of the human brain. His academic achievements, leadership roles, and research contributions have left a lasting impact on the neuroscience community. As he continues his work at the University of Tsukuba, his legacy is defined not only by his scientific discoveries but also by his mentorship and influence on future generations of researchers. His journey stands as an inspiring example of the pursuit of knowledge and the transformative power of science.

Samira Jafari | Brain Mapping | Best Researcher Award

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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

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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.

 

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🌱 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.