Mona Fikry | Cognitive Neuroscience | Best Academic Researcher Award

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Assist. Prof. Dr. Mona Fikry | Cognitive Neuroscience | Best Academic Researcher Award

Assist. Prof. Dr.  Mona Fikry, Faculty of Pharmacy-Cairo University, Egypt.

Dr. Mona Fikry Said, Assistant Professor of Pharmaceutical Chemistry at Cairo University, stands out as a dedicated educator, researcher, and mentor in the field of medicinal chemistry. Her academic journey reflects a blend of deep scientific knowledge and practical teaching expertise. She has supervised numerous postgraduate theses and published extensively in prestigious journals. Her research, particularly in the synthesis and pharmacological evaluation of novel compounds for neurodegenerative diseases, highlights her commitment to addressing real-world health challenges. Beyond her publications, Dr. Said’s influence extends through academic collaboration, curriculum development, and mentorship.

Profile

Google Scholar

🎓 Early Academic Pursuits

Dr. Mona Fikry Said began her academic journey with a strong foundation in pharmaceutical sciences, eventually channeling her passion for medicinal chemistry into advanced academic and research endeavors. Her early commitment to learning laid the groundwork for a career dedicated to both academic excellence and scientific innovation. This formative stage was marked by rigorous study and a growing interest in drug design and discovery, which shaped her professional focus.

🧪 Professional Endeavors

Currently serving as an Assistant Professor of Pharmaceutical Chemistry at the Faculty of Pharmacy, Cairo University, Dr. Said has become a respected educator and mentor in her field. She has been actively involved in teaching a wide array of pharmaceutical chemistry courses and guiding numerous master’s and doctoral students through their theses. Her role extends beyond instruction, as she also participates in academic advising and serves as an external examiner for other institutions.

🔬 Contributions and Research Focus

Dr. Said’s research is deeply rooted in pharmaceutical chemistry, with a particular focus on the development of novel bioactive compounds. Her most recent completed project, “Probing new 3-hydrazinyl indole phenacetamide derivatives as multitarget anti-Alzheimer: Synthesis, in vivo, in vitro, and in silico studies,” exemplifies her multidisciplinary approach to drug discovery. She integrates synthesis, pharmacological testing, and computational modeling to explore new therapeutic avenues, especially for neurodegenerative diseases.

🏅 Accolades and Recognition

While not always publicly documented, Dr. Said’s scientific contributions are widely acknowledged through her publications in high-impact journals such as European Journal of Medicinal Chemistry, Molecular Diversity, Bioorganic Chemistry, and Future Medicinal Chemistry. Her expertise is recognized by her academic peers, and her involvement in national academic programs highlights her standing in the pharmaceutical education community.

🌐 Impact and Influence

Through her publications in SCI and Scopus-indexed journals, Dr. Said has significantly contributed to the body of knowledge in pharmaceutical chemistry. Her work bridges theoretical research and practical applications, influencing both the academic landscape and the early stages of pharmaceutical development. By mentoring postgraduate students and collaborating across institutions, she has helped cultivate a new generation of researchers in Egypt and beyond.

📘 Legacy and Future Contributions

Dr. Said’s lasting impact lies not only in her research but also in her educational leadership. With each class she teaches and each thesis she supervises, she sows the seeds for future advancements in medicinal chemistry. Her continued involvement in clinical academic programs and university examinations ensures that her influence will resonate across institutions for years to come. Looking forward, her research aims to expand into more diverse therapeutic targets, further strengthening Cairo University’s role in pharmaceutical innovation.

🧬 Research Vision in Pharmaceutical Chemistry

With an enduring commitment to discovery, Dr. Mona Fikry Said envisions a research future driven by interdisciplinary collaboration and the integration of cutting-edge techniques. Her dedication to the design and synthesis of multitarget agents reflects a broader mission to combat complex diseases like Alzheimer’s. In doing so, she positions herself at the forefront of modern pharmaceutical chemistry, where innovation and impact go hand in hand.

Publication

  • Synthesis of novel 1,3,4-trisubstituted pyrazoles as anti-inflammatory and analgesic agents
    FA Ragab, NMA Gawad, HH Georgey, MF Said
    2013

 

  • Design and synthesis of ibuprofen-quinoline conjugates as potential anti-inflammatory and analgesic drug candidates
    AM Ghanim, AS Girgis, BM Kariuki, N Samir, MF Said, A Abdelnaser, …
    2022

 

  • Pyrazolone derivatives: Synthesis, anti-inflammatory, analgesic, quantitative structure–activity relationship and in vitro studies
    FAF Ragab, NM Abdel-Gawad, HH Georgey, MF Said
    2013

 

  • Synthesis and selective inhibitory effects of some 2-oxindole benzenesulfonamide conjugates on human carbonic anhydrase isoforms CA I, CA II, CA IX and CAXII
    RF George, MF Said, S Bua, CT Supuran
    2020

 

  • Synthesis, molecular modelling and QSAR study of new N-phenylacetamide-2-oxoindole benzensulfonamide conjugates as carbonic anhydrase inhibitors
    MF Said, RF George, A Petreni, CT Supuran, NM Mohamed
    2022

 

  • Synthesis and molecular docking of new imidazoquinazolinones as analgesic agents and selective COX-2 inhibitors
    HH Hassanein, HH Georgey, MA Fouad, AM El Kerdawy, MF Said
    2017

 

  • New NSAID conjugates as potent and selective COX-2 inhibitors: Synthesis, molecular modeling and biological investigation
    RM Bokhtia, SS Panda, AS Girgis, N Samir, MF Said, A Abdelnaser, …
    2023

 

  • Development of Isatin‐Based Schiff Bases Targeting VEGFR‐2 Inhibition: Synthesis, Characterization, Antiproliferative Properties, and QSAR Studies
    IA Seliem, SS Panda, AS Girgis, QL Tran, MF Said, MS Bekheit, …
    2022

 

  • Synthesis and computational studies of novel fused pyrimidinones as a promising scaffold with analgesic, anti-inflammatory and COX inhibitory potential
    MF Said, HH Georgey, ER Mohammed
    2021

 

  • Novel Curcumin Mimics: Design, Synthesis, Biological Properties and Computational Studies of Piperidone‐Piperazine Conjugates
    MA Youssef, SS Panda, DR Aboshouk, MF Said, A El Taweel, M GabAllah, …
    2022

 

✅ Conclusion

Through her unwavering dedication to pharmaceutical chemistry, Dr. Said has carved out a meaningful role in academia and research. Her work not only advances scientific understanding but also nurtures future innovators in the field. With a strong foundation in both teaching and research, and a vision for multidisciplinary innovation, she is poised to continue making impactful contributions to drug discovery and pharmaceutical education in the years to come.

BaomanLi| Neuroanatomy | Best Researcher Award

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Prof. BaomanLi| Neuroanatomy| Best Researcher Award

Prof . Baoman Li, China Medical University, China.

Dr. Baoman Li is a distinguished neuroscientist and forensic toxicologist whose academic and professional journey spans advanced pharmacological research and impactful discoveries in brain science. With a Ph.D. from China Medical University and postdoctoral training in the U.S., he has built a career rooted in scientific excellence and innovation. His pioneering research—ranging from CSF transport mechanisms to neuronal excitability and circadian-based psychiatric models—has been published in leading journals. As a professor and department director, he also contributes through scholarly leadership, editorial work, and mentorship, strengthening the foundation of neuroglial and toxicological research

Profile

 

Early Academic Pursuits

Dr. Baoman Li’s academic journey began with a strong foundation in medical pharmacology, culminating in a Ph.D. from China Medical University. His early academic years were marked by a keen interest in the complex interactions between drugs and neural function, particularly within the central nervous system. Motivated by a curiosity about how neurochemical pathways influence behavior and mental health, Dr. Li pursued rigorous scientific training and research, laying the groundwork for a future at the forefront of forensic toxicology and neuropharmacology.

Professional Endeavors

Following his doctoral studies, Dr. Li expanded his academic horizons as a postdoctoral researcher at the University of Rochester Medical Center in the United States from 2013 to 2014. There, he collaborated on cross-disciplinary studies, refining his expertise in neurobiology and toxicological mechanisms. Returning to China, he assumed the role of Professor and Department Director of the Forensic Analytical Toxicology Department at China Medical University. In this position, he has led numerous high-impact research initiatives, while mentoring emerging scientists and guiding departmental development.

🧠 Contributions and Research Focus

Dr. Li’s research has contributed significantly to our understanding of the brain’s physiological and pathological processes. His recent studies have been particularly groundbreaking. He identified a previously unknown ependymal cell-mediated pathway responsible for transporting cerebrospinal fluid (CSF) from the central nervous system to peripheral organs, published in PNAS in 2024. Another major discovery, published in Cell Metabolism in 2025, revealed the role of the norepinephrine–free fatty acid–Na⁺/K⁺-ATPase axis in regulating neuronal hyperexcitability and behavioral arousal. Furthermore, his 2023 work in Molecular Psychiatry introduced a novel circadian disruption-induced manic mouse model, offering new tools for bipolar disorder research.

📚 Scholarly Contributions and Thought Leadership

Beyond laboratory discoveries, Dr. Li has demonstrated scholarly leadership through his editorial work on three comprehensive books focusing on neuroglial functions and dysfunctions. These editorial endeavors reflect his deep engagement with the academic community and his commitment to synthesizing and disseminating cutting-edge knowledge. His work bridges pharmacology, neuroscience, and psychiatry, reinforcing his reputation as a thought leader in the multidisciplinary domain of brain science and mental health.

🏅 Accolades and Recognition

Dr. Li’s scientific rigor and innovative research have earned him national and international recognition. His publications in high-impact journals have attracted attention from global neuroscientific communities, affirming the relevance and importance of his findings. As a respected academic, he frequently contributes to peer-reviewed journals and serves as a reviewer and collaborator across multiple institutions, further highlighting his expertise and integrity as a scientist.

🌍 Impact and Influence

Through his research, Dr. Li has had a significant impact on the fields of forensic toxicology, neuropharmacology, and psychiatric disorder modeling. His identification of critical neural pathways and behavioral mechanisms has implications for both clinical practice and basic science. His collaborative work continues to influence ongoing studies in neuroscience and mental health treatment strategies, and his mentorship of students ensures that his influence extends to future generations of researchers.

🔬 Legacy and Future Contributions

As Dr. Baoman Li continues his work, he remains committed to pushing the boundaries of forensic neuroscience and neuropharmacology. With a legacy rooted in innovation, academic excellence, and cross-disciplinary exploration, his future contributions are expected to further transform our understanding of brain function and disease. By integrating analytical toxicology with behavioral neuroscience, Dr. Li aims to develop novel diagnostic and therapeutic approaches that could benefit public health on a global scale.

🧾 Conclusion

Through decades of dedication, Dr. Baoman Li has emerged as a transformative figure in the intersecting fields of neuropharmacology, forensic toxicology, and psychiatric neuroscience. His work not only enhances scientific understanding but also opens new avenues for diagnosis and treatment of complex neurological and psychological disorders. As he continues to lead cutting-edge research and mentor the next generation, his influence will persist—shaping the future of brain health and forensic science across global academic and clinical landscapes.

Baoman Li | Neuroanatomy | Best Researcher Award

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Prof. Baoman Li | Neuroanatomy | Best Researcher Award

Prof. Baoman Li, China Medical University,  China.

Professor Baoman Li stands at the forefront of contemporary neuroscience and pharmacology, merging deep academic knowledge with impactful translational research. From his foundational training at China Medical University to his postdoctoral work in the United States, he has consistently demonstrated excellence in exploring the physiological and molecular mechanisms of the central nervous system. Currently a Professor and Department Director, his work has revealed novel insights into cerebrospinal fluid transport, neuronal excitability regulation, and bipolar disorder modeling. These discoveries have been featured in top-tier journals such as PNAS, Cell Metabolism, and Molecular Psychiatry.

Profile

Scopus

🎓 Early Academic Pursuits

Baoman Li’s journey into the world of biomedical science began with a strong academic foundation. He pursued his Ph.D. in Medical Pharmacology at China Medical University, where he cultivated a keen interest in the intersection of neuroscience, pharmacology, and toxicology. His early research provided him with an in-depth understanding of neural mechanisms and laid the groundwork for his future innovations. Eager to expand his international experience, he furthered his postdoctoral research at the University of Rochester Medical Center (USA) from 2013 to 2014, where he deepened his expertise in neuropharmacological research.

🧪 Professional Endeavors

Currently serving as a Professor and Department Director at the Forensic Analytical Toxicology Department of China Medical University, Professor Li leads a dynamic team of researchers and scholars. His leadership has not only enhanced academic standards within the department but has also positioned it as a center of excellence in the field of neuroglial research and forensic toxicology. His multidisciplinary approach merges analytical science with neuroscience, significantly advancing our understanding of central nervous system (CNS) function and dysfunction.

🧠 Contributions and Research Focus

Professor Li’s research focuses on cutting-edge discoveries related to neural mechanisms, cerebrospinal fluid dynamics, and neuropsychiatric disorders. One of his landmark studies, published in PNAS (2024), identified ependymal cell-mediated cerebrospinal fluid transport from the CNS to peripheral organs, revealing a critical physiological communication pathway. In another pivotal contribution in Cell Metabolism (2025), he elucidated the role of the NE-FFA-Na⁺/K⁺-ATPase pathway in regulating neuronal hyperexcitability and behavioral arousal. Moreover, his groundbreaking development of a circadian disruption-induced manic mouse model for bipolar disorder research (published in Molecular Psychiatry, 2023) has provided a valuable tool for studying mood disorders and developing new therapeutic approaches.

📚 Academic Publications and Editorial Work

With an impressive academic portfolio, Professor Li has authored and edited three influential books centered on neuroglial science, expanding the literature in this specialized domain. His published works include notable titles with ISBNs: 978-7-117-34321-3, 978-3-030-77375-5, and 978-2-88963-497-2. These contributions serve as essential resources for both emerging and seasoned neuroscientists, offering detailed insights into glial biology, neurochemical interactions, and translational research.

🏅 Accolades and Recognition

Professor Li’s scholarly excellence is widely recognized, as reflected in his H-index of 34 and a total citation count of 3,530 according to Web of Science. His ability to consistently produce high-impact research has made him a respected voice in neuroscience and pharmacology. He has successfully led eight research projects funded by prestigious bodies such as the Natural Science Foundation of China and the Ministry of Education, while also currently heading two additional projects supported by the provincial science foundation.

🤝 Industry and Consultancy Impact

Beyond academic circles, Professor Li has extended his expertise into practical applications through four consultancy projects, bridging the gap between research and real-world forensic or pharmaceutical needs. His ability to translate complex neuropharmacological findings into actionable insights for the industry underscores his role as not only a theorist but also a problem-solver and innovator.

🔬 Legacy and Future Contributions

As a scientist, educator, and leader, Professor Baoman Li continues to shape the future of neuroscience and pharmacological toxicology. His ongoing research and collaborative efforts are expected to yield further breakthroughs in understanding brain-behavior relationships and disease mechanisms. With a legacy already marked by innovation and impact, his future contributions promise to enhance diagnostics, treatments, and preventive strategies for neurological and psychiatric disorders. His commitment to mentoring young scholars and editing academic literature ensures that his influence will resonate across generations of researchers to come.

Publication

  • Title: Cerebrospinal Fluid Enters Peripheral Organs by Spinal Nerves Supporting Brain–Body Volume Transmission
    Authors: Li, Baoman; Xia, Maosheng; Harkany, Tibor; Verkhratsky, Alexei N.
    Year: Not specified (likely 2024 or 2025)

 

  • Title: Anti-seizure effects of norepinephrine-induced free fatty acid release
    Authors: Li, Baoman; Sun, Qian; Ding, Fengfei; Smith, Nathan A.; Nedergaard, Maiken
    Year: 2025
    Journal: Cell Metabolism

 

  • Title: Major depressive disorder: hypothesis, mechanism, prevention and treatment
    Authors: Cui, Lulu; Li, Shu; Wang, Siman; Xia, Maosheng; Li, Baoman
    Year: Not specified (likely 2024 or 2025)
    Type: Review (Open access)

 

  • Title: The periaxonal space as a conduit for cerebrospinal fluid flow to peripheral organs
    Authors: Li, Xinyu; Wang, Siman; Zhang, Dianjun; Xia, Maosheng; Li, Baoman
    Year: 2024
    Journal: Proceedings of the National Academy of Sciences of the USA (Open access)

 

  • Title: Dexmedetomidine improves the circulatory dysfunction of the glymphatic system induced by sevoflurane through the PI3K/AKT/ΔFosB/AQP4 pathway in young mice
    Authors: Wang, Shuying; Yu, Xiaojin; Cheng, Lili; Lu, Yan; Wu, Xu
    Year: 2024
    Journal: Cell Death and Disease (Open access)

 

  • Title: Ketamine administration causes cognitive impairment by destroying the circulation function of the glymphatic system
    Authors: Wu, Xue; Wen, Gehua; Yan, Lei; Lu, Yan; Wu, Xu
    Year: 2024
    Journal: Biomedicine and Pharmacotherapy (Open access)

 

  • Title: Correction to: Ketamine Improves the Glymphatic Pathway by Reducing the Pyroptosis of Hippocampal Astrocytes in the Chronic Unpredictable Mild Stress Model
    Authors: Wen, Gehua; Zhan, Xiaoni; Xu, Xiaoming; Lu, Yan; Wu, Xu
    Year: 2024
    Journal: Molecular Neurobiology (Erratum, Open access)

 

  • Title: Ketamine Improves the Glymphatic Pathway by Reducing the Pyroptosis of Hippocampal Astrocytes in the Chronic Unpredictable Mild Stress Model
    Authors: Wen, Gehua; Zhan, Xiaoni; Xu, Xiaoming; Lu, Yan; Wu, Xu
    Year: 2024
    Journal: Molecular Neurobiology

 

  • Title: Trace metals and astrocytes physiology and pathophysiology
    Authors: Li, Baoman; Yu, Weiyang; Verkhratsky, Alexei N.
    Year: 2024
    Journal: Cell Calcium

 

Conclusion:

Dr. Baoman Li is a strong and deserving candidate for the Best Researcher Award. His innovative research, publication in high-impact journals, and interdisciplinary contributions demonstrate excellence and sustained scientific productivity. While he can enhance his visibility and further define his leadership role, his current achievements are more than sufficient to merit this prestigious recognition.

 

Haoqiang Sun | Systems Neuroscience | Best Researcher Award

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Dr. Haoqiang Sun | Systems Neuroscience | Best Researcher Award

Dr. Haoqiang Sun, Xi’an Jiaotong University, School of Management, China.

Haoqiang Sun is an emerging scholar in Management Science and Engineering, currently pursuing his Ph.D. at Xi’an Jiaotong University, where he is exploring multimodal big data analysis and user-generated content. His academic journey began with a Bachelor’s degree in Information and Computing Science, followed by a Master’s in Resources and Environment. Throughout his studies, Haoqiang has demonstrated a keen interest in data analysis, which has led to his current focus on practical applications in tourism and business. In addition to his research, he serves as a teaching assistant, mentoring students in advanced statistical analysis. His work is funded by prominent national programs, highlighting his potential to make significant contributions to his field.

Profile

Google Scholar

Early Academic Pursuits 🎓

Haoqiang Sun’s academic journey began with a focus on Information and Computing Science, completing his Bachelor’s degree at Xi’an University of Science and Technology, where he achieved a GPA of 2.71/4.00 from 2016 to 2020. His early years as a student laid a strong foundation for his future research in management science and engineering, particularly in data analysis. During his time at Xi’an University, he honed his skills in data processing and computation, which would later shape his research trajectory. His academic curiosity and passion for problem-solving were evident as he progressed into his Master’s studies, earning an M.Sc. in Resources and Environment with a GPA of 3.07/4.00 from 2020 to 2023. These formative years provided him with a solid background in multidisciplinary studies, which were crucial in his later exploration of multimodal data analysis.

Academic Pursuits in Management Science and Engineering 📊

Currently, Haoqiang is a Ph.D. student at Xi’an Jiaotong University, specializing in Management Science and Engineering. Since September 2023, he has been working under the guidance of Professor Shaolong Sun, with an expected completion date of December 2026. His research interests focus on multimodal big data analysis and user-generated content, reflecting a deep interest in understanding the dynamics of digital data in real-world applications. Haoqiang’s academic performance is notable, with a GPA of 3.56/4.00, illustrating his dedication to mastering the complexities of management science. His ongoing research aims to bridge the gap between big data analytics and practical business applications, positioning him as a promising scholar in his field.

Professional Endeavors and Research Contributions 💼

Haoqiang Sun’s professional journey has been marked by his roles as both a researcher and a teaching assistant. As a research assistant at Xi’an Jiaotong University, he has been contributing to significant projects funded by both the National Key R&D Program for Young Scientists and the National Nature Science Foundation. His primary responsibilities involve literature reviews, data collection, and academic writing. These experiences allow him to explore cutting-edge research in multimodal big data analysis, particularly focusing on tourism-related data. Additionally, Haoqiang leads a research project, Multi-modal Data Mining and Analysis of Tourist Attractions (2025–2026), where he is tasked with applying data analytics to understand tourist demand at Xi’an’s popular tourist sites.

Teaching and Mentorship 🎓

In addition to his research, Haoqiang is also committed to the academic development of others. He serves as a full-time teaching assistant for the course Advanced Statistical Analysis at Xi’an Jiaotong University, a role he started in September 2024. As a teaching assistant, Haoqiang provides guidance on study strategies, addresses student queries, and helps foster a deeper understanding of statistical concepts. His work in this capacity reflects his passion for knowledge sharing and his dedication to helping fellow students navigate the complexities of advanced statistical methods, demonstrating his teaching aptitude and communication skills.

Research Focus and Innovation 🔍

Haoqiang’s research focuses on the intersection of multimodal big data analysis and user-generated content. His work is particularly relevant in today’s digital age, where vast amounts of data are produced by online users, and understanding these data flows can lead to meaningful insights for businesses and policymakers alike. His work in tourism, especially in analyzing tourist demand through multimodal data, demonstrates the practical applications of his research. By integrating data from multiple sources, including social media, reviews, and online platforms, Haoqiang seeks to optimize user experiences and improve decision-making processes in various sectors.

Accolades and Recognition 🏆

Despite being early in his academic career, Haoqiang has already earned recognition for his academic achievements. His research contributions, particularly in the realm of data analytics and management science, have positioned him as an emerging scholar with great potential. His supervisor, Professor Shaolong Sun, has commended his work for its rigor and innovation. Haoqiang’s research has been well-received in academic circles, and his involvement in prestigious projects funded by national scientific programs speaks to the quality and relevance of his work.

Future Contributions and Legacy 🌟

Looking ahead, Haoqiang Sun is poised to make significant contributions to the fields of data analysis and management science. His current research, which applies multimodal big data techniques to tourism and user-generated content, is just the beginning of what promises to be a fruitful academic career. Haoqiang’s work has the potential to influence not only the academic community but also industries like tourism, marketing, and data science, where insights into consumer behavior and user interactions are critical. As he continues to explore new methodologies and applications in data analytics, Haoqiang aims to leave a lasting legacy of innovation, bridging the gap between theory and practice in management science.

Publication

 

  • Experimental study on mechanical damage characteristics of water-bearing tar-rich coal under microwave radiation
    Authors: P Yang, P Shan, H Xu, J Chen, Z Li, H Sun
    Year: 2024

 

  • Numerical method for predicting and evaluating the stability of section coal pillars in underground longwall mining
    Authors: P Shan, H Sun, X Lai, J Dai, J Gao, P Yang, W Li, C Li, C Yan
    Year: 2022

 

  • Experiment on accurate identification of thermal image of coal-gangue mixture under a simulated dusky and wet condition
    Authors: SUNH SHAN Pengfei, LI Chenwei, LAI Xingping
    Year: 2024

 

  • Coal-rock interface perception and accurate recognition in heading face under coal dust environment based on machine vision
    Authors: Y ZHANG, L TONG, X LAI, S CAO, B YAN, Y LIU, H SUN, Y YANG, W HE
    Year: 2024

 

  • Evaluation of real-time perception of deformation state of host rocks in coal mine roadways in dusty environment
    Authors: P Shan, C Yan, X Lai, H Sun, C Li, X Chen
    Year: 2023

 

  • Let pictures speak: hotel selection-recommendation method with cognitive image attribute-enhanced knowledge graphs
    Authors: H Sun, H Xu, J Wu, S Sun, S Wang
    Year: 2024

 

  • Beyond Visual Appeal: The Impact of Multisensory Experience of Hotel Marketing and Review Images on Sales
    Authors: H Sun, H Xu, S Sun, H Li, S Wang
    Year: 2025

 

  • A research study of lightweight state perception algorithm based on improved YOLOv5s‐Tiny for fully mechanized top‐coal caving mining
    Authors: PF Shan, T Yang, XC Wu, HQ Sun
    Year: 2024

 

  • Mechanism of short-wall block backfill water-preserved mining based on water-conducting fractures development-heavy metal ions migration
    Authors: Y ZHANG, Y LIU, X LAI, T SONG, L ZHANG, H SUN, P WAN, R ZHAN
    Year: 2023

 

Conclusion

Haoqiang Sun’s academic and professional pursuits reflect his dedication to advancing the field of management science through the innovative use of big data analysis. With a strong foundation in both technical and applied research, he is well-positioned to impact industries like tourism, marketing, and business analytics. As he continues to develop his expertise, Haoqiang’s future contributions are expected to bridge the gap between theoretical research and practical applications, leaving a lasting influence on both academia and industry. His passion for research and teaching further ensures that his academic legacy will inspire future generations of scholars and professionals.

 

Chen Shoubin | Behavioral Neuroscience | Best Researcher Award

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Dr. Chen Shoubin | Behavioral Neuroscience | Best Researcher Award

Dr. Chen Shoubin, Shenzhen University,  China.

Dr. Shoubin Chen is a forward-thinking Research Fellow at the Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), affiliated with Shenzhen University. With a Ph.D. in Photogrammetry and Remote Sensing, his career has been rooted in the intersection of spatial intelligence, robotics, and AI. From leading national research projects to publishing in reputable journals and securing multiple invention patents, Dr. Chen has made substantial contributions to the field of embodied intelligent robotics. His research emphasizes multi-sensor fusion and autonomous mapping, aiming to give machines human-like spatial perception and decision-making capabilities.

Profile

Google Scholar

 

📚 Early Academic Pursuits

Shoubin Chen’s academic journey began with a strong foundation in geospatial sciences, culminating in a Ph.D. in Photogrammetry and Remote Sensing in 2020. This prestigious degree was awarded through a rigorous joint training program between Wuhan University and the Finnish Geospatial Research Institute. During his doctoral studies, he developed a deep interest in integrating advanced spatial data techniques with artificial intelligence, laying the groundwork for his future research endeavors. His early academic phase was marked by a commitment to cross-border scientific collaboration and multidisciplinary exploration, which has since defined his research approach.

🧑‍💻 Professional Endeavors

Currently serving as a Research Fellow and graduate supervisor at the Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen) and Shenzhen University, Dr. Chen plays a pivotal role in advancing embodied intelligence within the Spatial Intelligence Team. His responsibilities include mentoring postgraduate students, overseeing cutting-edge research, and steering major national and provincial scientific projects. He has contributed to several national-level initiatives, including two National Natural Science Foundation of China grants, support from the China Postdoctoral Science Foundation, and sub-projects under the National Key Research and Development Program. These experiences have sharpened his expertise in high-precision robotic mapping and autonomous navigation.

🤖 Contributions and Research Focus

Dr. Chen’s primary research focus lies in embodied intelligent robotics, with an emphasis on multi-sensor fusion, robotic perception, and spatial mapping technologies. He is recognized for integrating data from various sensing modalities to improve the autonomy and spatial awareness of robotic systems. His innovations aim to empower robots with human-like spatial understanding, allowing them to operate reliably in complex environments. This research direction is crucial for applications ranging from autonomous vehicles to intelligent service robots, contributing significantly to the frontier of AI-driven robotics.

🏅 Accolades and Recognition

Throughout his academic and professional career, Shoubin Chen has garnered considerable recognition for his scientific excellence. He has published nearly ten high-quality papers as either the first or corresponding author in SCI Q2 journals and CCF B-tier or higher conferences and journals. Moreover, he has applied for over ten invention patents, underscoring his commitment to both theoretical advancement and practical application. His reputation in the academic community is further highlighted by his service as a peer reviewer for prestigious platforms such as the IEEE Internet of Things Journal, Remote Sensing of Environment, IEEE Transactions on Intelligent Vehicles, and ICRA, one of the top robotics conferences globally.

🌐 Impact and Influence

Dr. Chen’s work has had a profound impact on the fields of AI, robotics, and spatial computing. His multi-disciplinary approach has influenced how robots understand and interact with their environments, offering transformative possibilities in smart cities, autonomous transport, and digital mapping. By fusing photogrammetry with robotics and AI, he has contributed to a new paradigm in spatial intelligence that bridges digital perception and physical action. His projects have not only generated academic outputs but have also driven technological innovations with potential for real-world deployment.

🌱 Legacy and Future Contributions

As a mentor, innovator, and research leader, Shoubin Chen continues to inspire the next generation of scientists and engineers in AI and robotics. His forward-looking vision involves deepening the integration of embodied intelligence with environmental understanding, enabling machines to collaborate more intuitively with humans. He is poised to expand his research to include human-robot interaction, sustainable urban intelligence, and smart sensing systems. With a growing portfolio of publications, patents, and mentorship experiences, his contributions are set to leave a lasting legacy in the development of intelligent systems that seamlessly bridge perception and action.

🔬 Vision in Artificial Intelligence and Robotics

Guided by a vision that combines spatial science with artificial cognition, Dr. Chen’s work embodies the future of AI-powered robotics. His pursuit of intelligent, context-aware robotic systems aligns with global goals in automation, smart infrastructure, and digital economy. As AI becomes increasingly pervasive in everyday life, his contributions are steering the technology toward safer, more efficient, and more interactive systems. Through continuous innovation and collaboration, he remains at the forefront of a transformative research frontier that blends engineering precision with visionary thinking.

Publication

  • Title: Exploring embodied multimodal large models: Development, datasets, and future directions
    Authors: S Chen, Z Wu, K Zhang, C Li, B Zhang, F Ma, FR Yu, Q Li
    Year: 2025

 

  • Title: Distributed Robust Communication-Efficient Multi-Robot SLAM Combining Real-Time Intersection and Historical Loop Constraints
    Authors: B Zhang, Z Xiong, J Qiu, S Chen, Y Hu, S Chen
    Year: 2025

 

  • Title: TextGeo-SLAM: A LiDAR SLAM With Text Semantics and Geometric Constraints-Based Loop Closure
    Authors: S Chen, C Li, Q Jiang, X Zhuang, B Zhang, B Zhou, Q Li
    Year: 2024

 

  • Title: ASL-SLAM: A LiDAR SLAM with activity semantics-based loop closure
    Authors: B Zhou, C Li, S Chen, D Xie, M Yu, Q Li
    Year: 2023

 

  • Title: Comparative analysis of SLAM algorithms for mechanical LiDAR and solid-state LiDAR
    Authors: B Zhou, D Xie, S Chen, H Mo, C Li, Q Li
    Year: 2023

 

  • Title: Research on SLAM based on LiDAR/visual fusion (LV-SLAM)
    Authors: C Shoubin
    Year: 2023

 

  • Title: Cooperative smartphone GNSS/PDR for pedestrian navigation
    Authors: C Jiang, Y Chen, C Chen, S Chen, Q Meng, Y Bo, J Hyyppa
    Year: 2022

 

  • Title: Indoor Attitude Estimation Using Equipped Gyroscopes and Depth Sensors
    Authors: Q Shi, Z Song, Z Xiao, S Chen, F Wang
    Year: 2022

 

  • Title: LI-SLAM: Fusing LiDAR and Infrared Camera for Simultaneous Localization and Mapping
    Authors: B Zhou, D Xie, S Chen, C Li, H Mo
    Year: 2022

 

  • Title: NDT-LOAM: A real-time LiDAR odometry and mapping with weighted NDT and LFA
    Authors: S Chen, H Ma, C Jiang, B Zhou, W Xue, Z Xiao, Q Li
    Year: 2021

 

✅ Conclusion

In conclusion, Dr. Shoubin Chen exhibits all the core qualities of a Best Researcher Award recipient: deep scientific insight, proven research leadership, strong publication and patent output, and a visionary approach to solving real-world problems through AI and robotics. While there are opportunities to grow his international footprint, his current accomplishments already place him among the leading young researchers in his field. Based on the evidence of impact, innovation, and research excellence, he is highly suitable for the Best Researcher Award.

Takeshi Sakurai | Neuroanatomy | Best Researcher Award

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Prof. Dr. Takeshi Sakurai | Neuroanatomy | Best Researcher Award

Prof. Dr. Takeshi Sakurai, University of Tsukuba, Japan.

Takeshi Sakurai, M.D., Ph.D., is a distinguished academic whose career spans across key positions in neuroscience, pharmacology, and integrative sleep medicine. After earning his M.D. and Ph.D. from the University of Tsukuba, he embarked on a journey of groundbreaking research, primarily focusing on neurotransmission and sleep regulation. Sakurai’s postdoctoral work in prestigious institutions, coupled with his leadership of major projects like the Yanagisawa Orphan Receptor Project, established him as a leader in molecular neuroscience. Over the years, he has earned recognition through accolades and significant academic positions, including his current role as Professor and Vice Director at the University of Tsukuba’s International Institute for Integrative Sleep Medicine. His research continues to shape the understanding of sleep and brain function, while his influence extends to mentoring the next generation of scientists.

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Early Academic Pursuits 📚


Takeshi Sakurai’s academic journey began with his medical studies at the University of Tsukuba, where he earned his M.D. in 1989. During his early years at the university, he developed a keen interest in the molecular mechanisms of biological systems. This curiosity led him to pursue a Ph.D. in medicine, which he completed in 1993. His doctoral research focused on the cloning of a cDNA encoding a non-isopetide-selective subtype of the endothelin receptor, a project that was published in Nature in 1990, marking the beginning of his significant contributions to molecular pharmacology.

Professional Endeavors 👨‍⚕️


Following his Ph.D., Sakurai embarked on a promising career in academic research, starting as a postdoctoral fellow at the Institute of Basic Medical Sciences in 1993. His career rapidly advanced as he took on various roles, including Assistant Professor at the same institute. During his tenure, he also worked as a postdoctoral fellow at the prestigious Howard Hughes Medical Institute at the University of Texas Southwestern Medical Center in Dallas from 1995 to 1996. These experiences broadened his expertise in pharmacology and molecular neuroscience, laying the foundation for his future academic leadership roles. By 1999, he became an Associate Professor at the University of Tsukuba and contributed significantly to the university’s research landscape.

Contributions and Research Focus 🧬


Sakurai’s research is primarily centered around molecular neuroscience, pharmacology, and integrative physiology. His work has been pivotal in advancing the understanding of biological systems and their regulation at the molecular level. Notably, his leadership of the Yanagisawa Orphan Receptor Project under the Exploratory Research for Advanced Technology (ERATO) of the Japan Science and Technology Corporation highlights his role in pioneering research on orphan receptors. His continued focus on the mechanisms of neurotransmission and their involvement in sleep regulation has earned him a place as a leading researcher in the field of integrative sleep medicine.

Accolades and Recognition 🏆


Throughout his career, Sakurai has earned widespread recognition for his contributions to medicine and neuroscience. His groundbreaking work on neurotransmitter systems and sleep regulation has led to his appointment as a Professor and Vice Director at the University of Tsukuba’s International Institute for Integrative Sleep Medicine. His research has not only shaped the scientific community’s understanding of brain function but also garnered him numerous accolades, further cementing his reputation as a thought leader in the field.

Impact and Influence 🌍


Sakurai’s impact extends far beyond his own research. As a professor, he has mentored countless students and researchers who have gone on to make their own significant contributions in the fields of neuroscience and pharmacology. His interdisciplinary approach to sleep medicine has influenced research on neurodegenerative diseases, mental health, and drug development. The work he has pioneered in molecular neuroscience has also paved the way for advances in treatment approaches for disorders related to sleep and neurotransmission, offering hope for improved therapeutic interventions.

Legacy and Future Contributions 🔬


Looking ahead, Sakurai’s legacy in neuroscience and integrative sleep medicine is poised to continue influencing both academic research and clinical practice. His innovative research on sleep regulation and the molecular mechanisms underpinning brain function will undoubtedly remain foundational in the future of both basic and applied medical sciences. As he continues his work at the University of Tsukuba, Sakurai’s future contributions will likely expand our understanding of the brain’s intricate systems and their broader implications for human health. His career exemplifies a dedication to advancing science, and his ongoing research promises to address critical challenges in medicine and health.

Academic Leadership and Mentorship 🎓


In addition to his personal research achievements, Sakurai’s role in academic leadership cannot be understated. As a professor at the University of Tsukuba, he has played a pivotal role in shaping the institution’s research direction and academic programs, particularly within the fields of integrative physiology and sleep medicine. His influence extends through the mentorship of students, guiding the next generation of researchers who will continue to build on his work. Sakurai’s commitment to education and his support for innovative research initiatives are key to his lasting impact on the academic and medical communities.

Publication

  • Orexins and orexin receptors: a family of hypothalamic neuropeptides and G protein-coupled receptors that regulate feeding behavior
    Authors: T Sakurai, A Amemiya, M Ishii, I Matsuzaki, RM Chemelli, H Tanaka, …
    Year: 1998

 

  • Cloning of a cDNA encoding a non-isopeptide-selective subtype of the endothelin receptor
    Authors: T Sakurai, M Yanagisawa, Y Takuwat, H Miyazakit, S Kimura, K Goto, …
    Year: 1990

 

  • Genetic ablation of orexin neurons in mice results in narcolepsy, hypophagia, and obesity
    Authors: J Hara, CT Beuckmann, T Nambu, JT Willie, RM Chemelli, CM Sinton, …
    Year: 2001

 

  • Autism genome-wide copy number variation reveals ubiquitin and neuronal genes
    Authors: JT Glessner, K Wang, G Cai, O Korvatska, CE Kim, S Wood, H Zhang, …
    Year: 2009

 

  • The neural circuit of orexin (hypocretin): maintaining sleep and wakefulness
    Author: T Sakurai
    Year: 2007

 

  • Distribution of orexin neurons in the adult rat brain
    Authors: T Nambu, T Sakurai, K Mizukami, Y Hosoya, M Yanagisawa, K Goto
    Year: 1999

 

  • Orexins, orexigenic hypothalamic peptides, interact with autonomic, neuroendocrine and neuroregulatory systems
    Authors: Y Date, Y Ueta, H Yamashita, H Yamaguchi, S Matsukura, K Kangawa, …
    Year: 1999

 

  • Hypothalamic orexin neurons regulate arousal according to energy balance in mice
    Authors: A Yamanaka, CT Beuckmann, JT Willie, J Hara, N Tsujino, M Mieda, …
    Year: 2003

 

  • Plastic stress-strain matrix and its application for the solution of elastic-plastic problems by the finite element method
    Authors: Y Yamada, N Yoshimura, T Sakurai
    Year: 1968

 

  • Chemically defined projections linking the mediobasal hypothalamus and the lateral hypothalamic area
    Authors: CF Elias, CB Saper, E Maratos‐Flier, NA Tritos, C Lee, J Kelly, JB Tatro, …
    Year: 1998

 

Conclusion


Takeshi Sakurai’s work has profoundly impacted the fields of neuroscience, pharmacology, and sleep medicine. His contributions have not only advanced scientific understanding but have also paved the way for practical applications in medical therapies. Through his leadership and mentorship, Sakurai’s legacy is set to endure, with his future research promising further advancements in understanding the complexities of the brain and its regulation. His dedication to advancing both science and education ensures that his influence will continue to resonate in academic and clinical circles for years to come.

 

Kiran Solingapuram Sai | Neuroimaging | Best Researcher Award

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Dr. Kiran Solingapuram Sai | Neuroimaging | Best Researcher Award

Dr. Kiran Solingapuram Sai, Wake Forest School of Medicine, United States.

Dr. Kiran K. Solingapuram Sai, PhD, is an Associate Professor with tenure in the Department of Radiology at Wake Forest School of Medicine. He holds a Ph.D. in Organic Chemistry from Northern Illinois University and has extensive research experience in radiopharmaceutical chemistry. His postdoctoral training at Washington University’s Mallinckrodt Institute of Radiology focused on radiotracer development.

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✨ Early Academic Pursuits

Dr. Kiran K. Solingapuram Sai embarked on his academic journey with a strong foundation in chemistry, earning a Bachelor of Science degree in Chemistry, Biochemistry, and Microbiology from Osmania University, Hyderabad, India, in 2001. His passion for organic chemistry led him to pursue a Master of Science in the same field at Osmania University, where he honed his expertise in chemical synthesis and molecular interactions. Determined to explore the depths of organic chemistry, he pursued his Ph.D. at Northern Illinois University, DeKalb, IL, under the mentorship of Dr. Douglas A. Klumpp. During this period, his research focused on synthetic methodologies and organic reaction mechanisms, paving the way for his future contributions to medicinal and radiopharmaceutical chemistry.

🌐 Professional Endeavors

Dr. Sai’s professional journey commenced with a prestigious postdoctoral research associate position at the Mallinckrodt Institute of Radiology at Washington University in St. Louis, MO, where he worked under the guidance of Dr. Robert H. Mach. During his tenure from 2010 to 2013, he delved into the complexities of radiochemistry, developing novel radiotracers and exploring their applications in medical imaging. This experience laid the groundwork for his career in radiopharmaceutical sciences. In 2014, he joined Wake Forest School of Medicine as a Research Instructor and Chief Radiochemist, marking the beginning of his significant contributions to translational imaging and radiopharmaceutical production.

⚛️ Contributions and Research Focus

At Wake Forest School of Medicine, Dr. Sai played a pivotal role in the Department of Radiology and the Clinical Translational Science Institute (CTSI). He specialized in managing clinical and research-based radiopharmaceutical production at the Wake Forest PET Research Center. As a cyclotron manager and coordinator, he oversaw the synthesis and quality control of radiotracers essential for PET imaging. His expertise extended to the development and implementation of cGMP-approved protocols for C-11 and F-18 radiopharmaceutical production, ensuring the highest standards of safety and efficacy. His research focuses on advancing PET imaging techniques, exploring new radiotracers for diagnostic and therapeutic applications, and improving imaging biomarker development.

🏆 Accolades and Recognition

Dr. Sai’s dedication to radiochemistry and molecular imaging has earned him recognition in the scientific community. His work has been instrumental in developing radiopharmaceuticals for neurological and oncological imaging, contributing significantly to early disease detection and targeted therapy. His contributions have been acknowledged through numerous research grants, collaborative projects, and publications in high-impact scientific journals. His commitment to excellence and innovation has positioned him as a leading figure in the field of radiopharmaceutical sciences.

🔬 Impact and Influence

Beyond his research and technical expertise, Dr. Sai has mentored budding scientists and researchers in the field of radiochemistry and imaging sciences. His guidance has helped shape the next generation of radiopharmaceutical experts, fostering a culture of innovation and scientific curiosity. His role in translational imaging programs has bridged the gap between basic research and clinical applications, directly impacting patient care by improving diagnostic imaging techniques.

💡 Legacy and Future Contributions

Dr. Sai’s work continues to inspire advancements in molecular imaging and radiopharmaceutical development. As an Associate Professor with tenure at Wake Forest School of Medicine, he remains dedicated to pushing the boundaries of radiochemistry, developing cutting-edge imaging agents, and enhancing the precision of diagnostic medicine. His legacy in the field is defined by his unwavering commitment to scientific discovery, translational research, and the continuous pursuit of excellence in radiopharmaceutical sciences.Dr. Kiran K. Solingapuram Sai’s contributions to the field of radiopharmaceutical chemistry stand as a testament to his dedication, innovation, and impact on medical imaging and healthcare. His journey from a passionate chemistry student to a distinguished professor and researcher highlights the transformative power of science in shaping the future of medicine.

 

Publication

  1. Radiation-induced brain injury in non-human primates: A dual tracer PET study with [11C]MPC-6827 and [11C]PiB

    • Authors: Naresh Damuka, George W. Schaaf, Mack Miller, Caleb Bradley, Bhuvanachandra Bhoopal, Ivan Krizan, Krishna K. Gollapelli, Christopher T. Whitlow, J. Mark Cline, Kiran K. Solingapuram Sai
    • Year: 2025

 

  1. The β-Secretase 1 Enzyme as a Novel Therapeutic Target for Prostate Cancer

    • Authors: Hilal A. Rather, Sameh Almousa, Ashish Kumar, Mitu Sharma, Isabel Pennington, Susy Kim, Yixin Su, Yangen He, Abdollah R. Ghara, Kiran Kumar Solingapuram Sai et al.
    • Year: 2023

 

  1. Development and Optimization of 11C-Labeled Radiotracers: A Review of the Modern Quality Control Design Process

    • Authors: Paul Josef Myburgh, Kiran Kumar Solingapuram Sai
    • Year: 2023

 

  1. Binding Parameters of [11C]MPC-6827, a Microtubule-Imaging PET Radiopharmaceutical in Rodents

    • Authors: Avinash H. Bansode, Bhuvanachandra Bhoopal, Krishna Kumar Gollapelli, Naresh Damuka, Ivan Krizan, Mack Miller, Suzanne Craft, Akiva Mintz, Kiran Kumar Solingapuram Sai
    • Year: 2023

 

  1. PET Imaging of [11C]MPC-6827, a Microtubule-Based Radiotracer in Non-Human Primate Brains

    • Authors: Naresh Damuka, Paul W. Czoty, Ashley T. Davis, Michael Nader, Susan H. Nader, Suzanne Craft, Shannon L. Macauley, Lindsey K. Galbo Thomma, Phillip M. Epperly, Christopher T. Whitlow et al.
    • Year: 2020

 

  1. One-pot synthesis of novel tert-butyl-4-substituted phenyl-1H-1,2,3-triazolo piperazine/piperidine carboxylates, potential GPR119 agonists

    • Authors: Nagaraju Bashetti, J.V. Shanmukha Kumar, Naresh Varma Seelam, B. Prasanna, Akiva Mintz, Naresh Damuka, Sriram Devanathan, Kiran Kumar Solingapuram Sai
    • Year: 2019

 

Conclusion

Dr. Kiran K. Solingapuram Sai has established himself as a leading expert in radiopharmaceutical sciences, contributing significantly to translational imaging research. His work in PET radiopharmaceutical production and quality assurance underscores his role in advancing medical imaging techniques. His academic and research contributions make him a valuable asset in the field of radiology and molecular imaging.

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.

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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.

 

 

Dahua Yu | EEG and FMRI | Best Researcher Award

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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.

 

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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.