Dongxing Yu | Cognitive Neuroscience | Research Excellence Award

Assoc. Prof. Dr. Dongxing Yu| Cognitive Neuroscience | Research Excellence Award

Assoc. Prof. Dr. Dongxing Yu | Sanda University | China

Dr. Yu Dongxing is an associate professor at the School of Education, Shanghai Sanda University, where he serves as Director of the Institute for Sustainable Development in Education and is a member of the China Democratic National Construction Association. He holds a Ph.D. in Literature with a focus on International Chinese Language Education and is an interdisciplinary scholar working at the intersection of linguistics, artificial intelligence, cognitive science, and educational innovation. His research spans International Chinese Language Education, AI in education, the Educational Metaverse, virtual reality–based learning, language policy and planning, and the integration of science and technology in the arts. He is widely recognized for pioneering the establishment of China’s first university-level Educational Metaverse platform and a VR Education Lab, advancing intelligent and immersive learning environments. Dr. Yu combines strong theoretical foundations with hands-on expertise in software development and institutional leadership to translate research into impactful educational practice. He has held visiting and training appointments at leading international institutions including Harvard University, the University of Regina in Canada, Aarhus University in Denmark, and the University of Illinois Urbana-Champaign, reflecting his global academic engagement and collaborative outlook. His scholarly output includes 14 research documents that have received 30 citations across 29 publications, with an h-index of 3, underscoring his growing influence in the fields of language education and educational technology.

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Featured Publications

Sidharth Mishra | Cognitive Neuroscience | Research Excellence Award

Dr. Sidharth Mishra | Cognitive Neuroscience | Research Excellence Award

Dr. Sidharth Mishra | University of South Florida | United States

Sidharth Prasad Mishra is a Postdoctoral Scholar Researcher at the USF Center of Microbiome Research and the Center of Excellence for Aging and Brain Repair, Department of Neurosurgery and Brain Repair, Morsani College of Medicine, University of South Florida, Tampa, USA, where his work focuses on the gut–brain axis, microbiome-driven mechanisms in aging, and translational neuroscience. He earned his Ph.D. in Animal Genetics and Breeding from the West Bengal University of Animal and Fishery Sciences through collaborative research with Wake Forest School of Medicine and USF, following an M.V.Sc. and B.V.Sc. in Animal Breeding and Genetics from OUAT, India. His research career spans roles as Postdoctoral Scholar, Associate in Research, and Research Assistant at leading U.S. medical institutions, reflecting a strong commitment to interdisciplinary biomedical science. Dr. Mishra possesses extensive expertise in wet-lab techniques, including cell culture, genomics, epigenomics, organoid and neurosphere models, immunoassays, and advanced sequencing, alongside comprehensive laboratory animal handling and behavioral neuroscience assays. He is also proficient in statistical analysis using R, SPSS, and bioinformatics tools for molecular modeling and interaction studies. His work has been widely recognized with multiple young scientist, poster, and travel awards, and he is a graduate of NSF I-Corps programs, underscoring his innovation-driven outlook. Dr. Mishra has authored 26 scientific documents, with over 1,270 citations and an h-index of 15, highlighting the impact of his contributions to microbiome research, aging, and brain repair, and he aspires to advance novel technologies that benefit human health and society.

Citation Metrics (Scopus)

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26

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Featured Publications

Suheyb Okur | Cognitive Neuroscience | Research Excellence Award

Mr. Suheyb Okur | Cognitive Neuroscience | Research Excellence Award

Mr. Suheyb Okur | Bayburt Universty | Turkey

Asst. Prof. Süheyb OKUR, Ph.D., is an academic at Bayburt University, Faculty of Theology, Department of Philosophy and Religious Studies, specializing in the Psychology of Religion. He was born in Medina, Saudi Arabia. His research focuses on psychology of religion, neurotheology (neuroscience of religion), Sufi psychology and Jungian analysis, spiritual counseling and care, and the recitation of the Qur’an and Qira’at studies. He earned his Ph.D. in Basic Islamic Sciences from Bayburt University with a dissertation examining the effects of Qur’anic recitation on cerebral CREB and cortisol responses within a neurotheological framework, supervised by Assoc. Prof. Yusuf Topyay and Assoc. Prof. Bülent Bayraktar. He also completed an M.A. in Basic Islamic Sciences at Hitit University, where his thesis compared the concept of kamal in Sufism with Jung’s individuation under the guidance of Prof. Dr. Ahmet Cahid Haksever, and an M.A. in Spiritual Care and Counseling from Ankara Social Sciences University. His undergraduate studies include degrees in Sociology from Anadolu University and Theology from Ondokuz Mayıs University. Before his current appointment, he served as a Lecturer in Qur’anic Recitation and Qira’at Studies at Bayburt University. Dr. Okur has published in international refereed journals indexed in SCI, SSCI, Scopus, and ESCI, with 5 documents, 5 citations, an h-index of 2, and an i10-index of 0, reflecting his growing impact at the intersection of neuroscience, spirituality, and Islamic studies

Citation Metrics (Google Scholar)

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5

Documents
5

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Featured Publications

Relationship Between Brain-Derived Neurotrophic Factor (BDNF) and Multiple Intelligence Profiles
– S. Reader, B. Bayraktar, American Journal of Psychiatric Rehabilitation, 28(3), 01–09, 2025

The Relationship Between Metacognitive Beliefs and Salivary Cortisol, BDNF, and NDNF Levels: A Cross‐Sectional Study
– S. Okur, B. Bayraktar, F. Tosun Köse, Brain and Behavior, 15(12), e71063, 2025

Kareem Al-Khalil | Cognitive Neuroscience | Best Researcher Award

Dr. Kareem Al-Khalil | Cognitive Neuroscience | Best Researcher Award

Dr. Kareem Al-Khalil | University of Wisconsin – Madison | United States

Kareem I. Al-Khalil is a Multimodal Imaging Scientist at the Institute on Aging, University of Wisconsin-Madison, with extensive expertise in human development, family sciences, and neuroscience. He earned his Ph.D. in Human Development & Family Sciences, focusing on differences in brain activation and connectivity among college students with varying mathematical abilities, and holds dual M.Sc. degrees in Psychology and Experimental Psychology, as well as a B.Sc. in Biology. His professional trajectory spans postdoctoral research and associate positions at Duke University School of Medicine and the Mind Research Network, where he contributed to understanding neurocognitive processes in psychiatric and behavioral contexts. He has also served as a research analyst, teaching assistant, and graduate instructor, gaining substantial experience in experimental design, psychometrics, and cognitive neuroscience. Al-Khalil’s research contributions include peer-reviewed publications on connectomics, brain network disruption in HIV and substance use, and structural connectivity alterations associated with chronic cannabis use. His work has garnered a total of 201 citations, with an h-index of 8 and an i10-index of 7, reflecting his influence in the fields of cognitive neuroscience and neuroimaging. Through his research, he advances understanding of brain function, network connectivity, and cognitive processes in health and disease, integrating behavioral science with multimodal imaging approaches.

Profiles: Google Scholar | Linked In

Featured Publications

Al-Khalil, K., Vakamudi, K., Witkiewitz, K., & Claus, E. D. (2021). Neural correlates of alcohol use disorder severity among nontreatment‐seeking heavy drinkers: An examination of the incentive salience and negative emotionality domains of the … Alcoholism: Clinical and Experimental Research, 45(6), 1200–1214.

Hou, J., Rajmohan, R., Fang, D., Kashfi, K., Al-Khalil, K., Yang, J., & Westney, W. (2017). Mirror neuron activation of musicians and non-musicians in response to motion captured piano performances. Brain and Cognition, 115, 47–55.

Niehuis, S., Reifman, A., Al-Khalil, K., Oldham, C. R., Fang, D., & O’Boyle, M. (2019). Functional magnetic resonance imaging activation in response to prompts of romantically disillusioning events. Personal Relationships, 26(2), 209–231.

Gonzales, J. U., James, C. R., Yang, H. S., Jensen, D., Atkins, L., & Thompson, B. J. (2016). Different cognitive functions discriminate gait performance in younger and older women: A pilot study. Gait & Posture, 50, 89–95.

Calderon-Delgado, L., Barrera-Valencia, M., Noriega, I., & Al-Khalil, K. (2020). Implicit processing of emotional words by children with post-traumatic stress disorder: An fMRI investigation. International Journal of Clinical and Health Psychology, 20(1), 46–53.

Noriega, I., Trejos-Castillo, E., Chae, Y., & Calderon-Delgado, L. (2021). Emotional memory processing in post‐traumatic stress disorder affected Colombian youth. International Journal of Psychology, 56(3), 387–393.

Kashfi, K., Al-Khalil, K., Hou, J., Fang, D., Anderson, R., Rajmohan, R., & Syapin, P. (2017). Hyper-brain connectivity in binge drinking college students: A diffusion tensor imaging study. Neurocase, 23(3–4), 179–186.

Kashfi, K., Fang, D., Hou, J., Al-Khalil, K., Anderson, R., Syapin, P. J., & O’Boyle, M. W. (2017). Spatial attention in binge-drinking and moderate-drinking college students: An fMRI investigation. Alcoholism Treatment Quarterly, 35(3), 260–278.

Swartz, M., Burton, F., Vakamudi, K., Al-Khalil, K., Witkiewitz, K., & Claus, E. D. (2021). Age dependent neural correlates of inhibition and control mechanisms in moderate to heavy drinkers. NeuroImage: Clinical, 32, 102875.

Chen Shoubin | Behavioral Neuroscience | Best Researcher Award

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.