Gang Cao | Behavioral Neuroscience | Best Researcher Award

Mr. Gang Cao | Behavioral Neuroscience | Best Researcher Award

Anhui University of Finance and Economics | China

Gang Cao (Ph.D.) is a Lecturer at the International Business School, Anhui University of Finance and Economics, with academic training in Business Administration and Management Science and Engineering from Shanghai University and Anhui University of Finance and Economics. His research focuses on AI capabilities, entrepreneurship, and innovation, and he has published in leading international journals such as the Journal of Business Research, Management and Organization Review, R&D Management, Plos One, and the International Journal of Conflict Management, as well as in top Chinese journals including Journal of Management Sciences in China and Journal of Economic Management. He has authored and co-authored multiple high-impact studies addressing themes such as entrepreneurial well-being, entrepreneurial failure and reentry, bricolage and disruptive innovation, digital identity change, impression management, and the integration of artificial intelligence with entrepreneurship and business model innovation. His work combines quantitative, qualitative, and computational methodologies, offering both theoretical contributions and practical insights into entrepreneurial behavior and firm evolution. Gang Cao has achieved an h-index of 5, with 11 documents and 102 citations, reflecting his growing academic impact and recognition in the fields of entrepreneurship, innovation management, and digital transformation. Through his interdisciplinary and collaborative research, he continues to advance understanding of the complex dynamics driving entrepreneurial success and organizational performance.

Profiles: Google Scholar

Featured Publications

“Exploring the relationship between entrepreneurial failure and conflict between work and family from the conservation of resources perspective.”

“Entrepreneurial Bricolage and Disruptive Innovation: The Joint Effect of Learning From Failure and Institutional voids.”

“Striking the balance: Configurations of causation and effectuation principles for SME performance.”

Anna Aragno | Evolutionary Neuroscience | Best Researcher Award

Dr. Anna Aragno | Evolutionary Neuroscience | Best Researcher Award

Dr. Anna Aragno | National Association for the Advancement of Psychoanalysis | Italy

Anna Aragno’s intellectual and professional journey reflects a remarkable blend of artistry and psychoanalytic scholarship. Beginning with a solid foundation in literature and the arts, she rose to prominence as a classical prima ballerina and educator before transitioning into psychology. Her academic path led her to advanced studies in psychoanalytic psychology, where she trained under leading scholars and completed significant clinical work. Her research has centered on the role of language, symbolization, and psychic transformation in psychoanalysis, offering innovative perspectives that bridge traditional theory with modern insights. In clinical practice, she has distinguished herself by working closely with creative and performing artists, providing a unique integration of artistic sensitivity and psychoanalytic depth. Her appointment as a Distinguished Scholar-in-Residence underscores the recognition of her contributions to psychoanalysis and her lasting influence on the field.

Profile

Scopus

Early Academic Pursuits

Anna Aragno began her education in Europe, where she studied in England and later at La Sorbonne in Paris, focusing on literature and the arts. Her formative years were marked by a deep engagement with culture, language, and creativity, which would later inform her psychoanalytic work. Her exposure to diverse academic traditions laid a foundation for her interdisciplinary approach, blending the humanities with psychology and psychoanalysis.

Professional Endeavors in the Arts

Before fully dedicating herself to psychoanalysis, she pursued a distinguished international career as a classical prima ballerina. As both a performer and teacher, she embodied artistic excellence and intellectual curiosity. She also lectured on ballet and movement, demonstrating her ability to integrate performance with pedagogy. This early immersion in the world of creativity and expression became a cornerstone of her later clinical focus on the psychology of artists and performers.

Transition to Psychoanalytic Studies

After her artistic career, she resumed academic study in psychology, earning degrees in human development and psychoanalytic psychology. Her graduate work included training with renowned scholars in metapsychology, behavioral biology, and narrative studies. She completed clinical internships in psychiatric hospitals, gaining direct experience in the complexities of mental health care. Her doctoral thesis proposed a new paradigm for symbolization, offering fresh insights into the psychoanalytic model of psychic transformation.

Contributions to Psychoanalysis and Research Focus

Her scholarship centers on the intersections of language, symbolism, and psychoanalysis. With a particular focus on processes of psychic transformation, she has sought to expand classical psychoanalytic theory through innovative models of symbolization. Her research reflects an interdisciplinary spirit, drawing on philosophy, linguistics, and clinical practice. She has also contributed significantly to the supervision of psychoanalytic practice, shaping future generations of clinicians through rigorous training and mentorship.

Clinical Practice and Specialization

For decades, she has maintained a private practice in New York City, specializing in the treatment of creative and performing artists. Her dual background in the arts and psychology uniquely equips her to address the psychological needs of individuals engaged in creative professions. Her clinical work embodies a fusion of sensitivity to artistic expression with the depth of psychoanalytic inquiry, establishing her as a specialist in the psychology of creativity.

Accolades and Recognition

Her contributions have been recognized through appointments and honors, most notably her designation as a Distinguished Scholar-in-Residence at the Washington Square Institute in New York City. This role reflects both her scholarly impact and her enduring commitment to advancing psychoanalytic thought. Her achievements illustrate a career that bridges artistic mastery and intellectual innovation.

Impact, Influence, and Legacy

Anna Aragno’s life work represents a rare synthesis of art and psychoanalysis. By uniting performance, pedagogy, and clinical scholarship, she has expanded the boundaries of psychoanalytic understanding. Her influence is felt through her clinical practice, her research on symbolization, and her teaching within psychoanalytic institutions. Her legacy lies in the depth of her theoretical contributions and the lives she has touched through clinical and academic engagement. As her career continues, her work promises to shape future dialogues on creativity, psychic transformation, and the evolving role of psychoanalysis in understanding human experience.

Publication

  • Title: Codes across (life)sciences

  • Authors: Robert Prinz; Philipp Bucher; Ádám Kun; Omar Paredes; Anna Aragno; Candice Shelby; Markus Gumbel; Elena Fimmel; Lutz Strüngmann

  • Year: 2025

Conclusion

Anna Aragno’s career demonstrates how the convergence of artistic excellence and rigorous scholarship can produce enduring contributions to human understanding. By linking creativity with psychoanalysis, she has enriched both fields, offering fresh perspectives on symbolization, psychic transformation, and the inner lives of artists. Her influence extends through her clinical work, her theoretical contributions, and her role as a mentor and scholar. Her legacy stands as a testament to the power of interdisciplinary inquiry and ensures that her ideas will continue to shape future explorations of the human psyche.

Baoman Li | Neuroanatomy | Best Researcher Award

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.

 

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.