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.

 

Daon Hwang | Clinical Neuroscience | Best Researcher Award

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Mr. Daon Hwang | Clinical Neuroscience | Best Researcher Award

Mr. Daon Hwang,  Depatment of Physical Therapy, Korea Natiional University of Transportation,  South Korea.

Daon Hwang is a dedicated physical therapist and Ph.D. candidate at Korea National University of Transportation, with a strong academic and clinical foundation in adult neurological rehabilitation. His research portfolio includes six completed projects and six peer-reviewed publications, focusing on stroke rehabilitation, gait analysis, neurorehabilitation, and assistive device development. With a practical background in clinical therapy and consulting experience in device usability, he effectively bridges the gap between research and real-world application. His active involvement in professional organizations further enriches his contributions to the rehabilitation field.

Profile

Orcid

🎓 Early Academic Pursuits

Daon Hwang began his academic journey with a deep interest in the human body and its recovery mechanisms, leading him to pursue a career in physical therapy. He earned both his Bachelor’s and Master’s degrees in Physical Therapy from Korea National University of Transportation (KNUT). His early academic years were marked by diligence and a curiosity-driven approach to the complexities of neurological rehabilitation. His strong academic performance and growing passion for evidence-based practice set the stage for his current doctoral research.

💼 Professional Endeavors

As a licensed physical therapist, Daon Hwang has accumulated meaningful clinical experience, particularly in the field of adult neurological rehabilitation. His hands-on work with stroke patients has fueled his commitment to integrating practical therapy with innovative research. His current role as a Ph.D. candidate at KNUT allows him to bridge clinical practice with academic exploration, where he also provides consultancy on assistive devices. Daon continues to evolve both as a practitioner and as a scholar in the rehabilitation sciences.

🧠 Contributions and Research Focus

Daon’s primary research focuses include stroke rehabilitation, neurorehabilitation, gait analysis, and the development of assistive technologies. He has successfully completed six research projects, exploring diverse aspects such as proprioceptive training and the usability of rehabilitation devices. His scholarly output includes six peer-reviewed journal publications—two in SCI-indexed journals and four in KCI-indexed journals. These works contribute to enhancing therapeutic protocols and improving patients’ functional outcomes, particularly in post-stroke recovery.

🧪 Research Innovation and Impact

Daon’s innovative contributions are evident in his work with assistive device usability, having collaborated on three industry consulting projects to improve device design and user experience for stroke patients. His research has not only advanced academic knowledge but also offered real-world applicability in clinical settings. His studies often highlight the integration of biomechanical analysis and rehabilitation techniques to create more personalized and effective interventions.

🏅 Accolades and Professional Involvement

While Daon Hwang has not yet published books or acquired patents, his membership in several esteemed professional bodies reflects his dedication to continued learning and contribution to the field. He is an active member of the Korean Academy of Orthopedic Manipulative Physical Therapy, the Korean Physical Therapy Association, and the Korea Proprioceptive Neuromuscular Facilitation Association. Through these affiliations, he stays at the forefront of developments in physical therapy and rehabilitation science.

🌍 Influence and Collaboration

Though he has not formally reported collaborative research projects, Daon’s consulting work and clinical partnerships demonstrate a growing sphere of influence. His findings are increasingly referenced by peers and practitioners, particularly in the areas of gait mechanics and neuro-motor rehabilitation. His dual role in academia and practice ensures his research remains grounded in clinical relevance.

🔮 Legacy and Future Contributions

Looking ahead, Daon Hwang aspires to further integrate technology with neurorehabilitation strategies, aiming to develop more efficient, adaptive tools for stroke survivors. His doctoral work and future post-doctoral goals center on refining rehabilitative methods through data-driven research and interdisciplinary collaboration. With a vision of contributing meaningfully to global rehabilitation science, Daon is poised to leave a lasting legacy of innovation, empathy, and excellence in physical therapy.

Publication

  • Title: Usability Test for an Over-Ground Walking Assistance Robotic Device Based on the Mecanum Wheel
    Authors: Daon Hwang; EunPyeong Choi; Ki Hun Cho
    Year: 2025

 

  • Title: Changes in Balance Ability, Physical Performance and Lower Extremity Proprioception according to the Compression Stockings in University Students
    Authors: Daon Hwang; Hyeong Gyu Kim; Na Young Kang; Eun Seo Park; Hyun Young Yoo; Jun Young Lee; Seo Yeong Jang; Cheol Woo Hwang; Ki Hun Cho
    Year: 2025

 

  • Title: Usability Test for a Cane-Combined Weight Support Feedback Device
    Authors: Daon Hwang; Ki Hun Cho
    Year: 2024

 

  • Title: Usability Test for Motion Tracking Gait Assistive Walker
    Authors: Daon Hwang; Ki Hun Cho
    Year: 2023

 

  • Title: The Effect of Mirror Therapy on the Balance, Gait and Motor Function in Patients with Subacute Stroke: A Pilot Study
    Authors: Min-Su Song; Soon-Hee Kang
    Year: 2021

 

  • Title: Effect of Mirror Therapy on the Balance, Gait and Motor Function in Patients with Subacute Stroke
    Authors: Min-Su Song; Soon-Hee Kang
    Year: 2021

 

✅ Conclusion

Driven by a passion for enhancing recovery outcomes in stroke patients, Daon Hwang has positioned himself as a promising scholar and practitioner in the field of physical therapy. His blend of academic rigor, clinical expertise, and innovation in assistive technologies reflects a career marked by meaningful impact and ongoing growth. As he advances toward completing his Ph.D., his work continues to shape the future of neurorehabilitation—promoting evidence-based practices and contributing to patient-centered healthcare innovations.

Abdullah Alghamdi | Emerging Areas in Neuroscience | Best Researcher Award

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Mr. Abdullah Alghamdi | Emerging Areas in Neuroscience | Best Researcher Award

Mr. Abdullah Alghamdi, University of Birmingham (UK) and Taibah University (Saudi Arabia),  United Kingdom.

Eng. Abdullah A. Zohaid (SMIEEE, SMIET) is an accomplished electrical engineer and academic with a specialization in Smart Power Systems, focusing on electric vehicles, AI-integrated transportation systems, and sustainable smart city infrastructure. With a solid educational foundation—earning distinctions at every academic level—he has seamlessly merged academic excellence with real-world engineering experience. From his early career at Saudi Aramco to his dual lecturing roles at Taibah University and the University of Birmingham, Abdullah has built a reputation as a forward-thinking researcher, educator, and strategist. His work bridges technical innovation with societal needs, aiming to optimize power grids and energy systems for a sustainable future.

Profile

Google Scholar

🎓 Early Academic Pursuits

From the historic city of Medina, Saudi Arabia, Eng. Abdullah A. Zohaid embarked on his academic journey in Electrical Engineering at Taibah University, where his talent and determination earned him distinction in his final project. His academic passion soon carried him to the United Kingdom, where he pursued an MSc in Electrical Power Systems at the University of Birmingham, graduating with First-Class Honors and distinction. Abdullah’s unwavering commitment to academic excellence continued as he embarked on a Ph.D. in Smart Power Systems at the same institution. Excelling in all areas, he has distinguished himself through both research prowess and scholastic achievement.

⚡ Professional Endeavors

Eng. Alghamdi has established himself as a dynamic professional straddling the worlds of academia and industry. His journey began with Saudi Aramco’s Dodsal Company, contributing to the vital 56″ Gas Pipeline project as an assistant electrical engineer. He transitioned into academia with his role as a Lecturer at Taibah University in Yanbu and later joined the University of Birmingham as a faculty member. Balancing dual academic roles in Saudi Arabia and the UK, Abdullah has developed a unique global perspective, blending practical engineering insight with cutting-edge educational delivery. His presence as an educator underscores his belief in empowering future engineers with real-world readiness.

🔬 Contributions and Research Focus

A scholar deeply embedded in the future of sustainable power, Eng. Alghamdi’s research focuses on Smart Power Systems, electric vehicles, smart charging infrastructures, and the integration of AI in intelligent transportation systems. Through his ongoing Ph.D. research, he explores how emerging technologies can enhance smart grid resilience and contribute to the development of smart cities. He utilizes advanced simulation and optimization tools such as MATLAB/SIMULINK, Python, and Gurobi, combined with machine learning techniques (ANN/CNN), to propose innovative solutions that address pressing energy challenges. His passion for sustainability is evident in his contributions to the global energy discourse, especially in urban mobility and decarbonization.

🏆 Accolades and Recognition

Eng. Zohaid’s career is adorned with recognition and academic milestones. His consistent distinction in every academic phase, including honors during both his MSc and Ph.D. studies, reflects a sustained trajectory of excellence. As a senior member of prestigious engineering bodies like IEEE and IET, and a certified Professional Engineer by the Saudi Council of Engineers, his credentials are a testament to his standing in the professional community. Furthermore, his publications in Q1 journals and contributions to leading international conferences validate the depth of his research and the quality of his scholarly communication.

🌍 Impact and Influence

With affiliations across IEEE working groups and university research circles, Eng. Alghamdi’s influence spans global academic and professional spheres. As a presenter and contributor at numerous high-level conferences — from the IEEE Power & Energy Society to Net Zero Futures and Saudi Innovation events — he has played a key role in shaping conversations on smart energy. His multidisciplinary expertise allows him to drive collaborations across AI, optimization, and power systems, impacting both policy and practice. His ability to simplify complex engineering concepts and communicate them effectively has enabled him to become a trusted voice among peers and students alike.

💡 Innovation and Strategic Vision

Abdullah’s strength lies in visionary thinking and strategic problem-solving. He doesn’t merely research problems—he crafts systems and strategies that reflect future-forward thinking. His approach to sustainable urban infrastructure blends technological acumen with strategic planning, leadership, and innovation. As an educator and researcher, he fosters environments that promote critical thinking and team-based innovation, cultivating the next generation of engineers equipped to face tomorrow’s challenges. His work on smart charging and intelligent transportation embodies the essence of transformative impact through design thinking and systems innovation.

🚀 Legacy and Future Contributions

Looking ahead, Eng. Abdullah A. Zohaid is poised to leave a lasting legacy in the realm of smart power systems and urban sustainability. His dual role as a lecturer and researcher gives him a powerful platform to shape both academic knowledge and real-world applications. With his continued focus on electrification, smart mobility, and AI-driven infrastructure, he is on track to influence policy, inspire innovation, and expand the boundaries of what is possible in modern power systems. His legacy will be defined not only by the technologies he helps build but also by the students and professionals he inspires along the way.

Publication

  • Innovative Prepositioning and Dispatching Schemes of Electric Vehicles for Smart Distribution Network Resiliency and Restoration
    AAM Alghamdi, D. Jayaweera, 2022

 

  • Resilience of Modern Power Distribution Networks with Active Coordination of EVs and Smart Restoration
    AAM Alghamdi, D. Jayaweera, 2023

 

  • Modelling Frameworks Applied in Smart Distribution Network Resiliency and Restoration
    AAM Alghamdi, D. Jayaweera, 2022

 

  • Resilience-Oriented Restoration in Modern Power Distribution Networks with Smart Electric Vehicles Coordination Framework
    A. Alghamdi, D. Jayaweera, 2023

 

  • Risk and Resilience Based Residential Electric Vehicle Integration Framework for Restoration of Modern Power Distribution Networks
    A. Alghamdi, D. Jayaweera, 2025

 

  • Electric Boats and Electric Vehicles Data-Driven Approach for Enhanced Resilience in Power Distribution Networks
    AAM Alghamdi, D. Jayaweera, 2025

 

✅ Conclusion

Eng. Alghamdi stands at the forefront of energy transformation, using research, innovation, and teaching as tools to drive meaningful change. His contributions reflect a blend of technical mastery and visionary leadership, enabling progress in smart mobility, clean energy, and intelligent infrastructure. With a growing portfolio of Q1 publications, prestigious memberships, and impactful conference roles, he continues to influence the field of electrical engineering on a global scale. As he advances in his career, his legacy will be marked by both technological advancements and the future minds he mentors—solidifying his role as a transformative figure in the evolution of smart power systems.

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.

 

VIKRAM SINGH KARDAM | Neuroinformatics | Best Researcher Award

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Mr. VIKRAM SINGH KARDAM | Neuroinformatics | Best Researcher Award

Mr. VIKRAM SINGH KARDAM, DTU DELHI, India.

Vikram Singh Kardam is a dedicated researcher and academician specializing in signal processing, currently pursuing his Ph.D. at Delhi Technological University (DTU). With a strong educational foundation, including an M.Tech in Signal Processing and Digital Design, and a B.Tech in Electronics and Communication Engineering, he has consistently demonstrated academic excellence. Vikram has diverse professional experience, having worked both in industry and academia, including roles as a Project Engineer and Assistant Professor. His innovative M.Tech thesis on real-time iris recognition highlights his ability to apply advanced concepts to practical challenges in biometric security. Proficient in multiple programming languages and known for his problem-solving attitude, he blends technical skill with teaching acumen, influencing students and peers alike. His GATE rank and contributions to student development further underscore his commitment to excellence in engineering and education.

Profile

Scopus

 

🎓 Early Academic Pursuits

Vikram Singh Kardam’s academic journey began with a solid foundation in science and technology. He completed his 10th and 12th education from Government Inter College, Agra, achieving commendable marks that laid the groundwork for his future in engineering. His higher education commenced at the University Institute of Engineering and Technology, CSJM University, Kanpur, where he earned his Bachelor of Technology in Electronics and Communication Engineering in 2007 with a respectable score of 73.2%. Driven by a passion for advanced studies, he pursued a Master of Technology in Signal Processing and Digital Design from Delhi Technological University (DTU), securing a CGPA of 8.06 in 2017. His academic path reflects not only consistent effort but also a dedication to the field of signal processing.

🧑‍🏫 Professional Endeavors

Vikram embarked on his professional career with diverse roles that bridged academia and industry. He served as a Project Engineer at ITI Limited, Delhi, and as a Lab Engineer at Dayalbagh Engineering College, Agra, gaining hands-on experience in real-world engineering environments. His passion for teaching led him to academia, where he worked as an Assistant Professor in reputed institutions such as Galgotias College of Engineering and Technology, Greater Noida, and HMR Institute of Technology and Management, Delhi. With around three years of cumulative teaching experience, he has imparted theoretical knowledge and practical insights in Electronics and Communication Engineering, contributing to the academic development of numerous students.

🔬 Contributions and Research Focus

Currently pursuing his Ph.D. in Signal Processing at Delhi Technological University, Vikram Singh Kardam’s research delves into the intricacies of digital signal processing with real-world applications. His M.Tech thesis, titled “Real Time Iris Recognition”, showcases his innovation in biometric security systems. By integrating iris recognition with eye-blinking detection using a basic webcam, he proposed a novel, low-cost, and more secure method for identity verification. The system’s robustness and its resistance to hacking highlight his ability to merge theoretical concepts with practical utility. His fluency in programming languages such as MATLAB, C, C++, and Python3 supports his technical versatility in algorithm development and simulation.

🏅 Accolades and Recognition

A noteworthy milestone in Vikram’s academic journey is securing an All India Rank of 5334 in the GATE 2021 examination in Electronics and Communication Engineering. This national-level achievement is a testament to his strong grasp of core concepts and problem-solving acumen. Additionally, his academic performances during B.Tech and M.Tech reflect sustained excellence. His thesis project, recognized for its practical application and innovative approach, further enhances his academic reputation.

📚 Impact and Influence

In his role as an Assistant Professor, Vikram Singh Kardam has significantly influenced his students’ academic and professional growth. His commitment to regularly conducting lectures, his focus on ensuring student understanding, and his hands-on approach to lab sessions highlight his dedication to holistic teaching. Beyond knowledge delivery, his empathetic and analytical mindset enables him to mentor students, offer academic guidance, and solve problems effectively. His ability to integrate teaching with research creates an inspiring learning environment.

🌐 Legacy and Future Contributions

Looking forward, Vikram aspires to contribute to both academia and industry through innovative research in signal processing, embedded systems, and biometric technology. His current Ph.D. pursuits are expected to yield impactful contributions to the scientific community, particularly in the areas of real-time data analysis and secure identification systems. With a forward-thinking vision, he aims to blend educational excellence with technological advancement, fostering a new generation of engineers equipped with both critical thinking and creative problem-solving skills.

🧠 Vision and Intellect

At the core of Vikram Singh Kardam’s career is a mindset defined by curiosity, dedication, and the pursuit of knowledge. A quick learner and an effective communicator, he embodies the spirit of modern engineering – adaptive, analytical, and collaborative. His ability to learn and implement complex systems, along with his respect for students and colleagues, reflects not just technical competence but also emotional intelligence. As a lifelong learner and educator, he is poised to make enduring contributions in signal processing and beyond.

Publication

  • Title: BSPKTM-SIFE-WST: Bispectrum based channel selection using set-based-integer-coded fuzzy granular evolutionary algorithm and wavelet scattering transform for motor imagery EEG classification

  • Authors: V.S. Kardam, S. Taran, A. Pandey

  • Year: 2025

 

 

✅ Conclusion

Vikram Singh Kardam stands out as a promising scholar and educator in the field of signal processing. His journey reflects a balance of theoretical rigor, practical implementation, and a passion for continuous learning. With a future-oriented mindset, he is poised to make meaningful contributions to biometric systems, digital design, and the broader engineering community. As he advances through his doctoral research and professional engagements, Vikram’s legacy is one of innovation, dedication, and impactful mentorship in the evolving landscape of technology and education.

Alex Armstrong | Systems Neuroscience | Young Scientist Award

Published on by Neuroscientists

Mr. Alex Armstrong | Systems Neuroscience | Young Scientist Award

Mr. Alex Armstrong, University of Illinois, Urbana-Champaign, United States.

Alex Armstrong is an emerging leader in the field of systems neuroscience with a rich academic background and a global research footprint. Starting with a strong foundation in pharmacology from the University of Manchester and early research experience in China, he has built an interdisciplinary career that bridges experimental, computational, and translational neuroscience. His Ph.D. work at the University of Illinois Urbana-Champaign, under the guidance of Prof. Yurii Vlasov, focuses on the neural mechanisms of perceptual decision-making using innovative tools like tactile virtual reality and localized lesioning techniques. He has also played integral roles in teaching, mentoring, and collaborative NIH-funded research involving cutting-edge neural probes. His contributions span from fundamental neuroscience to neuroengineering, with multiple international presentations and a growing reputation in both academic and applied research communities.

Profile

Google Scholar

🎓 Early Academic Pursuits

Alex Armstrong’s journey into the world of neuroscience began with a strong academic foundation in Pharmacology at the University of Manchester, where he earned a BSc (Honors) degree in 2017. During his undergraduate studies, he delved into the neural effects of psychoactive substances, leading a research project examining the influence of various drugs on receptive fields in the rat lateral geniculate nucleus. His academic curiosity was not confined to the lab; Alex actively mentored disadvantaged youth in science and mathematics through the CityWise charity, demonstrating an early commitment to both education and societal impact. His academic appetite took a global turn when he received a competitive scholarship to Nanjing Medical University in China. There, he shadowed urologists and contributed to prostate cancer research by processing tumor samples and supporting manuscript preparation under the mentorship of Dr. Jian Lin. This early immersion into translational research laid the groundwork for his future endeavors in systems neuroscience.

🧠 Research Focus and Innovation

Currently pursuing his Ph.D. at the University of Illinois Urbana-Champaign, Alex Armstrong is at the forefront of neuroscience research under the mentorship of Professor Yurii Vlasov, a member of the National Academy of Engineering. His research seeks to unravel the neural underpinnings of perceptual decision-making using advanced technologies. Alex has pioneered the development of a novel tactile virtual reality system tailored for mice, enabling precise behavioral and neural investigations in ecologically valid scenarios. His contributions also include designing a localized lesioning technique to dissect the causal roles of specific cortical regions with unmatched spatial and temporal resolution. This work reflects his deep integration of behavior, electrophysiology, histology, and computational modeling — a rare confluence of skills that pushes the boundaries of systems neuroscience.

🔬 Professional Endeavors and Laboratory Leadership

Alex’s career includes impactful positions across globally renowned institutions. Prior to his doctoral studies, he served as a Research Technician at University College London, working in auditory neuroscience labs with PIs Jennifer Linden and Nicholas Lesica. There, he independently managed experiments related to auditory perception and hearing aid technology, leading both behavioral training and neural recordings. At UIUC, his laboratory involvement extends beyond individual research: he performs surgeries, manages mouse colonies, trains new graduate and undergraduate researchers, and leads collaborative NIH-funded projects investigating simultaneous electrical and chemical neural activity during seizures. Alex is a dependable pillar in the lab, bridging experiment and innovation through hands-on mentorship and project leadership.

🏆 Accolades and Recognition

Alex’s academic and scientific contributions have been recognized at multiple levels. He has presented his work through nine conference talks and poster presentations at premier forums including Barrels, the Society for Neuroscience, and AREADNE between 2021 and 2024. His visibility within the academic community extends to teaching, where he was entrusted as a Teaching Assistant for the competitive Neural Interface Engineering course (ECE421) in 2024 and 2025, guiding over 50 students through workshops, lessons, and exam reviews. His role on the UIUC neuroscience seminar committee in 2022 further demonstrated his leadership in promoting interdisciplinary dialogue, as he invited top neuroscientists from across the world to contribute to the university’s vibrant intellectual atmosphere.

🧪 Scientific Contributions and Methodological Advancements

One of Alex Armstrong’s most significant contributions lies in his ability to blend experimental neuroscience with computational modeling. His proficiency spans advanced analytical methods including Generalized Linear Models (GLM), Drift Diffusion Models (DDM), Dimensionality Reduction, and DyNetCP, positioning him at the intersection of theory and practice. His work not only provides high-resolution insights into brain function but also informs the design of next-generation neural interface devices. His leadership in testing novel neural probes capable of simultaneously recording both electrical and chemical signals underlines his commitment to tool development in neuroscience — a field critical to brain–machine interface technologies and precision neuromodulation.

🌍 Impact and Influence

Alex Armstrong’s research has both immediate and long-term scientific value. By enhancing our understanding of the cortical mechanisms underlying decision-making, his work informs the broader fields of psychology, cognitive science, and artificial intelligence. His contributions to probe testing during seizure dynamics have implications for epilepsy research, potentially opening doors for better diagnostics and treatment strategies. Furthermore, his global academic experience — spanning the U.K., U.S., and China — contributes to his inclusive scientific perspective and ability to work across cultural and institutional boundaries. He has not only advanced science but also nurtured future researchers through consistent mentoring and training roles.

🚀 Legacy and Future Contributions

Looking ahead, Alex Armstrong is poised to become a leading figure in systems neuroscience, particularly in decoding the neural basis of cognition and behavior. With a solid foundation in experimentation, programming, and tool development, he is uniquely equipped to tackle the grand challenges of brain science in the 21st century. His efforts are steadily laying a legacy of open, interdisciplinary research, bridging the biological and engineering aspects of neuroscience. Whether through innovative VR paradigms for animal behavior, high-density probe validation, or collaborative research across continents, Alex continues to pave the way for future breakthroughs in understanding the human brain.

Publication

  • Title: Targeting AXL overcomes resistance to docetaxel therapy in advanced prostate cancer
    Authors: JZ Lin, ZJ Wang, W De, M Zheng, WZ Xu, HF Wu, A Armstrong, JG Zhu
    Year: 2017

 

  • Title: Compression and amplification algorithms in hearing aids impair the selectivity of neural responses to speech
    Authors: AG Armstrong, CC Lam, S Sabesan, NA Lesica
    Year: 2022

 

  • Title: The hearing aid dilemma: amplification, compression, and distortion of the neural code
    Authors: A Armstrong, CC Lam, S Sabesan, NA Lesica
    Year: 2020

 

  • Title: Nonlinear sensitivity to acoustic context is a stable feature of neuronal responses to complex sounds in auditory cortex of awake mice
    Authors: M Akritas, AG Armstrong, JM Lebert, AF Meyer, M Sahani, JF Linden
    Year: 2024

 

  • Title: Contextual modulation is a stable feature of the neural code in auditory cortex of awake mice
    Authors: M Akritas, AG Armstrong, JM Lebert, AF Meyer, M Sahani, JF Linden
    Year: 2023

 

  • Title: Neuropeptides in the Extracellular Space of the Mouse Cortex Measured by Nanodialysis Probe Coupled with LC-MS
    Authors: K Li, W Shi, Y Tan, Y Ding, A Armstrong, Y Vlasov, J Sweedler
    Year: 2025

 

  • Title: Neural correlates of perceptual decision making in primary somatosensory cortex
    Authors: A Armstrong, Y Vlasov
    Year: 2025

 

  • Title: Perceptual decision-making during whisker-guided navigation causally depends on a single cortical barrel column
    Authors: AG Armstrong, Y Vlasov
    Year: 2025

 

 

✅ Conclusion

Alex Armstrong exemplifies the next generation of neuroscientists—technically skilled, globally experienced, and intellectually versatile. His ability to merge behavioral neuroscience with advanced computational tools and engineering innovations positions him at the forefront of brain research. As he continues to contribute to our understanding of neural dynamics and brain–machine interfaces, Alex is set to leave a lasting impact on neuroscience and its applications in medicine and technology. His trajectory reflects not just scientific excellence, but also a commitment to mentorship, interdisciplinary collaboration, and innovation-driven discovery.

Aiying Zhang | Computational Neuroscience | Best Researcher Award

Published on by Neuroscientists

Assist. Prof. Dr. Aiying Zhang | Computational Neuroscience | Best Researcher Award

Assist. Prof. Dr. Aiying Zhang, University of Virginia, United States.

Dr. Aiying Zhang is a rising scholar in the field of mental health data science, currently serving as an Assistant Professor at the University of Virginia and a Faculty Member at the UVA Brain Institute. Her academic foundation spans statistics, biomedical engineering, and clinical biostatistics, acquired from esteemed institutions including USTC, Tulane University, and Columbia University. Her research focuses on developing advanced computational and statistical tools—such as graphical models and multimodal fusion—to decode complex brain data from imaging and genetics. She applies these innovations to better understand and predict psychiatric conditions such as schizophrenia and Alzheimer’s disease. Her work is distinguished by its interdisciplinary nature, translational relevance, and potential to reshape clinical approaches to mental health.

Profile

Google Scholar

 

🎓 Early Academic Pursuits

Aiying Zhang’s journey into the realm of data science and mental health research began with a strong foundation in quantitative sciences. She earned her Bachelor of Science degree in Statistics from the prestigious School for the Gifted Young at the University of Science and Technology of China (USTC) in 2014. Driven by a passion for biomedical innovation and its intersection with human health, she pursued a Ph.D. in Biomedical Engineering from Tulane University, which she completed in 2021. Her graduate years were marked by deep inquiry into statistical modeling and neuroimaging, laying the groundwork for her later interdisciplinary research. She further honed her expertise through postdoctoral training in Clinical Biostatistics and Psychiatry at Columbia University Irving Medical Center, where she blended statistical rigor with clinical insight.

💼 Professional Endeavors

Dr. Zhang is currently an Assistant Professor of Data Science at the University of Virginia, where she has been on the tenure-track faculty since August 2023. She also holds a concurrent position as a Faculty Member at the UVA Brain Institute, underscoring her active role in advancing brain research across institutional boundaries. Prior to her academic appointment at UVA, she served as a Research Scientist II at the New York State Psychiatric Institute, contributing to high-impact psychiatric research. Her professional journey also includes research assistantships at Tulane University and the University of Florida, roles in which she cultivated strong collaborative and translational research skills.

🧠 Contributions and Research Focus

Dr. Zhang’s research lies at the intersection of data science, neuroscience, and mental health. She specializes in developing advanced statistical and computational methodologies to investigate the biological underpinnings of psychiatric and neurodevelopmental disorders. Her work prominently features the use of graphical models—both directed and undirected—and machine learning techniques to analyze complex datasets, such as MRI, DTI, fMRI, MEG, and various genomic modalities including SNP and DNA methylation. Her research has contributed to a deeper understanding of conditions like schizophrenia, Alzheimer’s disease, obsessive-compulsive disorder, and anxiety disorders, through the lens of multimodal data fusion and integrative neurogenetics.

🧪 Innovation in Mental Health Data Science

A distinctive hallmark of Dr. Zhang’s scholarship is her innovative application of multimodal fusion techniques to disentangle the complexities of typical and atypical brain development. Her work leverages high-dimensional neuroimaging and genetic data to draw meaningful inferences about mental health trajectories. She is particularly focused on building interpretable models that bridge the gap between data and clinical insight, thereby enabling earlier and more precise diagnostics. By combining machine learning with biomedical expertise, her contributions pave the way for next-generation tools in psychiatry and neuroscience.

🏅 Accolades and Recognition

Throughout her academic and professional trajectory, Dr. Zhang has earned widespread respect for her analytical acumen and interdisciplinary collaborations. Her postdoctoral role at Columbia, a hub for clinical psychiatry and biostatistics, positioned her among leaders in the field and enriched her research portfolio with translational applications. Her selection as faculty at a leading institution like UVA further reflects recognition of her scholarly excellence and her potential to drive future innovations in mental health data science.

🌍 Impact and Influence

Dr. Zhang’s work has significant implications for both the scientific community and clinical practice. Her methods empower researchers and clinicians alike to draw meaningful patterns from multimodal datasets, thereby advancing precision psychiatry. Moreover, her collaborative efforts across biomedical engineering, statistics, and clinical disciplines have fostered integrative frameworks that extend beyond academic settings into real-world applications. Her contributions are helping to shape a more data-driven and personalized future in mental health care.

🔮 Legacy and Future Contributions

As she continues her academic journey, Dr. Zhang aims to expand her research frontiers by exploring dynamic brain-behavior associations and improving the interpretability of AI models in clinical contexts. With a commitment to mentorship and open science, she is building a legacy rooted in intellectual rigor, innovation, and societal relevance. Her future contributions are expected to not only deepen our understanding of mental health disorders but also inspire a new generation of data scientists dedicated to neuroscience and human well-being.

Publication

  • Leverage multimodal neuro-imaging and genetics to identify causal relationship between structural and functional connectivity and ADHD with Mendelian randomization
    C Ji, S Lee, S Sequeira, J Jin, A Zhang — 2025

 

  • Integrated brain connectivity analysis with fmri, dti, and smri powered by interpretable graph neural networks
    G Qu, Z Zhou, VD Calhoun, A Zhang, YP Wang — 2025

 

  • Altered hierarchical rank in intrinsic neural time-scales in autism spectrum disorder
    A Solomon, W Yu, J Rasero, A Zhang — 2025

 

  • A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
    Y Zhang, L Wang, KJ Su, A Zhang, H Zhu, X Liu, H Shen, VD Calhoun, … — 2025

 

  • A Novel GNN Framework Integrating Neuroimaging and Behavioral Information to Understand Adolescent Psychiatric Disorders
    W Yu, G Qu, Y Kim, L Xu, A Zhang — 2025

 

  • A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence
    A Zhang, G Zhang, B Cai, TW Wilson, JM Stephen, VD Calhoun, YP Wang — 2024

 

  • Exploring hierarchical gradients of intrinsic neural timescales in mild cognitive impairment and Alzheimer’s disease
    A Zhang, K Wengler, X Zhu, G Horga, TE Goldberg, S Lee — 2024

 

  • Time‐varying dynamic Bayesian network learning for an fMRI study of emotion processing
    L Sun, A Zhang, F Liang — 2024

 

  • Altered hierarchical gradients of intrinsic neural timescales in mild cognitive impairment and Alzheimer’s disease
    A Zhang, K Wengler, X Zhu, G Horga, TE Goldberg, S Lee, … — 2024

 

  • Associations Between Brain Connectivity and Psychiatric Symptoms in Children: Insights into Adolescent Mental Health
    D Mutu, K Ji, X He, S Lee, S Sequeira, A Zhang — 2024

 

🧾 Conclusion

Dr. Zhang’s journey exemplifies a seamless integration of data science and neuroscience to address pressing mental health challenges. Her innovative use of multimodal data and machine learning not only contributes to scientific advancement but also enhances real-world clinical decision-making. As she continues to pioneer research at the intersection of computation and psychiatry, her influence is poised to grow, shaping the future of precision mental health care and empowering both academia and clinical practice through data-driven insights.

 

Che Ping Cheng | Translational Neuroscience | Best Researcher Award

Published on by Neuroscientists

Prof. Che Ping Cheng | Translational Neuroscience | Best Researcher Award

Prof. Che Ping Cheng, Wake Forest University School of Medicine, United States.

Dr. Che Ping Cheng, M.D., Ph.D., FAHA, is a distinguished cardiovascular physiologist and internal medicine specialist whose career has been dedicated to advancing the understanding of heart function and failure. From earning his medical degree in China to completing a Ph.D. in Physiology at Wayne State University, and later conducting pivotal postdoctoral research at Wake Forest School of Medicine, Dr. Cheng has consistently pursued excellence in science and education. His research on ventricular mechanics, volume loading, and heart failure has significantly influenced both experimental cardiology and clinical practice. Recognized as a Fellow of the American Heart Association, he is also a dedicated mentor, shaping the next generation of cardiovascular researchers through his academic leadership.

Profile

Scopus

 

🎓 Early Academic Pursuits

Dr. Che Ping Cheng’s journey into medicine and science began in Nanjing, China, where he earned his M.D. degree from Nanjing Railway Medical University in 1977. His early academic path reflected a deep interest in understanding the intricacies of human health, particularly in cardiovascular physiology. Driven by a desire to expand his knowledge and research capabilities, Dr. Cheng pursued his Ph.D. in Physiology at Wayne State University School of Medicine in Detroit, Michigan, completing his degree in 1986. Under the mentorship of Dr. Robert S. Shepard, his doctoral work focused on exploring the mechanisms of cardiovascular response to volume loading in a canine model with tricuspid valvulectomy, setting a strong foundation for his lifelong focus on heart function and disease mechanisms.

🩺 Professional Endeavors

Following his academic training, Dr. Cheng embarked on postdoctoral studies at the Bowman Gray School of Medicine (now part of Wake Forest School of Medicine), where he continued to cultivate his expertise in internal medicine and cardiovascular physiology. Between 1986 and 1988, he served as a Postdoctoral Fellow under the guidance of Dr. William C. Little. His research during this period focused on ventricular dynamics and the physiological factors affecting active ventricular filling, which would later inform his broader work on heart failure and cardiac function. Dr. Cheng has since remained at Wake Forest School of Medicine, where he is currently a distinguished member of the Section on Cardiovascular Medicine.

🧪 Contributions and Research Focus

Dr. Cheng’s career has been characterized by a deep commitment to advancing the understanding of cardiac hemodynamics, ventricular interaction, and heart failure mechanisms. His research has explored how ventricular function responds under altered physiological states, and how these responses inform disease progression and treatment strategies. His early animal model studies have provided critical insights into the interplay between structural and functional changes in the heart, especially in the context of diastolic dysfunction and volume overload conditions. Dr. Cheng has also made significant strides in translating these findings to clinical contexts, influencing how cardiologists approach diagnosis and therapy.

🏅 Accolades and Recognition

Throughout his career, Dr. Cheng has received considerable recognition for his scholarly contributions. He is a Fellow of the American Heart Association (FAHA), an honor that reflects his standing in the field of cardiovascular research and his commitment to scientific excellence. His work has earned the respect of colleagues and institutions alike, leading to numerous invitations to contribute to collaborative projects, serve on peer-review panels, and mentor future generations of cardiovascular researchers.

🌍 Impact and Influence

Dr. Cheng’s work has had a lasting impact on both experimental and clinical cardiology. By elucidating the mechanistic basis of ventricular dysfunction, he has helped shift paradigms in heart failure management, particularly in the areas of ventricular interdependence and preload responsiveness. His research findings are frequently cited in textbooks and high-impact journals, and they continue to inform guidelines for cardiac care and interventions. Through his work at Wake Forest and beyond, Dr. Cheng has played a pivotal role in bridging laboratory discoveries with bedside applications.

👨‍🏫 Legacy and Mentorship

As a respected mentor and educator, Dr. Cheng has dedicated a significant portion of his career to training medical students, residents, and postdoctoral fellows. His mentorship has influenced numerous emerging scholars in cardiovascular medicine, many of whom have gone on to successful academic and clinical careers. His guidance combines a rigorous scientific approach with a deep sense of responsibility to patient care and scientific integrity, shaping a legacy that extends well beyond his own research output.

🔬 Future Contributions and Vision

Looking ahead, Dr. Cheng remains committed to the advancement of cardiovascular research, with a continued focus on uncovering the cellular and mechanical determinants of heart disease. His vision includes fostering collaborative projects that integrate biomedical engineering, imaging, and computational modeling to further understand cardiac performance. With decades of experience and a forward-thinking approach, Dr. Cheng’s future contributions are poised to leave a lasting mark on the field of translational cardiovascular medicine.

Publication

  1. Title: Increased CaMKII activation and contrast changes of cardiac β1-and β3-Adrenergic signaling pathways in a humanized angiotensinogen model of hypertension
    Authors: Sun, Xiaoqiang; Cao, Jing; Chen, Zhe; Ferrario, Carlos M.; Cheng, Cheping
    Year: 2023
    Journal: Heliyon

 

  1. Title: Calmodulin-dependent protein kinase II activation promotes kidney mesangial expansion in streptozotocin-induced diabetic mice
    Authors: Mikhailov, Alexei V.; Liu, Yixi; Cheng, Hengjie; Lin, Jen Jar; Cheng, Cheping
    Year: 2022
    Journal: Heliyon

 

  1. Title: Chronic GPR30 agonist therapy causes restoration of normal cardiac functional performance in a male mouse model of progressive heart failure: Insights into cellular mechanisms
    Authors: Zhang, Xiaowei; Li, Tiankai; Cheng, Hengjie; Groban, Leanne; Cheng, Cheping
    Year: 2021
    Journal: Life Sciences

 

  1. Title: Chronic Ca2+/calmodulin-dependent protein Kinase II inhibition rescues advanced heart failure
    Authors: Liu, Yixi; Shao, Qun; Cheng, Hengjie; Zhao, David Xiao Ming; Cheng, Cheping
    Year: 2021
    Journal: Journal of Pharmacology and Experimental Therapeutics

 

  1. Title: The Angiotensin-(1–12)/Chymase axis as an alternate component of the tissue renin angiotensin system
    Authors: Ferrario, Carlos M.; Groban, Leanne; Wang, Hao; Sun, Xuming; Ahmad, Sarfaraz
    Year: 2021
    Journal: Molecular and Cellular Endocrinology

 

  1. Title: Reversal of angiotensin-(1–12)-caused positive modulation on left ventricular contractile performance in heart failure: Assessment by pressure-volume analysis
    Authors: Li, Tiankai; Zhang, Zhi; Zhang, Xiaowei; Ferrario, Carlos M.; Cheng, Cheping
    Year: 2020
    Journal: International Journal of Cardiology

 

  1. Title: Female Heart Health: Is GPER the Missing Link?
    Authors: Groban, Leanne; Tran, Q. K.; Ferrario, Carlos M.; Wang, Hao; Lindsey, Sarah H.
    Year: (Not specified, but likely 2020 or 2021)
    Journal: (Not specified)

 

🏁 Conclusion

Dr. Cheng’s legacy is one of intellectual rigor, clinical relevance, and mentorship. His work has not only deepened the scientific understanding of cardiac physiology but has also shaped modern approaches to diagnosing and managing heart failure. With a career spanning continents and disciplines, Dr. Cheng continues to be a guiding force in cardiovascular medicine, and his future contributions are anticipated to further advance the frontiers of heart research and patient care.