James Shine | Systems Neuroscience | Research Excellence Award

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Prof. Dr. James Shine | Systems Neuroscience | Research Excellence Award

Prof. Dr. James Shine | The University of Sydney | Australia

This researcher is an influential systems neurobiologist whose work has significantly advanced the scientific understanding of whole-brain neural dynamics. With over 170 peer-reviewed publications, more than 16,000 citations, an h-index of 67, and an i10-index of 177, their scholarly contributions have shaped multiple domains within contemporary neuroscience. Their research integrates multimodal neuroimaging, computational modelling, network science, and systems-level neurobiology to uncover the principles governing cognition, attention, and consciousness. A major focus of their work involves developing biophysically informed models that link neuroanatomical organization with large-scale patterns of human brain activity, enabling the generation of testable predictions across imaging modalities. Their publications span impactful studies in neuroimaging, neurobiology, and computational science, including widely cited papers in high-profile journals. Their seminal insights into dynamic functional brain network integration have catalyzed global interest in time-resolved brain connectivity, influencing methodological developments and being adopted by more than 100 research groups across over 90 countries. Their research program also advances innovative computational frameworks for analysing complex neural signals, contributing both theoretical and practical tools that inform the study of neurodegenerative conditions and cognitive function. their work continues to shape the direction of systems neuroscience and quantitative brain research.

Profile: Google Scholar

Featured Publications

Shine, J. M., Bissett, P. G., Bell, P. T., Koyejo, O., Balsters, J. H., Gorgolewski, K. J., … (2016). The dynamics of functional brain networks: Integrated network states during cognitive task performance. Neuron, 92(2), 544–554.

Hansen, J. Y., Shafiei, G., Markello, R. D., Smart, K., Cox, S. M. L., Nørgaard, M., … (2022). Mapping neurotransmitter systems to the structural and functional organization of the human neocortex. Nature Neuroscience, 25(11), 1569–1581.

Lurie, D. J., Kessler, D., Bassett, D. S., Betzel, R. F., Breakspear, M., Kheilholz, S., … (2020). Questions and controversies in the study of time-varying functional connectivity in resting fMRI. Network Neuroscience, 4(1), 30–69.

Shine, J. M., Breakspear, M., Bell, P. T., Ehgoetz Martens, K. A., Shine, R., … (2019). Human cognition involves the dynamic integration of neural activity and neuromodulatory systems. Nature Neuroscience, 22(2), 289–296.

Poldrack, R. A., Laumann, T. O., Koyejo, O., Gregory, B., Hover, A., Chen, M. Y., … (2015). Long-term neural and physiological phenotyping of a single human. Nature Communications, 6, 8885.

Shine, J. M., Matar, E., Ward, P. B., Frank, M. J., Moustafa, A. A., Pearson, M., … (2013). Freezing of gait in Parkinson’s disease is associated with functional decoupling between the cognitive control network and the basal ganglia. Brain, 136(12), 3671–3681.

Siphokazi Gatyeni | Systems Neuroscience | Best Researcher Award

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Dr. Siphokazi Gatyeni | Systems Neuroscience | Best Researcher Award

Dr. Siphokazi Gatyeni | University of Johannesburg | South Africa

Dr Siphokazi Princess Gatyeni is a Lecturer in the Department of Mathematics and Applied Mathematics at the University of Johannesburg, having progressed through roles as Assistant Lecturer and Marker. She earned her PhD in Applied Mathematics with a thesis on the long-term dynamics of COVID-19 in South Africa under the supervision of Prof Farai Nyabadza and Prof Faraimunashe Chirove. Prior to that she completed an MSc in Mathematics studying modelling of in- and out-patient rehabilitation for substance abuse, and an Honours in Biomathematics modelling substance abuse dynamics. Her research focuses on infectious-disease modelling (COVID-19, TB, malaria), optimal control theory and social behaviour in epidemic systems, with demonstrated expertise in MATLAB, Python, Mathematica, LaTeX, R-Studio, Excel and SPSS. According to Google Scholar she has been cited 41 times. Her h-index is currently not publicly listed on that profile but the citation count reflects an active early-career research trajectory. Her work includes recent journal articles on meningitis transmission and the impact of vaccination strategies, as well as modelling the effects of stigma on COVID-19 transmission. In the classroom she emphasises real-world applications and technology-assisted instruction, teaching courses from Engineering Mathematics through Numerical Analysis and Special Topics, and is committed to mentoring postgraduate students in interdisciplinary mathematical modelling.

Profile: orcid

Featured Publications

Gatyeni, S. P. (2025). Mathematical modeling of meningitis transmission dynamics and the impact of vaccination strategies. Scientific African, e03048.

Mbalilo, V. M., Nyabadza, F., & Gatyeni, S. P. (2025). Modelling the potential impact of TB-funded prevention programs on the transmission dynamics of TB. Infectious Disease Modelling.

Gatyeni, S. P., Chirove, F., & Nyabadza, F. (2022). Modelling the potential impact of stigma on the transmission dynamics of COVID-19 in South Africa. Mathematics, 10(18), 3253.

Gatyeni, S. P. (2022). Application of optimal control to the dynamics of COVID-19 disease in South Africa. Scientific African, e01268.

Alireza Kamali-Asl | Neuroimaging | Best Researcher Award

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Prof. Dr. Alireza Kamali-Asl | Neuroimaging | Best Researcher Award

Prof. Dr. Alireza Kamali-Asl | Freelance organization | United Kingdom

Professor Alireza Kamaliasl is a distinguished expert in medical radiation engineering and serves as the Director of the Medical Imaging Instruments Laboratory and Head of Molecular Imaging Modality. With over two decades of experience in healthcare technology and molecular imaging, he has made pioneering contributions to the design, simulation, and manufacture of advanced medical imaging instruments across modalities such as SPECT, PET, CT, and radiography. His interdisciplinary research integrates mathematical modeling, computational analysis, and clinical collaboration to enhance diagnostic and theranostic imaging systems. Professor Kamaliasl has authored more than 150 publications in top-tier international journals and conferences, achieving an h-index of 28, with over 3,800 citations and 160 research documents indexed in global databases. He has successfully supervised more than 45 postgraduate research projects, fostering innovation and leadership in radiological sciences. His expertise spans radio-isotopic imaging, system performance optimization, radiation shielding, device calibration, and preventive maintenance management. Recognized for his role as a visionary mentor and strategic planner, Professor Kamaliasl continues to advance multimodality molecular imaging and medical instrumentation, bridging the gap between engineering innovation and clinical application to improve diagnostic precision and therapeutic outcomes.

Profiles: Scopus | Orcid | Google Scholar | Research Gate | Linked In

Featured Publications

  1. Habibzadeh, M. A., Ay, M. R., Kamali-Asl, A. R., Ghadiri, H., & Zaidi, H. (2012). Impact of miscentering on patient dose and image noise in X-ray CT imaging: Phantom and clinical studies. Physica Medica, 28(3), 191–199.

  2. Aghakhan Olia, N., Kamali-Asl, A., Hariri Tabrizi, S., Geramifar, P., et al. (2022). Deep learning–based denoising of low-dose SPECT myocardial perfusion images: Quantitative assessment and clinical performance. European Journal of Nuclear Medicine and Molecular Imaging, 49(5), 1508–1522.

  3. Arefan, D., Talebpour, A., Ahmadinejhad, N., & Kamali-Asl, A. (2015). Automatic breast density classification using neural network. Journal of Instrumentation, 10(12), T12002.

  4. Poorbaygi, H., Aghamiri, S. M. R., Sheibani, S., Kamali-Asl, A., et al. (2011). Production of glass microspheres comprising 90Y and 177Lu for treating hepatic tumors with SPECT imaging capabilities. Applied Radiation and Isotopes, 69(10), 1407–1414.

  5. Khazaee Moghadam, M., Kamali-Asl, A., Geramifar, P., & Zaidi, H. (2016). Evaluating the application of tissue-specific dose kernels instead of water dose kernels in internal dosimetry: A Monte Carlo study. Cancer Biotherapy and Radiopharmaceuticals, 31(10), 367–379.*

Soheila Hosseinzadeh | Cognitive Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Soheila Hosseinzadeh | Cognitive Neuroscience | Best Researcher Award

Assist. Prof. Dr. Soheila Hosseinzadeh, Tehran University of Medical Sciences, Iran.

Dr. Soheila Hosseinzadeh is a distinguished Assistant Professor of Neuroscience at the Tehran University of Medical Sciences, with a rich academic background that spans nursing, physiology, and neuroscience. Over the years, she has made substantial contributions to neuroscience education and research, particularly in the fields of cognitive neurophysiology and addiction studies. Her expertise includes a wide range of advanced techniques such as event-related potential analysis, EEG-based neurofeedback, behavioral studies, and molecular tools like RT-PCR and ELISA. She has played a pivotal role in training students and developing neuroscience programs at multiple academic institutions, demonstrating a balanced commitment to both teaching and scientific innovation.

Academic Profile

Google Scholar

Early Academic Pursuits

Dr. Soheila Hosseinzadeh’s academic foundation is deeply rooted in an interdisciplinary understanding of human physiology and neurological sciences. Her early career began with a Bachelor of Science in Nursing in 2000, which was soon followed by a Master’s degree in Physiology in 2003. Demonstrating a keen interest in the mechanisms underlying brain function and behavior, she further advanced her expertise by earning a Ph.D. in Neuroscience in 2013. These academic milestones laid a solid groundwork for her future in teaching and cutting-edge neurophysiological research.

Professional Endeavors in Neuroscience

After completing her Ph.D., Dr. Hosseinzadeh embarked on an academic and research-oriented career that has spanned over a decade. From 2014 to April 2022, she served as a neurophysiology course instructor at Babol University of Medical Sciences, nurturing future scientists with her in-depth understanding of brain physiology. Since April 2022, she has continued her academic contributions at the Tehran University of Medical Sciences, where she teaches courses in Neuroscience and Addiction Studies. Her dual role as educator and researcher places her at the forefront of neuroscience education in Iran.

Contributions and Research Focus

Dr. Hosseinzadeh’s research is focused on the interface of cognitive neuroscience and addiction studies. Her technical proficiency includes advanced neurophysiological techniques such as event-related potential (ERP) recording and analysis, quantitative EEG (QEEG)-based neurofeedback, and behavioral assessments in animal models. She is also experienced in molecular biology tools including real-time RT-PCR and ELISA, alongside rodent stereotaxic surgeries and flow cytometry. Her work often explores neural mechanisms underlying cognitive functions, brain plasticity, and responses to addictive substances—bridging lab findings with clinical relevance.

Accolades and Recognition

Throughout her academic journey, Dr. Hosseinzadeh has earned recognition for her expertise in neurophysiological and behavioral science. Her dual roles at prestigious institutions such as Tehran University of Medical Sciences reflect her trusted authority in the field. While her accolades are more rooted in impact and mentorship than in public awards, her consistent engagement in neuroscience education and translational research is a clear indicator of peer acknowledgment and professional respect.

Impact and Influence

Dr. Hosseinzadeh’s influence extends beyond academic teaching. By integrating theoretical neuroscience with hands-on technical applications like neurofeedback and EEG-based cognitive training, she fosters a research culture that promotes both clinical innovation and scientific discovery. Her guidance has shaped students and young researchers in multiple universities, many of whom continue to advance the fields of neurophysiology and cognitive rehabilitation across the country.

Legacy in Neurotechnology and Cognitive Health

Her pioneering efforts in cognitive task design and ERP analysis have significantly contributed to Iran’s growing reputation in brain research. As one of the few experts integrating neurofeedback with behavioral science and electrophysiology, Dr. Hosseinzadeh has helped establish a platform for neurotechnological interventions in addiction and mental health studies. Her legacy lies in creating an interdisciplinary approach that merges neuroscientific inquiry with practical healthcare applications.

Future Contributions and Vision

Looking ahead, Dr. Soheila Hosseinzadeh is poised to make even greater strides in neuroscience, particularly in the domains of addiction neurobiology, cognitive rehabilitation, and neurofeedback therapy. With continuous advancements in brain-monitoring tools and behavioral modeling, she aims to lead research projects that offer deeper insights into brain-behavior relationships and provide innovative treatments for neuropsychiatric disorders. Her vision includes developing collaborative research networks that connect Iranian neuroscience to global scientific conversations.

Publication

Piperine restores streptozotocin-induced cognitive impairments: Insights into oxidative balance in cerebrospinal fluid and hippocampus
M Khalili-Fomeshi, MG Azizi, MR Esmaeili, M Gol, S Kazemi, …
2018

Plasma microparticles in Alzheimer’s disease: The role of vascular dysfunction
S Hosseinzadeh, M Noroozian, E Mortaz, K Mousavizadeh
2018

Elevated CSF and plasma microparticles in a rat model of streptozotocin-induced cognitive impairment
S Hosseinzadeh, M Zahmatkesh, MR Zarrindast, GR Hassanzadeh, …
2013

Effect of methamphetamine exposure on the plasma levels of endothelial-derived microparticles
A Nazari, M Zahmatkesh, E Mortaz, S Hosseinzadeh
2018

Hippocampal DHCR24 down regulation in a rat model of streptozotocin-induced cognitive decline
S Hosseinzadeh, M Zahmatkesh, M Heidari, GR Hassanzadeh, …
2015

Increment of CSF fractalkine-positive microvesicles preceded the spatial memory impairment in amyloid beta neurotoxicity
L Karimi-Zandi, M Zahmatkesh, G Hassanzadeh, S Hosseinzadeh
2022

Arbutin intervention ameliorates memory impairment in a rat model of lysolecethin induced demyelination: Neuroprotective and anti-inflammatory effects
S Ashrafpour, MJ Nasr-Taherabadi, A Sabouri-Rad, S Hosseinzadeh, …
2024

Conclusion

Dr. Hosseinzadeh’s career reflects an exemplary blend of academic excellence, technical expertise, and visionary research in neuroscience. Her efforts have significantly advanced the understanding of brain function, particularly in the context of addiction and cognitive health. As a leader in her field, she continues to inspire the next generation of neuroscientists while actively contributing to translational research that bridges laboratory findings with clinical solutions. With her ongoing work and future vision, Dr. Hosseinzadeh stands out as a key figure in shaping the future of neuroscience in Iran and beyond.

Ged Smith | Systems Neuroscience | Outstanding Educator Award

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Dr. Ged Smith | Systems Neuroscience | Outstanding Educator Award

Dr. Ged Smith,  UK AFT, United Kingdom.

Dr. Ged Smith is a highly esteemed Consultant Systemic/Family and Couples Psychotherapist with over 25 years of experience in clinical practice, academic teaching, and international consultation. His early academic journey began with a B.Ed from Liverpool University, followed by advanced degrees culminating in a Professional Doctorate from Birkbeck University and the Institute of Family Therapy. Throughout his career, Dr. Smith has made influential contributions through clinical supervision, research publication, and educational leadership. He is widely published in top-tier journals and is the longstanding Editor of “Context,” the UK’s principal family therapy journal. He also holds senior roles in professional organizations such as the Association for Family Therapy (AFT) and the European Family Therapy Association (EFTA). Dr. Smith’s work bridges therapeutic practice with systemic theory, making significant impact on the field both nationally and internationally.

Profile

Orcid

🎓 Early Academic Pursuits

Dr. Ged Smith began his academic journey at Liverpool University, where he earned his Bachelor of Education (B.Ed) in 1980, laying the foundation for a lifelong dedication to learning and teaching. His growing interest in social care and mental health led him to pursue a Certificate of Qualification in Social Work (CQSW) at the University of Cardiff, which he completed in 1988. Deepening his expertise in systemic practices, Dr. Smith undertook a Master of Science (MSc) in collaboration with the Institute of Family Therapy (IFT) and Birkbeck University, London in 1996. His academic excellence culminated in the attainment of a Professional Doctorate from the same institutions in 2011, solidifying his scholarly contributions to systemic and family therapy.

🧠 Professional Endeavors in Systemic Therapy

Dr. Smith’s career spans over 25 years of clinical experience in both Merseyside and London, where he has provided systemic and family therapy across diverse communities. As a UKCP Registered Systemic Psychotherapist and AFT Accredited Supervisor, he currently supervises more than 30 mental health and social care professionals. His professional influence extends across clinical settings, educational platforms, and governmental agencies, making him a sought-after consultant for Social Services and Care Agencies in the North West of England. His dedication to systemic thinking is evident in his role as a Live Supervisor on the Manchester Family Therapy Qualifying Course, where he brings practical and ethical insight to emerging therapists.

📝 Contributions and Research Focus

Dr. Smith has been an unwavering contributor to the dissemination of systemic knowledge, both as a prolific writer and respected editor. As the long-standing Editor of “Context,” the UK’s leading Family Therapy Journal, he has significantly influenced the field’s intellectual discourse. His research focus centers on transformative and relational practices in systemic therapy, engaging with contemporary themes in mental health. His published work appears in globally respected journals such as the Journal of Family Therapy, Family Process (USA), Human Systems, and the Australian and New Zealand Journal of Family Therapy. Notably, he contributed chapters to Systemic Therapy as Transformative Practice (2017), reflecting his commitment to therapeutic innovation and social justice.

📚 Academic Leadership and Teaching Excellence

Dr. Smith has played a vital role in academic mentorship and systemic education. A revered Visiting Lecturer at the Tavistock Clinic London, and universities including Manchester, Exeter, and Hull, he continues to influence systemic thinking across academic and clinical boundaries. In his role as an External Doctoral Supervisor at the University of Bedfordshire, he nurtures the next generation of systemic scholars. His expertise in integrating theory with practice has made him a preferred speaker and educator at family therapy training courses throughout the UK.

🏆 Accolades and Recognition

Dr. Smith’s long-standing contributions to systemic therapy have earned him national and international recognition. As Chair of AFT Publishing for over 20 years, he has guided the ethical and academic standards of family therapy literature in the UK. He also represents the UK at the European Family Therapy Association (EFTA) meetings, further elevating the UK’s presence on the global systemic stage. His respected status in the field is not only a result of his academic output but also his unwavering dedication to supervision, teaching, and ethical therapeutic practice.

🌍 Global Engagement and Influence

A distinguished conference speaker and workshop presenter, Dr. Smith has shared his insights on systemic and psychological approaches to mental health at international platforms. His presentations emphasize both clinical depth and sociocultural relevance, addressing topics like family systems, relational ethics, and collaborative practices in therapy. By integrating global perspectives into his work, Dr. Smith continues to expand the reach and relevance of systemic psychotherapy.

🧬 Legacy and Future Contributions

Dr. Ged Smith’s career represents a profound legacy of relational practice, scholarly excellence, and ethical leadership. As systemic therapy continues to evolve in response to modern challenges, his work sets a benchmark for future generations. With his continued supervision of doctoral candidates, editorial leadership, and international teaching, he remains at the forefront of shaping the future of family therapy. His vision is clear: to maintain systemic practice as not only a clinical method but a transformative social discourse that can empower families, communities, and practitioners alike.

Publication

  • Title: So, You’re Doing a Family Therapy Course……
    Author: Ged Smith
    Year: 2025

 

  • Title: A 1.5‐Order Therapy: Between Knowing and Not‐Knowing
    Author: Ged Smith
    Year: 2023

 

✅ Conclusion

Dr. Ged Smith exemplifies excellence in systemic and family psychotherapy through a unique blend of scholarly depth, clinical wisdom, and passionate teaching. His enduring influence on the development of family therapy—through publications, supervision, and organizational leadership—makes him a key figure in shaping contemporary mental health practices. As a researcher, educator, and clinician, he has created a meaningful legacy grounded in relational ethics and transformative therapeutic approaches. Dr. Smith’s continued contributions will undoubtedly inspire future practitioners and scholars committed to holistic, systemic care.

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.

 

Alex Armstrong | Systems Neuroscience | Young Scientist Award

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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.

 

Atena Shojaie | Behavioral Neuroscience | Best Researcher Award

Published on by Neuroscientists

Ms. Atena Shojaie | Behavioral Neuroscience | Best Researcher Award

Ms. Atena Shojaie, Kerman university of medical sciences, Iran.

Atena Shojaie is a dedicated medical-surgical nursing professional with a Master’s degree from Kerman University of Medical Sciences. Her early academic journey was marked by a passion for integrating clinical care with research, particularly in neurology and rehabilitation. Over three years of working in critical care settings, including Neurology and ICU wards, she honed her clinical expertise while also serving as a valued clinical instructor. Her research focus on guided imagery as a therapeutic intervention for multiple sclerosis and MRI-induced anxiety has led to innovative practices currently in use at major hospitals. Atena’s academic contributions are beginning to gain recognition through citations and clinical adoption of her methods.

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🎓 Early Academic Pursuits

Atena Shojaie began her journey in the field of healthcare with a strong academic foundation, earning a bachelor’s degree in nursing followed by a Master of Science in Medical-Surgical Nursing from Kerman University of Medical Sciences. Her early academic interests revolved around holistic patient care and neuro-rehabilitation, which laid the groundwork for her later clinical and research endeavors. During her postgraduate studies, she demonstrated a deep commitment to understanding patient needs—especially those facing neurological challenges—while also refining her clinical skills in hospital environments.

🏥 Professional Endeavors

In the span of just three years, Atena accumulated extensive experience working in several critical hospital wards, including Neurology, Neurosurgery, and the Intensive Care Unit (ICU). Her hands-on experience with acute and chronic conditions shaped her clinical intuition and enhanced her ability to manage complex patient cases. Parallel to her clinical work, she embraced the role of a clinical instructor, mentoring nursing and emergency medical students with a balance of academic rigor and compassionate teaching. This dual role of caregiver and educator reflects her deep-seated dedication to both practice and pedagogy.

🔬 Contributions and Research Focus

Atena’s research primarily centers on the intersection of psychological interventions and physical rehabilitation, with a particular emphasis on multiple sclerosis (MS). Her master’s thesis, “The Effectiveness of Guided Imagery on Walking and Balance Dysfunction in Patients With Multiple Sclerosis,” stands as a cornerstone of her academic work. The project demonstrated measurable improvements in gait and balance among MS patients and has since influenced ongoing clinical practices. Additionally, she completed a significant study on the “Anxiety of Patients Undergoing Magnetic Resonance Imaging (MRI),” showing how guided imagery can alleviate pre-procedure stress—further reflecting her commitment to patient-centered innovations.

🧠 Innovations in Mental Imagery

Atena Shojaie has been instrumental in translating academic research into practical tools for patient care. One of her notable innovations includes the creation of a guided imagery audio file, which is now regularly used in two major healthcare centers—Bahonar Hospital’s MRI department and Shafa Hospital’s MS Clinic. This therapeutic tool has not only improved the mental well-being of patients but also contributed to smoother clinical workflows, particularly in high-anxiety environments like radiology units.

📈 Impact and Influence

Although still early in her research career, Atena’s work has begun to gain scholarly recognition. With a citation index that includes three citations and an h-index of 1, her research is already laying the foundation for future studies in neuro-nursing and psychological rehabilitation. Her work continues to resonate with clinical teams and academics alike, especially those focused on non-pharmacological interventions for neurological conditions.

🏅 Accolades and Recognition

Atena’s clinical and research activities have earned her respect among her peers and mentors at Kerman University of Medical Sciences. While formal awards may still be on the horizon, her true recognition lies in the adoption of her guided imagery methods by major hospitals—an endorsement of both her scientific rigor and clinical insight. Her role as a trusted clinical instructor further affirms her reputation as a knowledgeable and compassionate professional.

🌟 Legacy and Future Contributions

With a solid foundation in research and hands-on care, Atena Shojaie is poised to make enduring contributions to the field of neuro-rehabilitative nursing. Her vision includes expanding the use of therapeutic mental imagery in broader hospital settings and conducting multi-center studies to further validate its effectiveness. As she continues her academic and clinical journey, her legacy will likely be defined by a thoughtful fusion of science, compassion, and innovation—paving the way for future advancements in holistic patient care.

Publication

 

  • Anxiety of Patients Undergoing Magnetic Resonance Imaging (MRI): The Effectiveness of Guided Mental Imagery
    Authors: A. Shojaie, H. Amiri, T. Dehesh, B. Bagherian
    Year: 2024

 

  • The Effectiveness of Guided Imagery on Walking and Balance Dysfunction in Patients With Multiple Sclerosis: A Randomized Controlled Trial
    Authors: B.B. Atena Shojaie, Hoda Kamali, Monir Sadat Nematollahi, Zahra Imani Goghary
    Year: 2025

 

✅ Conclusion

Atena Shojaie exemplifies the new generation of nurse-researchers who bridge the gap between evidence-based practice and compassionate patient care. Her work in guided mental imagery not only addresses physical dysfunction but also supports patients’ emotional and psychological needs. As she continues to expand her research and clinical impact, Atena is well-positioned to influence future standards in neuro-nursing and non-pharmacological therapy. Her legacy will likely be defined by innovation, empathy, and a relentless pursuit of better outcomes for patients with neurological conditions.

Jun Liu | Neuroimaging | Best Researcher Award

Published on by Neuroscientists

Prof.Dr. Jun Liu | Neuroimaging | Best Researcher Award

Prof. Dr. Jun Liu,  Department of Radiology, Second Xiangya Hospital of Central South University, China.

Professor Jun Liu is a highly accomplished radiologist and academic leader, serving as the Chief Radiologist and Director of the Radiology Department at the Second Xiangya Hospital, Central South University. With a strong foundation in medical sciences and an early passion for radiology, he has emerged as a national figure in neuroimaging and neuroregeneration research. His professional journey is marked by impactful roles in academic mentorship, hospital administration, and national medical organizations. His research excellence is evident through his leadership in multiple prestigious committees and his contributions to scientific review and innovation. Recognized by both government and medical associations, Professor Liu is a decorated figure, celebrated for his medical service during COVID-19 and his scientific leadership in Hunan Province and beyond.

Profile

Orcid 

Scopus

 

Professor Jun Liu is a highly accomplished radiologist and academic leader, serving as the Chief Radiologist and Director of the Radiology Department at the Second Xiangya Hospital, Central South University. With a strong foundation in medical sciences and an early passion for radiology, he has emerged as a national figure in neuroimaging and neuroregeneration research. His professional journey is marked by impactful roles in academic mentorship, hospital administration, and national medical organizations. His research excellence is evident through his leadership in multiple prestigious committees and his contributions to scientific review and innovation. Recognized by both government and medical associations, Professor Liu is a decorated figure, celebrated for his medical service during COVID-19 and his scientific leadership in Hunan Province and beyond.

Profile

Orcid
Scopus

 

🎓 Early Academic Pursuits


From the very beginning of his academic journey, Professor Jun Liu demonstrated exceptional dedication to the medical sciences. He earned his M.D. and laid a solid foundation in radiology, developing a keen interest in diagnostic imaging and neurological disorders. His academic commitment and intellectual curiosity propelled him toward advanced studies and laid the groundwork for a distinguished career in radiology. As a student and early-career academic, he was recognized for his strong analytical skills and leadership potential, setting the stage for the impactful roles he would later assume in both clinical and academic spheres.

🏥 Professional Endeavors


Professor Jun Liu currently serves as the Chief Radiologist and Director of the Radiology Department at the prestigious Second Xiangya Hospital of Central South University. In this role, he oversees cutting-edge radiological practices while also guiding clinical decision-making with expertise and precision. As a Doctoral Supervisor and Professor, he mentors a new generation of radiologists, integrating academic knowledge with clinical excellence. His influence also extends into organizational leadership as the Secretary of the First Party Branch, showcasing his commitment to institutional development and medical governance.

🔬 Contributions and Research Focus


A pivotal force in radiology, Professor Liu has devoted much of his research to neuroimaging and neuroregeneration. His work as the headman of the Neuroregeneration and Neuroimaging Group under the Chinese Research Hospital Association reflects his influence in shaping national research priorities. As a peer review expert for the National Natural Science Foundation of China, he contributes to the advancement of scientific standards and research integrity. His projects often intersect clinical imaging with neuroscience, allowing for better diagnosis and understanding of neurological diseases.

🏅 Accolades and Recognition


Professor Liu’s contributions have earned him numerous national honors. Notably, he was awarded the Advanced Individual against COVID-19 by the Ministry of Science and Technology of the People’s Republic of China, acknowledging his dedication during a critical period in global health. He received the Outstanding Style Award at the 5th People’s Famous Doctor Ceremony, and has been recognized as a leading talent in the Science and Technology Innovation Program of Hunan Province. His role as leader of 225 subjects in the province showcases his broad expertise and leadership in medical research and education.

🌐 Impact and Influence


Nationally, Professor Liu plays a vital role in shaping radiological standards and neurology practices. As a member of the Neurology Group under the Chinese Society of Radiology and the Chinese Medical Association, his insights influence nationwide healthcare policies and training programs. In Hunan, he is the Director of the Diagnostic Radiology Quality Control Center and President of the Radiologists Branch of the Hunan Medical Doctor Association, where he continues to elevate diagnostic standards and ensure quality in radiological services.

🚀 Innovation and Leadership


Professor Liu stands as a prime example of a “Double Leaders” Party Branch Secretary, a title awarded by the Ministry of Education, symbolizing excellence in both administrative and academic leadership. His involvement in technology-driven projects, particularly those that integrate AI and neuroimaging, highlights his forward-thinking approach to medical diagnostics. He champions the evolution of radiology into a more dynamic and precision-focused discipline, blending traditional expertise with technological innovations.

📘 Legacy and Future Contributions


As Professor Liu continues to mentor doctoral candidates and lead national research groups, his legacy is already visible in the improved radiological practices across China. His work in neuroregeneration and imaging not only enhances clinical outcomes but also pushes the boundaries of what medical imaging can achieve. In the years to come, his continued dedication to education, research, and innovation will undoubtedly shape the future of radiology and contribute to better neurological healthcare nationwide and beyond.

Publication

  • Title: Insulinoma detection on low-dose pancreatic CT perfusion: comparing with conventional contrast-enhanced CT and MRI
    Authors: S. Luo, X. Mei, Y. Shang, … W. Yang, J. Liu
    Year: 2025

 

  • Title: Functions and application of circRNAs in vascular aging and aging-related vascular diseases
    Authors: S. He, B. Huang, F. Xu, … X. Lin, J. Liu
    Year: 2025

 

  • Title: Persistent alterations in gray matter in COVID-19 patients experiencing sleep disturbances: a 3-month longitudinal study
    Authors: K. Zhou, G. Duan, Y. Liu, … J. Yang, D. Deng
    Year: 2025

 

  • Title: Multimodal radiopathological integration for prognosis and prediction of adjuvant chemotherapy benefit in resectable lung adenocarcinoma: A multicentre study
    Authors: H. Lin, J. Hua, Z. Gong, … C. Lu, Z. Liu
    Year: 2025

 

  • Title: Prognostic and predictive values of a multimodal nomogram incorporating tumor and peritumor morphology with immune status in resectable lung adenocarcinoma
    Authors: H. Lin, J. Hua, Y. Wang, … J. Liu, Z. Liu
    Year: 2025

 

  • Title: White matter microstructural alterations are associated with cognitive decline in benzodiazepine use disorders: a multi-shell diffusion magnetic resonance imaging study
    Authors: M. Yi, T. Wang, X. Li, … J. Liu, H. Zhou
    Year: 2025

 

  • Title: Unveiling causal relationships between addiction phenotypes and inflammatory cytokines: insights from bidirectional mendelian randomization and bibliometric analysis
    Authors: S. Cao, L. Yang, X. Wang, … S. Tang, J. Liu
    Year: 2025

 

  • Title: Microstructure changes of the brain preceded glymphatic function changes in young obesity with and without food addiction
    Authors: M. Yi, Z. Yule, W. Song, … J. Liu, H. Zhou
    Year: 2025

 

  • Title: Distinct insula subdivisions of resting-state functional connectivity in individuals with opioid and methamphetamine use disorders
    Authors: W. Yang, X. Wen, Z. Du, … K. Yuan, J. Liu
    Year: 2025

 

  • Title: Unraveling the Diffusion MRI-Based Glymphatic System Alterations in Children with Rolandic Epilepsy
    Authors: Y. Yin, M. Ma, F. Wang, … J. Liu, H. Liu
    Year: 2025

 

✅ Conclusion


Professor Jun Liu’s career embodies the intersection of clinical expertise, scientific innovation, and compassionate leadership. Through decades of dedication, he has transformed radiological practice and training in China, especially in neurological diagnostics. As a scholar, mentor, and administrator, his legacy continues to inspire the next generation of medical professionals. With a focus on advancing neuroimaging techniques and quality standards, Professor Liu stands as a beacon of excellence in modern radiology, with his future contributions set to further shape the landscape of medical diagnostics and research.