Alireza Kamali-Asl | Neuroimaging | Best Researcher Award

Published on by Neuroscientists

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.*

Zhong Suyu | Neuroimaging | Best Researcher Award

Published on by Neuroscientists

Assoc. Prof. Dr. Zhong Suyu | Neuroimaging | Best Researcher Award

Assoc. Prof. Dr. Zhong Suyu, Beijing University of Posts and Telecommunications, China.

Zhong Suyu is a distinguished scholar at the intersection of artificial intelligence and cognitive neuroscience. With an academic foundation in biomedical engineering and a Ph.D. in Cognitive Neuroscience from Beijing Normal University, they have dedicated their career to exploring AI-driven brain research. Their postdoctoral work and current role as an Associate Professor at the Beijing University of Posts and Telecommunications have positioned them as a leading expert in brain-computer interfaces, neural signal processing, and machine learning applications in cognitive studies. Through groundbreaking research, impactful publications, and mentorship, they continue to shape the future of AI-integrated neuroscience.

Profile

Google Scholar

Early Academic Pursuits 🎓

Zhong Suyu’s academic journey began with a deep-rooted passion for the intersection of medicine, engineering, and neuroscience. They earned a Bachelor’s degree in Biomedical Engineering from Capital Medical University in 2006, laying the groundwork for their future research. Eager to expand their expertise, they pursued a Master’s degree at Beijing University of Aeronautics and Astronautics, delving further into biomedical engineering and honing their skills in medical technology. The pinnacle of their academic training came with a Ph.D. in Cognitive Neuroscience from Beijing Normal University in 2016, where they explored the intricate relationship between human cognition and artificial intelligence.

Professional Endeavors 🏛️

Following the completion of their doctorate, Zhong Suyu embarked on an enriching postdoctoral journey at Beijing Normal University from 2016 to 2020. This period was instrumental in refining their research focus and contributing to groundbreaking studies. Their commitment to academic excellence led them to Beijing University of Posts and Telecommunications, where they assumed the role of Associate Professor in the School of Artificial Intelligence in 2023. In this capacity, they have been at the forefront of AI-driven neuroscience, guiding students and conducting pioneering research in the field.

Contributions and Research Focus 🔬

At the heart of Zhong Suyu’s work lies an innovative approach to integrating artificial intelligence with cognitive neuroscience. Their research explores brain-computer interfaces, neural signal processing, and machine learning applications in cognitive studies. By bridging AI with human cognition, they aim to unlock new possibilities in medical diagnostics, brain function analysis, and human-machine interaction. Their interdisciplinary contributions have positioned them as a thought leader in the evolution of AI-driven neurological studies.

Accolades and Recognition 🏆

Zhong Suyu’s dedication to research and education has earned them notable recognition in the scientific community. Their work has been published in prestigious journals, and they have been invited to speak at international conferences on artificial intelligence and neuroscience. Whether through peer-reviewed studies or academic symposiums, their influence continues to grow, marking them as a distinguished scholar in their domain.

Impact and Influence 🌍

Beyond academic circles, Zhong Suyu’s research has profound real-world applications. Their insights into AI-powered cognitive analysis have the potential to revolutionize mental health assessments, neurological disorder treatments, and adaptive learning systems. As an educator, they inspire a new generation of researchers, fostering curiosity and innovation among students eager to explore the vast possibilities of AI and neuroscience.

Legacy and Future Contributions 🚀

With an unwavering commitment to advancing artificial intelligence and cognitive science, Zhong Suyu’s legacy is one of transformation and discovery. As they continue to push the boundaries of human-machine integration, their future research is poised to shape the next era of intelligent systems. Through continued collaborations, technological advancements, and mentorship, they remain a driving force in redefining the synergy between artificial intelligence and the human brain.

Publication

  1. PANDA: a pipeline toolbox for analyzing brain diffusion images
    Z Cui, S Zhong, P Xu, Y He, G Gong – 2013

 

  1. Developmental changes in topological asymmetry between hemispheric brain white matter networks from adolescence to young adulthood
    S Zhong, Y He, H Shu, G Gong – 2017

 

  1. The abnormality of topological asymmetry between hemispheric brain white matter networks in Alzheimer’s disease and mild cognitive impairment
    C Yang, S Zhong, X Zhou, L Wei, L Wang, S Nie – 2017

 

  1. A significant risk factor for poststroke depression: the depression-related subnetwork
    S Yang, P Hua, X Shang, Z Cui, S Zhong, G Gong, GW Humphreys – 2015

 

  1. Convergence and divergence across construction methods for human brain white matter networks: an assessment based on individual differences
    S Zhong, Y He, G Gong – 2015

 

  1. The white matter structural network underlying human tool use and tool understanding
    Y Bi, Z Han, S Zhong, Y Ma, G Gong, R Huang, L Song, Y Fang, Y He – 2015

 

  1. Deficiency of brain structural sub‐network underlying post‐ischaemic stroke apathy
    S Yang, P Hua, X Shang, Z Cui, S Zhong, G Gong, G William Humphreys – 2015

 

  1. The semantic anatomical network: Evidence from healthy and brain‐damaged patient populations
    Y Fang, Z Han, S Zhong, G Gong, L Song, F Liu, R Huang, X Du, R Sun – 2015

 

Conclusion 🌟

Zhong Suyu’s journey is a testament to the power of interdisciplinary research in advancing both artificial intelligence and human cognition. Their work not only contributes to academic knowledge but also has the potential to revolutionize medical diagnostics, mental health assessments, and human-machine interactions. As they continue to push the frontiers of AI and neuroscience, their legacy will inspire future researchers and redefine the possibilities of intelligent systems in cognitive sciences.