Soheila Hosseinzadeh | Cognitive Neuroscience | Best Researcher Award

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

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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.

Chen Shoubin | Behavioral Neuroscience | Best Researcher Award

Dr. Chen Shoubin | Behavioral Neuroscience | Best Researcher Award

Dr. Chen Shoubin, Shenzhen University,  China.

Dr. Shoubin Chen is a forward-thinking Research Fellow at the Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), affiliated with Shenzhen University. With a Ph.D. in Photogrammetry and Remote Sensing, his career has been rooted in the intersection of spatial intelligence, robotics, and AI. From leading national research projects to publishing in reputable journals and securing multiple invention patents, Dr. Chen has made substantial contributions to the field of embodied intelligent robotics. His research emphasizes multi-sensor fusion and autonomous mapping, aiming to give machines human-like spatial perception and decision-making capabilities.

Profile

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📚 Early Academic Pursuits

Shoubin Chen’s academic journey began with a strong foundation in geospatial sciences, culminating in a Ph.D. in Photogrammetry and Remote Sensing in 2020. This prestigious degree was awarded through a rigorous joint training program between Wuhan University and the Finnish Geospatial Research Institute. During his doctoral studies, he developed a deep interest in integrating advanced spatial data techniques with artificial intelligence, laying the groundwork for his future research endeavors. His early academic phase was marked by a commitment to cross-border scientific collaboration and multidisciplinary exploration, which has since defined his research approach.

🧑‍💻 Professional Endeavors

Currently serving as a Research Fellow and graduate supervisor at the Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen) and Shenzhen University, Dr. Chen plays a pivotal role in advancing embodied intelligence within the Spatial Intelligence Team. His responsibilities include mentoring postgraduate students, overseeing cutting-edge research, and steering major national and provincial scientific projects. He has contributed to several national-level initiatives, including two National Natural Science Foundation of China grants, support from the China Postdoctoral Science Foundation, and sub-projects under the National Key Research and Development Program. These experiences have sharpened his expertise in high-precision robotic mapping and autonomous navigation.

🤖 Contributions and Research Focus

Dr. Chen’s primary research focus lies in embodied intelligent robotics, with an emphasis on multi-sensor fusion, robotic perception, and spatial mapping technologies. He is recognized for integrating data from various sensing modalities to improve the autonomy and spatial awareness of robotic systems. His innovations aim to empower robots with human-like spatial understanding, allowing them to operate reliably in complex environments. This research direction is crucial for applications ranging from autonomous vehicles to intelligent service robots, contributing significantly to the frontier of AI-driven robotics.

🏅 Accolades and Recognition

Throughout his academic and professional career, Shoubin Chen has garnered considerable recognition for his scientific excellence. He has published nearly ten high-quality papers as either the first or corresponding author in SCI Q2 journals and CCF B-tier or higher conferences and journals. Moreover, he has applied for over ten invention patents, underscoring his commitment to both theoretical advancement and practical application. His reputation in the academic community is further highlighted by his service as a peer reviewer for prestigious platforms such as the IEEE Internet of Things Journal, Remote Sensing of Environment, IEEE Transactions on Intelligent Vehicles, and ICRA, one of the top robotics conferences globally.

🌐 Impact and Influence

Dr. Chen’s work has had a profound impact on the fields of AI, robotics, and spatial computing. His multi-disciplinary approach has influenced how robots understand and interact with their environments, offering transformative possibilities in smart cities, autonomous transport, and digital mapping. By fusing photogrammetry with robotics and AI, he has contributed to a new paradigm in spatial intelligence that bridges digital perception and physical action. His projects have not only generated academic outputs but have also driven technological innovations with potential for real-world deployment.

🌱 Legacy and Future Contributions

As a mentor, innovator, and research leader, Shoubin Chen continues to inspire the next generation of scientists and engineers in AI and robotics. His forward-looking vision involves deepening the integration of embodied intelligence with environmental understanding, enabling machines to collaborate more intuitively with humans. He is poised to expand his research to include human-robot interaction, sustainable urban intelligence, and smart sensing systems. With a growing portfolio of publications, patents, and mentorship experiences, his contributions are set to leave a lasting legacy in the development of intelligent systems that seamlessly bridge perception and action.

🔬 Vision in Artificial Intelligence and Robotics

Guided by a vision that combines spatial science with artificial cognition, Dr. Chen’s work embodies the future of AI-powered robotics. His pursuit of intelligent, context-aware robotic systems aligns with global goals in automation, smart infrastructure, and digital economy. As AI becomes increasingly pervasive in everyday life, his contributions are steering the technology toward safer, more efficient, and more interactive systems. Through continuous innovation and collaboration, he remains at the forefront of a transformative research frontier that blends engineering precision with visionary thinking.

Publication

  • Title: Exploring embodied multimodal large models: Development, datasets, and future directions
    Authors: S Chen, Z Wu, K Zhang, C Li, B Zhang, F Ma, FR Yu, Q Li
    Year: 2025

 

  • Title: Distributed Robust Communication-Efficient Multi-Robot SLAM Combining Real-Time Intersection and Historical Loop Constraints
    Authors: B Zhang, Z Xiong, J Qiu, S Chen, Y Hu, S Chen
    Year: 2025

 

  • Title: TextGeo-SLAM: A LiDAR SLAM With Text Semantics and Geometric Constraints-Based Loop Closure
    Authors: S Chen, C Li, Q Jiang, X Zhuang, B Zhang, B Zhou, Q Li
    Year: 2024

 

  • Title: ASL-SLAM: A LiDAR SLAM with activity semantics-based loop closure
    Authors: B Zhou, C Li, S Chen, D Xie, M Yu, Q Li
    Year: 2023

 

  • Title: Comparative analysis of SLAM algorithms for mechanical LiDAR and solid-state LiDAR
    Authors: B Zhou, D Xie, S Chen, H Mo, C Li, Q Li
    Year: 2023

 

  • Title: Research on SLAM based on LiDAR/visual fusion (LV-SLAM)
    Authors: C Shoubin
    Year: 2023

 

  • Title: Cooperative smartphone GNSS/PDR for pedestrian navigation
    Authors: C Jiang, Y Chen, C Chen, S Chen, Q Meng, Y Bo, J Hyyppa
    Year: 2022

 

  • Title: Indoor Attitude Estimation Using Equipped Gyroscopes and Depth Sensors
    Authors: Q Shi, Z Song, Z Xiao, S Chen, F Wang
    Year: 2022

 

  • Title: LI-SLAM: Fusing LiDAR and Infrared Camera for Simultaneous Localization and Mapping
    Authors: B Zhou, D Xie, S Chen, C Li, H Mo
    Year: 2022

 

  • Title: NDT-LOAM: A real-time LiDAR odometry and mapping with weighted NDT and LFA
    Authors: S Chen, H Ma, C Jiang, B Zhou, W Xue, Z Xiao, Q Li
    Year: 2021

 

✅ Conclusion

In conclusion, Dr. Shoubin Chen exhibits all the core qualities of a Best Researcher Award recipient: deep scientific insight, proven research leadership, strong publication and patent output, and a visionary approach to solving real-world problems through AI and robotics. While there are opportunities to grow his international footprint, his current accomplishments already place him among the leading young researchers in his field. Based on the evidence of impact, innovation, and research excellence, he is highly suitable for the Best Researcher Award.