Chen Shoubin | Behavioral Neuroscience | Best Researcher Award

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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.

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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.

Atena Shojaie | Behavioral Neuroscience | Best Researcher Award

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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.

Tahereh Momeni Isfahani | Neuroscience & Education | Best Researcher Award

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Assoc. Prof. Dr. Tahereh Momeni Isfahani | Neuroscience & Education | Best Researcher Award

Assoc. Prof. Dr. Tahereh Momeni Isfahani,  Ar.C.,Arak Branch, Islamic Azad University,  Iran.

Dr. Taherh Momeni Isfahani is a distinguished chemist and academic affiliated with the Islamic Azad University, Arak Branch. Her academic journey is rooted in Iran’s top institutions, where she earned her B.Sc., M.Sc., and Ph.D. in Chemistry. Her research focuses on the development of advanced electrochemical sensors, with a strong emphasis on medical and environmental applications. Her recent work, involving a novel pencil graphite electrode electrospun with Poly-Sudan Black-B for dopamine analysis, has garnered significant recognition and was provisionally nominated for the Best Researcher Award. In addition to her active research output, she contributes to the scientific community as a faculty member and mentor, fostering innovation and academic excellence within her field.

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🎓 Early Academic Pursuits

Dr. Taherh Momeni Isfahani’s academic journey began with a strong foundation in chemistry, which she pursued with unwavering dedication at the Islamic Azad University of Arak, Iran. Her passion for analytical chemistry was evident from her undergraduate years, and she continued to build on that foundation with a Master’s degree from the University of Isfahan, where she worked on the development of an optical sensor for nickel (II) ion detection. Her intellectual curiosity and academic discipline culminated in a Ph.D. in Chemistry from her alma mater in Arak, where she focused on advanced spectrophotometric techniques and chemometric methods for the simultaneous determination of cations and equilibrium studies.

🧪 Professional Endeavors

Dr. Momeni currently serves as a member of the Science Committee at the Arak Branch of the Islamic Azad University, where she contributes both as a researcher and academic. Her professional role reflects a balance between teaching, research, and academic leadership. With deep expertise in analytical chemistry and instrumentation, she plays a pivotal role in guiding students and contributing to the scientific community through her research initiatives. Her involvement in the academic landscape of Iran has enriched the scientific discourse within her institution and beyond.

🔬 Contributions and Research Focus

A core focus of Dr. Momeni’s work lies in electrochemical sensing and analytical techniques, particularly for biomedical applications. Her research includes the fabrication of electrochemical sensors, development of polymeric membrane-based sensors, and exploration of chemometric methods in chemical analysis. In her most recent study, she designed a sensitive electrochemical sensor using a pencil graphite electrode electrospun with poly-Sudan Black-B, aimed at detecting dopamine in plasma samples—a critical advancement in bioanalytical chemistry. Her work stands at the intersection of innovation and application, addressing real-world challenges in medical diagnostics and environmental monitoring.

🏅 Accolades and Recognition

Dr. Momeni’s recent publication in the Journal of Cluster Science (2025) has garnered recognition and was provisionally nominated for the prestigious ‘Best Researcher Award’. This acknowledgment highlights the scientific merit and practical value of her research. It serves as a testament to her perseverance and commitment to pushing the boundaries of sensor development in analytical chemistry. Her growing list of publications reflects both depth and relevance in her chosen field.

🌍 Impact and Influence

Through her contributions, Dr. Momeni has significantly influenced the field of analytical chemistry within the academic and applied research settings in Iran. Her work has not only advanced sensor technologies but also impacted how chemical analysis is approached in complex biological and environmental systems. By designing cost-effective and accessible sensing platforms, she paves the way for more accurate and affordable diagnostic tools, especially in regions with limited access to high-end technology.

👩‍🔬 Legacy and Future Contributions

Dr. Momeni’s research legacy is rooted in her dedication to solving practical problems through precise scientific inquiry. As she continues to explore advanced materials and electrode technologies, her future work promises to delve deeper into biosensor innovation and multi-ion detection systems. Her mentorship of young scientists and contributions to curriculum development ensure that her impact extends beyond the lab, inspiring the next generation of chemists and researchers.

Publication

  • Spectrophotometric determination of mercury in water samples after cloud point extraction using nonionic surfactant Triton X-114 – A Niazi, T Momeni-Isfahani, Z Ahmari – 2009

 

  • Decolorization of crystal violet from aqueous solutions by a novel adsorbent chitosan/nanodiopside using response surface methodology and artificial neural network-genetic – SG Nasab, A Semnani, A Teimouri, MJ Yazd, TM Isfahani, S Habibollahi – 2019

 

  • Removal of Congo red from aqueous solution by hydroxyapatite nanoparticles loaded on zein as an efficient and green adsorbent: response surface methodology and artificial – S Ghanavati Nasab, A Semnani, A Teimouri, H Kahkesh, … – 2018

 

  • Development of an optical chemical sensor based on 2-(5-bromo-2-pyridylazo)-5-(diethylamino) phenol in Nafion for determination of nickel ion – MK Amini, T Momeni-Isfahani, JH Khorasani, M Pourhossein – 2004

 

  • Prediction of oral acute toxicity of organophosphates using QSAR methods – M Kianpour, E Mohammadinasab, TM Isfahani – 2021

 

  • Spectrophotometric determination of acidity constants of 2-(2-Thiazolylazo)-Cresol in various water–organic solvent media mixtures using chemometrics methods – T Momeni-Isfahani, A Niazi – 2014

 

  • Superparamagnetic core‐shell metal–organic framework Fe3O4@Ni‐MOF as efficient catalyst for oxidation of 1,4‐dihydropyridines using hydrogen peroxide – M Janani, MA Senejani, TM Isfahani – 2021

 

  • Hofmann N‐alkylation of aniline derivatives with alcohols using ferric perchlorate immobilized on SiO2 as a catalyst through Box–Behnken experimental design – M Ghanimati, M Abdoli Senejani, TM Isfahani, MA Bodaghifard – 2018

 

  • Quantitative Structure-Property Relationship (QSPR) investigation of camptothecin drugs derivatives – N Ahmadinejad, F Shafiei, TM Isfahani – 2018

 

  • Application of robust syringe-to-syringe dispersive liquid-phase microextraction method for preconcentration and determination of mercury with the aid of an experimental design – M Hayati, M Ramezani, G Rezanejade Bardajee, T Momeni Isfahani – 2022

 

✅ Conclusion

Dr. Taherh Momeni Isfahani exemplifies the qualities of a dedicated and innovative researcher. Her consistent focus on solving real-world problems through advanced sensor technologies, coupled with her academic contributions and recent recognition at an international level, makes her an ideal candidate for the Best Researcher Award. Her work not only advances the field of analytical chemistry but also inspires future research aimed at practical, impactful solutions in healthcare and environmental monitoring. With her strong academic foundation, innovative mindset, and growing influence, Dr. Momeni is poised to continue making meaningful contributions to science and society.