Zhang Shuangqing | cognition | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Zhang Shuangqing | cognition | Best Researcher Award

Dr. Shuang-Qing Zhang is a distinguished professor at the Department of Nutrition and Metabolism, National Institute for Nutrition and Health, Chinese CDC, Beijing. With a robust academic background in pharmaceutics and over two decades of research experience, he has significantly contributed to the fields of pharmacokinetics, nutritional toxicology, and functional food safety. His global expertise is enriched through international collaborations, notably as a visiting senior fellow at the National University of Singapore and postdoctoral research in the USA. Dr. Zhang is a prolific author with numerous high-impact publications and is a respected editor across 20+ international journals. His research interests span selenium and cognitive function, nanoparticle drug delivery, and health food safety evaluation. He actively serves on multiple scientific committees and advisory boards in China. Through his innovative projects and policy-informing studies, Dr. Zhang continues to shape national nutrition, drug safety, and public health discourse.

Profile

🎓 Education

Dr. Shuang-Qing Zhang holds a Ph.D. in Pharmaceutics from Peking University (2002–2005), after earning both B.S. and M.S. degrees in Pharmaceutics from Shenyang Pharmaceutical University (1995–2002). His academic foundation was solidified through extensive training in drug formulation, pharmacokinetics, and pharmaceutical sciences. He further advanced his expertise as a postdoctoral researcher at the University of Mississippi and Texas Tech University (2005–2008), focusing on drug metabolism and toxicokinetics. In 2013–2014, he served as a Visiting Senior Research Fellow at the Yong Loo Lin School of Medicine, National University of Singapore, where he explored translational nutrition research. This diverse and international academic training underpins his authoritative voice in pharmaceutics, toxicology, and nutrition science, and continues to inform his interdisciplinary research on health food safety, pharmacodynamics, and nanomedicine.

🧪 Experience

Dr. Zhang began his professional journey as a postdoctoral researcher in the United States before returning to China as an Associate Professor at the National Institutes for Food and Drug Control (2010–2012), specializing in drug metabolism and safety. Since 2012, he has been a Professor at the Chinese CDC’s Department of Nutrition and Metabolism, leading pioneering work in nutritional toxicology, pharmacokinetics, and health food evaluation. He serves as an expert evaluator for China’s major scientific funding and regulatory agencies, including the National Natural Science Foundation and Ministry of Science and Technology. Dr. Zhang also plays advisory roles in national health committees related to environmental mutagens and food safety. His dedication extends to editorial duties for over 20 journals and authorship of influential monographs in toxicology and nutriomics. He actively mentors scholars, oversees major research grants, and contributes to national policy development in food and drug safety.

🏅 Awards and Honors

Dr. Zhang has earned national recognition through prestigious funding awards such as the National Natural Science Foundation of China, Scientific Research Foundation for Returned Overseas Chinese Scholars, and multiple provincial and national-level research programs. His leadership in interdisciplinary projects addressing osteoporosis, cancer drug development, and nanoparticle therapeutics has positioned him as a trusted advisor to government science bodies. In 2015 and 2019, he was a recipient of the National Publication Foundation Support for his authored books on nutriomics and medical foods. As an editorial board member and guest editor for numerous international scientific journals, Dr. Zhang has been honored for his editorial leadership and influence in the scientific publishing community. He is a Distinguished Professor at the Chinese Academy of Agricultural Sciences and a standing or core member of several scientific committees across nutrition, toxicology, pharmacology, and food science sectors.

🔬 Research Focus

Dr. Zhang’s research encompasses nutritional pharmacology, drug metabolism, toxicokinetics, and functional food safety. He is internationally recognized for his studies on selenium’s role in cognitive function, publishing extensively on selenium intake, pharmacokinetics, and its neuroprotective effects in aging populations. His lab investigates nanoparticle-based drug delivery systems, targeting conditions like postmenopausal osteoporosis and cancer, with a focus on osteoblast-specific biomimetic designs. Another focal point is the pharmacodynamics of poly(L-glutamic acid)-paclitaxel conjugates, offering solutions to multi-drug resistance. Dr. Zhang also leads efforts in evaluating the safety and bioavailability of functional foods, including selenium-, zinc-, and chromium-enriched yeasts, using advanced techniques like UPLC-MS/MS and ion chromatography. His interdisciplinary research integrates toxicology, nutrition, and pharmaceutical science to bridge clinical translation and public health applications, while also informing regulatory policy on dietary intake thresholds and novel drug safety assessments in China and beyond.

✅ Conclusion

Dr. Shuang-Qing Zhang is a globally respected professor and scientist whose impactful research on nutritional pharmacology, selenium neurobiology, and nanomedicine has significantly advanced food and drug safety, earning him national recognition, global collaborations, and editorial leadership.

Publications

1. Bai YZ, Gao YX, Zhang SQ*. Identification of factors on blood selenium levels
in the US adults: a cross-sectional study. Nutrients, 2024, 16(11): e1734.
2. Bai YZ, Zhang SQ*. Selenium intake is an effective strategy for the
improvement of cognitive decline in low cognition older Americans. Int J Food
Sci Nutr. 2024, 75(7): 687-694. (* corresponding author)
3. Bai YZ, Li JM, Zhang SQ*. A nonlinear association between total selenium
intake and blood selenium concentration: an analysis based on the National
Health and Nutrition Examination Survey 2011-2018. J Food Sci. 2024,
89(12): 9955-9967. (* corresponding author)
4. Li JM, Bai YZ, Liu QY, Zhang SQ*. Mediation effect of oxidative stress on the
association between selenium intake and cognition in American adults.
Nutrients, 2024, 16(23): e4163. (* corresponding author)

 

 

 

 

Huifang Wang | Neuroscience | Best Researcher Award

Published on by Cognitive Scientist Awards

 Dr. Huifang Wang | Neuroscience | Best Researcher Award

Huifang Elizabeth Wang is a leading research engineer at INSERM U1106, Aix-Marseille University, France, specializing in computational neuroscience. Her career bridges robotics, brain modeling, and clinical neuroscience, with a primary focus on personalized brain simulations for neurological and psychiatric conditions, notably epilepsy. With over a decade of postdoctoral research across top French and Italian institutes, she has contributed to projects integrating physics-based modeling, large-scale neural dynamics, and effective connectivity. Her academic journey started in robotics and control theory in China and evolved into advanced brain modeling in Europe. She collaborates with renowned neuroscientists like Dr. Viktor Jirsa and has authored numerous high-impact publications in Science Translational Medicine, The Lancet Neurology, and NeuroImage. As PI and co-leader in several EU and national projects, she aims to bridge basic brain science with clinical translation. Wang’s work is pivotal in creating virtual brain twins to personalize epilepsy surgery and psychiatric interventions.

Profile

🎓 Education

Huifang Elizabeth Wang obtained her Ph.D. in Pattern Recognition and Intelligent Systems from Beijing University of Technology in 2008, focusing on optimization algorithms for robotic motion under Prof. Chen Yangzhou. She earned her M.S. from the same institution in 2003, researching advanced traffic control strategies. Her undergraduate degree (B.S.) in Electronic Engineering was awarded by Shandong Institute of Light Industry in 2000. Complementing her engineering foundation, she undertook a research visit at LAAS-CNRS in Toulouse in 2007, developing time-optimal trajectories for car-like robots. Currently, she is finalizing her HDR (Habilitation à Diriger des Recherches) at Aix-Marseille University (Nov 2024) under the supervision of Dr. Viktor Jirsa, with a thesis on “Virtual Brain Twins.” Her education spans multiple disciplines and institutions, combining engineering, neuroscience, and clinical modeling. This interdisciplinary background underpins her leadership in personalized neural modeling and translational neuroscience research.

🧪 Experience

Wang is a Research Engineer at INSERM U1106, Aix-Marseille University (2017–present), leading work on virtual brain twins for clinical use in epilepsy and psychiatry. Prior, she was a Postdoc at the Institut du Cerveau (ICM), Paris (2016–2017), studying human neuron behavior with Pr. Vincent Navarro. At École des Mines de Saint-Étienne (2016), she helped develop a physiological SEEG atlas. From 2012–2016, she worked at INSERM U1106 on brain connectivity under Drs. Bernard and Jirsa. Earlier, she researched robotic control and planning at the University of Pisa (2008–2010) in Prof. Antonio Bicchi’s group. Her expertise spans brain modeling, robotics, and neuroscience, with leadership in multi-institutional EU-funded projects. She has served as PI and co-leader in several major efforts like the Human Brain Project and EPINOV. Her interdisciplinary experience uniquely equips her to bridge theory, technology, and medicine in brain modeling applications.

🏅 Awards and Honors

Huifang Elizabeth Wang has earned prestigious research roles and leadership positions in major European and national initiatives. She is PI for the AMIDEX-funded HR-VEP project and WP4 leader in the Horizon RIA Virtual Brain Twin initiative (2024–2027). Her projects have been supported by the Human Brain Project, France 2030, and Horizon Europe. She served as co-task leader in HBP’s epilepsy-focused work packages and trial coordinator in EPINOV RHU, a national clinical modeling trial. Her work on brain modeling has been published in high-impact journals, underscoring her scientific excellence. She has collaborated with pioneers like Karl Friston and Viktor Jirsa, advancing the fields of functional connectivity and computational neuroscience. Additionally, she has been granted funding by institutions such as Fondation Recherche Médicale and Ligue Française contre l’Épilepsie, recognizing her contributions to translational neuroscience and computational modeling in clinical applications.

🔬 Research Focus

Wang’s research centers on developing personalized virtual brain models to understand and treat brain disorders such as epilepsy and psychiatric conditions. She specializes in large-scale neural modeling using neural mass and field models, enabling individual-specific simulations—a concept known as “virtual brain twins.” Her work integrates multimodal neuroimaging data (e.g., SEEG, MRI) with computational frameworks to predict surgical outcomes and guide interventions. As part of projects like VEP Atlas, EPINOV, and EBRAINS, she builds anatomical-functional atlases for clinical use. She also advances Bayesian techniques for parameter estimation in brain modeling. Her research bridges basic neuroscience with translational applications, using virtual brains to delineate epileptogenic zones and simulate drug-resistant epilepsy spread. In psychiatric disorders, her focus includes simulating and analyzing network dysfunction to support precision psychiatry. By blending machine learning, dynamical systems, and neuroinformatics, Wang’s work pioneers a new frontier in personalized medicine using brain simulations.

✅ Conclusion

Dr. Huifang Elizabeth Wang is an interdisciplinary researcher transforming clinical neuroscience through virtual brain modeling, combining engineering precision with neuroscientific insight. Her pioneering work in virtual brain twins supports individualized diagnosis and treatment of epilepsy and psychiatric disorders, representing a significant advance in precision medicine. With extensive experience, numerous publications, and leadership in high-impact research projects, she bridges theory and practice. Her scientific vision and collaborative leadership continue to shape the future of computational neuroscience and neurotechnology for patient care worldwide.

Publications

Ata Jahangir Moshayedi | Brain Stimulation | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Ata Jahangir Moshayedi | Brain Stimulation | Best Researcher Award

Dr. Ata Jahangir Moshayedi is an Associate Professor at Jiangxi University of Science and Technology 🇨🇳 with a PhD in Electronic Science 🎓 from Savitribai Phule Pune University 🇮🇳. He is a prolific academic 🧠 with over 90 publications 📚, three authored books 📖, two patents 🧾, and nine copyrights 📝. A distinguished member of IEEE ⚡, ACM 💻, Instrument Society of India 🧪, and Speed Society of India 🚀, he contributes to editorial boards 🗞️ and international conferences 🌐. His interdisciplinary expertise bridges robotics 🤖, AI 🤖, VR 🕶️, and embedded systems 🔧, driving innovation in education and technology 🚀.

Profile

Education 🎓

Dr. Moshayedi earned his PhD in Electronic Science from Savitribai Phule Pune University 🇮🇳, specializing in robotics and automation 🤖. His educational path is deeply rooted in multidisciplinary technologies like embedded systems 🔧, machine vision 👁️, and AI 🧠. With academic training grounded in both theory 📘 and application 🛠️, he cultivated expertise across digital systems 💡 and bio-inspired robots 🦾. He integrates engineering principles with computer science 💻 to develop cutting-edge innovations in virtual and intelligent systems 🌍. His educational achievements laid the foundation for his impactful career in academic research and mentoring 📈.

Experience 👨‍🏫

Dr. Moshayedi has served as Associate Professor at Jiangxi University of Science and Technology 🇨🇳 since 2018. He leads modules in Robotics 🤖, Embedded Systems 💻, and Digital Image Processing 📷. He supervises UG and PG research 🧪, formulates grant proposals 💡, and serves as a module leader and tutor across advanced computer engineering courses 🧑‍🎓. His role includes designing learning materials 📘, aligning curriculum with accreditation standards 🎯, and evaluating student performance 🎓. He has extensive teaching experience in C/C++ programming 💾, algorithm analysis 📊, and mobile app programming 📱, ensuring comprehensive academic development.

Awards & Recognitions 🏅

🥇2024: Best Mentor, Jiangxi University 👨‍🏫 | 🏅2022: Book Award (Unity in Embedded System Design and Robotics) 📖 | 🥉2022: 3rd National & 1st Provincial Prize, Handy Pipe Detector, China Computer Design Competition 🛠️ | 🥉2021: 3rd National & 2nd Provincial, PEA Project (Pandemic Exam Assistant) 🧪 | 🏆2021: Innovation Award, Iran National Festival 🌍 | 🥉2021: 3rd National & 2nd Provincial, RDK Cloud Robot, Intelligent Service Robot Challenge ☁️🤖 — All reflecting his excellence in guiding innovation, mentoring students 👨‍🎓, and advancing global tech competitions 🌐.

Research Interests 🔬

Dr. Moshayedi’s research integrates robotics 🤖, AI 🧠, and embedded systems 🔧. His work on bio-inspired robots 🐜, mobile robot olfaction 👃, and sensor modeling 🧪 explores intelligent perception and environmental interaction 🌫️. He develops machine vision-based systems 👁️, virtual reality environments 🕶️, and smart embedded architectures 🖥️. His focus on plume tracking 🌬️ and cloud robotics ☁️ brings autonomous systems closer to real-world application. Merging theory and practice 🔍, his research propels innovation across intelligent systems, cyber-physical interaction 🌐, and real-time automation, making significant strides in modern engineering and applied AI 🤖.

Publications