Zhang Shuangqing | cognition | Best Researcher Award

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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)

 

 

 

 

Cheng Cheng | Emotion and Cognition | Best Researcher Award

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Assist. Prof. Dr. Cheng Cheng | Emotion and Cognition | Best Researcher Award

Dr. Cheng Cheng is a lecturer at the Brain and Cognitive Neuroscience Research Center, Liaoning Normal University, with a Ph.D. in Computer Science from Dalian University of Technology (2024). Her interdisciplinary expertise lies in affective computing, neural signal processing, and mental health assessment using EEG data. She leads research integrating spatiotemporal and multimodal analysis for emotion recognition and depression detection. Dr. Cheng is recognized for proposing the SASD-MCL model to enhance EEG-based emotion recognition in scenarios with limited annotations. Her publications appear in reputed journals in machine learning and neuroscience. As a committed educator and lab leader, she mentors students, oversees collaborative projects, and contributes to knowledge dissemination across AI and cognitive science domains. She actively participates in academic forums and maintains professional memberships in cognitive computing and brain research societies. Dr. Cheng’s work stands at the intersection of artificial intelligence and human emotion, contributing to advancements in mental health technologies.

Profile

🎓 Education

Dr. Cheng Cheng received her Ph.D. in Computer Science from Dalian University of Technology in 2024, where her dissertation focused on EEG-based affective computing and mental health applications. During her doctoral studies, she specialized in deep learning, neural signal processing, and cross-domain adaptation models. Her academic training included a rigorous foundation in artificial intelligence, biomedical data analysis, and advanced computational neuroscience. Prior to her Ph.D., she completed her undergraduate and postgraduate studies in Computer Science with distinction, building a strong base in algorithm development and machine learning. Her education journey combined theoretical learning with practical projects and industry collaborations, preparing her for cross-disciplinary research in cognitive science. Through coursework, research assistantships, and conference participations, she gained expertise in cutting-edge neural decoding techniques, emotion modeling, and multimodal data fusion. Dr. Cheng continues to apply her educational background to develop innovative models that bridge brain signal processing and artificial intelligence.

🧪 Experience

Dr. Cheng Cheng is currently serving as a lecturer at the Brain and Cognitive Neuroscience Research Center, Liaoning Normal University, where she also leads a neuroscience and AI-integrated research lab. She has experience supervising postgraduate students, conducting collaborative research, and publishing peer-reviewed work in SCI-indexed journals. Her professional journey includes the development of the SASD-MCL framework for EEG-based emotion recognition and participation in multi-domain research initiatives aimed at improving mental health diagnostics. As a lab leader, she promotes interdisciplinary cooperation between neuroscientists and machine learning experts. Dr. Cheng has participated in national and university-funded research projects and regularly presents at conferences focused on cognitive computing and brain signal interpretation. Her previous roles include research assistantships during her doctoral program, where she refined her expertise in neural signal processing and cross-subject learning models. With a deep interest in innovation, she continues to enhance the accuracy and generalizability of emotion detection systems.

🏅 Awards and Honors

Dr. Cheng Cheng has been recognized for her outstanding contributions to affective computing and brain–AI interfacing. Her model SASD-MCL received academic commendation for significantly improving cross-subject EEG-based emotion recognition, achieving a 5.93% and 5.32% accuracy gain on SEED and SEED-IV datasets, respectively. She has received “Best Paper Presentation” at the International Conference on Cognitive Computing and Neural Interfaces and was awarded a Research Excellence Scholarship during her Ph.D. tenure. Her collaborative work on mental health diagnostics has been featured in top-tier journals, earning her invitations to join editorial boards and review panels. She is an active member of IEEE, the Chinese Association for Artificial Intelligence, and other neuroscience societies. Her leadership in mentoring young researchers and spearheading interdisciplinary projects has also been acknowledged by her institution. Nominated for the “Best Researcher Award,” Dr. Cheng continues to set benchmarks in neural data modeling, emotion AI, and computational mental health technologies.

🔬 Research Focus

Dr. Cheng Cheng’s primary research focus lies in affective computing, neural signal processing, and mental health assessment using EEG data. She integrates deep learning techniques with brain-computer interface (BCI) methodologies to improve the reliability and scalability of emotion recognition systems. Her SASD-MCL model, based on semi-supervised alignment and contrastive learning, addresses key challenges in cross-subject variability and label scarcity. By leveraging spatiotemporal features and multimodal EEG representations, she advances personalized and generalizable emotion detection systems. Her work also explores multi-domain adaptation and knowledge transfer in biomedical signal classification, enhancing robustness under limited supervision. Dr. Cheng’s research bridges neuroscience and artificial intelligence, contributing to innovations in automated mental health screening tools. She is currently involved in projects involving real-time emotion feedback and cognitive state monitoring using portable EEG devices. Her scientific vision aims to foster machine empathy through intelligent systems capable of understanding and responding to human emotions with clinical and social applications.

✅ Conclusion

Dr. Cheng Cheng exemplifies excellence in interdisciplinary research at the intersection of neuroscience and artificial intelligence. Her pioneering contributions to EEG-based emotion recognition and mental health assessment models offer robust, scalable solutions in affective computing. With a strong academic foundation, impactful innovations, and dedicated mentorship, she stands out as a deserving nominee for the Best Researcher Award.

Publications

Faheem Arshad | Cognitive Neurosciences | Best Researcher Award

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Dr. Faheem Arshad | Cognitive Neurosciences | Best Researcher Award

Dr. Faheem Arshad is an Assistant Professor of Neurology at the National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru. A leading cognitive neurologist in India, he specializes in dementia and neurodegenerative disorders. He played a pivotal role in establishing India’s first cognitive disorders registry at NIMHANS, integrating clinical and research excellence. Dr. Arshad is a Senior Atlantic Fellow for Equity in Brain Health at the University of California, San Francisco (UCSF), and the first fellow from South Asia. His research integrates neurogenetics, biomarkers, imaging, and clinical trials, with a focus on inclusivity and low-literacy populations. He actively contributes to national and international collaborations and holds leadership roles within Indian and global neurology communities. Committed to early diagnosis, caregiver support, and prevention strategies, his work aims to improve brain health equity in diverse settings. His ongoing studies explore social interaction, bilingualism, and digital tools in dementia management.

Profile

Education 🎓

Dr. Arshad received his foundational training in Internal Medicine (MD, 2014) at Sher-i-Kashmir Institute of Medical Sciences (SKIMS), Kashmir. He served as Registrar in Internal Medicine at AIIMS, New Delhi until 2016. He pursued advanced neurological training at the National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, earning a DM in Neurology (2019) and completing a Post-Doctoral Fellowship in Cognitive Neurosciences (2020). He furthered his expertise with a prestigious international fellowship in Global Brain Health Equity at the Global Brain Health Institute (GBHI), University of California, San Francisco (UCSF), USA in 2021. Dr. Arshad also holds the MRCP(UK) Neurology credential (2020), reflecting global competence. His multidisciplinary training spans cognitive neurology, imaging, biomarkers, and dementia prevention, equipping him with a holistic approach to brain health research and patient care.

Experience 👨‍🏫

Dr. Faheem Arshad’s professional journey spans over a decade of clinical, academic, and research excellence. He is currently Assistant Professor of Neurology at NIMHANS, Bengaluru, where he has led initiatives in cognitive neurology since 2021. His early training included roles as Junior and Senior Resident in Internal Medicine at SKIMS and AIIMS, followed by Neurology Residency and Postdoctoral Fellowship at NIMHANS. He became a faculty leader and Convener of the Cognitive Neurology subsection of the Indian Academy of Neurology in 2023. Internationally, he served as an Atlantic Fellow at UCSF’s GBHI (2020–2021), developing leadership in brain health equity. Dr. Arshad is a member of the American Academy of Neurology and other prestigious forums. He has published widely, initiated clinical trials, and built registries that bridge clinical insights with translational research. His work integrates social science, neurobiology, and global health in addressing dementia across underserved populations.

Awards & Recognitions 🏅

Dr. Faheem Arshad has received numerous recognitions for his contributions to neurology and dementia research. He was awarded the Bursary Award at the TSS International Neuropsychiatry Conference (2018) for his work on social cognition in Frontotemporal Dementia. As the first South Asian to become a Senior Atlantic Fellow for Equity in Brain Health at UCSF’s GBHI, he has been globally recognized for championing equity in dementia care and research. His appointment as Convener of the Cognitive Neurology subsection by the Indian Academy of Neurology in 2023 highlights his leadership within the national academic community. He holds the MRCP(UK) in Neurology and is an active member of prestigious societies, including the American Academy of Neurology. These honors reflect his ongoing commitment to research innovation, community-based care models, and international collaboration in the field of neurodegenerative disorders.

Research Interests 🔬

Dr. Faheem Arshad’s research focuses on dementia, particularly Frontotemporal Dementia (FTD), Alzheimer’s Disease, and related neurodegenerative conditions. He investigates cognitive reserve, biomarkers, social cognition, neuroimaging, and bilingualism in dementia resilience. His landmark projects include exploring the role of social interaction in FTD (GBHI-AA), plasmapheresis in Alzheimer’s (ICMR), cognitive testing in low-literacy settings, and bilingualism’s impact on cognitive reserve (NIH-funded). He co-leads a SERB-funded project using speech features for early dementia detection and a DBT-funded imaging study for vascular dementia diagnosis. He established India’s first cognitive disorders registry at NIMHANS, integrating socio-demographics, imaging, and biomarker data. His work bridges clinical neurology and public health, emphasizing inclusive research for underrepresented populations. A strong advocate for clinical trials in LMICs, his studies integrate AI tools, cross-cultural data, and longitudinal analyses to improve early diagnosis and therapeutic strategies in dementia care.

Publications

Grazia Ragone | Human-Computer Interaction | Best Researcher Award

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Dr. Grazia Ragone | Human-Computer Interaction | Best Researcher Award

🔬 Grazia Ragone is a researcher in Human-Computer Interaction (HCI) with a focus on autism and interactive systems. 🏫 She earned her PhD from the University of Sussex, UK, where she investigated social motor synchrony in autistic children through motion capture and sonification. 🎼 With a background in psychology, developmental science, and music therapy, she integrates interdisciplinary methods into assistive technology. 💻 She has extensive teaching experience in research methods, cognitive science, and HCI at the University of Sussex. 🏆 Her research has been recognized with multiple international awards, including Microsoft Research’s Best Student Research Competition. 🌍 She actively contributes as a reviewer and associate chair for HCI conferences and journals. 📖 Her work bridges psychology, technology, and education, aiming to enhance accessibility and interaction for neurodiverse individuals.

Profile

Education 🎓

She completed her PhD in 2023 at the University of Sussex, UK, where her research focused on autism, motion capture, and social motor synchrony. Prior to this, she earned an MSc in Psychological Methods from the University of Sussex in 2018, with a focus on autism and interactional features. She also holds an MPhil in Developmental Psychology from London Metropolitan University (2015), specializing in child development and interaction. In 2014, she completed her BSc in Developmental Psychology at London Metropolitan University, studying early cognitive and social development. She further enriched her expertise with a Master’s in Music & Art Therapy from Tor Vergata University in Rome (2006), where she focused on therapeutic interventions for individuals with special needs. Her academic journey began with a BA in Humanities from the University of Pavia, Italy (2004), where she studied philosophy, linguistics, and cultural studies.

Experience 👨‍🏫

From 2019 to 2023, she worked as a Teaching Assistant at the University of Sussex, UK, where she taught Human-Computer Interaction (HCI), research methods, and professional skills. Prior to this, she served as a Research Assistant at the University of Sussex (2016-2018), focusing on technology designed for neurodiverse children. From 2014 to 2016, she conducted research on autism and interactive environments at London Metropolitan University. Earlier in her career, she was a Research Assistant at CNR-ISTI Pisa, Italy (2008-2014), where she contributed to the development of assistive software for autistic children. Her experience also includes working as a Music Therapist for the Rome City Council (2005-2010), providing therapeutic interventions for autistic children. Additionally, from 2010 to 2019, she worked as a Trainer and Consultant, conducting workshops and training programs for professionals in the field of autism.

Research Interests 🔬

Her research focuses on Human-Computer Interaction (HCI) and autism, developing interactive systems to support neurodiverse individuals. She explores the role of music and sonification in enhancing motor and social skills through auditory feedback. Her work also includes investigating social motor synchrony using motion capture technology. She designs AI-powered assistive technology to support autistic children and applies user-centered design principles to create accessible interfaces for individuals with special needs.

Awards & Recognitions 🏅

She has received several prestigious awards and honors for her contributions to autism research and assistive technology. In 2021, she was awarded the Best Student Research Award by Microsoft Research at the ASSETS Conference. Her work was also recognized with the Best Work in Progress Award at the IDC Conference on autism research in 2020. In 2013, she received the Horizon Research Award from London Metropolitan University for outstanding research. Her contributions to autism research earned her a Massachusetts Senate Citation in 2012, and in 2011, she was honored with the Rotary Club Research Award from CNR Pisa for excellence in autism studies.

Publications 📚

  •  Supporting and understanding autistic children’s non-verbal interactions through OSMoSIS, a motion-based sonic system
    International Journal of Child-Computer Interaction
    2025-02 | Journal article
    DOI: 10.1016/j.ijcci.2025.100726
    CONTRIBUTORS: Grazia Ragone; Judith Good; Kate Howland

  • Child-Centered AI for Empowering Creative and Inclusive Learning Experiences

    Proceedings of ACM Interaction Design and Children Conference: Inclusive Happiness, IDC 2024
    2024 | Conference paper
    DOI: 10.1145/3628516.3661157

    EID:

    2-s2.0-85197894406

    Part ofISBN: 9798400704420
    CONTRIBUTORS: Ragone, G.; Ali, S.A.; Esposito, A.; Good, J.; Howland, K.; Presicce, C.

  • Designing Safe and Engaging AI Experiences for Children: Towards the Definition of Best Practices in UI/UX Design

    arXiv
    2024 | Other
    DOI: 10.48550/arXiv.2404.14218

    EID:

    2-s2.0-85192517180

    Part of ISSN: 23318422
    CONTRIBUTORS: Ragone, G.; Buono, P.; Lanzilotti,

Emmanuel Kaboja Magna | Cognitive | Cognitive Rehabilitation Impact

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Dr. Emmanuel Kaboja Magna | Cognitive | Cognitive Rehabilitation Impact

CSIR-Water Research Institute, Ghana

Dr. Emmanuel Kaboja Magna is a Research Scientist at the Fisheries and Aquaculture Division of the Council for Scientific and Industrial Research-Water Research Institute (CSIR-WRI). He earned his Bachelor’s degree in Biological Sciences (Oceanography and Fisheries) from the University of Ghana in 2007, followed by a Master’s degree in Health Informatics from the Kwame Nkrumah University of Science and Technology, Ghana, in 2014. He completed his PhD in Environmental Science in 2020 at the Institute for Environment and Sanitation Studies (IESS), University of Ghana. His doctoral research focused on the ecological and human health implications of contaminants linked to cage aquaculture on the Volta Basin of Ghana. He investigated the levels of polychlorinated biphenyls, organochlorine pesticides, and heavy metals in water, sediment, and cage tilapia, highlighting the ecological risks and pollution status of sediment, as well as the health risks of consuming such fish. Dr. Magna has also conducted research on solid waste, the impact of climatic variables on crop yield, malaria distribution, and a review of Ghana’s mental health policy. His research has resulted in thirteen publications in reputable international journals. Apart from his work at WRI, he has participated in various research activities focusing on pesticides, antibiotics, PBDEs, and PAHs in different environmental matrices, wastewater quality treatment, and reuse. He is known for his innovation, intellectual acumen, and high research curiosity. Dr. Magna has jointly supervised undergraduate students at several Ghanaian universities and serves as a reviewer for the international journal Food Chemistry Advances. He also has about eight years of teaching experience at the senior high school level.

 

Profile

Education

Dr. Emmanuel Kaboja Magna holds a PhD in Environmental Science from the University of Ghana, which he completed between 2016 and 2020. His doctoral thesis focused on the ecological and human health implications of contaminants linked to cage aquaculture in the Volta Basin of Ghana. He earned a Master’s degree in Health Informatics from Kwame Nkrumah University of Science and Technology (KNUST) in 2014, with his thesis exploring the implementation of Electronic Medical Record (EMR) systems at Tema General Hospital, addressing the potential benefits and challenges. Dr. Magna obtained his Bachelor’s degree in Oceanography and Fisheries from the University of Ghana in 2007, where he completed his dissertation on the application of GIS to coastal tourism in Ghana. He also completed his SSSCE in General Science at St. Mary’s Seminary Secondary School in 2001. In addition to his academic qualifications, Dr. Magna has earned several professional certificates, including a certificate in System Thinking for Sustainable Development in Ghana from the Institute for Environment and Sanitation Studies (IESS), University of Ghana, and North Carolina State, in June 2017. He also completed training on pesticide, PAH, PCB, and antibiotic analysis using LC-MS/MS and GC-MS at the Ghana Standard Authority in Accra from December 2017 to April 2018.

MERITORIOUS AWARDS

Dr. Emmanuel Kaboja Magna has received several meritorious awards and recognitions for his academic and professional achievements. In 2000, he was awarded the Distinguished Award for being the 3rd Year Best Mathematics Student at St. Mary’s Seminary Secondary School in Lolobi, Ghana. He has also been actively involved in outreach and community service. In 2023, he earned a Certificate of Excellence as the 1st Runner-up for a poster presentation at the FDA Scientific Forum, where he presented on the risk assessment of antibiotics in cultured Nile tilapia at Tema Roundabout. Additionally, he served as a panel discussant at the 2023 National Fish Festival on promoting safe fish consumption, as well as at the 2023 National Budget Dialogue on Agro-Based Policy Interventions focusing on Fisheries and Aquaculture. Dr. Magna has contributed to the review of manuscripts for peer-reviewed journals such as Food Chemistry Advances, Water, Air, & Soil Pollution, and Heliyon. His co-supervision of student dissertations includes work on the physicochemical and heavy metals analysis of the Birim River impacted by illegal small-scale mining, completed by Cecelia Asimah at the University for Development Studies in 2023.

Research Project

Dr. Emmanuel Kaboja Magna is currently involved in several research projects, including assessing the impact of environmental change on freshwater species in River Oti, studying algal dynamics in freshwater ecosystems in the Saboba districts, and conducting a comparative analysis of the nutritional composition of different fish species cultured in Ghana, all under the CSIR-WRI, Ghana. His coursework and research modules cover a wide range of topics, including coastal ecology, freshwater ecology, aquatic biology, aquaculture, biodiversity and conservation, fish stock assessment, coastal hydrology, marine biogeochemistry, environmental management, and coastal management, with a particular focus on community aspects. He has also studied advanced quantitative research methods, emerging environmental issues for the 21st century, coastal ecosystems of West Africa, and the applications of remote sensing and GIS to fisheries and marine science. Dr. Magna is affiliated with the Ghana Chemical Society (GCS) since 2017 and was a member of the Ghana National Association of Teachers (GNAT) from 2009 to 2016. He holds leadership positions as the Deputy Secretary of the CSIR-Research Staff Association of Ghana since November 2023 and was the President of the St. Mary’s Old Boys Association (UG Charter) from September 2006 to May 2007.

Publications