Virginia Lam | Student diversity and development| Excellence in Research

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Dr. Virginia Lam | Student diversity and development| Excellence in Research

Dr. Virginia L. Lam is a Senior Lecturer in the School of Psychology at the University of Roehampton, London, where she also leads the MSc Psychology programme. With a PhD in Psychology from Goldsmiths University of London, her research spans bilingual identity, ethnic development, intergenerational adaptation, and child psychology. Her academic journey includes over two decades of teaching and leadership roles at the University of East London and Open University. Dr. Lam has led several externally funded projects focusing on multilingualism, emotional wellbeing, and cultural identity in educational settings. She is currently an Associate Editor for the Social Development journal and plays a key role in curriculum development, student mentoring, and ethical oversight. Her work blends psychological theory with social impact, promoting inclusive education and cultural understanding. A highly regarded supervisor and examiner, Dr. Lam continues to inspire through scholarship, teaching innovation, and impactful research in developmental and social psychology.

Profile

🎓 Education

Dr. Lam holds a PhD in Psychology from Goldsmiths University of London (2003), with a thesis on ethnic identity development in middle childhood. She earned a Master of Science (MRes) in Psychological Research Methods with Distinction from Exeter University in 1999 and a BA (Hons) in Psychology from Cardiff University in 1998, graduating with Upper Second Class Honours. In addition to her core academic qualifications, she completed a Postgraduate Certificate in Teaching and Learning in Higher Education at the University of East London in 2004, enhancing her pedagogical proficiency. This combination of high-level training in both psychological research and education forms the foundation of her interdisciplinary approach, integrating rigorous methodology with applied practice in developmental, social, and bilingual psychology. Her educational background underpins her role as a researcher-practitioner, enabling her to navigate and contribute to complex psychological and educational environments with expertise and innovation.

🧪 Experience

Dr. Lam’s academic career spans over two decades, including her current role as Senior Lecturer at Roehampton University (2021–present), where she also leads the MSc Psychology and MSc Developmental Psychology programmes. She coordinates research initiatives, ethics review, and curriculum development. Previously, she served at the University of East London from 2004 to 2021 in various capacities, including Programme Leader for BSc Child Psychology and Senior Lecturer, overseeing curriculum design, accreditations, and change management. Earlier roles include associate lectureships at the Open University and a research assistant post at Goldsmiths. Her expertise includes teaching developmental psychology, lifespan development, and self & identity, with strong administrative leadership, student engagement strategies, and cross-institutional collaboration. Dr. Lam also serves as Associate Editor of the Social Development journal, engaging in peer review, editorial decisions, and academic convening. Her sustained excellence in teaching, supervision, research, and programme management reflects a dynamic and impactful career in higher education.

🏅 Awards and Honors

Dr. Lam has earned recognition through multiple competitive research grants and leadership roles that reflect her academic distinction. She has secured funding from prestigious institutions such as the Economic and Social Research Council (ESRC), the British Psychological Society (BPS), the Methodist Trust, and the Arts and Humanities Research Council (AHRC). These awards supported projects on bilingual development, emotional wellbeing in multilingual families, and cross-sector educational adaptation. Her successful RKE bids highlight her ability to lead interdisciplinary, collaborative research with practical societal impact. In 2025, she assumed the role of Associate Editor of Social Development, an honor that underscores her research credibility and scholarly influence. She has also been an invited viva chair and examiner for numerous PhD theses across institutions. Additionally, her consistent involvement in ethics committees, curriculum validation panels, and student progression frameworks reflects peer recognition of her commitment to academic excellence and institutional development.

🔬 Research Focus

Dr. Virginia Lam’s research focuses on identity development in multilingual and multicultural contexts, particularly among children and adolescents. Her work investigates how language, culture, and ethnicity shape self-concepts and psychological wellbeing, especially within educational systems. She leads interdisciplinary projects on emotional wellbeing among adult ESOL learners, the cultural adaptation of complementary language schools, and bilingual identity formation among diasporic populations. Methodologically, her studies integrate qualitative and mixed-method approaches, often engaging community partners and schools to bridge academic research with real-world practice. Her earlier longitudinal studies explored executive function, attention control, and cognition in bilingual children, contributing to the understanding of developmental advantages in diverse learning environments. Dr. Lam also supervises PhD projects on intersectionality, trauma, minority mental health, and self-esteem, fostering emerging research in identity, culture, and social equity. Her scholarly contributions are grounded in psychological theory yet extend to civic engagement and inclusive pedagogical innovations in higher education.

✅ Conclusion

Dr. Virginia L. Lam exemplifies academic excellence through her leadership in multilingual identity research, curriculum innovation, and impactful psychological education, making her a valuable scholar in developmental and social psychology.

Publications

  • Academic Behavioural Confidence: The Role of Demographic, Institutional, Psychosocial, and Behavioural Factors Across Diverse University Students in England

    Psychology International
    2025-05-20 | Journal article
    DOI: 10.3390/psycholint7020039
    Part ofISSN: 2813-9844
    CONTRIBUTORS: Virginia L. Lam; Paulina Taylor

  • Growing up bilingual through a pandemic: Children’s language exposure, proficiency, social identities, and competences pre- and post-lockdowns

    INTERNATIONAL JOURNAL OF BILINGUALISM
    2024-08-06 | Journal article | Author
    DOI: 10.1177/1367006924124093

    SOURCE-WORK-ID:

    34db72df-a7e8-4e8c-b0a3-961e86ef563c

    2-s2.0-85201010050

    CONTRIBUTORS: Layal Husain; Virginia Lam; Martin Pinder

  • Depth of emotional experiencing and outcome in therapy with young people

    Psychology and Psychotherapy: Theory, Research and Practice
    2024-06-12 | Journal article
    DOI: 10.1111/papt.12537
    Part ofISSN: 1476-0835
    Part ofISSN: 2044-8341
    CONTRIBUTORS: Darcy Geyer; Virginia Lam; Hannah Gilbert; Mick Cooper

  • On return to school: disorder symptoms, stress at home and evaluations of school COVID-19 measures

    Journal of Child & Adolescent Mental Health
    2024-04-18 | Journal article | Author
    DOI: 10.2989/17280583.2023.2290647
    Part of ISSN: 1728-0583
    Part of ISSN: 1728-0591
    CONTRIBUTORS: Virginia Lam; Mandy F. O’Driscoll

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

Tran Chau My Thanh | Neuroscience | Young Scientist Award

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Dr. Tran Chau My Thanh | Neuroscience | Young Scientist Award

Dr. Tran Chau My Thanh, a dedicated researcher at Duy Tan University, Vietnam 🇻🇳, holds a medical degree and Ph.D. from Hue University of Medicine and Pharmacy 🎓. Her work bridges the gap between clinical medicine and molecular biology 🧬. With a strong passion for translational research, she focuses on using bioinformatics and genomic tools for early diagnosis and targeted therapy development for diseases like cancer, diabetes, and cardiovascular disorders 💉. Through CRISPR/Cas9 and RNA networks, she aims to revolutionize patient-specific treatment pathways 🚀. Her extensive lab experience, scholarly publications, and ongoing innovations make her a promising leader in biomedical science 🏅.

Profile

Education 🎓

Dr. Thanh earned her Medical Degree (M.D.) from Hue University of Medicine and Pharmacy 🏥 and went on to complete her Doctorate (Ph.D.) in the same prestigious institution 🎓. Her education was deeply rooted in both clinical and research training, equipping her with a comprehensive understanding of human health and disease 🧠. Throughout her academic journey, she focused on genomics, molecular medicine, and biotechnology 🔬. The rigorous curriculum and hands-on exposure in advanced labs trained her in modern diagnostic tools and therapeutic innovations ⚙️. She also mastered computational biology and molecular interactions, forming a solid foundation for her groundbreaking work in RNA regulation and gene editing technologies such as CRISPR/Cas9 🧪.

Experience 👨‍🏫

Dr. Thanh brings rich experience as a medical doctor and academic at Duy Tan University 🏫. Her research career spans multiple roles in molecular diagnostics, bioinformatics, and therapeutic innovation 🧬. She has led studies on disease biomarkers, participated in international collaborations 🌐, and worked extensively with cell lines, recombinant DNA, and next-gen sequencing data 🔍. Her proficiency in wet lab and dry lab environments empowers her to integrate experimental biology with computational modeling 🧫💻. Alongside mentoring students and publishing SCI-indexed research, she contributes to translational medicine by connecting bench science to bedside applications, helping advance precision medicine for critical illnesses 💡.

Awards & Recognitions 🏅

Dr. Thanh is a nominee for the Young Scientist Award by the International Cognitive Scientist Awards 🧠🏆. Her impactful work on circular RNAs, miRNAs, and disease biomarker networks has garnered international recognition 🌍. She’s been acknowledged in high-impact journals for discoveries related to coronary heart disease and cancer diagnostics 📖. Her scholarly articles are indexed in SCI and Scopus, and she continues to influence the biomedical community through conference presentations, peer reviews, and academic collaborations 🤝. As a rising figure in molecular biology, her research promises transformative outcomes for early disease detection and targeted therapies 🧬✨.

Research Interests 🔬

Dr. Thanh’s research explores circRNA/miRNA/mRNA interactions, protein-protein networks, and gene function analysis 🧬🧠. She is driven by the quest to discover novel biomarkers for early diagnosis of complex diseases such as cancer, stroke, and diabetes 💊. Her focus includes CRISPR/Cas9 gene editing, molecular docking, and simulations for drug discovery and target validation 💻🧪. She also builds interaction networks to map LncRNA/CircRNA/miRNA/gene/protein-drug relationships, contributing to personalized medicine approaches 🎯. Through bioinformatics, she decodes gene expression dynamics and immune infiltrations to enable efficient diagnostics and therapeutics 💡. Her ultimate goal is to bridge computational biology with translational research for global health improvement 🌐💚.

Publications 

1. Hsa_circRNA_0000284 acts as a ceRNA to participate in coronary heart disease progression
by sponging miRNA-338-3p via regulating the expression of ETS1
2. Identification of hsa_circ_0001445 of a novel circRNA-miRNA-mRNA regulatory network as
potential biomarker for coronary heart disease
3. Potential diagnostic value of serum microRNAs for 19 cancer types: a meta-analysis of
bioinformatics data

Elsa Pittaras | Neuroscience | Women Researcher Award

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Dr. Elsa Pittaras | Neuroscience | Women Researcher Award

Elsa Pittaras is a Basic Life Research Scientist at Stanford University, specializing in neuroscience, cognition, and sleep research. With expertise in molecular biology, neuroanatomy, pharmacology, and behavior, she has extensively studied decision-making processes in mice. Her research has contributed significantly to understanding sleep deprivation’s effects on cognition and memory in Down Syndrome and Alzheimer’s disease models. She has published multiple papers as both first and last author, showcasing her leadership in neuroscience. Elsa’s goal is to advance research on mood disorders, cognition, and neurochemistry, aspiring to become an independent researcher in the U.S. 🇺🇸🔬🧠

Profile

Education 🎓

Elsa Pittaras earned a B.S. in Physiology from the University of Caen (2010), an M.S. in Neuroscience from the University of Paris Sud and ENS Cachan (2012), and a Ph.D. in Neuroscience from Neuro-PSI and the Biomedical Research Unit of the French Army (2016). Her multidisciplinary foundation in biology, physics, chemistry, and mathematics from Châtelet, Douai (2009) laid the groundwork for her neuroscience expertise. Throughout her education, she focused on decision-making, sleep deprivation, and neurochemical mechanisms in cognition. 🧠📚🎓

Experience 👨‍🏫

Elsa Pittaras has been a Basic Life Research Scientist at Stanford University since 2022, focusing on cognitive enhancement in Down Syndrome and Alzheimer’s disease models. She was a Postdoctoral Fellow at Stanford (2017-2022), investigating sleep and circadian rhythms’ effects on memory. Previously, she conducted research at the Biomedical Research Unit of the French Army (2016-2017) and completed her Ph.D. at Neuro-PSI. Her career includes internships in neuroscience at Neuro-PSI (2011-2012) and clinical observations at CHU Caen (2010). 🏛️🧬🧪

Research Interests 🔬

Elsa’s research explores decision-making, memory, and sleep in neurodevelopmental disorders. She pioneered the Mouse Gambling Task, revealing individual decision-making strategies. Her Ph.D. identified neurochemical markers of decision-making behaviors and the effects of sleep deprivation. At Stanford, she investigates sleep’s impact on cognition in Down Syndrome and Alzheimer’s models, aiming to improve memory and sleep quality through pharmacological interventions. Her work bridges behavioral neuroscience with neurochemistry to enhance cognitive function. 🧠💡🛌

Awards & Recognitions 🏅

Elsa has received prestigious grants, including the Jerome Lejeune Research Grants (2019, 2020), the Fyssen Foundation Research Grant (2017), and travel awards for conferences such as T21RS (2021) and Advances in Sleep and Circadian Science (2019). She was also recognized by the French Society for Research and Sleep Medicine (2014) and received a European Neuroscience Federation travel award (2016). 🏅

Publications 

  • Selectively Blocking Small Conductance Ca2+-Activated K+ Channels Improves Cognition in Aged Mice.

  • Short-term γ-aminobutyric acid antagonist treatment improves long-term sleep quality, memory, and decision-making in a Down syndrome mouse model

  • Behavioral and Neuronal Characterizations, across Ages, of the TgSwDI Mouse Model of Alzheimer’s Disease.

  • Inter-individual differences in cognitive tasks: focusing on the shaping of decision-making strategies

  • Handling, task complexity, time-of-day, and sleep deprivation as dynamic modulators of recognition memory in mice

  • Enhancing sleep after training improves memory in down syndrome model mice

 

Xiuwei Zhang | Psychology | Best Researcher Award

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 Dr. Xiuwei Zhang | Psychology | Best Researcher Award

Xiuwei Zhang, PhD, is a researcher at Hefei University of Technology, specializing in traffic behavior and psychology. She holds a doctoral degree from Hefei University of Technology, where her work focuses on improving traffic safety through behavioral psychology methods. Zhang’s research addresses critical issues such as driver behavioral changes and children’s perception of street crossing hazards. She is deeply involved in advancing traffic safety by understanding how people interact with traffic environments, with an emphasis on psychological cognition. Zhang has also contributed significantly to the field through several published papers and patents, aiming to enhance both driver and pedestrian safety. With an established academic career and passion for traffic psychology, Zhang aims to provide actionable solutions to improve road safety globally.

Profile

Education 🎓

Xiuwei Zhang completed her undergraduate studies at Qingdao University of Science and Technology. She pursued her master’s and doctoral degrees at Hefei University of Technology, where she focused on traffic behavior and psychology. During her time at Hefei, Zhang developed a deep understanding of how psychological factors influence road safety, particularly in the context of driver behavior and children’s traffic hazard perception. Her academic training has allowed her to integrate cognitive psychology with transportation safety, paving the way for innovative solutions to reduce traffic-related accidents. Zhang’s educational background in this interdisciplinary field has made her a strong proponent of using behavioral psychology to improve urban traffic environments, with her research significantly contributing to traffic safety science.

Experience 👨‍🏫

Xiuwei Zhang has experience conducting impactful research on traffic psychology at Hefei University of Technology, where she has worked on driver behavior, risk perception, and children’s safety while crossing streets. She contributed to multiple key projects, such as the optimization of urban road intersections using intelligent detection and the evolution of driver’s risk perception in co-driving vehicles. Zhang participated in developing local and national standards, such as the “Evaluation Standard for Driver Takeover Ability of Autonomous Vehicles.” Her patents include solutions for assessing and preventing conflicts between human-vehicle interactions in signal intersections. Additionally, Zhang’s academic role extends to reviewing papers for Transportation Research Part F: Traffic Psychology and Behavior. She is an active participant in cutting-edge research projects, such as the National Natural Science Foundation of China and Anhui Province’s housing and urban development projects, focusing on making roads safer through innovative traffic designs and behavioral analysis.

Research Interests 🔬

Xiuwei Zhang’s research focuses on traffic behavior and psychology, with particular attention to driver behavior, children’s traffic safety, and cognitive biases in road environments. Her work aims to enhance the perception of road hazards, particularly among children, and to improve road safety through behavioral psychology techniques. One of her significant contributions is the study of children’s perception of street-crossing risks under visually occluded conditions, providing valuable insights into how environmental factors impact traffic behavior. Zhang’s research on driver behavior changes, particularly in co-driving scenarios with automated vehicles, seeks to develop better risk perception strategies to improve safety on the roads. Her interdisciplinary approach integrates traffic safety with cognitive science, making her work influential in both the practical and theoretical aspects of traffic safety. Zhang’s innovations also extend to the design of intelligent traffic systems and road intersections, contributing to the future of urban road safety in smart cities.

Awards & Recognitions 🏅

Xiuwei Zhang has received several prestigious awards and honors during her academic career, including the “Outstanding Graduate of the School Class of 2024” and multiple scholarships, such as the School Second Class Scholarship for the 2022-2023 academic year. Her excellence as a volunteer was recognized when she was named the “Outstanding Red Cross Volunteer” of Qingdao West Coast New District in 2018. Zhang’s consistent academic achievements are highlighted by her scholarships across multiple years and her significant contributions as a member of the Auto Traffic College Institute Graduate Student Association. These accolades reflect her dedication to research, teaching, and community service. Zhang’s awards demonstrate her potential as a leader in traffic safety research and behavioral psychology, highlighting her academic excellence and contributions to improving road safety.

Publications 📚

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