Cheng Cheng | Emotion and Cognition | Best Researcher Award

Published on by Cognitive Scientist Awards

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

Forshing Lui | Neurology | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Forshing Lui | Neurology | Best Researcher Award

Dr. For-Shing Lui, a U.S. citizen and licensed neurologist in California, the UK, and Hong Kong, is an esteemed academic and clinician with over four decades of international experience in neurology and internal medicine, currently serving as Professor of Neurology at California Northstate University College of Medicine (CNUCOM), where he contributes significantly to medical education, curriculum development, and professional regulatory boards.

Profile

Education 🎓

Dr. Lui completed his M.B.B.S. from the University of Hong Kong in 1978, followed by an internal medicine residency (1978–1982) at the same institution; he then undertook neurology fellowship training at Newcastle General Hospital, UK (1982–1984), and a neurology residency at UC Davis (1995–1999), also serving as Chief Resident; his qualifications include being a Diplomate of the American Board of Psychiatry and Neurology, Fellow of the Royal College of Physicians (Edinburgh), Fellow of the Hong Kong Academy of Medicine, and Fellow of the American Academy of Neurology.

Experience 👨‍🏫

Dr. Lui has served as Expert Consultant and Reviewer for the Medical Board of California, Professor and Course Director at CNUCOM since 2014, Chair of Clinical Sciences, and Vice Chair of Education; formerly, he was Staff Neurologist and Chief of Neurology at Kaiser Permanente, Clinical Professor at UC Davis, and practiced as a neurologist and internist in Hong Kong; his roles spanned clinical practice, academic leadership, curriculum design, quality assurance, and international consultancy.

Awards & Recognitions 🏅

Dr. Lui received the 2022 A.B. Baker Teacher Recognition Award from the American Academy of Neurology, the ITLE University Distinguished Teacher Award in 2021, and multiple CNUCOM Professor of the Year Awards (2019–2023); his national recognitions include listings in America’s Top Physicians and Sacramento Magazine’s Top Doctors; he won the Croucher Fellowship (1982), John Anderson Gold Medal (1978), and several medical school scholarships for academic excellence, including the Li Shu Fan Prize in Pharmacology.

Research Interests 🔬

Dr. Lui’s academic and clinical interests lie in neurology education, vascular neurology, neuroimaging, and multiple sclerosis, with a deep commitment to medical pedagogy and curriculum leadership; his research integrates neurodiagnostic techniques with clinical neurology, particularly in imaging-based teaching, and he has presented regularly at neuroradiology conferences and contributed to educational innovation in neurology training at both Kaiser Permanente and CNUCOM, reflecting a lifelong dedication to mentoring, patient care, and advancing neurologic knowledge.

Publications

Kadir Uludag | Educational Psychology | Educational Psychology Impact

Published on by Cognitive Scientist Awards

Dr. Kadir Uludag | Educational Psychology | Educational Psychology Impact

Dr. Kadir Uludag is a postdoctoral researcher in psychology with a Ph.D. in Applied Psychology from the University of Chinese Academy of Sciences. His research bridges schizophrenia, brain imaging, and educational psychology. Dr. Uludag is passionate about disseminating scientific knowledge through his personal website (ifx0.com/psychology), YouTube channel (youtube.com/boooringlearning), and as the founder of the open-access journal Novelty in Psychology. He has published extensively, including 12 Web of Science (Q1) and 21 Scopus-indexed works, and serves on the editorial boards of 24 international journals. With over 670 manuscript reviews listed on ORCID, he has received multiple awards recognizing his scientific contributions. Dr. Uludag also manages four ongoing book projects. Skilled in Python-based machine learning and data analysis tools, he is eager to collaborate on innovative research that contributes meaningfully to psychology and society.

Profile

Education 🎓

Dr. Uludag earned his Ph.D. in Applied Psychology from the University of Chinese Academy of Sciences (2019–2023, GPA 3.93), focusing on brain imaging and mental health. He completed an M.A. in Forensic Sciences (Social Sciences) from Istanbul University (2016–2018, GPA 3.61), where he developed a strong foundation in psychological evaluation in legal settings. His undergraduate degree in Psychological Counseling and Guidance was obtained from Çanakkale Onsekiz Mart University (2012–2016, GPA 3.30), complemented by an associate degree in Laboratory Assistant and Veterinary Sciences from Eskisehir Anatolian University (2013–2015, GPA 3.79). He has also pursued training in TESOL, SPSS, machine learning (random forest, SVM, logistic regression, neural networks), Python programming, web development, and data visualization. His education has been guided by distinguished scholars including Prof. Xiang Yang Zhang, Prof. Erdinc Ozturk, and Prof. Neylan Ziyal. These experiences shaped his multidisciplinary approach to psychological research.

Experience 👨‍🏫

Dr. Kadir Uludag is currently a postdoctoral researcher at Shanghai Jiao Tong University (2023–Present) and has been appointed for a future role at Capital Medical University, Beijing (2025–). His expertise spans schizophrenia, neuroimaging, and educational psychology. Previously, he served as a special education teacher for autistic children at Karabük Municipality Autistic Children Education Center (2017), applying cognitive-behavioral and humanistic therapeutic approaches. He also completed internships as a psychological counselor at Toki Anadolu Lisesi (2016) and a veterinary technician at Safranbolu Veterinary Clinic (2015). He brings in-depth knowledge of psychological development and intervention techniques across diverse settings. In academia, Dr. Uludag serves on the editorial boards of 24 journals and has edited four book projects. His dynamic involvement in teaching, research, editing, and mentoring reflects a holistic commitment to the field of psychology and science communication.

Awards & Recognitions 🏅

Dr. Uludag has received numerous accolades, including the “Highest Number of Views” award (2023–2024) from the Journal of Clinical and Basic Psychosomatics for his narrative review on smoking and schizophrenia. He earned reviewer awards from Imeta Journal and Imetaomics for reviewing more than five papers each. Additionally, he holds a Certificate of Excellence from the Shanghai Table Tennis Museum and the American Chemical Society Reviewer Lab Certificate. His extensive peer-review contributions (over 670 reviews) are recognized by ORCID and editorial teams worldwide. His editorial involvement includes serving on boards of journals like Health Policy and Technology, Plos One, and Asean Journal of Psychiatry, among others. He has received invitations for guest editorships and honorary memberships in various scholarly outlets. These honors reflect his impactful presence in academia and his dedication to advancing global psychological research.

Research Interests 🔬

Dr. Kadir Uludag’s primary research interests include schizophrenia, neuroimaging (fMRI and EEG), and educational psychology. His doctoral work applied Python-based machine learning (random forest, SVM, logistic regression) to brain imaging data, emphasizing computational psychiatry and precision diagnostics. He has published in Q1 journals such as Asian Journal of Psychiatry, American Chemical Neuroscience, Psychology Research and Behavior Management, General Psychiatry, and Antioxidants. His Scopus-indexed contributions span educational psychology, forensic science, and neuroscience. His research applies interdisciplinary tools—Python, Psychopy, SPSS, R, NLP, and image processing libraries—to explore psychiatric conditions. He integrates theory and practice through data visualization, cognitive-behavioral therapy models, and open-science advocacy. Dr. Uludag actively shares findings via his YouTube channel and academic website, fostering transparency and education. His work aims to bridge gaps between neuroscience, education, and technology to improve mental health outcomes and knowledge dissemination.

Publications

Lucas Muñoz-Lopez | Neuroscience | Best Academic Researcher Award

Published on by Cognitive Scientist Awards

Dr. Lucas Muñoz-Lopez | Neuroscience | Best Academic Researcher Award

El Dr. Lucas Muñoz-López 🎓 es logopeda neurológico especializado en rehabilitación logopédica en daño neurológico 🧠, con amplia experiencia clínica y académica 👨‍🏫. Tras graduarse en Logopedia por la Universidad de Granada en 2015, combinó práctica profesional y formación de posgrado, incluyendo dos másteres y un doctorado con mención Cum Laude 🏅. Ha ejercido como docente universitario en Melilla y Ceuta, y colabora en investigación con publicaciones en revistas como Frontiers in Psychology 📖. Además, ha tutorizado numerosos TFG y TFM 🎓. Su trabajo integra logopedia clínica, investigación sobre alteraciones de la comunicación y neurociencias, aportando al avance académico y a la rehabilitación de pacientes. Es autor de un libro publicado y miembro activo en proyectos de evaluación y tratamiento en contextos educativos y sanitarios 🏥. Su pasión por la docencia y la terapia lo posiciona como referente en logopedia clínica e investigación 📈.

Profile

Education 🎓

Dr. Muñoz-López 🧠 inició su carrera académica con el Grado en Logopedia (2015) en la Universidad de Granada 🎓, complementándolo ese mismo año con un Máster en Logopedia Clínica en Daño Cerebral (Isep Clinic, Madrid) 💡. En 2017 completó su segundo máster en Neurociencias Básicas y Aplicadas y Dolor en la Facultad de Medicina de Granada 🔬. Culminó su formación con un Doctorado en Psicología y Logopedia en la Universidad de Granada (2021) con mención Cum Laude 🏅, convirtiéndose en experto en alteraciones de la comunicación y rehabilitación neurológica 🧬. Su formación académica combina sólidos conocimientos clínicos, teóricos y metodológicos para abordar con éxito la intervención logopédica y la investigación científica 🏛️. Además, su trabajo refleja una constante actualización y compromiso con la excelencia educativa y terapéutica 💯.

Experience 👨‍🏫

Desde 2015, el Dr. Muñoz-López 🩺 ha desarrollado una sólida trayectoria profesional como logopeda clínico, combinando práctica asistencial con docencia universitaria 👨‍🏫. Ha ejercido en el Centro de Valoración y Orientación de Granada como Auxiliar Técnico en Logopedia 🏥, además de impartir clases en los campus de Ceuta y Melilla de la Universidad de Granada 📚. Ha sido tutor de TFG y TFM en varias universidades, incluyendo la Universidad de Granada y la Universidad Internacional de La Rioja ✍️. Su experiencia docente abarca asignaturas de logopedia, neuropsicología y psicopedagogía en grados y másteres universitarios 🎓. Además, colabora activamente en proyectos de intervención educativa, rehabilitación y formación de futuros profesionales. Su enfoque multidisciplinar y experiencia en contextos clínicos y penitenciarios 🏛️ le permiten aplicar soluciones eficaces e innovadoras en su área.

Awards & Recognitions 🏅

Dr. Muñoz-López ha recibido mención Cum Laude 🎖️ por su tesis doctoral en Psicología y Logopedia en la Universidad de Granada (2021) 🏅. Su tesis fue publicada como libro 📗, reafirmando su valor académico. Ha logrado publicar en la revista Frontiers in Psychology (Q2, JCR 2.99) 🧠, destacándose en el área de psicología y neurociencias. También ha publicado en la revista Journal for Educators, Teachers and Trainers, indexada en bases relevantes como Scopus y Dialnet 📖. Su libro fue editado por la Editorial Académica Española, con índice ICEE de 0.299 📘. Estos reconocimientos consolidan su reputación científica, reflejando la calidad y relevancia de su producción académica, así como su compromiso con la excelencia investigadora y docente 🧑‍🔬✨.

Research Interests 🔬

El Dr. Muñoz-López centra su investigación en la rehabilitación logopédica de alteraciones de la comunicación 🗣️, disfagia 🥄 y terapia miofuncional 💪, con especial atención a contextos neurológicos y penitenciarios 🏛️. Su trabajo profundiza en la intersección entre neurociencias, psicología y logopedia 🧠, explorando tanto enfoques clínicos como educativos. Ha contribuido al avance del conocimiento en alteraciones del lenguaje, evaluación cognitiva y técnicas de intervención para pacientes con daño cerebral adquirido 🧬. Además, participa en estudios sobre integración social, intervención educativa en contextos de riesgo y psicología forense ⚖️. Su enfoque combina metodología cuantitativa, intervención basada en evidencia y aplicación clínica, orientado siempre a mejorar la calidad de vida de las personas con trastornos de la comunicación 💬💡.

Publications

  • Validation and Spanish Adaptation of the Resilience Scale ER-23 in a University Population

    Healthcare
    2025-04-12 | Journal article
    DOI: 10.3390/healthcare13080886
    CONTRIBUTORS: Isabel Ramírez-Uclés; Julia Otero; F. Pablo Holgado-Tello; Lucas Muñoz-López; María B. Sánchez-Barrer

  • Analysis of writing in personality disorders in prison population

    Frontiers in Psychiatry
    2024 | Journal article
    DOI: 10.3389/fpsyt.2024.1391463
    EID:
    Part ofISSN: 16640640
    CONTRIBUTORS: Muñoz-López, L.; Fernández-García-Valdecasas, B.; López-Rodríguez, S.; Sánchez-Barrera, M.B.

  • Transformation of Higher Education: Discussion of the Dimensions, Trends and Scenarios of Change in Ibero-America

    Education Sciences
    2024 | Journal article
    DOI: 10.3390/educsci14050523
    Part ofISSN: 22277102
    CONTRIBUTORS: Fernández Cruz, M.; Fernández García Valdecasas, B.; Muñoz López, L.; López Rodríguez, S

  • Associations of Reversal Learning Performance With Personality Disorder Profile and Drug Abuse History in a Sample of Prison Inmates

    2024-09-18 | Journal article
    DOI: 10.1177/10731911241278307
    CONTRIBUTORS: Raquel Martín-Ríos; José C. Perales; Francisca López-Torrecillas; Lucas Muñoz Lóp

Fahri SEZER | Guidance and Psychological Counseling | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Fahri SEZER | Guidance and Psychological Counseling | Best Researcher Award

Dr. Fahri Sezer is a distinguished academic and researcher at Balıkesir University Necatibey Faculty of Education 🇹🇷, specializing in psychological counseling, music therapy 🎵, career guidance 🧭, developmental and educational psychology 🧠📚; his work bridges theory and practice, emphasizing student well-being 💪, self-esteem 🌱, coping strategies 🧩, and resilience; he is known for mentoring young scholars 🧑‍🏫 and leading interdisciplinary mental health research 🤝, with a strong publication record in both national and international platforms 🏅📖.

Profile

Education 🎓

Dr. Fahri Sezer holds advanced degrees in psychological counseling and developmental psychology 🎓🧠; his educational foundation includes robust training in educational sciences, guidance, and counseling 💡📚, providing him the expertise to design psycho-pedagogical models for enhancing emotional well-being and cognitive growth in diverse populations 🌍; his academic journey is marked by scholarly excellence, reflective inquiry, and continuous contribution to mental health education and teacher training programs 🎯🧑‍🏫.

Experience 👨‍🏫

Dr. Fahri Sezer serves as an Associate Professor at Balıkesir University’s Department of Guidance and Psychological Counseling 🏛️; he has led and collaborated on numerous research projects exploring student well-being, family dynamics, and teacher competencies 🧠👨‍🏫; his career highlights include national-level research on social skills, divorce effects, conflict resolution, and child psychology 💔➡️❤️, along with authoring educational materials for classroom management, counseling, and developmental psychology 📘✍️; he also provides academic mentoring and scientific editing 🧾🔬.

Awards & Recognitions 🏅

Dr. Fahri Sezer has earned wide recognition for his contributions to educational psychology 🧠🎖️; his research on self-esteem, life satisfaction, and student resilience has been featured in peer-reviewed journals and global conferences 🌐📢; his book chapters and co-authored volumes demonstrate academic leadership 📘👑; Sezer is admired for his impactful national projects addressing teacher training, family therapy, and psychosocial support frameworks 🧑‍🏫💡; his role as editor, author, and mentor enriches Turkey’s academic landscape 🇹🇷💫.

Research Interests 🔬

Dr. Fahri Sezer’s research revolves around psychological counseling 🧠💬, music therapy 🎵🧠, career guidance 🧭, educational resilience, developmental psychology 👶➡️🧓, social skill interventions 🤝, and student mental health 💖; he investigates how attitudes, coping mechanisms, and counseling practices affect life satisfaction and emotional growth 🌈📈; his focus also includes designing educational materials, studying teacher awareness, and exploring psychosocial dimensions of divorce and child development 🧸⚖️; blending research with community service and academic collaboration 🤗🔍.

Publications 

Vahid Rashedi | Alzheimer’s disease | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Vahid Rashedi | Alzheimer’s disease | Best Researcher Award

Dr. Vahid Rashedi 👨‍⚕️, an esteemed Assistant Professor of Gerontology at the University of Social Welfare and Rehabilitation Sciences 🇮🇷, has made outstanding global contributions in aging, cognition, and psychogeriatrics 🌍🧠. With a Ph.D. in Gerontology (2017) 🎓 and extensive editorial duties across high-impact journals 📚, he’s actively involved as a Senior Collaborator with the Global Burden of Disease Project at IHME, University of Washington 🇺🇸. Recognized as a Top 1% scientist by Stanford University in 2024 🏅, he combines academic excellence, innovation, and impactful research. His interdisciplinary work spans gerontology, rehabilitation, mental health, and cognitive science, cementing his status as a global leader in aging research 🌐💡.

Profile

Education 🎓

Dr. Rashedi began his academic path with a Bachelor’s and Master’s degree in Rehabilitation Sciences 🎓🦾, focusing on geriatric care and assistive technology. He earned his Ph.D. in Gerontology with distinction in 2017 🥇, building expertise in psychogeriatrics, mental health, and cognitive decline. His academic training was rooted in interdisciplinary frameworks linking medicine, psychology, and social work 🔬💬. This diverse education empowered him to bridge clinical insights with research, enabling innovative health solutions for elderly populations 👵👴. He complements formal education with global scientific memberships and ongoing collaborations with prestigious institutes, such as IHME 🌎, emphasizing lifelong learning and cutting-edge research.

Experience 👨‍🏫

Dr. Rashedi has over a decade of rich academic and research experience, currently serving as Assistant Professor at the University of Social Welfare and Rehabilitation Sciences 🏫. Since 2019, he has been a Senior Collaborator at IHME, University of Washington, contributing to the Global Burden of Disease project 📊🌐. He has authored 126 indexed journal articles 📑, published a book 📖, and holds four patents, including rehabilitation innovations like the vibrating ankle-foot orthosis 🦿. He is a prolific editorial board member and associate editor for over 10 international journals 📘🖋️. His work in psychogeriatrics and cognition has garnered global recognition, highlighting his leadership and mentoring roles 👨‍🏫🏅.

Awards & Recognitions 🏅

Dr. Rashedi is recognized globally for his scientific excellence, notably ranked in the Top 1% of scientists worldwide by Stanford University in 2024 🌟📈. He holds editorial roles in Frontiers, CGJ, and the Journal of Gerontology, reflecting scholarly esteem 📚. He is a trusted reviewer for numerous high-impact journals and was honored with national and international awards 🥇. His patented inventions in geriatric rehabilitation demonstrate a blend of innovation and clinical value 💡🏥. His GSA, APA, and ISTAART memberships validate his international standing 👏🌐. These honors underscore his unwavering dedication to improving elderly lives through evidence-based science and collaboration 🤝

Research Interests 🔬

Dr. Rashedi’s research delves into psychogeriatrics, mental health, and cognitive disorders in aging populations 🧠👴. As part of the Global Burden of Disease team at IHME 🌍, he contributes to global health analytics, shaping international aging policies 📊. His innovations include assistive devices with therapeutic functions, bridging technology and clinical rehabilitation 🛠️⚙️. With 63 research projects and over 26,000 citations 🔍📈, his scholarly output is extensive and impactful. He leads investigations on dementia, geriatric depression, and cognitive resilience, supported by his roles in editorial boards and scientific societies 🧬📘. His mission is to translate research into real-world health solutions for aging communities 🌟🩺.

Publications 

Tran Chau My Thanh | Neuroscience | Young Scientist Award

Published on by Cognitive Scientist Awards

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

Gerd Fabian Volk | Cognitive Rehabilitation | Outstanding Scientist Award

Published on by Cognitive Scientist Awards

Dr. Gerd Fabian Volk | Cognitive Rehabilitation | Outstanding Scientist Award

apl. Prof. Dr. med. habil. Gerd Fabian Volk (👶1978, Wertheim am Main) is a leading German otolaryngologist 👨‍⚕️, currently serving as Senior Physician and Head of the Facial Nerve Center in Jena 🏥. With a deep commitment to clinical excellence, academic teaching 📚, and innovative research 🧪, he has significantly contributed to the fields of neurolaryngology, facial nerve disorders, and ultrasound diagnostics 🧠🗣️. His work bridges cutting-edge imaging 🖼️ and functional diagnostics for head-neck disorders. Living in Jena with his family 👨‍👩‍👧‍👧, he actively supports patient education through YouTube 📹, coordinates national workshops, and advocates for interdisciplinary collaboration 🤝. Volk is a respected speaker 🎤, faculty member at international dissection courses ✂️🧠, and an initiator of hybrid symposia. He balances leadership with education, translating research into real-world clinical impact 🌍💡.

Profile

Education 🎓

Studied human medicine at Westfälische Wilhelms Universität Münster (1999–2006) 🎓🩺, earning his state exam. In 2007, he completed his doctorate (Dr. med.) with a thesis on axonal regeneration in retinal ganglion cells in primates and rats 🧬🐒🐀. He achieved board certification in ENT (2012) 👂👃🧠 and earned his postdoctoral qualification (habilitation) in 2017 with pioneering research on quantitative imaging of facial muscles 🖼️💪. His venia legendi was granted by Friedrich Schiller University Jena in otorhinolaryngology 📜👨‍🏫. Further qualifications include DEGUM Level II (2018) for ultrasound, clinical trial leadership certification (2009), animal research leadership certification (2002), and interdisciplinary leadership training at UKJ 🏅📊. His broad educational background underpins his medical, scientific, and didactic work, combining clinical care, diagnostics, and teaching for the next generation of ENT specialists 👨‍⚕️👩‍⚕️👨‍🏫.

Experience 👨‍🏫

Since 2013, Dr. Volk leads the Facial Nerve Center in Jena and co-founded the Tinnitus Center 👨‍⚕️🔊. He is currently Senior Physician at the ENT Department, University Hospital Jena and member of the steering committee for the Center for Rare Diseases Jena (since 2024) 🧩🧬. He previously held rotational research fellowships in radiology and neurology (2008–2013) and has organized national ENT courses since 2009 🧠🎓. With consistent academic teaching since 2012, he has led cadaver dissection courses, neurolaryngology workshops, and ultrasound diagnostics trainings 🧑‍🏫💻. He is an active contributor to ethics commissions and rare disease networks 👥⚖️. His work merges clinical ENT practice, surgical skill, and educational outreach through digital platforms (e.g., YouTube, www.lemg.org) 🌐📹. A devoted mentor, he organizes monthly PhD symposia and integrates hybrid teaching formats, balancing high-level medical care with forward-thinking academic initiatives 📚🏥🎯.

Awards & Recognitions 🏅

Recipient of multiple national prizes, including the 1st Poster Prize by the German Society for Ultrasound in Medicine (2019) 🥇📊 for Parkinson-related facial muscle imaging, and the DEGUM Head-Neck Section Award for his habilitation research (2018) 🧠🏅. Awarded competitive IZKF research fellowships in neurology and radiology (2008–2013) 🧬🔬. Recognized leader in rare disease diagnostics and member of Germany’s CRANIO-Net for rare craniofacial disorders (since 2022) 🧩👶. Since 2020, he contributes to the Ethics Commission of the University Hospital Jena ⚖️. He is speaker for ENT indications in the Botulinumtoxin Working Group of the German Society of Neurology (since 2022) 💉🧠. Nominated for professorial posts in Bielefeld, Halle, and Charité Berlin between 2019–2023 🏛️📚. Volk’s sustained excellence across clinical care, diagnostics, research, and education has earned him national recognition and leadership roles in academic ENT medicine 🧠🏥✨.

Research Interests 🔬

Prof. Volk’s research centers on facial nerve diagnostics and therapy 🧠🧑‍⚕️, neurolaryngology, and ultrasound imaging of head-neck structures 🖼️. He specializes in quantitative imaging of facial muscles for conditions like facial paralysis and Parkinson’s disease 🤖🧠. His work combines clinical neurophysiology, MRI analysis, and laryngeal electromyography (LEMG) 📈💬. He also pioneers educational innovations in hybrid learning, simulation-based teaching, and cadaver dissection techniques for ENT and neurology professionals 🧑‍🏫🧪. Through platforms like www.lemg.org and dedicated YouTube channels 📹, he disseminates knowledge on advanced diagnostics such as salivary duct endoscopy, voice disorders, and botulinum toxin use 💉. A strong advocate for interdisciplinary networks and rare disease research, he leads initiatives in patient-centered care, including organizing the “Fazialis-Nerv-Tag” and supporting patient education 🤝❤️. His translational research aims to enhance diagnostic precision and develop novel rehabilitation strategies for complex craniofacial disorders 🧬🔧.

Publications 

  • Electromyography as an Objective Outcome Measure for the Therapeutic Effect of Biofeedback Training to Reduce Post-Paralytic Facial Synkinesis

    Healthcare
    2025-03-04 | Journal article
    DOI: 10.3390/healthcare13050550
    CONTRIBUTORS: Isabell Hahnemann; Julia Fron; Jonas Ballmaier; Orlando Guntinas-Lichius; Gerd Fabian Volk

  • Evaluation of the Effects of an Electromyography-Based Bio-Feedback Training of Patients with Post-Paralytic Facial Synkinesis Using Electromyography Amplitudes as Objective Outcome Measure

    2024-12-16 | Preprint
    DOI: 10.20944/preprints202412.1326.v1
    CONTRIBUTORS: Isabell Hahnemann; Julia Fron; Jonas Ballmaier; Orlando Guntinas-Lichius; Gerd Fabian Volk

  • Deceleration of denervated facial muscle atrophy through functional electrical stimulation: a sonographic quantification in patients with facial nerve paralysis

    European Journal of Translational Myology
    2024-11-13 | Journal article
    DOI: 10.4081/ejtm.2024.13162
    CONTRIBUTORS: Gabriel Meincke; Johannes Krauß; Maren Geitner; Anna-Maria Kuttenreich; Dirk Arnold; Jonas Ballmaier; Thomas Lehmann; Winfried Mayr; Orlando Guntinas-Lichius; Gerd Fabian Volk

Elsa Pittaras | Neuroscience | Women Researcher Award

Published on by Cognitive Scientist Awards

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

Published on by Cognitive Scientist Awards

 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 📚