جست‌وجوی استاد و پژوهشگر

• Neuroscience
• Psychiatry
• Neurology
• +۵ مورد دیگر

Dr. Merve Fritsch is a Specialist in Psychiatry and Psychotherapy and a Senior Physician in ward 152A at Charité - Universitätsmedizin Berlin. Her affiliation is with the Department of Psychiatry and Neurosciences, part of the Neurology, Neurosurgery and Psychiatry division at Campus Charité Mitte. Dr. Fritsch's research focuses on neurological and psychiatric conditions, particularly thalamic aphasia, fronto-thalamic networks, and the role of the inferior frontal cortex in conscious perception. Her work integrates clinical neurology with cognitive neuroscience, addressing topics such as stroke recovery, perceptual decision-making, and NMDA receptor dysfunction. Her studies investigate ischemic lesions' effects on visual and language functions, stroke outcomes, and the mechanisms underlying consciousness. She employs advanced techniques like TMS-EEG to explore neural connectivity in conditions like autism spectrum disorder. Dr. Fritsch’s research also addresses clinical applications, such as cerebral embolism during cardiac interventions and the localization of aphasia in stroke patients. While no formal awards are listed, her contributions span peer-reviewed publications in high-impact journals, reflecting her expertise in neurology, psychiatry, and translational neuroscience. She actively engages in clinical practice and academic research, bridging theoretical insights with patient care.

Rong Xuمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۱۸ مورد دیگر

Rong Xu is a Professor of Biomedical Informatics at Case Western Reserve University School of Medicine, where she also serves as Director of the Center for AI in Drug Discovery. She is a member of the Cancer Genomics and Epigenomics Program at the Case Comprehensive Cancer Center. Dr. Xu's research focuses on developing innovative computational approaches including artificial intelligence, natural language processing, data mining, machine learning, and knowledge representation to advance biomedical discovery. Her work spans both computer science and biomedical science domains. Her computer science research interests include Artificial Intelligence, Natural Language Processing, Machine Learning, Deep Learning, Systems Biology, Data Mining, Graph Theory, and Ontology. Her biomedical science interests encompass Drug Discovery, Drug Repositioning, Disease Gene Discovery, Gene-Environment Interactions, Human Gut Microbiome, Drug Target Discovery, Drug Toxicity Prediction, Cancer Drug Toxicity, Drug Addiction, and Neuroscience Informatics. Dr. Xu's recent publications demonstrate a strong focus on applying AI and computational methods to drug discovery, particularly for neurological conditions, diabetes-related complications, and substance use disorders. Her work prominently examines the effects of GLP-1 receptor agonists like semaglutide on various health outcomes, including Alzheimer's disease, opioid use disorder, and cancer. Fellow of American College of Medical Informatics (FACMI) 2020 American College of Medical Informatics Research Scholar 2016 American Cancer Society New Investigator Award 2015 American Medical Informatics Association AACR INNOVATOR Award 2015 Landon Foundation Director's Innovator Award 2014 National Institutes of Health Siebel Scholar 2004 Dr. Xu directs the Center for AI in Drug Discovery and has received significant grant funding for her research, including a $1.4 million grant from NIDA for developing AI technologies to identify potential medications for cocaine use disorder. Her work bridges computational science with clinical applications, focusing on translating AI discoveries into practical healthcare solutions.

Xiaobo Liمشاهده پروفایل

استاد

• Neuroscience
• Medical Imaging
• Machine Learning Applications in Neurology
• +۳ مورد دیگر

Xiaobo Li is a Professor in the Department of Bio-Medical Engineering at New Jersey Institute of Technology. Holding a Ph.D. in Computer Aided Geometric Design from the University of Birmingham and a B.S. in Automation from Nanjing University of Aeronautics, their research bridges computational methods with neuroimaging and psychiatric disorder analysis. Ph.D., University of Birmingham (Computer Aided Geometric Design, 2004) B.S., Nanjing University of Aeronautics (Automation, 1999) Dr. Li’s work focuses on applying machine learning and graph theory to understand brain network abnormalities in conditions like ADHD , schizophrenia , and traumatic brain injury . Their studies analyze structural-functional connectivity , reward processing , and gut-brain axis interactions using fMRI , fNIRS , and diffusion tensor imaging . Recent publications highlight their development of tools like the GAT-FD MATLAB toolbox for brain network analysis and their exploration of multimodal MRI in schizophrenia diagnosis. They also investigate the neurobiological effects of photobiomodulation and vision therapy interventions.

FENG Menglingمشاهده پروفایل

دانشیار

• Biostatistics
• Healthcare Data Analytics
• Medical AI
• +۳ مورد دیگر

**FENG Mengling** is an Associate Professor at the National University of Singapore (NUS) and holds primary affiliation with the Saw Swee Hock School of Public Health. She serves as the Domain Leader for the Biostatistics, Modelling, AI and Data Analytics (B.MAD) Domain and Director of the AI for Public Health (AI4PH) Program. Her academic credentials include a Senior Post-doc from Harvard-MIT Health Science Technology Division, a PhD from Nanyang Technological University (2009), and a Bachelor's degree (2003) from NTU. Research & Teaching: Her research focuses on causal inference for evidence-based medicine, generative models for medical time-series analysis, and healthcare data analytics. She teaches courses on big data technologies for healthcare problems and healthcare data analytics. Professional Roles & Awards: She has led the Biomedical and Healthcare Analytics Lab at the Institute for Infocomm Research (2014–2015) and currently serves as an Affiliate Scientist at Harvard-MIT. Notable accolades include the MIT Teaching & Learning Laboratory Kaufman Teaching Certificate and recognition as a finalist in MIT’s 2013 Innovation Showcase. Her work has been featured in prominent media outlets like The Straits Times and Channel NewsAsia, highlighting breakthroughs such as AI nurses and Singlish-speaking healthcare assistants. Publications & Impact: Over 50 peer-reviewed publications span AI-driven clinical decision support, medical imaging analysis, and predictive modeling in critical care. Key contributions include frameworks like MedDreamer (reinforcement learning for EHR analysis) and DivScore (LLM-generated text detection). Her research bridges causal inference, generative AI, and scalable healthcare solutions. Labs & Initiatives: As a leader in NUS’s Public Health AI Innovation Center (launching early 2025), she drives initiatives like FxMammo (AI for breast cancer screening) and the Biomedical and Healthcare Analytics Lab. Her work emphasizes ethical AI deployment and cross-disciplinary collaboration in healthcare.

Jiaxiang Zhangمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Cognitive Neuroscience
• +۲ مورد دیگر

Jiaxiang Zhang is Professor of Artificial Intelligence in the Department of Computer Science at Swansea University's Faculty of Science and Engineering. He holds a PhD in Computational Neuroscience from the University of Bristol and previously held positions at the University of Birmingham, MRC Cognition and Brain Sciences Unit (Cambridge), and Cardiff University where he founded the Cognition and Computational Brain Lab. Zhang's research integrates computational modeling, machine learning, brain imaging (MEG/EEG/fMRI), and experimental approaches to study human cognition, aging, and neurological disorders. Key focus areas include: Neural mechanisms of decision-making and problem-solving Computational models of cognitive processes AI applications in healthcare diagnostics and neuroimaging Brain network dynamics in neurological conditions Recent publications emphasize deep learning models for neural data, multimodal brain connectivity, decision-making impairments in Parkinson's disease, and neuroinformatics tools. His work shows strong clinical translation through epilepsy biomarker development and emergency department outcome prediction. Zhang has led research grants from ERC, MRC, BBSRC, and Wellcome Trust. As primary investigator for multiple projects, he oversees significant computational neuroscience initiatives. He is available for postgraduate supervision.

Mayank Goelمشاهده پروفایل

استادیار

• Mobile Computing
• Sensing
• Signal Processing
• +۷ مورد دیگر

Mayank Goel serves as an Assistant Professor in the Software and Societal Systems Department (S3D) at Carnegie Mellon University's School of Computer Science. His research bridges computer science and societal impact through practical sensing systems that leverage existing environmental devices for health monitoring and human-computer interaction without requiring hardware modifications. Dr. Goel specializes in mobile computing, signal processing, and machine learning to develop unobtrusive health technologies applicable to real-world scenarios. His core research areas include passive activity recognition for chronic disease management (particularly multiple sclerosis), privacy-preserving acoustic sensing, smartwatch-based clinical interventions for post-operative care, and equitable healthcare systems for global development contexts. He emphasizes end-to-end solutions through close collaboration with medical professionals and designers to ensure immediate deployability outside laboratory environments. Analysis of his 2024-2025 publications reveals a strong interdisciplinary focus spanning computer science, biomedical engineering, and clinical practice. Key trends include longitudinal digital phenotyping for neurological conditions, on-device privacy preservation in activity recognition, and multimodal procedural assistance systems. His work consistently addresses real-world challenges in sensor placement flexibility, user adoption barriers, and equitable access to medical technologies. No scientific awards were mentioned in the available documentation. Information regarding student advising, research grants, or laboratory affiliations was not specified in the provided materials, though his publication record indicates active collaboration with medical professionals and bio-engineers for clinical validation of health technologies.

Nicholas Cumminsمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Affective Computing
• +۶ مورد دیگر

Dr. Nicholas Cummins is a Lecturer in AI for Speech Analysis at King’s College London, specializing in applying machine learning to health conditions, particularly mental health disorders. He holds roles in the Department of Biostatistics & Health Informatics and is affiliated with the NIHR Maudsley Biomedical Research Centre. His research focuses on speech processing, affective computing, and digital phenotyping, with projects like RADAR-CNS and DE-ENIGMA. He earned his PhD from UNSW Australia (2016) and conducted postdoctoral work in Germany before becoming habilitation candidate at the University of Augsburg. Education: PhD in Electrical Engineering, UNSW Australia (2016) Habilitation Candidate, Chair of Embedded Intelligence for Healthcare, University of Augsburg Research Interests: Machine learning for mental health monitoring Speech-based biomarkers for depression and psychosis Wearable device integration for health tracking Multilingual speech analysis Key Projects: RADAR-CNS: Data analysis for neurological conditions DE-ENIGMA, TAPAS, sustAGE (Horizon 2020) National Science Foundation of China project on speech-based depression diagnosis Grants & Awards: Over 100 peer-reviewed publications (h-index: 23) NSFC-funded project on speech analysis for depression Reviewer for IEEE, ACM, ISCA journals Labs & Teams: Involved in the NIHR HealthTech Research Centre in Brain Health and the EMBRACE initiative for maternal/child health with AI.

Edward F. Changمشاهده پروفایل

استاد

• Neurosurgery
• Neuroscience
• Speech Neuroscience
• +۷ مورد دیگر

Edward F. Chang, MD is a distinguished Professor and Chair of the Department of Neurological Surgery at the University of California, San Francisco (UCSF) School of Medicine. He co-directs the Center for Neural Engineering and Prostheses, a collaborative enterprise between UCSF and UC Berkeley, and leads the Chang Lab focused on speech neuroscience and neural engineering. As a practicing neurosurgeon, he specializes in treating adults with difficult-to-control epilepsy, brain tumors, trigeminal neuralgia, hemifacial spasm, and movement disorders. Dr. Chang's educational background includes a B.A. in Chemistry from Amherst College (1997), an M.D. from UCSF (2004), a Neurological Surgery residency at UCSF (2010), and a postdoctoral fellowship in Cognitive Neuroscience at UC Berkeley (2009). His research focuses on the brain mechanisms for speech, movement, and learning, with particular emphasis on advanced brain mapping methods to preserve crucial areas for speech and motor functions. He has pioneered work in speech neuroprostheses, developing technology that allows patients with paralysis to communicate through brain signals. His work integrates engineering, neurology, and neurosurgery to develop state-of-the-art biomedical technology to restore function for patients with neurological disabilities such as paralysis and speech disorders. Analysis of his recent publications reveals a strong trend toward developing advanced neuroprosthetic technologies, particularly speech decoding systems, and exploring the neural basis of speech production across multiple languages. His research also spans epilepsy surgery optimization, deep brain stimulation for psychiatric conditions, and molecular profiling of brain tumors. Blavatnik National Laureate for Life Sciences (2015) Elected to the National Academy of Medicine (2020) Inaugural Bowes Biomedical Investigator at UCSF HHMI Faculty Scholar Dr. Chang leads multiple NIH-funded research projects totaling millions of dollars, including a pilot clinical trial for speech neuroprosthesis and studies on the neural coding of speech across human languages. He has mentored numerous researchers in the field of neural engineering and speech neuroscience, though specific student names aren't listed in the provided materials. His work has resulted in groundbreaking technologies that have helped restore communication abilities to individuals with paralysis. As co-director of the Center for Neural Engineering and Prostheses, Dr. Chang leads a multidisciplinary team of engineers, neurologists, and neurosurgeons working at the intersection of neuroscience and technology. His lab has been instrumental in developing brain-computer interfaces that translate neural activity into speech, with recent publications demonstrating streaming brain-to-voice neuroprostheses that restore naturalistic communication.

• Developmental Coordination Disorder (DCD)
• Dyspraxia
• Autism Spectrum Disorder
• +۵ مورد دیگر

Elisabeth L. Hill is a Professor in the Department of Psychology within the Institute for Social and Psychological Sciences at Goldsmiths, University of London. With an extensive publication record spanning over two decades, she has established herself as a leading researcher in developmental psychology, particularly focusing on Developmental Coordination Disorder (DCD), autism spectrum disorders, and the intersection of motor and cognitive development. Her educational background, though not explicitly detailed in the publication records, is evident through her sophisticated research methodology and theoretical contributions to the field. She has supervised numerous doctoral students who have gone on to become established researchers in their own right, including Emma J Sumner, Laura Crane, Hayley C Leonard, and Leighanne A Mayall. Hill's research interests focus on understanding the nature and impact of Developmental Coordination Disorder (DCD), sometimes referred to as dyspraxia, and its relationship with other neurodevelopmental conditions like autism spectrum disorder and ADHD. Her work has been instrumental in establishing DCD as a legitimate field of study and demonstrating how motor difficulties can impact broader cognitive, social, and emotional development. She has extensively investigated the relationship between motor skills and cognitive functions, particularly executive functioning, and has examined how these relationships manifest across the lifespan. Her 15 most recent publications reveal a researcher deeply engaged with both theoretical and clinical aspects of developmental disorders. The articles show a progression from foundational work establishing DCD as a distinct condition to more nuanced investigations of gender differences, age-related presentations, and the specific cognitive-motor interactions that characterize these conditions. Her research demonstrates particular attention to methodological rigor and clinical applicability. Hill has received recognition through numerous invitations to contribute to edited volumes and provide expert commentary on developmental disorders. She has served as editor for significant works including 'Understanding Motor Behaviour in Developmental Coordination Disorder' (2019), which demonstrates her standing as a thought leader in the field. Her research has important implications for educational practice, clinical assessment, and intervention strategies for children and adults with motor coordination difficulties. She has worked to translate research findings into practical applications through collaborations with educators, clinicians, and policymakers, and has been active in developing clinical guidelines for DCD assessment and intervention.

• Cognitive Science
• Psycholinguistics
• Multilingualism
• +۴ مورد دیگر

Jon Andoni Duñabeitia is a Full Professor at the School of Languages and Education of Universidad Nebrija in Madrid. He serves as Director of the Centro de Investigación Nebrija en Cognición (CINC) and the International Chair in Cognitive Health . With an h-index of 43 (Scopus), he has published 170+ articles across psycholinguistics, multilingualism, cognitive training, and virtual reality applications in education. His research examines how language processing interacts with cognitive load, emotional modulation, and technological innovation. Principal Investigator for 8+ projects funded by Spanish Government, Basque Government, BBVA Foundation Associate Editor and Editorial Board Member of high-impact journals Recognized among Spain's top 3% scientists across all disciplines Recent publications span topics including: Second-language reading dynamics in VR environments Multilingual cognitive interactions in neurological conditions Emoji/typographic effects on word processing Computerized cognitive assessment and training systems He actively contributes to scientific meetings as invited speaker across Europe, Asia, and Americas. His work bridges basic research in psycholinguistics with applied technologies for cognitive health.

• Cognitive Neuroscience
• Autism Spectrum Disorder
• Functional MRI
• +۷ مورد دیگر

Susan Bookheimer is a distinguished Professor of Cognitive Neuroscience and Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine at UCLA. She holds the Joaquin Fuster Professorship in Cognitive Neuroscience and is affiliated with multiple research centers including the Center for Autism Research and Treatment (CART), Staglin Center for Cognitive Neuroscience, Tennenbaum Center for the Biology of Creativity, and Brain Research Institute. Dr. Bookheimer's research spans cognitive neuroscience with a focus on autism spectrum disorder, functional MRI methodology, language processing, memory function, and sensory processing differences. Her work investigates neural mechanisms underlying neurodevelopmental disorders, particularly autism, using advanced neuroimaging techniques to identify early biomarkers and understand neural connectivity patterns. She has made significant contributions to understanding how brain networks develop and function in typically developing children and those at risk for autism. Her extensive publication record demonstrates expertise in functional MRI applications across diverse populations including infants at risk for autism, individuals with epilepsy, and aging adults. Her research often examines how brain connectivity relates to cognitive and behavioral outcomes, with particular attention to language processing, sensory reactivity, and social cognition in neurodevelopmental conditions. Dr. Bookheimer leads and participates in numerous collaborative research initiatives including the ACE GENDAAR Network and has contributed to understanding the neural basis of autism through genetic, imaging, and behavioral approaches. Her work bridges basic neuroscience with clinical applications, aiming to improve diagnostic approaches and interventions for neurodevelopmental disorders.

• Corpus callosum development
• Brain wiring
• Neurodevelopmental disorders
• +۵ مورد دیگر

Linda J. Richards serves as the Chair of the Department of Neuroscience and Edison Professor of Neuroscience at Washington University School of Medicine. Her career spans decades of groundbreaking research in brain development, particularly focusing on interhemispheric connections of the mammalian brain. She leads the Brain Development and Disorders Laboratory, which investigates both normal brain wiring and conditions where this wiring is altered. Professor Richards earned her Bachelor of Science (Honours) from The University of Melbourne in 1990, followed by her PhD from the same institution between 1991-1994. Her educational background laid the foundation for her pioneering work in developmental neurobiology. Her research interests center on the development, plasticity, and function of long-range connections in the cerebral cortex, with particular focus on the corpus callosum - the largest fiber tract connecting the brain's hemispheres. She investigates how cellular and molecular mechanisms regulate brain wiring during development and how these processes are altered in congenital corpus callosum dysgenesis (CCD), which occurs in approximately 1 in 4,000 people. Her work explores the underlying causes of CCD, the mechanisms of long-range axonal plasticity, and how structural changes in brain wiring impact cognition and behavior. Analysis of Professor Richards' recent publications reveals a consistent focus on corpus callosum development and disorders across multiple model systems. Her work spans from basic molecular mechanisms involving transcription factors like the Nuclear Factor I (NFI) family to human clinical studies of corpus callosum disorders. She employs diverse methodologies including genetic analysis, neuroimaging, behavioral assessments, and comparative studies across mammalian species. A notable trend is her increasing focus on translating basic science findings into understanding human conditions, particularly through genetic studies of CCD patients and their families. 2020: Cajal Club, Krieg Cortical Kudos Discoverer Award, Pinckney J Harman Memorial Lecture 2019: Appointed Officer (AO) of the Order of Australia for distinguished service to medical research and education in developmental neurobiology 2016: Elected Fellow of the Australian Academy of Health and Medical Sciences 2015: Elected Fellow of the Australian Academy of Science 2017-2018: President of the Australasian Neuroscience Society 2010: Nina Kondelos Prize from the Australasian Neuroscience Society 2004: Charles Judson Herrick Award from the American Association of Anatomists Professor Richards is deeply committed to neuroscience advocacy and mentorship. She has contributed significantly to establishing major international neuroscience initiatives including the International Brain Initiative, the Australian Brain Alliance, and the Australian Brain Bee Challenge. As a board member of the International Brain Bee and member of the Dana Alliance for Brain Initiatives, she actively promotes neuroscience education and public engagement. Her lab provides training opportunities for numerous graduate students, postdoctoral fellows, and research staff who contribute to her diverse research programs. Professor Richards leads the Brain Development and Disorders Laboratory, which focuses on three primary research areas: activity-dependent mechanisms of early brain wiring, cellular and molecular mechanisms of early brain wiring (particularly involving NFI transcription factors), and human corpus callosum disorders. Her lab employs innovative approaches including studies of the fat-tailed dunnart (a marsupial model with postnatal brain development), advanced imaging techniques, and partnerships with individuals who have corpus callosum disorders to understand how brain wiring impacts cognitive, social, and emotional function.

• Linguistics
• Speech Therapy
• Psycholinguistics
• +۶ مورد دیگر

Dr Wojciech Ryszard Lipski holds the position of Lecturer at the Department of Speech Therapy and Applied Linguistics , Maria Curie-Skłodowska University. His work focuses on speech and communication disorders across developmental and psychiatric conditions, with an ORCID identifier 0000-0003-4445-9940. Specializes in language disorders in schizophrenia Researches narrative coherence in psychiatric patients Develops therapeutic frameworks for autism Investigates connotative language breakdown Focuses on preschool/school-age speech development His recent publications emphasize neurolinguistic analysis of disordered speech patterns, particularly in schizophrenia and autism. Key methodologies include case studies , semantic field mapping , and connotation diagnostics . Research spans both clinical applications and theoretical investigations of language system disintegration. Current research explores: Neural network models of speech disorders Metaphorical language in psychosis Delusional discourse analysis Neurocognitive speech therapy approaches Language ontogenesis patterns Multi-center speech disorder studies

Andreas Rauscheckerمشاهده پروفایل

استادیار

• Artificial Intelligence
• Medical Imaging
• Neuroradiology
• +۵ مورد دیگر

Dr. Andreas Rauschecker is a neuroradiologist at the University of California San Francisco (UCSF), specializing in advanced imaging technologies (CT, MRI) for diagnosing nervous system disorders in adults and children. He employs AI and image-processing techniques to enhance diagnostic accuracy and collaborates with multidisciplinary teams to improve patient outcomes. Fellowship in Neuroradiology, University of California San Francisco (2020) MD PhD in Neuroscience, Stanford University (2013) MSc in Neuroscience, Oxford University (2005) BS in Biology & Psychology, Georgetown University (2004) His research focuses on applying artificial intelligence to neuroimaging, particularly for conditions like multiple sclerosis, brain tumors, and developmental disorders. He investigates how AI can standardize myelination assessments, detect lesions, and reduce reliance on contrast agents in MRI. Recent publications highlight his work on automated lesion segmentation, transfer learning for MRI analysis, and large language models in radiology. Collaborative efforts include multi-institutional datasets for meningioma and glioma segmentation, emphasizing reproducibility and open science. UCSF Chen Scholar (2024-2026) UCSF Weill Award for Clinician-Scientists (2023) ASNR/ASfNR MIT-E Scholarship (2019) NVIDIA GPU Seed Grant (2018) RSNA Roentgen Fellow Research Award (2019) Rauschecker mentors trainees and collaborates on grants related to AI-driven radiology tools. His work bridges clinical practice and computational innovation, aiming to integrate cutting-edge technologies into standard neuroradiology workflows.

Erika S. Levyمشاهده پروفایل

استاد

• Speech-Language Pathology
• Neurological Disorders
• Multilingual Communication
• +۳ مورد دیگر

Erika S. Levy is a Professor of Communication Sciences and Disorders at Teachers College, Columbia University, and Director of the Speech Production and Perception Lab. She holds affiliations with the Biobehavioral Sciences and Communication Sciences and Disorders programs at Teachers College. Her expertise lies in cross-language speech production and perception, communication disorders in bilingual populations, and treatment efficacy for dysarthria associated with conditions like cerebral palsy and Parkinson's disease. Education: Ph.D. in Speech and Hearing Sciences, CUNY Graduate Center M.A. in Speech-Language Pathology (CCC-SLP), Lehman College M.A. in Linguistics, New York University B.A. in Psychology, Wesleyan University Research Focus: Dr. Levy's work investigates bilingual speech production, dysarthria treatment across languages, and the acoustic correlates of speech intelligibility. She emphasizes culturally responsive interventions for multilingual populations and neurogenic communication disorders. Recent Research Trends: Her recent articles explore hybrid approaches to dysarthria treatment, acoustic predictors of speech intelligibility in pediatric and neurologic populations, and the impact of international training programs on speech-language interventionists. Her work bridges clinical practice with cutting-edge acoustic analysis and multilingual considerations. Labs & Teams: She leads the Speech Production and Perception Lab , which focuses on advancing understanding of speech mechanisms and developing evidence-based treatments for communication disorders.