Find Academic Supervisors

Stewart McCauleyView profile

Assistant Professor

• Language Development
• Cognitive Mechanisms
• Speech-Language Pathology
• +3 more

Stewart McCauley, PhD, is an Assistant Professor in the Department of Speech and Hearing Science at the University of Iowa. His research focuses on cognitive mechanisms underlying language development, particularly how variability in these mechanisms influences outcomes in typically developing individuals and those with developmental language disorders. He employs methodologies including computational modeling, behavioral measures, and electroencephalography (EEG). He teaches courses such as CSD 3116 (Neuroscience of Speech and Hearing), CSD 4145 (Developmental Language Disorders), and CSD 1015 (Introduction to Speech and Hearing Sciences and Disorders). His research interests span language development, statistical learning, computational modeling, and neurocognitive aspects of language processing. Recent work explores multiword units’ impact on syntactic errors in children, cross-linguistic models of child language, and individual differences in statistical learning. McCauley actively seeks PhD students for collaborative research projects. His articles frequently investigate language learning mechanisms, emphasizing computational approaches and cross-linguistic perspectives. He is affiliated with the University of Iowa’s Wendell Johnson Speech and Hearing Center and maintains an active Google Scholar profile.

Ana Teresa Pérez-LerouxView profile

Professor

• Child Language Acquisition
• Bilingualism
• L2 Syntax
• +3 more

Ana Teresa Pérez-Leroux is a Professor of Spanish and Linguistics and Chair of the Department of Spanish and Portuguese at the University of Toronto . She also serves as Director of the Cognitive Science Program. Her research focuses on child language acquisition, bilingualism, and Spanish syntax, with an emphasis on understanding how children learn complex grammatical structures. She holds a PhD in Hispanic Linguistics from the University of Massachusetts Amherst. Key affiliations include the Faculty of Arts and Science , where she has been a professor since 2009, and leadership roles such as Chair of Spanish and Portuguese (2019–present) and Director of Cognitive Science (2014–2019). Earlier roles include Visiting Professorships at the Federal University of Rio de Janeiro and Michigan State University. Research Interests : Her work investigates syntactic and semantic development in monolingual and bilingual children, particularly recursion in noun phrases, clitic usage, and tense/mood systems. Recent projects include SSHRC-funded studies on noun phrase complexity ($158,848, 2014–2018), revealing insights into recursive structures across languages like Japanese, German, French, Spanish, and English. Grants and Collaborations : Co-PI on SSHRC Insight Grant exploring recursive embedding in children. Collaborators include Susana Bejar, Diane Massam, and Yves Roberge. Supervises over 20 graduate students and has published extensively in Bilingualism: Language and Cognition , Linguistics , and Language . Education : PhD in Hispanic Linguistics (1993), MA in Spanish & Linguistics (1992), both from UMass Amherst. BA in Modern Languages (1983) from Universidad Autónoma de Santo Domingo.

Marian BradyView profile

Professor

• Stroke Rehabilitation
• Aphasia
• Speech Therapy
• +5 more

Professor Marian Brady is a leading academic at Glasgow Caledonian University, specializing in stroke rehabilitation and aphasia research. She holds a BSc Hons, PhD, and FRCSLT qualifications. As a speech and language therapist, she leads the multidisciplinary Stroke Rehabilitation Research Programme and chairs the Collaboration of Aphasia Trialists (CATs), a global network supporting over 290 researchers. Her work focuses on improving stroke rehabilitation interventions, addressing healthcare inequalities, and developing clinical guidelines. Key Roles: Chair of European Stroke Organisation Aphasia Rehabilitation Guideline, Trustee of Royal College of Speech and Language Therapists, Honorary Professor at University of Queensland Research Areas: Aphasia, stroke rehabilitation, speech therapy, clinical trial design, and international collaboration Her research has informed national guidelines in over 20 countries and contributed to the World Health Organization’s initiatives. Notable projects include the CHOSEN trial on pneumonia prevention and the Virtual International Stroke Trials Archive. She has received awards such as the Cochrane-REWARD Prize and the Royal College of Speech and Language Therapists Fellowship. Her work emphasizes patient-centered care, evidenced by initiatives like the Access G-AP resource for goal-setting in stroke survivors. She collaborates internationally, advocating for equitable access to rehabilitation.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +5 more

Bo Wang is an active academic researcher primarily affiliated with multiple Chinese institutions, with strong connections to Tsinghua University, Beijing Jiaotong University, and other leading Chinese universities. His research spans artificial intelligence, machine learning, computer vision, medical image analysis, and intelligent control systems, demonstrating significant interdisciplinary work across computer science, engineering, and biomedical applications. Primary institutional affiliation: School of Computer Science and Technology at multiple Chinese universities Active research areas: AI/ML applications in healthcare, computer vision, federated learning, and intelligent control systems Extensive publication record across top-tier venues in multiple disciplines Wang's research interests focus on the intersection of artificial intelligence and practical applications. His work demonstrates strong expertise in developing novel machine learning architectures for medical image analysis, including applications in CT imaging, MRI, and sperm tracking. He has made significant contributions to federated learning approaches for large language models, sliding mode control systems, and molecular optimization frameworks. His research consistently bridges theoretical advances with practical implementations across healthcare, manufacturing, and environmental monitoring domains. Analysis of Wang's recent publications reveals a strong trend toward interdisciplinary AI applications, particularly in medical imaging and bioinformatics. His work on VAE-GANMDA for microbe-drug association prediction, ACE-QSM for accelerating MRI acquisition, and text-guided molecular optimization demonstrates innovative approaches at the intersection of AI and life sciences. Wang also maintains active research in industrial applications including digital twin technology for energy systems and robust scheduling approaches for multi-factory production. Notable research contributions include: FLFT: A Large-Scale Pre-Training Model Distributed Fine-Tuning Method with Federated Learning VAE-GANMDA: Microbe-drug association prediction model ACE-QSM: Accelerating quantitative susceptibility mapping using diffusion models Digital twin-empowered power consumption prediction systems Wang actively collaborates with researchers across China and internationally, with publications spanning computer science, engineering, medical imaging, and environmental science journals. His work demonstrates strong technical depth across multiple AI methodologies while maintaining focus on practical applications that address real-world challenges in healthcare, manufacturing, and environmental monitoring.

• Human-Computer Interaction
• Accessibility
• AI and Machine Learning
• +3 more

Leah Findlater is a Professor at the University of Washington , Seattle, WA, USA. Her research focuses on Human-Computer Interaction (HCI) and Accessibility , particularly in developing AI and Machine Learning systems for users with disabilities. Key areas: Assistive Technologies , Speech Recognition , Visual Privacy Collaborators: Jon E. Froehlich, Dhruv Jain, Emma J. McDonnell, Abigale Stangl Her recent work includes sound personalization for Deaf users , AI-driven sign language generation , and privacy tools for blind individuals . She explores interactive machine learning and user-centered design to improve accessibility in smartwatches , AR , and generative AI . Articles highlight cross-disciplinary collaborations with disability communities , focusing on inclusive AI , sensory augmentation , and ethical technology design . She advocates for user-driven accessibility solutions in social media and urban environments .

• Personality Psychology
• Behavioral Science
• Dark Traits (Aversive Personality)
• +5 more

Ingo Zettler is a Professor in the Department of Psychology at the University of Copenhagen, affiliated with the Faculty of Social Sciences. His research focuses on personality psychology, particularly the study of aversive traits (dark personality), prosocial behavior, and their societal implications. He also investigates behavioral science, open science practices, and sports psychology. His work integrates experimental, cross-cultural, and psychometric methodologies to explore how personality traits like dishonesty, moral reasoning, and social preferences manifest across contexts. Key themes include the Dark Factor of Personality (D), Honesty-Humility, and the interplay between personality and societal outcomes such as crime, cooperation, and political behavior. Recent research highlights include examining cultural and institutional influences on dark traits, developing assessment tools for political elites, and investigating pandemic-related behaviors during the COVID-19 crisis. His contributions span theoretical frameworks for personality measurement, meta-analyses of trait relationships, and applied studies in sports ethics and leadership. Zettler collaborates internationally, with publications addressing topics like vaccination readiness, pandemic fatigue, and the role of creativity in ethical justifications. His work emphasizes rigorous methodology and open science practices to advance psychological research reliability.

• Psychiatry
• Medical Education
• Bioethics
• +5 more

David B. Mallott, MD serves as an Adjunct Associate Professor in the Department of Psychiatry at the University of Maryland, Baltimore School of Medicine, maintaining a primary academic appointment in Psychiatry with secondary administrative responsibilities. Based in Health Sciences Facility 1, Room 134, he is contactable via dmallott@meded.umaryland.edu and directs institutional communications through primary (410-706-6613) and secondary (410-706-0922) telephone lines alongside dedicated fax services (410-706-7607). His research program exhibits exceptional interdisciplinary range across Psychiatry , Medical Education , Bioethics , and Medical Simulation . Key investigations include emotion-reading mechanisms (2013), psychiatric-metabolic disease intersections (2009), and cognitive simulation frameworks for clinical training (2007, 2005). His scholarship consistently bridges clinical practice with educational innovation, particularly in professionalism development (2006) and affective domain assessment in medical admissions (2006). Publication analysis reveals sustained scholarly productivity from 1984-2013 with thematic evolution from foundational schizophrenia research (1988) and chronobiology (1984) toward contemporary medical education technologies and bioethics integration. His work demonstrates consistent methodological diversity spanning historical clinicopathological conferences (1998), pharmacological studies (1990), and cognitive modeling approaches. Administrative engagement is evidenced through his secondary appointment in Administration, though specific leadership roles remain unspecified. While advising activities and grant funding details are unreported in available sources, his institutional presence spans clinical psychiatry, educational innovation, and academic administration within the School of Medicine ecosystem.

• Speech Therapy
• Parkinson's Disease
• Assistive Technology
• +3 more

Jodie Mills is a Researcher at the School of Health Sciences, Queen's University Belfast, pursuing a PhD on the use of Voice Activated Technology to support speech maintenance in People with Parkinson's. Her academic background includes a Master's in Autism Spectrum Disorders (Queen's University Belfast, 2023) and a Bachelor's in BSc (Hons) Speech and Language Therapy (2022). Her research focuses on assistive technologies like smart speakers and Virtual Reality in healthcare contexts, particularly addressing speech disorders in Parkinson's Disease and Autism. She actively contributes to clinical guidelines through roles at the Royal College of Speech and Language Therapists and Parkinson's UK. Key achievements include winning the Best Poster award at the Ulster University PhD Festival (2025) and presenting at multiple conferences on topics like VR in autism therapy and smart speaker applications in speech therapy. Her work aligns with UN Sustainable Development Goals related to education and health, emphasizing innovation in speech and language therapy practices.

Lisa ChinnView profile

Research Professor

• Child Development
• Neuroscience
• Cognitive Science
• +4 more

Lisa Chinn is a Postdoctoral Scholar at the HEDCO Institute for Evidence-Based Educational Practice within the University of Oregon's College of Education, and a Research Assistant Professor at the University of Houston. Her research focuses on evidence synthesis of school-based interventions, child development, neuroscience, and cognitive control, employing methods like EEG, virtual reality, and behavioral studies. She has mentored undergraduate and graduate students in research and serves as an editorial fellow at Psychological Review . Education: PhD in Developmental Science (2019), Tulane University MS in Cognitive Neuroscience (2016), Tulane University BS in Psychology (with honors, 2009), University of Oregon Research Interests: Dr. Chinn’s work bridges developmental psychology, neuroscience, and education. She investigates how sensory-motor experiences influence infant cognition (e.g., tactile localization for self-recognition), the neurodevelopmental impacts of institutional care, and auditory processing deficits in learning disorders. Her interdisciplinary approach integrates behavioral experiments, neuroimaging (EEG), and virtual reality. Publications: Her recent work examines infant motor development, the long-term effects of institutionalization on semantic processing, and systematic reviews on learning disorders. These studies highlight her focus on translational research linking basic science to educational practice. Awards: NIH Loan Repayment Program in Pediatric Research (2021–2023) University of Houston Postdoctoral Travel Award (2021, 2022) Babybot Challenge Co-Winner (IEEE ICDL-EPIROB, 2017) Advising & Grants: Dr. Chinn has mentored students in research labs and contributed to grants supporting her work on child development and evidence-based interventions. Her editorial role at Psychological Review reflects her commitment to advancing academic rigor in psychological sciences. Labs & Affiliations: She is affiliated with the HEDCO Institute, focusing on evidence-based educational practices, and collaborates across disciplines to address developmental challenges in underserved populations.

• Neurological Disorders
• Speech Pathology
• Healthcare Communication
• +3 more

Sarah El-Wahsh is a Lecturer in Speech Pathology at the Sydney School of Health Sciences, part of the Faculty of Medicine and Health at the University of Sydney. She holds a PhD (2022) and a Bachelor of Applied Science (Honours 1) in Speech Pathology (2017), graduating with the University Medal, Dean’s Scholar Award, and Speech Pathology Australia’s top student honor. Her expertise lies in adult speech pathology, particularly neurological disorders like motor neurone disease, Parkinson’s, dementia, and multiple sclerosis (MS), alongside aged care, palliative care, and communication neuroscience. Research interests include progressive neurological diseases, advanced communication skills for healthcare professionals, interdisciplinary care models, and motor speech disorders. She has received multiple awards, including the University of Sydney Teaching Award (2024), RTP Scholarship (2019–2022), and clinical excellence recognitions. Her work bridges clinical practice and research, emphasizing person-centered care and evidence-based interventions. Publications focus on communication impairments in MS, including CLAMS/SMS assessment tools and patient-centered strategies. Key articles analyze communication deficits’ impact on employment and cognitive function. Awards highlight both clinical and academic contributions, with travel grants supporting international conference participation. As an educator, she supervises clinical placements and enhances student preparedness for healthcare roles. Her advocacy for communication access and clinician training in motor neurone disease reflects her commitment to improving patient care through interdisciplinary collaboration.

• Multimodal Deep Learning
• Clinical Machine Learning
• Natural Language Processing
• +3 more

Dr. Ruchit Agrawal is an Assistant Professor of Computer Science and Head of Computer Science Outreach at the University of Birmingham Dubai. Previously, he served as a Postdoctoral Researcher in AI for Healthcare at the University of Oxford’s Computational Health Informatics Lab, and as a Marie Curie AI Researcher in the transnational MIP-Frontiers project at Queen Mary University of London. His work focuses on optimizing healthcare systems using Machine Learning, alongside contributions to Natural Language Processing, Audio Signal Processing, and Multimodal Deep Learning. He holds a PhD in Computer Science from Queen Mary University of London and an MS by Research from IIIT Hyderabad. Education: PhD in Computer Science (Queen Mary University of London, 2021) MS by Research in Machine Translation (IIIT Hyderabad, 2017) Research Interests: Clinical Machine Learning for healthcare system optimization Natural Language Processing with a focus on Indian languages and context-aware models Audio Signal Processing for music performance analysis and stuttering detection Development of multimodal deep learning frameworks for diverse applications Adaptive AI systems leveraging contextual and positional encoding techniques Publications highlight trends in healthcare AI, multilingual NLP, and audio-visual alignment. Recent work includes Arabic sentiment analysis, stuttering detection via MMSD-Net, and stock price prediction using FB-GAN. Earlier contributions address structure-aware synchronization in music performance data and transformer-based post-editing for low-resource languages. His research bridges theoretical advancements with practical implementations in clinical, financial, and cross-modal domains. Scientific awards include the prestigious Marie Skłodowska-Curie scholarship (2017–2020) supporting his deep learning research in audio signal processing. Advising and grants: While no formal advisees are listed, his roles involve leading outreach initiatives and guiding collaborative projects at the Computational Health Informatics Lab during his postdoctoral tenure. Labs/Teams: Active member of the Computational Health Informatics Lab (Oxford) and Machine Translation group at FBK (Italy). His work also intersects with the MIP-Frontiers transnational research project.

Pamela SouzaView profile

Professor

• Auditory Processing
• Hearing Aids
• Speech Recognition
• +4 more

Pamela Souza is a Professor in the Department of Communication Sciences & Disorders at Northwestern University's School of Communication. She holds secondary appointments in Linguistics and Otolaryngology-Head and Neck Surgery. Her research focuses on auditory and cognitive factors influencing hearing aid outcomes, particularly in aging populations. She is affiliated with the Hearing Aid Laboratory and is a Fellow of prominent organizations like the Acoustical Society of America and the American Speech-Language-Hearing Association. Dr. Souza earned her PhD in Audiology from Syracuse University. Her clinical interests include severe hearing loss management, tinnitus, and hearing assistive technologies. She has led NIH-funded projects investigating hearing aid signal processing and cognitive-auditory interactions. Notable contributions include developing the Spectral Correlation Index and advancing remote hearing aid assessment methods. Her research spans 30+ years, with over 100 peer-reviewed articles. Key themes include speech recognition in complex environments, working memory effects on hearing aid performance, and individualized treatment approaches. She has pioneered studies on reverberation and noise reduction technologies, emphasizing real-world acoustic challenges. Dr. Souza's grants include NIH R01 awards for studying hearing aid outcomes and compression dynamics. She has advised multiple trainees and collaborates internationally on projects like the E-LOSPHERES initiative. Her lab develops tools like the Portable Automated Rapid Testing (PART) system for auditory research.

• Psycholinguistics
• Language Production
• Bilingualism
• +3 more

Eduardo Navarrete Sanchez is an Associate Professor at the University of Padua, Italy. His research focuses on understanding how language and cognition interact, particularly in areas such as psycholinguistics, bilingualism, and language production. His work integrates experimental psychology, neurolinguistics, and cognitive neuroscience to explore topics like foreign language effects on social judgment, the neural basis of bilingualism, and the role of language in attention and decision-making. Key research interests include: Psycholinguistics Cognitive Science Bilingualism and Multilingualism Neurological Language Disorders Social and Cognitive Effects of Language His recent publications (2023–2025) highlight trends in examining language-accent credibility effects, cross-linguistic decision-making, and neurobiological underpinnings of bilingual language control. He has contributed to advancements in understanding how sociolinguistic factors influence perception and behavior, including studies on foreign language effects on social norms and deception detection mechanisms. Eduardo’s work bridges theoretical models of speech production with clinical applications, such as developing neuropsychological assessment tools for acquired brain injuries. His research often employs methods like pupillometry, electrophysiological recordings, and neuroimaging to study language processing dynamics.

Michelle St ClairView profile

Senior Lecturer

• Developmental Psychology
• Developmental Language Disorder (DLD)
• Child and Adolescent Mental Health
• +5 more

Michelle St Clair is a Senior Lecturer in the Department of Psychology at the University of Bath, specializing in Developmental Psychology with a focus on Developmental Language Disorder (DLD). She previously held roles at the University of Manchester and University of Cambridge, gaining expertise in large-scale data analysis. She was promoted to Senior Lecturer in 2020 and currently leads research on DLD's long-term impacts on emotional/social outcomes, neurodiversity resilience, and intervention strategies. Education & Background: PhD/Postdoctoral work in Developmental Psychopathology at University of Manchester and University of Cambridge Joined University of Bath as Lecturer in 2014 Research Interests: Developmental pathways linking early language disorders to later emotional/social challenges Positive neurodiversity outcomes in DLD populations Parental mobile phone use effects on child language development Engaging families and researchers via the Engage with DLD project Projects & Collaborations: PI on Engage with Developmental Language Disorder (2020–present) Co-Investigator on ESRC Sleep and Mental Health project (2022–2024) Visiting Scientist at University of Cambridge (2015–2016) Collaborations with City, University of London and University of Cambridge Key Contributions: Developed accessible research summaries for DLD communities Pioneered longitudinal studies on DLD's social/emotional impacts Created datasets like Engage with DLD Accessible Databases and Zoti's Social Toolkit Future Work: Exploring DLD in under-researched populations (e.g., juvenile detention centers) Advancing technology-based interventions for emotional recognition Continuing SDG-aligned research on mental health equity

• Cognitive Development
• Gesture in Learning
• Concept Learning
• +3 more

Professor Naomi Sweller is a leading academic at Macquarie University's School of Psychological Sciences, specializing in cognitive development and gesture-based communication. She serves as Chair of the low-risk Human Sciences Research Ethics Committee and Co-Director of Research Training in her school. Research Interests: Cognitive development across infancy to adolescence Gesture use in learning and communication Concept learning mechanisms Impact of digital communication on empathy Developmental effects of screen time and technology use Teaching: She teaches research methods and statistics in the Honours program (PSYH4418 Design and Statistics IV). Scientific Awards: Macquarie University Vice-Chancellor's Learning and Teaching Student-nominated Award (2020) Her research collaborations span diverse areas including autism spectrum disorders, classroom dynamics, and behavioral impacts of media consumption.