Language Production & Comprehension Professors and Supervisors | ApplySharif

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Rebecca WiseheartView profile

Associate Professor

St. John's UniversityUnited States

Rebecca Wiseheart is an Associate Professor and Chair of the Department of Communication Sciences and Disorders (CSD) at St. John's University, with a joint appointment in Psychology. She holds a Ph.D. from the University of Florida in Communication Sciences and Disorders, an M.A. in Speech-Language Pathology, and a B.A. in English. Her research focuses on language, learning, and cognition in dyslexia, particularly in college students who have compensated for early reading challenges. Current projects include investigating concussive injuries in student-athletes with dyslexia and developing dyslexia screening protocols for collegiate sports programs. A secondary research area explores writing development and professional identity in CSD majors. Dr. Wiseheart has been recognized with the McNair Scholars Program Mentor of the Year (2014, 2015) and served as a Writing Across the Curriculum Fellow (2013) and Writer-in-Residence (2019). She is a nationally certified speech-language pathologist and represents ASHA on the National Joint Committee on Learning Disabilities (NJCLD). Education: Ph.D., Communication Sciences and Disorders, University of Florida M.A., Speech-Language Pathology, University of Florida B.A., English, University of Florida Research Interests: Dyslexia in higher education, concussion management in student-athletes, bilingual and monolingual learning dynamics in CSD programs, and instructional design for neurodiverse learners. Her work bridges cognitive science, clinical practice, and educational policy. Awards & Recognition: McNair Scholars Program Mentor of the Year (2014, 2015) Writing Across the Curriculum Fellow (2013) Writing Across Communities Writer-in-Residence (2019) Advising & Grants: Advised McNair Scholars Program participants. Her research has explored writing development in CSD students and the application of multimedia tools for dyslexic learners. Collaborates with interdisciplinary teams on concussion management protocols. Labs & Teams: Engaged in clinical and research initiatives within the Department of Communication Sciences and Disorders, focusing on dyslexia screening and intervention strategies for student-athletes.

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Arnaud BlouinView profile

Associate Professor

InriaFrance

Dr. Arnaud Blouin is an Associate Professor at INSA Rennes (University of Rennes) and researcher at IRISA/Inria. He leads projects in software engineering including Interacto (user interaction framework) and HyperAST (large-scale code analysis). His research focuses on improving developer productivity through human-computer interaction engineering, domain-specific languages, and software maintenance techniques. He currently supervises PhD candidates working on web testing, scientific computing, and heterogeneous modeling. Dr. Blouin teaches human-computer interaction, object-oriented programming, and web engineering. He serves on program committees for major software engineering conferences including FSE and ASE.

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Olga BaysalView profile

Associate Professor

Carleton UniversityCanada

Olga Baysal is Director of Carleton University Institute for Data Science and Associate Professor in the School of Computer Science. Her research applies data mining, machine learning, and NLP techniques to software engineering challenges, focusing on mining software repositories, empirical studies, and human aspects of development. She directs the Software Analytics (SWAN) research group and collaborates with industry partners including IFS Canada and Ericsson. Education includes PhD from University of Waterloo (2014), MMath from Waterloo (2006), and BSc from Vyatka State University (2001). Prior appointments include Université de Montréal and Ryerson University. Research analyzes software artifacts to synthesize knowledge from development activities. Current work examines code review practices, API evolution, and developer collaboration patterns using repository mining and qualitative methods. Recent publications explore release cadence patterns, API documentation summarization, and terminal interface innovations. Longitudinal work investigates developer behavior in Stack Overflow and GitHub ecosystems. Extensive academic service includes program co-chair for ICPC and MSR conferences. Teaching includes courses in Mining Software Repositories and Introduction to Data Science.

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Heath MathesonView profile

Associate Professor

Memorial University of NewfoundlandCanada

Heath Matheson is an Associate Professor in Psychology at Memorial University's Faculty of Science, where he directs the CREATE Lab (Collaborative Research in Empirical And Theoretical Embodiment). His research examines how cognition emerges from brain-body-environment interactions using EEG and behavioral experiments. Matheson's research focuses on: Neural mechanisms of object recognition and semantic memory Body schemas' role in conceptual thinking Environmental and postural influences on creativity Predictive processing in language comprehension The CREATE Lab investigates fundamental questions about learning and thought organization, with implications for educational neuroscience and clinical applications. His recent publications explore how sensorimotor experiences shape neural representations during cognitive tasks, particularly examining how environmental contexts and physical postures influence creative problem-solving and language processing.

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Avizia LongView profile

Assistant Professor

San José State UniversityUnited States

Avizia Long is Assistant Professor of Spanish and Single Subject Credential Program Coordinator for World Languages in the Department of World Languages and Literatures at San José State University. Educational background: Ph.D. in Hispanic Linguistics from Indiana University M.A. in Hispanic Linguistics from Indiana University M.A. in Spanish Languages, Literatures, and Cultures from North Carolina State University B.A. in English & Romance Languages from University of North Carolina at Chapel Hill Research specializes in Hispanic linguistics with emphasis on phonetics, second language acquisition, sociolinguistics, and Spanish dialectology. Recent publications examine bilingual phonology, task-based language learning, and crosslinguistic influences in Spanish acquisition. Taught courses include Spanish Morphology/Syntax (SPAN 110), Hispanic Linguistics (SPAN 160B), and Modern Spanish (SPAN 201). Maintains an active SJSU ScholarWorks profile documenting research output.

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Kirsten ReadView profile

Associate Professor

Santa Clara UniversityUnited States

Kirsten Read is an Associate Professor in the Department of Psychology at Santa Clara University’s College of Arts and Sciences. Her research focuses on early language development, particularly how children learn language through shared reading and language play. She holds a Ph.D. from Stanford University and leads the Read Lab, which explores how storybook reading and caregiver interactions impact young children’s vocabulary and cognitive growth. Her work emphasizes the role of extra-textual talk during shared reading, analyzing how caregiver dialogue influences learning. She has published extensively on topics like screen-mediated reading challenges, dual-language learning, and the psychological benefits of shared reading for both children and adults. Courses taught include Cognitive Psychology, Developmental Psychology, and research methods. Key contributions include studies on rhyme’s impact on vocabulary retention and the efficacy of personalized storybooks for prosocial behavior. Her research often involves community partnerships and undergraduate student collaboration.

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Abdu ArslanyilmazView profile

Professor

Youngstown State UniversityUnited States

Dr. Abdu Arslanyilmaz is a Chair Professor in the Department of Computer Science, Information, & Engineering Technology at Youngstown State University (YSU). His research focuses on autonomous vehicle safety, inclusive computing education for students with autism spectrum disorders (ASD), and game-based learning methodologies. He holds a Ph.D. from Texas A&M University (2007). His work includes groundbreaking studies on driver readiness in autonomous vehicles, hazard perception systems for young drivers, and accessible computing curricula for neurodiverse learners. Notable contributions include the NSF-funded 'ISAC' project (2020-2023) aimed at involving ASD students in computing, and NVIDIA's DRIVE PX 2 GPU platform collaboration for multi-user driving simulations. Dr. Arslanyilmaz has been recognized with YSU's Distinguished Professor awards (2021, 2022) and the 2020 Best Paper Award at the International Traffic and Transportation Simulation Conference. His research spans computational thinking assessment via eye-tracking, online learning effectiveness, and task-based language learning technologies. Grants: NSF STEM+C Partnership ($286,526), NVIDIA DRIVE PX 2 GPU Platform collaboration Awards: 3 YSU Research Professorships (2011-2019), Best Paper (2020) Key Areas: Autonomous vehicle safety systems, inclusive education technologies, multi-user simulation design His lab develops innovative educational tools and safety systems, bridging gaps between technology, education, and human factors.

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Chad LindemannView profile

Professor

Wisconsin Lutheran CollegeUnited States

Chad Lindemann serves as Professor of Art and Chair of the School of Fine Arts at Wisconsin Lutheran College. He holds formal academic credentials including an A.A. from Bethany Lutheran College, a B.A. from Augustana College, and an M.F.A. in Printmaking from Kansas State University. Bethany Lutheran College – A.A. Augustana College – B.A. Kansas State University – M.F.A. in Printmaking Lindemann specializes in typography and type design, most notably creating the Lindemann Sans typeface family. His research interests focus on geometric sans serif typography grounded in golden proportions, with applications across technology corporations, architectural firms, magazines, and branding industries. His work emphasizes legibility through proportional balance, open counters, high x-height, and distinctive glyphs. Lindemann teaches a comprehensive range of art courses including Drawing 1 & 2, 2D Design, Adobe Illustrator, Advanced Art Studio, Painting 1, Web Design 1 & 2, Web Concepts for Non-Designers, Portfolio Development, and Printmaking 1-4. His scholarly work centers on typeface design with PF Lindemann Sans representing his most significant contribution to the field. This typeface family demonstrates expertise in geometric sans serif design with 12 distinct weights and extensive language support. Spitznagel Award in Art (received during undergraduate studies) Lindemann serves as Chair of the School of Fine Arts and is a member of AIGA - The Professional Association for Design. His professional experience includes teaching figure drawing at Kansas State University and art instruction at Mid-Plains Community College in North Platte, Nebraska. Lindemann resides in Milwaukee with his wife and daughter, maintaining active professional engagement in both academic and commercial design spheres through his typeface publications and academic leadership.

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Giuliano AntoniolView profile

Associate Professor

Polytechnic School of MontrealCanada

Giuliano Antoniol is an Associate Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. He is a member of the Institute for Data Valorization (IVADO) and has established himself as a prominent researcher in software engineering, with recognition as one of the world's most productive software engineering researchers and among the top 2% most cited researchers in his field. Professor Antoniol's research spans several key areas in software engineering, with a particular focus on software evolution and maintenance, reverse engineering, static code analysis, and empirical software studies. His work frequently addresses practical challenges in software development, including software quality assurance, technical debt identification, and the application of machine learning techniques to software engineering problems. His research group has produced significant contributions to understanding code smells, identifier naming practices, and the impact of programming language features on software quality. His recent publications reveal a strong trend toward the intersection of traditional software engineering with artificial intelligence and machine learning. Many of his 2023-2025 publications focus on the challenges of testing and verifying machine learning systems, analyzing bugs in AI-generated code, and applying search-based techniques to complex software engineering problems. His work demonstrates a consistent empirical approach, with numerous studies analyzing real-world software systems and developer practices. Ranked among the world's most productive software engineering researchers (2021) Among the top 2% most cited researchers in his field (2021) Award for Most Influential Article of the Decade in Software Engineering (2021) Professor Antoniol has supervised an impressive number of graduate students, with 14 completed PhD theses and 18 Master's theses to his credit. His students have explored diverse topics including software testing, technical debt, machine learning applications in software engineering, and code quality analysis. His research has been supported by numerous grants that have enabled extensive empirical studies and the development of innovative software engineering tools and techniques.

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John TurnbullView profile

Professor

McMaster UniversityCanada

John Turnbull is a Professor of Medicine at McMaster University's Faculty of Health Sciences, with a distinguished career focused on neurodegenerative diseases, particularly Amyotrophic Lateral Sclerosis (ALS). His research spans clinical trials, neuroimaging, and the study of neuropsychiatric symptoms across various neurodegenerative disorders. He serves as a key contributor to the Ontario Neurodegenerative Disease Research Initiative (ONDRI), where he leads investigations into disease mechanisms, biomarkers, and potential therapeutic approaches. Dr. Turnbull's research program centers on ALS pathophysiology and treatment development, with significant contributions to understanding disease progression, functional assessment, and quality of life impacts. His work extends to Parkinson's disease, particularly examining freezing of gait and associated symptom changes. He has pioneered research connecting neuroimaging findings (white matter hyperintensities, cortical thickness, perivascular spaces) with clinical manifestations across neurodegenerative conditions. His laboratory investigates molecular mechanisms in ALS models, particularly focusing on Sonic hedgehog signaling pathways and motor neuron protection. Analysis of Dr. Turnbull's recent publication record reveals a strategic focus on platform trial design for ALS therapeutics, advanced neuroimaging biomarkers, and comprehensive characterization of symptom progression across neurodegenerative diseases. His work consistently appears in high-impact journals including JAMA Neurology, Lancet Neurology, and Alzheimer's and Dementia, demonstrating the significance of his contributions to translational neuroscience. Dr. Turnbull maintains an extensive collaborative network across multiple disciplines, working with clinicians, basic scientists, and methodologists to advance understanding of neurodegenerative processes. His leadership in the ONDRI initiative has established standardized assessment protocols across multiple disease cohorts, enabling direct comparisons of disease mechanisms and progression patterns. As principal or co-investigator on numerous clinical trials for ALS treatments, Dr. Turnbull has contributed significantly to therapeutic development in this challenging field. His work on functional rating scales and quality of life measures has improved assessment methodologies for clinical research and practice. His research continues to explore novel therapeutic targets while refining our understanding of disease mechanisms through both clinical and preclinical approaches.

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Edward A GibsonView profile

Professor

Massachusetts Institute of TechnologyUnited States

Edward A. Gibson is a Professor in the Department of Brain and Cognitive Sciences at MIT, leading the Gibson Lab (TedLab). His research focuses on the structure of human language, the interplay between culture and cognition, and language learning/processing mechanisms. He employs behavioral experiments, corpus analyses, and neuroimaging techniques (fMRI/ERP) to investigate syntactic frameworks, information processing constraints, and cross-linguistic universals. Key research areas include dependency grammar syntax, the role of pragmatics/world knowledge in language processing, and the cultural evolution of color/concept systems. Notable work examines how language contact influences conceptual restructuring in bilingual populations and the cognitive underpinnings of spatial reference frames in Amazonian cultures. Publications from 2022-2025 explore rational inference models in aphasia, communication efficiency in legal texts, and the neural basis of syntactic parsing. His lab's work emphasizes Bayesian approaches to noisy-channel comprehension and the resource-rational optimization of linguistic structures. Labs/Teams: Gibson Lab (TedLab) at MIT's McGovern Institute/Picower Institute for Learning and Memory.

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Roger LevyView profile

Professor

Massachusetts Institute of TechnologyUnited States

Roger P. Levy is a Professor in the Department of Brain and Cognitive Sciences at MIT, leading the Computational Psycholinguistics Laboratory. He holds a Ph.D. in Linguistics from Stanford University (2005) and has held faculty positions at UC San Diego and the University of Edinburgh. His research focuses on computational models of language processing, integrating psycholinguistic experiments, large datasets, and information-theoretic principles to understand human language comprehension and production. Key research areas include expectation-based processing, uncertainty management, and the interplay between syntax, semantics, and pragmatics. He has pioneered methods to evaluate neural language models against human cognitive processes, emphasizing incremental parsing and real-time comprehension. Levy has received prestigious awards, including the Alfred P. Sloan Fellowship and Guggenheim Fellowship. He is President of the Cognitive Science Society (2024–2025) and Chair of the MIT Faculty (2025–2027). His work bridges theoretical linguistics, cognitive science, and AI, with grants from NSF, NIH, and MIT-IBM collaborations. Notable contributions include the 'noisy-channel model' of sentence comprehension, studies on Mandarin classifier production, and the development of tools like SyntaxGym for evaluating language models. His lab's work has advanced understanding of how humans and machines process language incrementally and under uncertainty.

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Albert SharraView profile

Research Fellow

University of EdinburghUnited Kingdom

Dr. Albert Sharra is a Joint-postdoctoral Research Fellow at the University of the Witwatersrand and University of Edinburgh, and an Honorary Fellow in the Centre of African Studies at the University of Edinburgh. His academic work spans digital culture, political activism, criminology, and media studies with a strong focus on African contexts. He also serves as an Affiliate at Edinburgh's Centre for Data, Culture & Society, Research Fellow at the Institute for Advanced Studies in Humanities (IASH), and Affiliate at the Edinburgh Futures Institute's Media & Communications Cluster. Dr. Sharra's research falls within two main areas: 'digital culture, society and the state' examining how technologies transform political activism and state responses through policing and surveillance; and journalism/media culture focusing on technological transformations in Global South media. His work includes building the first comprehensive dataset of policing in Malawi since 1953 and editing a Special Issue on Digital State Surveillance of Political Activists in Africa for the Journal of Southern African Studies. His research interests encompass digital citizenship, online victimization, criminology in online spaces, and the future of journalism in Africa. His recent publications reveal a strong focus on BBC's legacy in African broadcasting, digital political activism in Southern Africa, and transformations in African newsrooms. The research demonstrates an interdisciplinary approach connecting digital sociology, political science, media studies, and criminology with particular attention to postcolonial contexts and decolonial frameworks. His work often employs comparative analysis across multiple African countries including Malawi, Kenya, Zimbabwe, and Uganda. IASH Susan Manning Grant at Edinburgh (2024) Joe Ebrahim Prize for Best Honours Dissertation (awarded to student) Multi-award-winning journalist with decade of newsroom experience Dr. Sharra actively supervises PhD and Master's students across institutions, with current advisees researching digital finance and women empowerment, philanthropic humanitarianism, fact-checking in Africa, political transitions, and cold war diplomacy. He has secured over €65,000 in professional development grants for African journalists through partnerships with Konrad Adenauer Stiftung and Friedrich Naumann Foundation, training over 500 media personnel across multiple African countries. His current projects include examining the Universal Periodic Review mechanism for human rights monitoring and investigating 'Tech companies and compensation for traditional media'.

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Mitsuhiko OtaView profile

Professor

University of EdinburghUnited Kingdom

Professor Mitsuhiko Ota is a faculty member in the Department of Linguistics and English Language at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. His research focuses on phonological and lexical development across languages, emphasizing first and second language acquisition, the role of linguistic input in child language development, and individual differences in phonological processing. He leads the Edinburgh Laboratory for Language Development (ELfLanD) and has contributed to major projects like the Wee Science consortium. Education: B.A. in Law from Sophia University, M.A. in Linguistics from Columbia University, Ph.D. in Linguistics from Georgetown University. Academic career includes ESRC-funded projects on phonotactic constraints and language transmission, and collaborative studies on autism-related speech perception differences. Teaching includes undergraduate and postgraduate courses on first/second language acquisition, research methods in developmental linguistics, and guided research on language learning. Current supervision of PhD students focuses on phonological and lexical development. Key contributions include: corpus development (Edinburgh and Ota Corpora), experimental studies on reduplication effects in word learning, and cross-linguistic analyses of speech perception in Japanese, Mandarin, and Swedish. His work has been supported by ESRC, British Academy, and Autism Speaks grants. Lab affiliations: ELfLanD within the Wee Science network conducting developmental research. Active in academic publishing with over 50 peer-reviewed articles and book chapters since 2000.

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Matthew HusbandView profile

Associate Professor

University of OxfordUnited Kingdom

Matthew Husband is an Associate Professor in the Faculty of Linguistics, Philology, and Phonetics at the University of Oxford, and a Tutorial Fellow at St. Hugh's College. His research focuses on the syntax-semantics interface and language processing, employing behavioral and neurophysiological methods such as acceptability judgments, eye-tracking, electroencephalography (EEG), and functional magnetic resonance imaging (fMRI). He leads the Language and Brain Laboratory, investigating how sentence meanings are composed and represented in the brain. His work bridges theoretical linguistics with experimental psychology, exploring questions like the neural mechanisms supporting sentence meaning composition and the cognitive processes underlying real-time language processing. Key areas include probabilistic prediction in language comprehension, event semantics, and the role of context in meaning construction. Recent studies address topics such as topichood effects, scalar implicatures, and the dissociation between prediction and integration processes in neural language networks. Matthew’s contributions span over 30 peer-reviewed articles, with a focus on methodological rigor and cross-disciplinary approaches. His research has been supported by the Language and Brain Lab infrastructure at Oxford, emphasizing collaborative work with neuroscientists and computational modelers.

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