Find Academic Supervisors

• Developmental Language Disorder
• Psycholinguistics
• Reading Comprehension
• +3 more

Carmen Julia Coloma Tirapegui is a Full Professor at the University of Chile with dual appointments: Department of Speech-Language, Faculty of Medicine (33 hours/week) and Research Unit, Institute of Advanced Studies in Education (11 hours/week). She holds a Doctorate from the University of Granada (2012) and Bachelor's/Professional degrees from the University of Chile (1987). Her research specializes in Developmental Language Disorder (DLD) , psycholinguistics, and literacy, with expertise in eye-tracking methodologies. Key focus areas include: Language processing in monolingual Spanish-speaking children Reading comprehension interventions for language disorders Longitudinal studies of grammatical complexity Lexical-semantic development in preschoolers Phonological awareness interventions Recent publications (2022-2024) predominantly investigate real-time language comprehension using eye-tracking, examining syntactic complexity, morphological processing, and reading skills in children with DLD. Research consistently demonstrates interdisciplinary approaches bridging linguistics, psychology, and neuroscience. She leads multiple research grants including Fondecyt projects: "Decoding and reading comprehension in students with 4th basic TDL" (2024-2027) and "Intervention in phonological, lexical and grammatical awareness" (2017-2021). She co-directs the Center for Advanced Research in Education (2014-2024), a Basal Financing Program initiative. Advises graduate theses on language disorders and literacy, including studies on visual attention during reading and morphosyntactic development. Teaches undergraduate/postgraduate courses including Cognitive Foundations of Communication , Research Methods in Psycholinguistics , and Language Development Disorders .

Julie A. Van DykeView profile

Adjunct Professor

• Language Comprehension
• Reading Disorders
• Cognitive Neuroscience
• +3 more

Dr. Julie A. Van Dyke serves as Senior Research Scientist and Vice President of Research and Strategic Initiatives at Haskins Laboratories, an independent research institute affiliated with Yale University and the University of Connecticut. She holds adjunct professorships at McMaster University and the City University of New York Graduate Center while maintaining affiliate status at UConn's CT Institute for Brain and Cognitive Sciences. Her NIH-funded research investigates neurocognitive mechanisms underlying language comprehension and reading disorders. Her educational background includes: Ph.D. in Cognitive Psychology from University of Pittsburgh M.Sc. in Computational Linguistics from Carnegie Mellon University Honors B.A. in Computer Science and Linguistics from University of Delaware Dr. Van Dyke's research centers on cue-based retrieval theory, examining how retrieval interference causes comprehension failures in both normative processing and clinical populations (dyslexia, ADHD, age-related decline). She pioneered the application of speed-accuracy tradeoff methodology to diagnose direct-access retrieval mechanisms and investigates individual differences in eye-movement control during reading. Her work bridges cognitive theory with clinical applications through machine learning classifiers for reading disability and fixation-related brain imaging of word-by-word processing. Analysis of her recent publications reveals consistent focus on retrieval interference mechanisms across multiple methodologies: eye-tracking studies establish individual skill factors in oculomotor control, neuroimaging work identifies neural correlates of interference resolution, and machine learning approaches develop diagnostic classifiers. Key trends include the role of predictive timing in fluency disorders and dissociation between grammatical vs. semantic interference effects. Her scientific recognition includes: NIH/NICHD Institutional Post-doctoral National Research Service Award NIH/NICHD Individual Post-doctoral National Research Service Award Dr. Van Dyke actively shapes her field through editorial roles as Associate Editor for Journal of Experimental Psychology: General and Section Editor for Language and Linguistics Compass. Her NIH-funded grants support collaborative projects with researchers including Victor Kuperman, Luca Campanelli, and Clint Johns, focusing on retrieval interference, reading disability mechanisms, and neural underpinnings of comprehension. Current initiatives integrate computational linguistics with cognitive neuroscience to model real-time processing during reading. As Vice President at Haskins Laboratories, she leads a multidisciplinary team utilizing eye-tracking, EEG, fMRI, and machine learning to investigate language processing. Her lab collaborates with the CT Institute for Brain and Cognitive Sciences and maintains strong ties with UConn's neuroscience community, with ongoing data collection for fixation-related brain imaging studies.

• Rich Web-based Applications Engineering
• Software Design
• Software Architectures
• +4 more

Nalaka R. Dissanayake serves as a Senior Lecturer in the School of Computer Science and Engineering at the University of Westminster, where he contributes to the Software Systems Engineering Research Group. With 17 years of academic experience since 2007, he progressed from student instructor to his current senior position while completing his doctoral studies. His foundational education includes a B.Sc. in Information Technology from the Sri Lanka Institute of Information Technology (2007), an M.Phil. from the University of Colombo School of Computing (2017), and a Ph.D. from the University of Westminster (2024). Dr. Dissanayake's research centers on rich web-based applications engineering, where he has established significant contributions through architectural style development and design methodology formalization. His work introduces specialized concepts including RiWAArch Style, BAW-MVC, and delta communication principles that address core challenges in web application state management and communication efficiency. Current research frontiers actively explore prompt engineering techniques for integrating AI/ML capabilities into rich web applications, demonstrating adaptation to emerging technological paradigms while maintaining focus on architectural fundamentals. His publication portfolio reveals a clear research trajectory evolving from AJAX application foundations (2013-2014) through architectural pattern specification (2017-2020) toward comprehensive design methodology development (2023-2024). This progression demonstrates increasing theoretical sophistication while maintaining practical implementation relevance, with consistent output across journals like the Journal of Web Engineering and major conferences including FTC and ICTer. As an active academic contributor, Dr. Dissanayake serves as a reviewer for the Journal of Web Engineering and various conferences. His research group membership provides access to collaborative opportunities within the university's software engineering ecosystem, while his extensive teaching experience across multiple institutions offers valuable mentorship perspective for graduate students.

• Taxation
• Fraud Investigation
• White-Collar Crime
• +5 more

Dr. Candace Witherspoon is an Associate Professor of Accounting in the College of Business Administration at Valdosta State University, where she has served since 2012. She holds a Doctor of Philosophy in Business Administration with a concentration in accounting and taxation from the University of Kentucky, along with a Master of Professional Accountancy and Bachelor of Science in accounting from Western Kentucky University. Her research focuses on taxation, particularly clients' perceptions of tax preparers' service quality, tax case law, and fraud investigation. Dr. Witherspoon employs innovative methodologies including linguistic analysis of online client reviews to understand how certification status and organizational form impact client satisfaction in tax services. Her work has revealed that clients experience certified preparers as relational ('we' interactions) while franchise preparers are viewed as transactional. As a Certified Fraud Examiner, Dr. Witherspoon brings specialized expertise in fraud investigation to both her teaching of Income Tax and Fraud courses and her research. Her scholarly work spans tax policy, professional ethics, knowledge sharing in organizations, and the unique challenges faced by emerging industries like marijuana dispensaries in navigating federal and state tax regulations. 2018 Student Engagement Award, LCOBA 2017 VSU Ethics Award - Stewardship 2017 Outstanding Service Award, LCOBA 2016 Accounting Teacher of the Year, LCOBA Student Advisory Council 2013 Rea and Lillian Steele Summer Grant 2007-2011 Von Allmen Fellowship Award 2011 Laurels Scholarship Dr. Witherspoon maintains active memberships in the American Accounting Association, American Institute of Certified Public Accountants, Association of Certified Fraud Examiners, and Beta Alpha Psi. Her research has been presented at numerous professional conferences including the American Tax Association Midyear Meetings and various Special Topics in Strategic and Emerging Technologies in Accounting Conferences. She has published in journals including the Journal of Emerging Technologies in Accounting, Journal of Knowledge Management, and Strategic Finance, demonstrating her commitment to advancing both theoretical and practical knowledge in accounting and taxation.

• Data Engineering
• Human-Computer Interaction
• Task Modeling
• +2 more

Allan Fousse is an Associate Professor in Data Engineering at ISAE-ENSMA, France, affiliated with Laboratory LIAS (a joint research unit between ISAE-ENSMA and ENSIP). His work bridges engineering and human-centered computing through task modeling and simulation research. His core research areas include: Data Engineering Human-Computer Interaction Task Modeling Software Engineering Simulation He specializes in developing task model simulators like ProtoTask to address inaccuracies in user interface design processes. Publications from 2012-2016 reveal consistent focus on model validation techniques, with trends showing evolution from tool development (2012) to comprehensive methodology reviews (2015) and accuracy refinement (2016) in task modeling. He operates within ISAE-ENSMA's Data Engineering team at Laboratory LIAS, which maintains parallel research groups in Automatic Control and Real Time systems across Poitiers and Chasseneuil campuses.

Simone ScalabrinoView profile

Assistant Professor

• Software Quality
• Software Testing
• Software Security
• +2 more

Simone Scalabrino is an Assistant Professor at the University of Molise, Italy, where he is part of the STAKE lab. He also serves as CSO at Datasound. His academic career includes teaching courses such as Automated Software Delivery and Object-Oriented Programming at the University of Molise. Dr. Scalabrino received his Ph.D. from the University of Molise in 2019 with a thesis entitled "Automatically Assessing and Improving Code Readability and Understandability," supervised by Prof. Rocco Oliveto. He earned his Master's Degree in Computer Science from the University of Salerno in 2015 and his Bachelor's Degree in Computer Science from the University of Molise in 2013. His research interests focus on Software Quality, Software Testing, Software Security, and Empirical Software Engineering . Dr. Scalabrino's work spans multiple areas including code readability assessment, software testing methodologies, Docker container analysis, game quality assessment, and voice user interface testing. His research often combines empirical methods with machine learning techniques to address practical software engineering challenges. Analysis of his recent publications reveals a strong focus on improving software quality through various approaches. His work spans code readability assessment, Docker container analysis, game quality testing, and voice user interface evaluation. There's a clear trend toward applying machine learning techniques to traditional software engineering problems, particularly in the areas of code understanding, defect prediction, and quality assessment. His research often involves large-scale empirical studies with real-world data from open source projects and commercial applications. Scientific Awards Distinguished Reviewer Award @ FSE 2025 Distinguished Reviewer for TSE (2023) Best Reviewer Award for JSS (2022) ACM Distinguished Paper Award @ MSR 2019 ACM Distinguished Paper Award @ ASE 2017 ACM Distinguished Paper Award @ ICPC 2016 Dr. Scalabrino has been actively involved in mentoring students through research projects, though specific student names are not listed in the provided information. He has served on program committees for numerous prestigious conferences including ASE, ICSE, ICPC, and FSE. His service extends to reviewing for top-tier journals such as Transactions on Software Engineering and Empirical Software Engineering. He leads or contributes to several research projects including DevProDev, which focuses on developer-centered recommendation systems, and ATTICUS, a tele-monitoring system for ambient-assisted living. Dr. Scalabrino has also developed multiple research tools such as Code Readability Predictor, TIRESIAS, OCELOT, CLAP, and ACRyL to address various software engineering challenges.

• Cognitive Psychology
• Language Processing
• Meaning Representation
• +1 more

Kay Livesay is an Associate Professor in the Department of Psychology at Linfield University, teaching core courses including PSYC 283 (Introduction to Cognition), PSYC 288 (Psychology of Language), PSYC 252 (Research Methods), and PSYC 389 (Cognitive Neuroscience). Her educational credentials include a B.S. from the University of California, Los Angeles, and M.A. and Ph.D. degrees from the University of California, Riverside. Research focuses on cognitive psychology with specialized expertise in lexical/sentential language processing and meaning representation. Her experimental work combines behavioral methods with computational modeling to investigate semantic networks, priming effects, and context-space dynamics in language comprehension. Publications from 1998-2003 reveal consistent emphasis on mediated priming mechanisms, corpus-based word recognition, and multi-level discourse analysis, demonstrating interdisciplinary integration of neuroscience, linguistics, and cognitive modeling. Scientific awards: No awards mentioned in source material. She actively mentors undergraduate researchers through hands-on projects in her lab, recently presenting collaborative findings at the WPA conference in Irvine. Students join via direct email inquiry to pursue thesis work in experimental cognition. Leads a dedicated undergraduate research team in Pioneer Hall investigating real-time language processing using reaction-time paradigms and computational simulations.

José RouillardView profile

Lecturer

• Brain-Computer Interfaces
• Multimodal Interaction
• Mobile Application Development
• +5 more

José Rouillard is a Lecturer-Researcher in Computer Science (section 27) at Université de Lille, affiliated with the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille) where he works in the Brain-Computer Interface (BCI) research team. His academic position combines teaching responsibilities with active research in human-computer interaction, particularly focusing on novel interface technologies and assistive applications. Dr. Rouillard's primary research interests center around Brain-Computer Interfaces with particular expertise in Steady-State Somatosensory-Evoked Potentials (SSSEP). His work explores multimodal interaction techniques, virtual reality integration with BCI systems, and applications for individuals with motor disabilities such as Duchenne muscular dystrophy. Recent publications (2023-2024) demonstrate continued innovation in BCI technology, including Wizard of Oz studies on user perception, advanced SSSEP recording techniques with cEEGrid systems, and multimodal cobot interaction frameworks using MQTT protocol. His research bridges theoretical neuroscience with practical applications for assistive technologies. As an educator, Dr. Rouillard has created one of the most comprehensive App Inventor 2 teaching resources available, with 76 detailed projects covering the full spectrum of mobile application development. His course materials progress from basic applications to advanced implementations involving Bluetooth communication with Arduino, Firebase database usage, and AI APIs including OpenAI's ChatGPT and DALL-E. His teaching spans multiple academic years, with documented student projects from 2013 through 2023 across various Master's programs including MMD IAE, MIAGE, and e-Services. Supervised PhD thesis: "Hybrid brain-machine interface to overcome disability caused by Duchenne muscular dystrophy" (Alban Dupres, 2016) Supervised PhD thesis: "Filtrage somesthésique pour des interfaces cerveau-ordinateur utilisant des stimulations vibro-tactiles" (Jimmy Petit, 2022) Dr. Rouillard maintains a strong educational presence through his extensive online resources, including YouTube video tutorials, NextCloud file sharing for course materials, and detailed project guides. His student projects demonstrate practical applications of mobile development across diverse domains including health monitoring, gaming, social networking, and educational tools. The breadth of his educational impact is evident in the hundreds of student applications documented from 2013-2023, showcasing his commitment to practical, hands-on learning in computer science education.