جست‌وجوی استاد و پژوهشگر

• Syllabification
• Bilingualism
• Phonetics
• +۳ مورد دیگر

Élise RYST is a Researcher in English Linguistics and Psycholinguistics at the University of Paris 8, associated with the LAPS team (EA 1569). Her research focuses on syllabification, bilingualism, and phonetic perception. She holds a Ph.D. in Language Sciences (2014) and has taught courses in English linguistics, phonetics, and syntax. RYST is affiliated with the Doctoral School 031 (Practices and Theories of Meaning) and has contributed to the development of the SaRP software for acoustic vowel analysis. Education: Ph.D. in Language Sciences (2014), Master’s in English Linguistics (2008), BA in English (2006) Key Projects: Syllabification Preferences and Bilingualism, Phonetic Keyboard Development Awards: Highest Honorable Mention for Ph.D. thesis (2014), M.Sc. with honors (2008) Her research explores how bilingualism affects syllable segmentation, with a focus on cross-linguistic perceptual differences between English and French speakers. She has presented work at international conferences, including the Réseau Français de Phonologie and the Barcelona Summer School of Bilingualism. RYST is a member of professional associations like TESOL France and the AFCP, contributing to language education and phonetic research communities.

Carla Hudson Kamمشاهده پروفایل

استاد

• Language Acquisition
• Developmental Psycholinguistics
• Gesture Studies
• +۳ مورد دیگر

Carla Hudson Kam is a Professor and Department Head in the Department of Linguistics at the University of British Columbia (UBC), within the Faculty of Arts. She holds a BA from Simon Fraser University (1996) and a PhD from the University of Rochester (2003). Her research focuses on language acquisition, developmental language processing, and gesture’s role in language learning. She explores how non-linguistic factors influence language learning and how language contact and change shape linguistic structures. Her work bridges experimental and theoretical approaches, examining topics such as the emergence of sign languages, iconicity in gesture, and the cognitive mechanisms underlying language acquisition. She leads the Language and Learning Lab at UBC, fostering collaborative research on child and adult language learning. Her contributions include developing the Infant Bookreading Database (IBDb), a resource for studying book-reading’s impact on early language development. Prominent publications include studies on sign language conventionalization, gesture-guided pronoun interpretation, and the role of phonetic naturalness in speech perception. She actively engages in academic discourse on methodology, advocating for transparent and replicable research practices.

• Cognitive Science
• Artificial Intelligence
• Language Models
• +۳ مورد دیگر

Tiwalayo Eisape is a Researcher at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Brain and Cognitive Sciences. Their work bridges cognitive science and artificial intelligence, focusing on topics such as language model behavior, human-machine interaction, and statistical learning mechanisms. Current research emphasizes understanding how neural language models process syntax and semantics, as well as replicating foundational studies in cognitive psychology to validate computational models. Key research themes include probing LLMs for human-like reasoning capabilities, analyzing incremental parsing in autoregressive models, and exploring cross-linguistic syntactic transfer in second language learning. Eisape’s contributions span reproducibility efforts in cognitive science and investigations into typing behavior dynamics through online platforms. No academic awards or grants are explicitly documented in available materials. As part of MIT’s BCS community, Eisape likely collaborates within interdisciplinary teams focused on computational neuroscience and AI ethics, though specific lab affiliations remain unspecified. Advising activity appears limited to non-disclosed projects, and formal educational background details are not provided in the profile.

Tara Tovar-Vidalesمشاهده پروفایل

مدرس

• Visual Sciences
• Glaucoma
• Histology
• +۳ مورد دیگر

Tara Tovar-Vidales is an Instructor at the Center for Anatomical Sciences within the College of Biomedical and Translational Sciences at the University of North Texas Health Science Center. Her research focuses on molecular mechanisms in glaucoma, particularly microRNA regulation in the optic nerve head and trabecular meshwork. MS in Cell Biology & Genetics, University of North Texas Health Science Center PhD in Cell Biology & Genetics, University of North Texas Health Science Center BS in Biology, University of The Incarnate Word Her work explores how dysregulated molecular pathways contribute to glaucomatous optic nerve head remodeling, emphasizing TGF-β signaling, microRNA expression, and extracellular matrix dynamics. Recent studies include investigations into procollagen C-proteinase enhancer 1 and its role in trabecular meshwork function. Publications highlight collaborations with researchers like Clark, A.F. and Wordinger, R.J., focusing on glaucoma models, growth factor effects, and cellular characterization. Current sponsored projects examine miRNA differences between populations and preclinical evaluations of glaucoma therapeutics. She employs molecular biology techniques, cell culture, microscopy, and histology in her studies. Her research may identify novel therapeutic targets for glaucoma treatment.

• Customer Experience
• Loyalty & Satisfaction
• Marketing Research
• +۳ مورد دیگر

Richard Spreng is an Associate Professor of Marketing and Associate Dean for Undergraduate Programs at the Broad College of Business, Michigan State University. He holds the United Shore Financial Services Faculty Fellowship in Sales. His primary research focuses on customer experience, loyalty, and satisfaction dynamics within marketing contexts, with notable contributions to service quality measurement, consumer regret analysis, and cross-cultural business studies. His academic leadership includes strategic curriculum development for undergraduate programs, including the direct admit program and enhancements in analytics and technology integration. He has been recognized for his scholarly contributions, including endowments and awards reflecting his impact in marketing education and research. Professor Spreng has published extensively in top-tier journals, exploring topics like consumer behavior, B2B service quality, and the role of guarantees in reducing post-purchase regret. His work bridges theoretical frameworks with practical applications, influencing both academic discourse and business practices. His research collaborations include partnerships with industry leaders like AYTM to enhance marketing research automation tools for students. He maintains active involvement in the Master of Science in Marketing Research (MSMR) program, emphasizing real-world applications through industry partnerships and CEO-led teaching initiatives.

Katalin Balogné Bércesمشاهده پروفایل

استاد

• Phonology
• English Phonology
• Syllable Structure
• +۷ مورد دیگر

Katalin Balogné Bérces is a Professor at the Catholic University of Ružomberok , Department of English Language and Literature since 2019. She previously held academic positions at Pázmány Péter Catholic University (PPCU), ELTE, and Károli Gáspár University in Budapest, with guest lecturing roles at the University of Edinburgh and Babeş-Bolyai University. Education : MA (1998) and PhD (2006, summa cum laude ) in English Linguistics from ELTE, Budapest; thesis published as Strict CV Phonology and the English Cross-Word Puzzle (2008). Research Interests : Focus on English phonology , particularly syllable structure, consonantal processes, laryngeal subsystems (voice vs. aspiration), and their historical emergence through language contact. Key contributions include modeling hybrid laryngeal systems in Northern English dialects and cross-morphemic palatalisation in Basque. Article Trends show her work spans theoretical phonology, cross-linguistic analysis (Basque, English, Italian), and applied linguistics in pronunciation teaching. Collaborative projects include Wiley-Blackwell Companion to Phonology (2023–2024) and OTKA Project 'Laryngeal patterns in synchrony and diachrony' (2022–2026). Scientific Awards : Dean’s Award for Teaching Excellence (2021) ESSE Book and Resource Grant (2024) State Stipend for PhD (1998–2001) Eötvös Scholarships (2001, 2003) Advising & Grants : Supervising Erika Sajtós and Noémi Gyurka in the PPCU Thematic Excellence Program . Principal investigator in the Visegrad Fund project on Kathleen E. Dubs. Collaborations with teams at SOAS, Tromsø, Memorial University, and the University of Edinburgh.

Thomas Fröchمشاهده پروفایل

پژوهشگر

• Geoinformatics
• Urban Digital Twins
• 3D Geospatial Modeling
• +۵ مورد دیگر

Thomas Fröch is a researcher at the Chair of Geoinformatics (Technische Universität München) focusing on AI-based urban digital twin technologies . His work centers on 3D geospatial modeling, semantic transformation, and deep learning applications for urban planning scenarios. Key projects: Connected Urban Twins (CUT) , AI4TWINNING , 3DCityDB Research areas: Urban digital twins , Semantic modeling , Deep learning for facade reconstruction Publications: 15 recent works emphasize 3D city models, diffusion models, and geospatial AI Contact: thomas.froech@tum.de | Office: Arcisstraße 21, Room 0126 | Phone: +49.89.289.22973

Viveka Lyberg Åhlanderمشاهده پروفایل

استاد

• Speech Therapy
• Communication in Education
• Acoustics in Classrooms
• +۱۲ مورد دیگر

Viveka Lyberg Åhlander is a Professor at Åbo Akademi University in the Faculty of Humanities, Psychology and Theology, specializing in Speech Therapy. Her research focuses on communication and sound environments in schools, particularly examining speaker comfort and listening effort in educational settings. She is actively involved in intervention research, teacher training programs, and interdisciplinary collaborations related to health, cognition, and minority language education. Her research interests span Speech Therapy , Classroom Acoustics , Voice Ergonomics , Language Development , and Professional Voice Use . She investigates how acoustic environments affect teachers’ vocal health and students’ cognitive processing and linguistic comprehension. Her work integrates psychology, education, and health sciences, with a strong emphasis on practical interventions. The trends in her recent publications show a consistent focus on vocal health across professions (education and healthcare), acoustic design in learning and work environments, and accessibility in media for people with visual impairments. Her research employs both qualitative and quantitative methods, including scoping reviews, intervention studies, and cognitive experiments. She has been recognized with several scientific awards: Harry Elvins legat (2022) Hedersmedlem i Finska Röstergonomisällskapet (2020) Studenternas ros (2020) Viveka Lyberg Åhlander has supervised academic work and is actively involved in grants and research projects, including a current project on word art as pedagogy funded by Svenska kulturfonden (2023–2025). She organizes research networks and conferences, such as the Ordkonstnätverket and seminars on medical humanities. She also contributes through editorial work, peer review, and public engagement, including participation in the Knowledge Cabaret at Turku Swedish Theatre, reflecting cultural impact. She is a key figure in interdisciplinary research connecting speech therapy, education, and health, leading projects that bridge academic research with real-world applications in schools and healthcare settings.

• Humanitarian operations
• Sustainable and socially responsible operations
• Operations and Supply Chain Analytics
• +۲ مورد دیگر

Alborz Hassanzadeh is an Assistant Professor of Operations and Supply Chain Analytics at NEOMA Business School, France. His research focuses on humanitarian operations, sustainable operations, and retail analytics. He has published in top-tier journals like European Journal of Operational Research and Applied Soft Computing. Ph.D. in Operations and Data Analytics from ESSEC Business School (France) Postdoctoral Fellow at HEC Montréal (Canada) Visiting Research Scholar at IESE Business School (Spain) His work addresses complex challenges in humanitarian aid supply chains, contract design, and multi-objective optimization. Key methodological domains include heuristic algorithms, decision support systems, and sustainable logistics. Recent publications demonstrate expertise in resource allocation, scheduling, and consumer behavior modeling. He serves as an ad hoc reviewer for multiple journals and applies his industry experience in manufacturing and retail to academic research. Collaborations span international institutions, with presentations at conferences like EURO, POMS, and ISMP.

Jared Watsonمشاهده پروفایل

استادیار

• Marketing
• Consumer Psychology
• Digital Economy
• +۹ مورد دیگر

Jared Watson is an Assistant Professor of Marketing at the Leonard N. Stern School of Business, New York University , where he has been a faculty member since 2018. His research centers on understanding online consumer behavior , with a focus on digital platforms, social media, product reviews, and behavioral science applications in marketing. Education: Ph.D. in Marketing, Robert H. Smith School of Business, University of Maryland B.A. in Business Administration (Marketing), Michael G. Foster School of Business, University of Washington Research Interests: Dr. Watson's work explores how digital environments shape consumer decisions. He investigates information diagnosticity , social influence , influencer marketing , and behavioral nudges . His research asks critical questions about platform design, review credibility, and demographic targeting to enhance engagement and decision quality for consumers, managers, and policymakers. Publication Trends: His scholarly output is consistently published in the big four marketing journals — Journal of Consumer Research , Journal of Marketing , Journal of Marketing Research , and Marketing Science . The articles reflect a strong interdisciplinary approach, combining insights from psychology, economics, and information systems to understand digital consumer behavior. Themes include persuasion, social proof, and algorithmic influence in online markets. Editorial and Professional Service: Ad-hoc reviewer for top marketing journals Editorial Review Board, Journal of Consumer Research Editorial Review Board, Journal of Consumer Psychology Editorial Review Board, Journal of Interactive Marketing Awards and Recognition: While specific awards are not listed, his placement in premier journals and media citations (e.g., TIME, MoneyGeek) indicate significant scholarly impact and public relevance. His expertise is frequently sought in discussions on influencer economies and digital marketing trends. Advising and Grants: Although no students or grants are explicitly mentioned, his active research agenda and faculty position suggest involvement in mentoring PhD students and securing research funding. His work likely involves collaborations with digital platforms and consumer data analysis. Labs and Research Teams: No specific lab or team is mentioned, but his research likely involves experimental design, survey methods, and behavioral data analysis, possibly in collaboration with NYU’s digital marketing or consumer behavior research groups.

Raquel Garrido Alhamaمشاهده پروفایل

استادیار

• Computational modelling of language learning
• Language acquisition
• Language evolution
• +۷ مورد دیگر

Dr Raquel Garrido Alhama is an Assistant Professor of Artificial Intelligence for text and human interaction at the Institute for Logic, Language and Computation (ILLC) , University of Amsterdam. She also co-directs the /k/omputation and Language Lab and previously served as Assistant Professor at the Cognitive Science and Artificial Intelligence department of Tilburg University. She earned her PhD from the ILLC under the supervision of Jelle Zuidema, Remko Scha and Carel Ten Cate, with a dissertation entitled Computational Modelling of Artificial Language Learning . Prior post-doctoral positions include the Max Planck Institute for Psycholinguistics and the Basque Center on Cognition, Brain and Language. Research Interests: Computational modelling of language learning and evolution Language acquisition, word learning and sentence processing Neural-symbolic integration and connectionist architectures Visual and auditory word recognition, syntactic parsing and part-of-speech tagging In recent years her work has converged on validating developmental milestones—such as the onset of productive determiner–noun combinations—using large-scale child corpora and neural models. She also investigates how multi-agent referential games can lead to emergent compositional languages, moving from image to richer graph representations. Scientific Awards: Best Article Award (2019) from Psychonomic Bulletin & Review for the review on computational models of rule learning Best Poster Award (2015) at the International Conference on Cognitive Modeling Teaching & Supervision: Dr Alhama has designed and lectured courses on advanced programming for cognitive science, computational linguistics, linear algebra and language acquisition at Tilburg University, University of Amsterdam, Radboud University and the University of the Basque Country. She currently supervises eleven MSc and BSc students in AI, Logic and Cognitive Science. Labs & Teams: She is the founding co-director of the /k/omputation and Language Lab together with Phong Le, where they use Language Emergence frameworks to explore the cognitive prerequisites for displacement and compositionality in human language.

• Developmental neurobiology
• Neural regeneration
• Stem cell dynamics
• +۵ مورد دیگر

Veronica G. Martinez Acosta, Ph.D. is a Professor of Biology at the University of the Incarnate Word , where she has worked since 2008, previously serving as Associate Professor (2012-2018) and Assistant Professor. She co-directs the NSF REU site at the Marine Biological Laboratory and serves as an officer of the Faculty for Undergraduate Neuroscience. Ph.D. in Zoology from Texas A&M University (2005) Postdoctoral fellowship in Neurobiology at University of Texas (2005-06) Her research focuses on neural regeneration and stem cell dynamics in invertebrate models like Lumbriculus variegatus and Drosophila , investigating molecular mechanisms that enable functional recovery after injury. She emphasizes undergraduate research mentorship, with funding from NSF and the Department of the Army. Recent publications highlight her dual focus on regenerative biology (studying annelid worms' neural repair processes) and diversity initiatives in STEM education. Her 2018 article on university-level diversity planning underscores her commitment to equity in academia. Scientific Recognition UIW Dr. Kathleen Light Outstanding Faculty Award (2019) Society for Integrative and Comparative Biology travel award (2018) Multiple UIW Faculty Endowment Research Awards (2009-2019) As a Whitman Center Scientist at the Marine Biological Laboratory since 2016, she contributes to summer research programs while maintaining an active lab at UIW. Her teaching portfolio includes advanced courses in neurobiology , developmental biology , and cell biology .

Nikos Komodakisمشاهده پروفایل

استاد

• Deep Learning
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Nikos Komodakis is a Professor in the Computer Science Department at the University of Crete, Greece, where he develops efficient, scalable and mathematically well-grounded algorithms for analyzing visual data including static natural images, video, and medical image data. His research spans deep learning, computer vision, machine learning, and artificial intelligence with significant contributions to self-supervised learning, few-shot learning, and knowledge distillation techniques. His work demonstrates a strong theoretical foundation combined with practical applications, particularly in medical imaging. Komodakis has published extensively in top-tier computer vision venues including CVPR, ICCV, ECCV, and IEEE Transactions on Image Processing. His recent publications (2022-2025) show a growing emphasis on medical image analysis applications while maintaining strong contributions to fundamental computer vision problems. Notable contributions include novel approaches for unsupervised representation learning that surpass state-of-the-art methods, effective techniques for knowledge distillation (such as the QUEST framework), and innovative frameworks for few-shot visual learning. Komodakis serves on the editorial boards of prestigious journals including the International Journal of Computer Vision, Computer Vision and Image Understanding Journal, and Computational Intelligence Journal. He has been a frequent area chair for major computer vision conferences including CVPR, ICCV, ECCV, and BMVC. Spyros Gidaris received the Ponts Foundation Best Thesis Prize and the University Paris-Est Best Thesis prize under Komodakis' supervision Sergey Zagoruyko received the AFRIF 2018 Thesis Prize for his PhD work supervised by Komodakis His research group has developed influential techniques including Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning, which surpassed previous state-of-the-art methods. The group maintains active GitHub repositories for many of their publications, demonstrating commitment to reproducible research. Current research directions include advancing medical image analysis through deep learning, improving self-supervised learning frameworks, and developing more efficient neural network architectures.

Aleksander Smywiński-Pohlمشاهده پروفایل

استادیار

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Aleksander Smywiński-Pohl is an Assistant Professor at the Institute of Computer Science , Faculty of Computer Science, AGH University of Science and Technology in Kraków, Poland. He holds a PhD in Computer Science from AGH (2015) for his thesis "Automatic Information Extraction from Polish Texts" and a parallel degree in Philosophy from Jagiellonian University. His academic career includes teaching at Jagiellonian University (2007-2016) and AGH (since 2008), where he currently instructs courses in Artificial Intelligence and Natural Language Processing. His research focuses on Natural Language Processing with specialization in Polish language technologies, formal ontologies , legal text analysis, and cognitive science. Key areas include: Machine learning for low-resource languages Legal document processing (amendments, argument retrieval) Neural models for translation and classification Semantic web technologies He has supervised over 30 student theses in NLP/ML applications and contributes to national NLP evaluations (PolEval).

Muhammad Asifمشاهده پروفایل

دانشیار

• Machine Learning
• Data Fusion
• Software Engineering
• +۶ مورد دیگر

Muhammad Asif is Tenured Associate Professor of Computer Science and Chairman at National Textile University, Faisalabad. His career spans roles as Director of Graduate Studies and Research at NTU, a visiting researcher at Japan's National Institute of Information, and a software engineer for Pakistan Air Force projects. Ph.D. and MS from Asian Institute of Technology (2012, 2009) via HEC foreign scholarship Over 200 impact factors from top journals Secured 300+ million PKR in research funding Research Interests: Machine Learning & Data Fusion Neural Networks & Sentiment Analysis Computer Vision & Cybersecurity Educational Technology & AI Applications Recent publications show trends in multimodal AI systems , steganography security , and education-technology integration . His work spans from 2023–2025 , with a focus on meta-learning , image analysis , and sentiment modeling . Scientific Recognition: HEC Foreign Scholarship High-impact publications across multiple domains Editorial roles in IEEE Access , PLOS One , and PeerJ Computer Science Administrative Roles: Chairman, Department of Computer Science (NTU) Permanent advisor at Punjab Public Service Commission Program evaluator for National Computing Education Accreditation Council