جست‌وجوی استاد و پژوهشگر

Frank Reinholdمشاهده پروفایل

استاد

• Mathematics Education
• Educational Psychology
• Technology in Education
• +۶ مورد دیگر

Frank Reinhold serves as Professor of Mathematics Education at the University of Education Freiburg (Pädagogische Hochschule Freiburg), where he leads the Institute for Mathematical Education. His academic career spans research, teaching, and leadership roles focused on mathematics education and digital learning environments. Previously, he held postdoctoral positions at both the University of Education Freiburg and Technical University of Munich, where he completed his PhD in Mathematics Education in 2018. His educational background includes a PhD from Technical University of Munich (2018), State Examination for Gymnasium Teaching in Mathematics and Physics from University of Regensburg (2012), and undergraduate studies in Mathematics and Physics Education at University of Regensburg (2007-2012). Before his academic career, he worked as a high school teacher at Wilhelm-Hausenstein-Gymnasium Munich (2014-2017). Reinhold's research centers on mathematics education with emphasis on digital tools, fraction learning, cognitive processes, and teacher training. His work explores how technology-enhanced learning environments impact mathematical understanding, particularly in fraction concepts and statistical reasoning. He investigates cognitive processes through methods like eye-tracking and process data analysis from digital learning environments, examining how students develop conceptual understanding and how teachers can effectively diagnose and address misconceptions. His research portfolio includes significant projects such as Di.ge.LL2 (Digital teaching-learning settings for cognitive activation), eye-teach-stats (teacher training with eye-tracking vignettes), frACTIONs (learning fractions with digital tools), and MINT-ProNeD (professional networks for adaptive innovations in STEM teacher education). These projects collectively address how digital tools can enhance mathematical understanding while considering individual differences among learners. Scholarship for postdoctoral researchers 2021 from Daimler and Benz Foundation GDM Dissertation Award 2020 for outstanding mathematics education dissertation Nomination for Polytechnik-Preis 2019: Dealing with Diversity in MINT Education As a mentor, Reinhold guides doctoral students and emerging researchers in mathematics education. His research is supported by substantial funding from organizations including the German Federal Ministry of Education and Research (BMBF), Baden-Württemberg Ministry of Science, Research and Art, and Erasmus+. He serves as scientific advisor to the State Institute for School Quality and Educational Research (ISB) Munich and participates in expert panels for educational initiatives in Baden-Württemberg. Reinhold co-leads the working group 'Mathematics Education and Digital Tools (AK MdW)' of the Society for Didactics of Mathematics (GDM) and contributes to the development of educational standards for digital mathematics instruction. His collaborative work spans international partnerships with institutions in Germany, the Netherlands, Belgium, and Colombia, reflecting a commitment to advancing mathematics education through both theoretical insight and practical classroom applications.

Rachel Hollandمشاهده پروفایل

مدرس ارشد

• Cognitive Neuroscience
• Language Disorders
• Neuroimaging
• +۳ مورد دیگر

Rachel Holland is a cognitive neuroscientist specializing in acquired disorders of language who joined City, University of London in 2013. She currently serves as the BSc Speech and Language Therapy Programme Director within the Division of Language and Communication Science. Her academic journey began at the University of Manchester where she earned her BSc, MRes, and PhD in Psychology. Her research focuses on understanding how language function is organized within the human brain and how it deteriorates following brain damage or disease. Dr. Holland employs a range of complementary neuroscience techniques including non-invasive brain stimulation, functional neuroimaging, and neuropsychological investigation to study language recovery and treatment of anomia after aphasic stroke. Her work bridges cognitive neuroscience with clinical speech-language pathology, particularly in developing evidence-based interventions for language disorders. Analysis of her publication record from 2010-2021 reveals a clear progression from basic research on language processing mechanisms to applied clinical research on aphasia treatment. Her most recent work demonstrates increasing sophistication in predictive modeling of treatment response based on lesion location and therapy dosage, reflecting her growing expertise in translational neuroscience. As Programme Director, Dr. Holland teaches undergraduate modules SL2002 (Biomedical Sciences) and SL3002 (Language Sciences), as well as postgraduate modules SLM002 and SLM008. Her teaching expertise extends to neuroimaging techniques and research methods, reflecting her strong methodological background. Dr. Holland maintains active research collaborations with principal investigators from the MRC Cognition and Brain Sciences Unit in Cambridge, NARU at the University of Manchester, and the Institute of Cognitive Neuroscience in London. Her work has been supported by prestigious funding bodies including Wellcome, MRC, the Stroke Association, and NIHR, demonstrating the significance and impact of her research within the neuroscience community.

• Artificial Intelligence
• Evolutionary Algorithms
• Automatic Machine Learning
• +۴ مورد دیگر

Shengcai Liu is an Assistant Professor in the Department of Computer Science and Engineering at the Southern University of Science and Technology (SUSTech). Holding a PhD in Engineering, he has established himself as a researcher with over 10 publications as first or corresponding author in top artificial intelligence conferences and journals. His academic journey includes research positions at Singapore's Agency for Science, Technology and Research (A*STAR) before joining SUSTech's faculty. Education: PhD in Computer Science and Engineering, University of Science and Technology of China (2014-2020) Bachelor's in Computer Science and Engineering, University of Science and Technology of China (2010-2014) Dr. Liu's research centers on automatic algorithm design and evolutionary approaches to machine learning. He investigates how AI systems can autonomously construct efficient algorithms for complex optimization problems while maintaining robustness and reliability. His work bridges theoretical foundations with practical applications in combinatorial optimization, adversarial machine learning, and large language model development, with particular focus on making algorithm design processes more systematic and effective. His publication record demonstrates a clear trajectory from foundational work on algorithm portfolios to sophisticated integration of evolutionary methods with large language models. Recent work shows increasing focus on textual adversarial attacks, combinatorial optimization, and leveraging large language models as optimization tools themselves. This progression reflects both theoretical depth and practical relevance to current AI challenges. Professional Activities: Project Leader for Huawei-funded research on combinatorial optimization solvers (CNY 400,000) Member of IEEE, IEEE CIS, and AAAI Reviewer for top journals including TPAMI, TEVC, TCYB Conference reviewer for NeurIPS, ICML, AAAI, IJCAI Dr. Liu maintains active research collaborations through the Artificial Intelligence RAMS Technology Innovation Laboratory at SUSTech, where his team focuses on developing next-generation automatic machine learning systems with applications in optimization and security domains.

Laura Dilleyمشاهده پروفایل

دانشیار مدعو

• Phonetics
• Phonology
• Speech and Hearing Biosciences
• +۶ مورد دیگر

Laura Dilley is an Adjunct Associate Professor in the Department of Communicative Sciences and Disorders at Michigan State University. She holds a Ph.D. in Speech and Hearing Biosciences and Technology from MIT and Harvard (2005) and a B.S. in Brain and Cognitive Sciences from MIT (1997). Her research focuses on phonetics, prosody, and speech processing, with significant work on cochlear implants, infant-directed speech, and the cognitive mechanisms of spoken language understanding. Education: B.S., Brain and Cognitive Sciences, MIT (1997) Ph.D., Speech and Hearing Biosciences and Technology, MIT and Harvard (2005) Her publications span prosodic transcription systems, auditory rhythm discrimination, cochlear implant-related speech processing, and AI applications in clinical practice. Recent work explores generative AI risks and QAnon propaganda as information warfare. Earlier studies examine speech segmentation, perceptual isochrony, and acoustic variability in infant-directed speech. Laura’s research integrates neuroscience, linguistics, and technology to address challenges in language development and speech intelligibility. She actively investigates the interplay between distal speech rate, prosodic cues, and contextual predictability in spoken communication.

• Explainable Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۵ مورد دیگر

Francisco de Arriba Perez serves as an Assistant Professor in the Department of Computer Science at the School of Telecommunications Engineering, University of Vigo, where he contributes to the Research Center for Telecommunication Technologies and leads research within the TC1 Group of Information Technologies. He earned his PhD from the University of Vigo in 2019 with a dissertation titled Application of wrist wearables in educational environments for the characterization of sleep and stress , supervised by Dr. Manuel Caeiro Rodríguez and Dr. Juan Manuel Santos Gago. His research centers on Explainable Artificial Intelligence and Natural Language Processing , with pioneering applications in mental health monitoring (postpartum depression, anxiety, cognitive decline), wearable technology integration , and real-time stream analysis for social networks and financial systems. He specializes in developing interpretable machine learning frameworks that bridge theoretical AI advancements with practical healthcare implementations, particularly through large language models for clinical decision support. Analysis of his 15 most recent publications reveals a dominant research trajectory toward healthcare AI (60% of works), with significant contributions to mental health diagnostics using conversational interfaces, followed by applications in social network security (20%) and financial forecasting (20%). His methodology consistently emphasizes explainability , real-time processing , and stream-based adaptation to address data drift challenges. As an active member of the TC1 Group of Information Technologies, he collaborates on interdisciplinary projects advancing telecommunication technologies and information systems, with recent work exploring robotic avatars for social pilgrimage and accessibility enhancements through wearable computing.

Ali-reza Montazemiمشاهده پروفایل

استاد

• Knowledge Management
• Computer-Mediated Communication Systems
• Social Networks
• +۴ مورد دیگر

Ali Reza Montazemi is a Full Professor of Information Systems at the DeGroote School of Business, McMaster University, where he leads research at the intersection of digital technologies and organizational behavior. His work bridges theoretical rigor with practical applications in business process design and consumer-facing systems. Montazemi's research program focuses on knowledge management in digital environments, computer-mediated communication systems, social network dynamics, AI-driven business process optimization, and the psychological mechanisms underlying online consumer behavior. Recent investigations examine how negativity bias affects review interpretation, chatbot knowledge-sharing efficacy, and digital transformation leadership in public sector contexts. His publications since 2019 reveal a strategic concentration on online review ecosystems—analyzing diagnosticity, valence effects, and platform effectiveness—while expanding into government digital transformation and AI-augmented knowledge management. This trajectory demonstrates consistent methodological sophistication across meta-analyses, experimental designs, and case studies. Scientific recognition includes: Citation of Excellence Highest Quality Rating by ANBAR Electronic Intelligence Best Paper at International Conference on Information Systems Montazemi directs externally funded research supported by Natural Sciences and Engineering Research Council of Canada, Canadian International Development Agency, Ontario Research Network on Electronic Commerce, Medical Research Council of Canada, Manufacturing Research Corporation of Ontario, and Ontario Centres of Excellence. As an editorial board member for European Journal of Information Systems and co-chair of Americas Conference on Information Systems, he actively shapes scholarly discourse in information systems research.

• Education
• Foreign Language Education
• English Language Teaching
• +۵ مورد دیگر

Ferda İlerten is a Lecturer at the Faculty of Education, Department of Foreign Languages at Yıldız Technical University. Holding a PhD in Foreign Language Education from Boğaziçi University (2012-2021), she is currently pursuing post-doctoral research at Harvard Graduate School of Education (2024-present). With over 13 years of teaching experience, she has held roles including Deputy Head of Department (2013-2015, 2019-2020) and taught at institutions like Brown University and Harvard University. Education : PhD in Foreign Language Education (Boğaziçi University), MA in Foreign Language Education (Çukurova University), BA in English Language Teaching (Çukurova University) Her research focuses on foreign language education , critical thinking , practicum training , and gender in language . She has led projects like the TUBITAK-funded longitudinal study on 21st-century skills in pre-service English teaching. Her work bridges bilingualism and educational evaluation , with recent publications analyzing Turkish-Arabic bilingual children's reading fluency and metadiscourse in EFL writing. Scientific collaborations include co-authoring studies with scholars such as Banu Haznedar and Nihal Babür. Awards include the 2008 Best Oral Presentation Award at the 8th International Conference on Language, Literature, and Rhetoric. She has participated in 8+ international conferences and received grants like the Fulbright Teaching Assistant Program.

Hülya Arslan Erolمشاهده پروفایل

استاد

• Turkish Language
• Turkish Dialectology
• Historical Linguistics
• +۷ مورد دیگر

Professor Hülya Arslan Erol is a distinguished academic at Gaziantep University , where she serves in the Faculty of Arts and Sciences , Department of Turkish Language and Literature . With a career spanning nearly three decades, she has held positions at multiple Turkish universities including Kilis 7 December University and Çanakkale Onsekiz Mart University. Her research interests encompass Turkish language and dialectology, historical linguistics, morphological changes in Turkish, Anatolian and Rumelian dialects, Syrian Turkmen dialects, and semantic changes in Turkish . Professor Arslan Erol has made substantial contributions to the field through numerous publications focusing on Turkish dialects, particularly those of Kilis province and Syrian Turkmen communities. Her scholarly output reveals a strong focus on dialectological studies , with particular attention to morphological, phonological, and syntactic features of Turkish dialects. Her recent work has increasingly focused on Syrian Turkmen dialects, documenting linguistic features that are rapidly changing due to migration and sociopolitical factors. University Publication Incentive Award (2010) Professor Arslan Erol has supervised numerous graduate students, including doctoral candidates working on topics such as Kumyk Turkish vocabulary, mental verbs in Tatar Turkish, Uzbek Turkish vocabulary, and comparative studies of Turkish dialects. She has also led multiple research projects, including the comprehensive documentation of Kilis province dialects and Syrian Turkmen Turkish dialects. Her academic leadership extends to editorial roles, including service on the editorial board of Kilis 7 Aralık University Social Sciences Journal , and administrative positions such as Department Chair and member of various university committees.

• Artificial Intelligence
• Machine Learning
• Multi-Agent Systems
• +۶ مورد دیگر

Natalia Criado Pacheco is a Senior Lecturer at Liverpool John Moores University, specializing in Artificial Intelligence, Machine Learning, and Ethical AI. Her academic career spans roles at the University of Bolton and ongoing research collaborations in AI ethics, normative systems, and algorithmic fairness. Current Role : Senior Lecturer (2014–present) Research Focus : AI ethics, multi-agent systems, digital discrimination Her research explores the intersection of AI and ethics, addressing issues like moral uncertainty, algorithmic bias, and normative governance. Key projects include: SAIS (Secure AI Assistants) : EPSRC-funded work on privacy and user preferences DADD (Discovering and Attesting Digital Discrimination) : Investigating bias in AI systems MoNCU (Norm Monitoring Under Uncertainty) : Developing frameworks for ethical AI

Anne Wienholzمشاهده پروفایل

پژوهشگر

• Sign Language Linguistics
• Psycholinguistics
• Neurolinguistics
• +۳ مورد دیگر

Dr. Anne Wienholz is a Researcher at the Institute for German Sign Language (IDGS) within the Department of Language, Literature, and Media, University of Hamburg's Faculty of Humanities. She works on DFG-funded projects focused on experimental sign language research. Her research spans sign language linguistics, psycholinguistics, and neurolinguistics. Key interests include sentence processing in German Sign Language (DGS) and American Sign Language (ASL), language acquisition in deaf children, pronominal reference resolution, and age-of-acquisition effects. She employs eye tracking, ERP, and experimental methodologies to investigate cognitive and neurophysiological mechanisms. Analysis of her 12 publications (2018-2025) reveals consistent experimental investigations of sign language syntax, reference resolution, and developmental trajectories. Work frequently compares DGS and ASL, examining adjective placement, anaphora, and age effects through integrated behavioral and neurophysiological approaches. Dr. Wienholz contributes to DFG projects advancing sign language resources including the DGS Corpus and specialized dictionaries. These grants support corpus development and experimental infrastructure at the IDGS. She is affiliated with the Experimental Sign Language Laboratory (EGS-Labor), utilizing eye tracking and EEG. The IDGS develops critical resources like the Digital Dictionary of German Sign Language (DW-DGS) and domain-specific lexicons for health, psychology, and social work.

Audrey Hazamyمشاهده پروفایل

استادیار

• Emotion and Language Processing
• Parkinson's Disease
• Linguistic and Cognitive Processing
• +۳ مورد دیگر

Dr. Audrey Hazamy serves as an Assistant Professor in the Department of Communication Arts, Sciences, and Disorders at Brooklyn College, City University of New York, within the School of Humanities and Social Sciences. Her research focuses on neurogenic communication disorders with emphasis on emotion-language interactions in Parkinson's disease and cognitive-linguistic processing across populations. Her educational background includes: Bachelor of Arts in Psychology, Florida Atlantic University (2007) Master of Science in Experimental Psychology, Georgia Southern University (2009) PhD in Communication Sciences and Disorders, University of Florida (2015) Dr. Hazamy's research program investigates emotion processing in language production , cognitive-linguistic interactions in neurodegenerative conditions, and discourse analysis in aphasia. Her work examines how dual-task paradigms affect communication, emotional valence in word choice, and coherence in neurogenic populations, bridging clinical practice with cognitive neuroscience. Recent publications (2019-2022) reveal consistent focus on Parkinson's disease mechanisms and aphasia discourse characteristics. Key trends include quantifying emotional language disruptions, analyzing global coherence deficits, and evaluating dual-task impacts on communication. Her work demonstrates strong clinical relevance for neurogenic communication disorders with methodological emphasis on experimental paradigms and discourse analysis. No scientific awards are documented in available records. Dr. Hazamy teaches core courses including Anatomy & Physiology of Speech & Swallowing, Neurological Bases of Communication Disorders, Neural Processes of Communication, and Research in Speech-Language Pathology. While her conference presentations indicate active scholarly engagement, specific grant funding and student advising details remain undocumented in provided materials.

• Trustworthy machine learning
• Explainable AI
• Interpretability
• +۵ مورد دیگر

Damien Garreau is Professor for the Theory of Machine Learning at Julius-Maximilians-Universität Würzburg , Germany. Until March 2024 he served as Associate Professor in the Probability and Statistics team of the J. A. Dieudonné laboratory at Université Côte d'Azur and was a member of the Inria Maasai team in Sophia-Antipolis. Earlier positions include post-doctoral research at the Max Planck Institute for Intelligent Systems in Tübingen and PhD studies in the Inria Sierra team in Paris. Education & Career Path PhD, Inria Sierra team, Paris – advisors Sylvain Arlot & Gérard Biau Post-doc, Max Planck Institute for Intelligent Systems, Tübingen – mentor Ulrike von Luxburg Associate Professor, Université Côte d’Azur / Inria Maasai (until March 2024) Professor for Theory of Machine Learning, Julius-Maximilians-Universität Würzburg (since 2024) Research Focus Garreau’s research centers on trustworthy machine learning . He investigates how to explain, audit, and robustify modern AI systems, with particular emphasis on post-hoc interpretability , statistical guarantees of explanation methods, fairness , and causality . Representative contributions include theoretical analyses of LIME and Anchors, novel explanation methods such as SMACE and GLEAMS, and practical tools for vision and NLP that remain faithful under adversarial or out-of-distribution settings. Across computer vision, natural-language processing, and healthcare applications, his work bridges rigorous theory with impactful algorithms, advancing the societal goal of deploying AI systems whose decisions can be trusted and understood by humans. Scientific Awards & Recognition Best Paper Award , ECML 2024 Area Chair , ICML 2025 ANR JCJC Grant NIM-ML (2021–2025) Université franco-allemande support for Winter School on Causality and Explainable AI Advising, Grants & Collaborative Projects Garreau has successfully supervised or co-supervised a growing cohort of doctoral and master’s students, including Gianluigi Lopardo, Kensuke Mitsuzawa, Martin Charachon, Jonas Wacker, Samuel, Antonio, Magamed, Arthur Assad, Charbel Yahchouchi, and Mariana Chaves. He is the PI of the ANR JCJC project NIM-ML , whose goal is to develop next-generation interpretability methods endowed with statistical guarantees. He co-organizes the annual Winter School on Causality and Explainable AI , fostering Franco-German academic exchange. Labs & Teams Since 2024 he leads the Professorship for the Theory of Machine Learning at Julius-Maximilians-Universität Würzburg. Previously he was a core member of the Maasai Inria team on the Sophia-Antipolis campus, and an active collaborator of the J. A. Dieudonné mathematics laboratory. He maintains strong ties with the TML group at the Max Planck Institute for Intelligent Systems and regularly hosts joint visitors and workshops.

• Process-based diagnostics of reading and language skills
• Eye movements in children and adults
• Cognitive deficits of weak readers
• +۷ مورد دیگر

Sascha Schroeder is a Professor of Educational Psychology at the Georg-August University of Göttingen since 2018, where he heads the Department of Educational Psychology. Previously, he led the Max Planck Research Group 'Reading Education and Development' (REaD) at the Max Planck Institute for Human Development in Berlin from 2012-2018, following research positions at the University of Kassel, Max Planck Institute, and University of Cologne. Dr. Schroeder's research focuses on language and text psychology, with emphasis on process-based diagnostics of reading and language skills, eye movements in children and adults, and cognitive deficits of weak readers. His work in educational psychology explores digitalization of teaching and learning contexts, serious gaming, and embedded assessment. Methodologically, he specializes in linear mixed-effect models, diffusion models, reaction time distributions, and cognitive modeling. Analysis of his recent publications reveals a strong focus on morphological processing, eye-tracking research in reading development, and cross-linguistic studies. His work spans both fundamental cognitive processes and applied educational interventions, with particular attention to developmental trajectories from childhood through adulthood. The research often employs sophisticated methodologies to examine how readers process language at multiple levels. Dr. Schroeder maintains an active research program with numerous collaborations, particularly with researchers such as Tiffin-Richards, Hasenäcker, Mousikou, and Grolig. His work bridges theoretical cognitive psychology with practical educational applications, contributing significantly to our understanding of reading development and language processing.

Kai Alterمشاهده پروفایل

مدرس ارشد

• Speech and Language Processing
• Emotional Processing in Laughter
• Tinnitus
• +۵ مورد دیگر

Kai Alter is a Senior Lecturer in Auditory Cognitive Neuroscience at Newcastle University's Faculty of Medical Sciences, affiliated with the Biosciences Institute. They also serve as an Affiliated Lecturer at the University of Cambridge's Faculty of Modern and Medieval Languages and Linguistics and maintain collaborations with institutions including the University of Lisbon and Tuebingen University. Their educational background includes: Habilitation from University of Leipzig (2002) PhD in Linguistics from University of Leipzig (1994) Post-grade in Linguistics from University of Geneva (1993) Post-grade in Phonetics from University of Lausanne (1993) Master in Linguistics from University of Leipzig (1990) Master in Russian Language from University of Belgorod (1988) Dr. Alter's research focuses on auditory neuroscience, particularly speech and language processing using behavioral and neuro-imaging methods (EEG, MEG, fMRI) in both healthy volunteers and patients. Their work spans cognitive neuroscience, examining the comparison between language and music processing, neurocognition of prosody and intonation in children, turn taking in communication, tinnitus research, dyslexia and working memory, and laughter and brain interactions. They also investigate developmental aspects of speech & language processing, speech segmentation on phrase and discourse level, and processing of durational, tonal, and spectral properties related to voice. Dr. Alter's publications reveal a strong focus on tinnitus research, emotional processing in laughter, and speech processing in neurological conditions. Their work combines multiple neuroimaging techniques to understand auditory processing mechanisms, with recent publications showing increasing interest in tinnitus as a neurological condition and its relationship to brain responses, as well as the neural basis of emotional vocalizations like laughter. Notable scientific achievements include: Oxford Visiting Senior Research Fellowship (2015-2017) Honorary appointment as Research Associate in Neurology by the NHS Trust Associate Member of Laboratorio de Fonetica & Lisbon Baby Lab Research Associate at the Tuebingen University Hospital for Psychiatry Dr. Alter has co-supervised 22 PhD students and 8 PDRAs, and currently co-supervises 5 PhD students and 1 PDRA. They have secured international and national grants totaling £1.8 million over the past 12 years. As a reviewer, they have evaluated proposals for numerous national and international Research Foundations including Human Frontier Science Program, ERC, German Research Foundation, Netherlands Organisation of Scientific Research, Austrian Research Foundation, French Research Foundation, MRC, ASRC, ESRC, and Wellcome Trust. Dr. Alter co-convenes the cross-Faculty Research Group on Phonetics and Phonology at Newcastle University and maintains an active research program investigating the neural basis of speech and emotional vocalizations. Their work bridges cognitive neuroscience, linguistics, and clinical applications, particularly in understanding speech processing disorders and tinnitus.

Constantijn Kalandمشاهده پروفایل

مدرس

• Experimental phonetics
• Prosody
• Speech production and perception
• +۲ مورد دیگر

Dr. Constantijn Kaland is a Lecturer in Word Prosody & Laboratory Phonology at the University of Cologne since 2022, specializing in experimental phonetics and prosodic analysis. His research focuses on Speech production and perception , particularly in Papuan Malay , with interests in Language typology and Acoustic phonetics . He has previously held positions at Utrecht University, Free University of Bolzano, and University of Malta. Education: PhD (2014) in Prosodic marking of semantic contrasts, Tilburg University MA (2009) in Clinical and Experimental Linguistics, Leiden University BA (2007) in General Linguistics, Leiden University His research explores the acoustic correlates of prosody, including fundamental frequency (F0) analysis, stress perception, and the interaction of tone and intonation. Using computational tools like contour clustering, he investigates prototypical F0 patterns and their functional implications in speech processing. Publications span journals such as The Journal of the Acoustical Society of America and Journal of Phonetics , focusing on cross-linguistic prosody and speech technology. Dr. Kaland has taught courses on prosody at the University of Cologne, Utrecht University, and University of Malta. His work bridges theoretical and applied phonetics, with methodological contributions to analyzing prosodic patterns in field data.