جست‌وجوی استاد و پژوهشگر

H. M. Zaferمشاهده پروفایل

دانشیار

• Arabian and African Languages
• Historical Linguistics
• Medieval Studies
• +۷ مورد دیگر

H. M. Zafer is an Associate Professor at the University of Washington , specializing in Arabian and African Languages through pre-modern networks of knowledge spanning 6th-16th century Horn of Africa and Western Arabian societies. He also serves as a Senior Lecturer in the Program in African Studies. Education: PhD from Cornell University (2014) Zafer's research focuses on historical linguistics, medieval studies, and Islamic studies, particularly analyzing the Ecumenical Community in the context of Red Sea wars and Early Muslim communitarianism. His current projects include The Comrades of the Ship (Early Muslim historiography) and The Ethiopic Quran (16th-century Ge'ez commentary on the Quran). His scholarly contributions bridge interdisciplinary themes in comparative literature, religious studies, and computational methodologies through his earlier work in machine learning applications for bioinformatics and natural language processing. Scientific Awards: Mellon-Sawyer Fellow, University of Notre Dame Katz Fellow, University of Pennsylvania His publications from 1997-2009 explore hierarchical classification, Bayesian aggregation techniques, and neural networks applied to genomic prediction, linguistic analysis, and automated puzzle generation, demonstrating technical expertise in algorithm development and data modeling.

Aneet Narendranathمشاهده پروفایل

استاد آموزشی

• Computational Linguistics
• STEM Education
• Fluid Dynamics
• +۵ مورد دیگر

Aneet Narendranath serves as a Teaching Professor in the Department of Mechanical and Aerospace Engineering within the College of Engineering at Michigan Technological University. With a PhD in Mechanical Engineering-Engineering Mechanics from the same institution, he has established himself as an innovative educator and researcher bridging traditional engineering with computational linguistics and educational technology. His educational background includes a PhD (2013) and MS (2009) in Mechanical Engineering-Engineering Mechanics from Michigan Technological University, and a BE in Mechanical Engineering from Visvesvaraya Technological University. Dr. Narendranath's research spans two primary domains: computational engineering physics and quantitative educational analysis. His engineering work focuses on computational methods in quantum mechanics, molecular dynamics, combustion chemical kinetics, and microgravity fluid physics, particularly studying evaporating liquid films. More recently, he has expanded into computational linguistics, developing open-source models for metadiscourse analysis, large language model frameworks for professional communication assessment, and lexical network methods for topic modeling. His scholarly output reveals a significant shift toward interdisciplinary work combining engineering with educational technology and computational linguistics. The publication trend shows increasing focus on STEM education research, machine learning applications in educational assessment, and discourse analysis, while maintaining connections to his foundational work in fluid dynamics and microgravity physics. Wolfram innovator nomination (2017) R. L. Smith teacher of the year Runner-up (2017-18, 2018-19, 2019-2020) Dean's teaching showcase (2020) Quadruple nomination as finalist for R. L. Smith Teacher of the year Dr. Narendranath has secured significant external funding including NSF #2203025 (2022-2026) for research on interfacial stability in film evaporation in microgravity, and an ASEE Mini-grant #2021-01920-017 for genre analysis of student reflective essays. His teaching philosophy emphasizes metacognitive strategies, active learning, and blended learning environments across courses including Statics, Thermodynamics, Heat Transfer, and Finite Element Methods, receiving consistently positive reviews reflected in his multiple teaching awards. He maintains active GitHub repositories including ComputationalMechanicsPlayGround and CompLing, demonstrating his commitment to developing open educational resources and computational tools for both engineering mechanics and computational linguistics applications.

• Piano
• Accompaniment
• Piano Duet
• +۲ مورد دیگر

Šviesė Čepliauskaitė serves as an Associate Professor at the Music Academy of Vytautas Magnus University in Kaunas, Lithuania. She has been employed in the Piano Department since September 2, 2019, and is an active faculty member within the Dimension of Music Education cluster. Dr. Čepliauskaitė is multilingual with native fluency in Lithuanian and advanced proficiency in English, Russian, and Polish. She also possesses basic knowledge of German, French, and Italian, which enhances her ability to work with international musical repertoires and scholarly materials. Her primary research interests include piano performance techniques, accompaniment methods, piano duet interpretation, and musical text analysis. She has supervised numerous master's theses exploring diverse aspects of music education, performance practice, and cultural studies. The supervised research demonstrates a consistent focus on pedagogical challenges across different musical domains, historical performance practices, and the intersection of music with cultural identity. Her students have examined topics ranging from contemporary piano teaching methods to historical interpretation of classical works and cross-cultural musical exchanges. As an academic advisor, Dr. Čepliauskaitė has guided students through methodological approaches including comparative literature analysis, interview techniques, content analysis, and reflective practice. Her supervision spans both theoretical and practical aspects of music performance and education. Her work bridges traditional music pedagogy with contemporary educational challenges, addressing issues such as digital integration in music teaching, adapting to generational learning differences, and maintaining artistic expression during extraordinary circumstances like the pandemic.

• Hispanic Caribbean Literatures and Cultures
• Latin American Contemporary Literatures
• Caribbean Studies
• +۵ مورد دیگر

Ramón Antonio Victoriano-Martinez (Arturo) is Assistant Professor of Spanish at the Department of French, Hispanic and Italian Studies within the University of British Columbia's Faculty of Arts. He completed his PhD in Hispanic and Latin American Literatures (2010) and MA (2006) at the University of Toronto, and holds a law degree from Universidad Católica Santo Domingo (1994). Previously taught at University of Toronto Mississauga (2011-2019) and Caribbean/Latin American Studies programs at University of Toronto. PhD, University of Toronto (2010) MA, University of Toronto (2006) Licenciatura en Derecho, Universidad Católica Santo Domingo (1994) His research focuses on literatures and cultures of the Hispanic Caribbean with emphasis on race, gender, diaspora, national belonging, and Dominican-Haitian relations. Current projects include analyzing the post-Trujillo intellectual history (Revista ¡Ahora! 1962-1982) and Dominican cultural production under Balaguer's regime (1966-78). Publications address racial discourse, border theory, and testimonial narratives. Recent publications examine: 2023 analysis of post-Trujillo Dominican novels; 2021 comparative study of Edwidge Danticat's transnational Hispaniola narratives; 2020 analysis of dystopian Haitian representations; 2018 critique of Trujillist rhetoric; and 2012 foundational work on Freddy Prestol Castillo's testimonial novel about the 1937 Haitian massacre. 2017-18 Kathleen O’Connell Teaching Award 2018-19 Superior Sessional Instructor Teaching Award Currently supervises graduate research at UBC in areas of Dominican studies, Caribbean diaspora, and postcolonial literature. Leads interdisciplinary research clusters on Latin American cultural transitions and Caribbean film analysis.

Florian Huberمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Visual Analytics
• +۴ مورد دیگر

Prof. Dr. Florian Huber serves as Professor of Data Science and Visual Analytics at the Department of Media, Faculty of Media, Hochschule Düsseldorf University of Applied Sciences (HSD), a position held since September 2021. He is additionally affiliated with the Center for Digitalization and Digitality (ZDD), where he bridges data science methodologies with real-world applications in scientific and cultural domains through machine learning and visualization techniques. His academic foundation includes: Diploma in Physics, University of Leipzig PhD in Biological Physics, University of Leipzig (2012), thesis: "Emergent structure formation of the actin cytoskeleton" Prior to HSD, he worked as a postdoctoral researcher at AMOLF (Amsterdam) and TU Delft, founded the sustainable sweets company KÄNDI, and served as Data Scientist at the Netherlands eScience Center (2018-2021). Huber's research focuses on developing data science algorithms for comparative analysis of complex datasets, combining machine learning with domain expertise to enable meaningful comparisons through latent space transformations. Key areas include mass spectrometry-based metabolomics (chemical identification/similarity prediction), natural language processing (e.g., lyrical evolution analysis), and audio data science, with emphasis on interpretable and reproducible computational approaches for biology, medicine, and cultural studies. Analysis of his 2023-2025 publications reveals dominant themes in mass spectrometry data science (tools like matchms, MS2Query, Mass2SMILES) and NLP applications in musicology. His work increasingly integrates deep learning for cross-domain similarity prediction while creating educational resources, reflecting a trend toward versatile open-source solutions for interdisciplinary data challenges. Huber actively contributes to open science through GitHub repositories and reproducible pipelines, suggesting collaborative funding models centered on software sustainability. His teaching includes the "Data Science" module (MMI 05.35) with practical components for engineering programs, offered in German or English. He leads initiatives within HSD's Center for Digitalization and Digitality, fostering collaborations between data scientists and domain experts. Current projects involve interdisciplinary teams tackling metabolomics, cultural analytics, and educational tool development using Python-based open-source ecosystems, with future work likely expanding into new application domains while advancing methodological rigor.

• Control Systems
• Wireless Communications
• Network Optimization
• +۳ مورد دیگر

Dr. Michael Reyer is a Professor and holds the Chair of Intelligent Control Systems at the Faculty of Electrical Engineering and Information Technology, RWTH Aachen University. He serves as Deputy Chair and is based at the ICT Cube 1 in the Electrical Engineering building (room 302) at Kopernikusstr. 16, Aachen. His primary research areas include: Control Systems and Intelligent Automation Wireless Communications (LTE, OFDM, MIMO) Network Optimization and Resource Allocation Machine Learning for Communication Networks Natural Language Processing for Social Media His publication record from 2011 to 2021 demonstrates a dual focus: advancing wireless network technologies (including cognitive radio, LTE planning, and MIMO channel modeling) and developing NLP techniques for social media analysis. This interdisciplinary work bridges electrical engineering and computer science, with applications in 4G/5G networks and user-generated content processing. As head of the Chair of Intelligent Control Systems, he leads research efforts in intelligent control and communication systems at RWTH Aachen University.

Kenzie Burchellمشاهده پروفایل

دانشیار

• Digital Humanities
• Journalism Studies
• Global/Transnational Studies
• +۳ مورد دیگر

Kenzie Burchell is an Associate Professor at the University of Toronto's Department of Arts, Culture and Media (UTSC campus) and Faculty of Information (St. George). He is also an associate graduate faculty member at the Munk School of Global Affairs and Public Policy. His research focuses on digital humanities, global media studies, and the sociopolitical impacts of surveillance and platform technologies on everyday life and political processes. Education: Holds degrees from McGill University, London School of Economics and Political Science, and Goldsmiths, University of London (PhD in Media and Communications). Previously served as Lecturer and Visiting Tutor at Goldsmiths. His work bridges media sociology with political economy, examining issues like communication overload, journalistic practices in crises, and transnational media narratives. Research Trends: His recent publications explore disinformation dynamics, media forensics, digital disconnection, and the interplay between media genres and security discourses. He collaborates with the University of Manchester on Eastern European media studies through a joint research cluster. Awards: No specific scientific awards listed. His work is supported through institutional affiliations and cross-institutional partnerships. Teaching & Advising: Teaches INF2124H (Surveillance and Identity) and supervises Ruty Korotaev (current advisee). His teaching integrates media literacy and critical analysis of digital technologies. Labs/Teams: Leads collaborative projects with Manchester's faculty in Russian and East European Studies. Active in Toronto's interdisciplinary research networks focusing on media and global affairs.

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +۳ مورد دیگر

Rob van der Goot is an Associate Professor in Data Science at the IT University of Copenhagen. His affiliations include the NLPnorth group and the Pattern Recognition Revisited lab . His research focuses on Natural Language Processing (NLP), with emphasis on language modeling, lexical normalization, and computational job market analysis. Key contributions include the development of the EEVEE annotation tool, studies on language model biases, and cross-lingual parsing techniques. He has received prestigious awards such as the Best Paper Award at W-NUT 2022 and the Outstanding Paper Award at EACL 2021 . His work spans projects like the Pioneer Centre for Artificial Intelligence (funded by the Danish National Research Foundation) and Multi-Task Sequence Labeling Under Adverse Conditions (funded by Amazon). His research also intersects with societal impacts, addressing bias in AI systems and improving NLP tools for under-resourced languages. Media engagements include discussions on AI adoption in Danish municipalities and business applications. His publications (48+) span topics from domain adaptation to large language model evaluation, emphasizing practical NLP solutions and reproducible research practices.

LeeAnne Sandip Wilsonمشاهده پروفایل

استاد

• Children's Nonfiction Literature
• Literacy Education
• Critical Thinking in Education
• +۳ مورد دیگر

LeeAnne Sandip Wilson is a Professor at Husson University's School of Education, holding degrees from Pomona College (BA), Cambridge College (MEd), and the University of Maine (EdD). Her work bridges literacy education and historical thinking, focusing on children's nonfiction literature, disciplinary writing, and family-school collaboration. Education: BA (Pomona College), MEd (Cambridge College), EdD (University of Maine) Leadership: Co-Director of Maine Writing Project, Co-Treasurer of USBBY, former Chair of Orbis Pictus and Notable Books committees Wilson's research emphasizes nonfiction literature's role in developing critical literacy, particularly in science and history education. Her pedagogical work explores connections between tapestry weaving and writing structures, and she advocates for integrated theory-practice instruction in teacher training. Key publication themes: educational content analysis of nonfiction literature (2001-2013), pedagogical frameworks for critical literacy, and award committee contributions shaping nonfiction curriculum standards. Scientific Contributions: Fulbright Scholarship (India, 2012-13) Co-editor of The Dragon Lode journal USBBY committee leadership

Julie Mederoمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Community-Engaged Research
• +۳ مورد دیگر

Julie Medero is an Associate Professor and Associate Chair of the Computer Science Department at Harvey Mudd College. Her research focuses on applying computing technologies to community-engaged environmental projects, natural language processing (NLP), and educational tools. She holds a PhD in Electrical Engineering from the University of Washington (2014), an MS from the same institution (2010), and a BA in Computer Science and Linguistics from Swarthmore College (2003). Her work includes developing low-cost air quality sensors for community research and exploring machine learning techniques for text simplification, kinetic typography, and hyperpartisan news detection. She has taught multiple courses including 'STEM and Social Impact: Climate Change' and 'Data Structures & Program Development,' collaborating with colleagues across disciplines. Medero's publications span NLP, computational linguistics, and interdisciplinary projects. She actively mentors students through independent studies and has contributed to open-source annotation tools like the ACE Annotation System at the Linguistic Data Consortium. Her advising and grants include undergraduate research support for environmental computing projects. She emphasizes community partnerships in her work, such as the Active Transportation project encouraging sustainable commuting among schoolchildren.

Elisabeth Lexمشاهده پروفایل

دانشیار

• Recommender Systems
• User Modeling
• Information Retrieval
• +۳ مورد دیگر

Assoc. Prof. Dr. Elisabeth Lex is a tenured Associate Professor at Graz University of Technology (TUG) and PI of the Recommender Systems and Social Computing Lab. She serves as Dean of Study for the master's program in Computational Social Systems. With a habilitation in Applied Computer Science, her research focuses on psychology-informed recommender systems, user modeling, and computational social science. She has published over 100 articles in venues like WebConf, HT, and RecSys, and led major projects like the trans-university 'Polarization in Public Opinion.' Education : PhD in Computer Science (2011), TU Graz Postdoc at Universidad Nacional de San Luis (Argentina) and RWTH Aachen (Germany) Research Interests : Her work integrates cognitive science principles into AI systems, addressing fairness, privacy, and transparency in recommendations. She explores how human behavior and social dynamics influence algorithmic systems, with applications in music recommendation, misinformation detection, and polarization analysis. Article Trends : Recent work emphasizes trustworthy AI, including privacy-aware recommendation systems (e.g., differential privacy), bias mitigation in music recommendations, and computational framing analysis for political narratives. She bridges technical innovation with societal impacts, such as analyzing polarization in public health policies via social media. Scientific Awards & Grants : Outstanding Paper Award (ISSI 2015) EU H2020 grants (TRIPLE, AI4EU, OpenUP) Transuniversity Research Project on Polarization (€325k funding) Advising & Labs : Supervised over 20 PhD/Master students on topics like conspiracy narratives, privacy in recommendations, and job recommendation systems. Her lab develops open-source frameworks (e.g., TagRec, AFEL-REC) and collaborates with industry partners through the Know-Center. Labs/Teams : Leads the Recommender Systems and Social Computing Lab at TUG, part of the interdisciplinary Social Computing area at the Know-Center. Collaborates with global initiatives like OpenAire and Open Knowledge Maps.

Karen Attarمشاهده پروفایل

پژوهشگر ارشد

• Library History
• Bibliography
• Rare Books
• +۳ مورد دیگر

Dr. Karen Attar is a Research Fellow at the Institute of English Studies, University of London, holding a Ph.D. from the University of Cambridge and an MA in Library and Information Science from University College London. Her research focuses on library history, bibliography, and the evolution of 19th-century institutional collections. She has held a fellowship from May 2017 to April 2020, during which she edited the wartime diary of the University of London Library and conducted extensive studies on Augustus De Morgan’s library. Her work bridges historical bibliography with modern cataloging practices, emphasizing institutional resilience and cultural preservation. Education: B.A. (Hons) from Sydney, Ph.D. (Cantab.), and MA LIS with distinction from UCL. Her expertise spans rare books, special collections management, and the social history of reading. She has curated national directories of rare book collections and pioneered initiatives like the London Rare Books School. Recent projects include analyzing Shakespeare folio provenance and exploring autism inclusion in librarianship. Publications span academic journals such as Library & Information History and The Book Collector , with edited volumes on Augustus De Morgan and historical library practices. She actively engages in conferences and public lectures, addressing topics from wartime library operations to Victorian readership patterns. Awards: No scientific awards explicitly stated, but recognized for editorial contributions and academic innovation. Her work highlights interdisciplinary approaches to library science, blending historical analysis with contemporary professional challenges.

• Medieval Drama
• Medieval Catalan Literature
• Dance of Death
• +۵ مورد دیگر

Dr. Anika Lenke Kovács is a Senior Lecturer with a PhD in the Department of Catalan Philology and General Linguistics at the University of the Balearic Islands, where she also served as Vice-Dean and Head of Studies of the Degree in Catalan Language and Literature (2020/2021). Her academic career spans multiple prestigious institutions including Universitat Rovira i Virgili (2001-2017), Universität Bremen, Germany (2012-2017), and Universitat Autònoma de Barcelona (2008-2013). Her educational background includes: Bachelor in Catalan Philology (1998) Post-graduate in German Studies (2004, with special award) Master in Foreign Language Teaching (2010) PhD in Catalan Philology (2013, with special doctoral award) Dr. Kovács specializes in Medieval Catalan Drama, with particular expertise in the Majorcan Llabrés Manuscript (Ms. 1139) housed in the Catalan National Library. Her research examines typological interpretation, special effects, female characters, and spiritual dimensions of medieval Catalan plays. She has made significant contributions to understanding the Dance of Death tradition, Memento Mori themes, and religious processions in medieval Iberia. Her interdisciplinary approach combines literary analysis with performance studies, religious history, and cultural anthropology to provide comprehensive insights into medieval theatrical practices. Her recent publications demonstrate sustained scholarly productivity, with a consistent focus on the Majorcan play texts. She analyzes how medieval playwrights depicted angels, represented mortality concepts, and conveyed spiritual dimensions through theatrical performance. Her work often bridges textual analysis with practical considerations of medieval staging, examining how these plays would have been experienced by contemporary audiences through processions, music, and visual elements. Her scientific recognition includes: Special award for Post-graduate in German Studies (2004) Special doctoral award for PhD in Catalan Philology (2013) Dr. Kovács has supervised numerous graduate students and has participated in multiple research projects including 'Theatres of Persuasion in the Long Sixteenth Century' (2017-2020), 'Estudis interdisciplinaris sobre la dansa a l'edat mitjana i moderna' (2014-2015), 'Choreutic Heterotopias' (2018-2020), and 'Monastic Landscapes' (2019-2022). She currently serves as president of the Société Internationale pour l'étude du Théâtre Médiéval (2019-2022) and is part of the Benedictine Oblates of Montserrat since December 2022. She is an active member of the research team FILOHUMSIDOR (Filología y Humanismo en el Siglo de Oro) at the Institut d'Estudis Hispànics en la Modernitat and the Centre de Recerca en Arts Escèniques (UAB). Her work with the research groups 'Literatura, Art i Representació a la llarga edat mitjana' and 'Iconodansa' continues to advance understanding of medieval theatrical traditions and their cultural significance.

• Artificial Intelligence
• Digital Curation
• Information Forensics
• +۷ مورد دیگر

Dr. Yunhyong Kim is a Lecturer in Information Studies at the University of Glasgow's School of Humanities. She holds a Ph.D. in Mathematics from the University of Cambridge and an MSc in Speech and Language Processing from the University of Edinburgh. Her research focuses on AI-driven digital curation, information forensics, and privacy-aware data management, aiming to bridge computational methods with archival practices to enhance digital preservation strategies. Education: Ph.D. in Mathematics, University of Cambridge MSc in Speech and Language Processing, University of Edinburgh Research Interests: Machine learning for digital preservation Fusion of AI and archival practices Privacy in personal data exploration Generative AI ethics in cultural heritage Forensic analysis of digital archives Grants & Projects: 2018–2021: AHRC-funded project on Stephen Dwoskin’s digital legacy 2021: L&T Development Fund for opinion mining in teaching evaluations 2011–2013: EU-funded BlogForever project on weblog preservation Labs/Teams: Co-lead on the PHAWM project (Participatory Harm Auditing) Collaborator with University of Reading, BFI, and LUX on digital cinema preservation Member of interdisciplinary teams in veterinary epidemiology and data ethics

• Discourse Analysis
• Text Linguistics
• Discourse-Pragmatics Interface
• +۸ مورد دیگر

Elena Martínez Caro is a tenured Associate Professor at the Department of English Studies: Linguistics and Literature, Complutense University of Madrid. With a PhD in English Linguistics from UCM (1995) and an MA from the University of Reading (1989), she has held leadership roles including department head (2014-17) and academic secretary (2003-07, 2012-14). She serves on the Faculty Council of the Faculty of Philology (2018-25). Education : MA in Linguistics (University of Reading, 1989), PhD in Philology (UCM, 1995) Her research focuses on the interface between grammar, discourse, and pragmatics, with emphasis on information structure (topic/focus), discourse markers, evaluative language, and corpus-based contrastive linguistics. She has published extensively on topics like discourse segmentation, digression signaling, and light verb constructions. Recent articles highlight her work on cross-linguistic discourse boundaries, interjections in emotional expression, and applications of corpus linguistics to language teaching. Her research projects include EMO-FUNDETT (language and emotion) and MULTINOT (multidimensional text annotation), with ongoing supervision of four PhD students exploring emotion in victim discourse, Spanish lexical variation, oceanographic scientific writing, and bilingual education analysis. Scientific Awards : 4 six-year periods of certified quality research (sexenios, last in 2023) She collaborates internationally, with postdoctoral stays at Vrije University Amsterdam (2004-05), Université Catholique de Louvain (2019), and University of California, Santa Barbara (2019). As a member of research groups FUNCAP and CORALINGO, she advances applications of functional linguistics and corpus technology.