جست‌وجوی استاد و پژوهشگر

Francesca Coccettaمشاهده پروفایل

دانشیار

• Corpus Linguistics
• Multimodal Discourse Analysis
• English Language Teaching
• +۵ مورد دیگر

Francesca Coccetta is an Associate Professor at Ca' Foscari University of Venice , affiliated with the Department of Comparative Linguistic and Cultural Studies and the Interdepartmental Center SELISI in Treviso. Her research focuses on Multimodal Discourse Analysis , Corpus Linguistics , and English Language Teaching with a specialization in Scientific and Medical Discourse . She teaches multimodal analysis and translation across various degree programs including Medicine, International Economics, and Communication Studies. Recent publications analyze video abstracts (2024-2022) as emerging academic genres, with methodological frameworks for multimodal corpus construction and phase-based structural analysis . Her work extends to medical communication and cultural discourse studies , including European Capital of Culture promotional materials and Twilight Saga narrative analysis. She employs data-driven learning and intersemiotic competence frameworks in educational contexts. Active in international research projects like the Living Knowledge EU initiative (2009-2011) and PRIN (2005-2007), she has presented at conferences including EUROCALL , Learner Corpus Research Conference , and International Symposium on Multimodal Environments . Her academic career includes visiting positions at University of Sydney (2018) and Universidad Autónoma de Madrid (2020) under Erasmus+ mobility programs.

Elena MATTEIمشاهده پروفایل

پژوهشگر ارشد

• Digital Humanities
• Multimodal Tourism Discourse
• Systemic Functional Linguistics
• +۷ مورد دیگر

Elena Mattei is a Postdoctoral Research Fellow at Ca' Foscari University of Venice, holding dual affiliations with the Venice School of Management and the Department of Comparative Linguistic and Cultural Studies. She is actively engaged in the National Research Project DIETALY (Destination Italy in English Translation and Language over the Years) in collaboration with the Italian National Tourist Board, investigating early English tourism translation practices in Italy and 20th century promotional materials. Her educational background includes a PhD and Doctor Europaeus in Digital Humanities for English Studies (SSD: L-LIN/12) from the University of Verona with excellent grades. Previously, she earned a Bachelor's and Master's degree in Foreign Languages for Communication in Tourism and Commerce (LM-38; 110L/110), with semesters abroad at University of Massachusetts Boston and Universitaet Passau, and an internship at the travel agency One Food Abroad in Dublin. Mattei's research focuses on multimodal tourism discourse, particularly the collection, annotation and analysis of tourism multimodal corpora on social media. Her work integrates data-driven semiotics into social semiotics and Systemic Functional Linguistics, with the social mission of fostering multimodal literacy and promoting the design of counternarratives for social change, especially regarding environmental protection and informed social media use. She investigates how the capitalist, romantic gaze of the postmodern traveler may be leveraged to cultivate environmental awareness and promote sustainable behavior, with plans to create a Grammar of multimodal eco-discourse to support regenerative travel. Her publications demonstrate a consistent trajectory in multimodal analysis of tourism communication, with increasing focus on sustainability, environmental protection, and the application of computational methods. Recent work shows a shift toward practical applications of her theoretical framework for regenerative tourism and sustainable communication practices, with numerous forthcoming publications in high-impact journals and edited volumes. Finalist for the Paul Fortier Prize as Emerging Researcher in Digital Humanities at Digital Humanities 2023 Shortlisted for the ADHO Paul Fortier Prize as an emergent scholar in Digital Humanities Editorial member of scientific journals TRANS-KATA and Iperstoria (Class A) Peer reviewer for Routledge, Bloomsbury Academic, and several high-impact journals Mattei actively supervises Master's theses at the University of Verona on topics related to tourism discourse and multimodal communication. She has served as an Adjunct Professor at both the University of Verona and Ca' Foscari University of Venice, teaching courses in Digital Humanities, Business English, and English for International Business and Global Affairs. Her research is supported by the DIETALY project funded by MIUR (PRIN 2020), where she serves as a Postdoctoral Researcher under Professor Mirella Agorni. She has developed the Statistically Reliable Image (SRI) Tagging software for visual and multimodal manual annotation in collaboration with ISTI-CNR, and has co-organized international conferences including a multidisciplinary doctoral conference at the University of Verona in 2021. Her work bridges academia and industry through collaborations with Randstad Research and media appearances with La Repubblica discussing sustainable tourism trends.

• Conversation Analysis
• Classroom Communication
• Language Didactics
• +۵ مورد دیگر

Dr. Ann-Christin Leßmann is a Lecturer for special tasks at the University of Bielefeld within the Faculty of Linguistics and Literary Studies. She serves as the Custodian/Course Manager and Recognition Officer for Basic Language Education since 2021, and has been working at the university in this capacity since April 1, 2017. Her institutional affiliations include the Department of Subject Didactics and Cultural Education, the Department of Linguistics, and BiSEd (Bielefeld School of Education). Her research focuses on conversation analysis, particularly ethnomethodological conversation analysis and videography. She specializes in classroom communication in primary schools and German lessons, examining how appropriateness and discursive requirements are established in classroom discussions. Her work connects text and conversation practices in institutional communication contexts, with specific attention to language didactics for German in primary education and student perspectives on classroom communication. She has also completed research on interaction and perception in online teaching from university lecturers' perspectives. Dr. Leßmann's publication record shows consistent scholarly output from 2017 through 2025, with recent work increasingly focusing on the intersection of digital environments and educational practices. Her research demonstrates a strong methodological commitment to detailed sequential analysis of classroom interactions, particularly regarding how teachers and students co-construct discursive appropriateness. She is a founding member of the Working Group on Conversation Analysis in Teacher Education (AK GeLb) and a member of the Symposium on German Didactics (SDD), indicating active participation in professional academic communities. Dr. Leßmann completed her doctorate at TU Dortmund in November 2017, with her dissertation published in 2020 as 'Classroom Interaction in Elementary Schools: Sequential Analyses of the Co-Construction of Appropriateness between Teachers and Learners.' Prior to her position at Bielefeld, she worked as a research assistant at Leuphana University Lüneburg (2014-2016) and was a doctoral scholarship holder at the Research School Education and Capabilities at TU Dortmund (2011-2013).

• Information Retrieval
• Recommender Systems
• Fairness and Ethics in AI
• +۴ مورد دیگر

Fernando Diaz is an Associate Professor at Carnegie Mellon University's Language Technologies Institute within the School of Computer Science . His research spans Information Retrieval , Recommender Systems , and the Societal Impacts of Artificial Intelligence , with a focus on fairness, ethics, and evaluation metrics. Education : PhD in Computer Science from University of Massachusetts Amherst Research Interests include: Information Retrieval (web search, crisis informatics, search latency) Recommender Systems (multi-interest personalization, cultural content recommendation) AI Fairness (exposure fairness, data minimization, bias mitigation) Evaluation Methodology (metric robustness, contextual meta-evaluation) Human-AI Collaboration (mouse behavior analysis, preference-based evaluation) Retrieval-Augmented Generation (fair ranking, model synthesis) His recent work analyzes scaling laws , tip-of-the-tongue retrieval , and multisided fairness in AI systems. Diaz also explores the cultural implications of AI in music recommendation and content curation. Teaching : Leads courses on Search Engines and LTI Colloquium Advisees : Shaily Jagat Bhatt, Athiya Deviyani, Alfredo Gomez, Jessica Huynh, To Eun Kim

Elena Papanastasiouمشاهده پروفایل

استاد

• Educational Research
• Quantitative Methods
• Assessment
• +۸ مورد دیگر

Professor Elena Papanastasiou is the Dean of the School of Education at the University of Nicosia, Cyprus, where she teaches Educational Research , Quantitative Methods , and Assessment . She holds a PhD in Measurement and Quantitative Methods from Michigan State University (2001) and an Honors B.Sc. in Elementary Education from Pennsylvania State University (1996). Her research focuses on educational assessment , structural equation modeling , multilevel modeling , and mixed methods research , with applications in international assessments like TIMSS and IEA . Recent publications analyze generative AI in education , test-taking metacognition , student well-being , and international schooling contexts in Cyprus, Europe, and the USA. She serves as Cyprus’ General Assembly representative in IEA and is a member of the IEA Standing Committee and Publications Committee , as well as the Professional Development Committee of the Association for Educational Assessment. Her consulting work on methodological frameworks supports research teams globally, emphasizing advanced statistical analysis and educational policy development.

Pierre-Valery Njenji Tchetgenمشاهده پروفایل

استادیار

• Africana Studies
• Literacy Studies
• Digital Humanities
• +۷ مورد دیگر

Dr. Pierre-Valery Njenji Tchetgen (also known as Akwerius or Kwe) is an Assistant Professor at Northeastern University's College of Arts Media & Design, Department of Music. His interdisciplinary scholarship bridges Africana studies, digital humanities, and literacy studies, focusing on cultural preservation through technological innovation. As inventor of the Drumball tangible user interface, he pioneers African-inspired educational technologies for early literacy acquisition. PhD in Education – University of California, Berkeley (2020) M.I.M.S in Information – University of California, Berkeley (2009) M.A. in Humanities – University of Chicago (2003) B.A. – Ohio Wesleyan University (2000) His research explores urban griot traditions through the Urban Griot Playground pedagogical ecosystem and the forthcoming book Urban Griots: Towards a Theory of Digital Orality . This work reimagines African drum language innovation for 21st-century diasporic education. He also leads the Music is Healing Collective , utilizing performative modalities to advance social justice and community unity through music. Academic output spans serious games, education+XR, and critical literacy frameworks. Publications include conference proceedings at ACM Creativity & Cognition (2017, 2019) and collaborative leadership studies (2020). Humanities Center World-Making/World-Building Fellowship (2023-24) Center for Design 'Bridges' Fellowship (2023-24) Postdoctoral Fellow at Northeastern University (2021-22) Predoctoral Fellow at MIT (2017-18)

• Natural Language Processing
• Computational Linguistics
• Distributional Semantics
• +۵ مورد دیگر

Ana-Sabina Uban is an Associate Professor at the Faculty of Mathematics and Computer Science, University of Bucharest . She earned her Ph.D. in Computer Science in 2020 under the supervision of Professor Liviu Dinu with a thesis on distributional and stylistic aspects of natural language. She teaches and coordinates courses in natural language processing, AI, and machine learning for both computer science and digital humanities students. Education: Ph.D. in Computer Science, University of Bucharest (2020) – Thesis: "Distributional aspects of natural language. Semantic and stylistic dimensions of text" Research Interests: Dr. Uban’s research is strongly interdisciplinary, bridging natural language processing , computational linguistics , psychology , and cognitive science . She explores historical computational linguistics , distributional semantics , and multilingualism , while also investigating explainability in AI models and mental health disorder detection using social media data. Research Trends & Publication Focus: Her recent publications span clinical NLP , mental health detection , historical linguistics , and multilingual cognate identification . A recurring theme is the application of advanced NLP techniques—such as transformer models, contrastive learning, and ensemble classification—to real-world problems in health, literature, and historical language study. Teaching & Student Supervision: Dr. Uban currently teaches and coordinates the following courses: Bio-medical NLP – Master’s level (English) Artificial Intelligence – Bachelor’s level for Mathematics students Practical Introduction to Machine Learning – Master’s level for Digital Humanities students Natural Language Processing 1 & 2 – Master’s labs and projects Contact: auban@fmi.unibuc.ro

Eduardo Ledesmaمشاهده پروفایل

دانشیار

• Latin American Literature
• Iberian Studies
• Catalan Literature
• +۱۰ مورد دیگر

Eduardo Ledesma , Associate Professor at the University of Illinois Urbana-Champaign's Department of Spanish & Portuguese, specializes in Latin American and Iberian literature and film with a focus on experimental forms and technology intersections. His research spans avant-garde movements, digital humanities, and disability studies. PhD in Romance Languages & Literatures (Harvard 2012) MA in Hispanic Literature (UIC 2006) MS in Structural Engineering (UPC 1999) BS in Civil Engineering (UIUC 1995) Ledesma's research explores experimental and documentary cinema across the Luso-Hispanic Atlantic, analyzing how filmmakers challenge aesthetic and political boundaries through analog/digital hybridity. His work on blind cinema investigates haptic filmmaking technologies for the visually impaired, funded by NEH grants. His publications reveal trends in intermediality (text/image relations), digital poetics (codework, electronic literature), and transatlantic connections between Spain and Latin America. Current projects examine AI-generated cinema and sensory film practices. Scientific Awards & Grants National Endowment for the Humanities Fellowship (2021-22) Conrad Humanities Scholar (2019-24) Fulbright Research Grant (Spain 2009-10) Campus Research Board Awards (multiple) Illinois Program for Research in Humanities Prizes Hispanex Program Award (Spanish Ministry of Culture 2019) Ledesma teaches courses on Latin American genre cinema, urban culture, and technology's role in cultural production. He collaborates with the Center for Latin American and Caribbean Studies, Lemann Institute for Brazilian Studies, and European Union Center.

Michail Giannakosمشاهده پروفایل

استاد

• Human-Computer Interaction
• Educational Technology
• Learning Analytics
• +۵ مورد دیگر

Michail (Michalis) Giannakos is a Professor at the Department of Computer Science, Norwegian University of Science and Technology (NTNU) and an Adjunct Professor at the Department of Information Systems, University of Agder (UiA) . He serves as Head of the Learner-Computer Interaction Lab at NTNU. His career spans multiple institutions, including roles as EAISI Visiting Professor (TU/e, Netherlands), Honorary Professor (UCL, UK), Associate Professor, Senior Lecturer, and Assistant Professor. Giannakos' research focuses on emerging technologies in online/hybrid education , with emphasis on student/instructor experiences, gamification , STEM learning , augmented reality , and multimodal learning analytics . His recent publications explore generative AI for educational feedback , embodied mathematics , and AR applications for autistic children . 2024–present: Adjunct Professor, UiA 2020–present: Professor/Head, NTNU 2023–2024: EAISI Visiting Professor, TU/e 2022–2023: Honorary Professor, UCL He has received prestigious awards, including the RCN Young Research Talents grant , ERCIM Fellowship , and Outstanding Academic Award (NTNU) . His funded projects include AutoTRUST (Horizon Europe), COMnPLAY-Science (Horizon 2020), and Surrounded by Science (Horizon 2020). Giannakos serves as Editor-in-Chief for the International Journal of Child-Computer Interaction and sits on editorial boards of IEEE Transactions on Learning Technologies , Behaviour & Information Technology , and others. He has reviewed for the European Commission and US-NSF .

Petra Magnussonمشاهده پروفایل

دانشیار

• Digital Education
• Multimodal Learning
• Curriculum Development
• +۵ مورد دیگر

Petra Magnusson is an Associate Professor at the Faculty of Education , Kristianstad University , specializing in the teaching and learning of Swedish . She is a Merited Teacher and leads projects like SKRUViS and EQUITÉ , focusing on digital technology's impact on education. Research Focus : Digital education, multimodal learning, curriculum development, and fiction's role in schools. Collaboration : Active in networks such as TIMDA (Texts, Information and Multimodality in the Digital Age) and supervises doctoral students Kristian Blomberg Kjellström and Emma Björemark . Awards : Recognized as a Merited Teacher . Teaching : Trains teachers in Swedish language instruction and has extensive experience in secondary and upper secondary schools.

Zeynep Ünsalمشاهده پروفایل

مدرس ارشد

• Science Education
• Multilingual Students
• Scientific Inquiry
• +۴ مورد دیگر

Zeynep Ünsal is a Senior Lecturer at Stockholm University's Department of Teaching and Learning. With a primary school teaching background in biology, physics, chemistry, mathematics, Swedish, and Swedish as a second language, her research examines multilingual students' science learning through resources like mother tongue, gestures, and physical artefacts. She coordinates undergraduate and graduate courses in Science and Technology for Primary School Teachers. Education: Doctoral thesis on bilingual science education (2017) Research Focus: Multilingual science instruction, translanguaging practices, and multimodal learning strategies Key Findings: Demonstrated effectiveness of physical artefacts in bridging language gaps, highlighted assessment challenges for bilingual students Awards: Research Worth Reading Award 2018 Her work spans electricity and chemistry education (2015-2023), with studies on gesture analysis, translational practices, and international science inquiry baselines. Current teaching includes doctoral supervision and school placement coordination for primary educators.

Olaf Wiestمشاهده پروفایل

استاد

• Catalysis
• Computational Chemistry
• Drug Design
• +۷ مورد دیگر

Olaf Wiest serves as the Grace-Rupley Professor of Chemistry & Biochemistry at the University of Notre Dame's College of Science, holding office in McCourtney Hall. With continuous academic service since 1996—from Assistant Professor (1996-2001) to Associate Professor (2001-2005), Professor (2005-2024), and current endowed chair position—he maintains active research and teaching responsibilities. His educational background includes a Dr. rer. nat. (1993) and Diplom (1991) from the University of Bonn, Germany, followed by postdoctoral work at UCLA (1993-1995). Key research interests span catalysis, computational chemistry, drug design for rare diseases (particularly Niemann-Pick Type C), epigenetic modulators targeting histone deacetylases, and machine learning applications in chemical reaction prediction. His interdisciplinary work bridges organic chemistry, biophysics, and artificial intelligence, frequently involving collaborations across synthetic chemistry, biology, physics, and medical research. Wiest's publication trends reveal a strong focus on computational-experimental integration, with recent work emphasizing AI-driven chemistry (2023-2025), including transfer learning for reaction prediction, large language models for molecular analysis, and machine learning potentials for catalytic reactions. His group maintains dual expertise in traditional organic synthesis (catalysis, enzyme mechanisms) and cutting-edge computational methods (Q2MM, virtual screening). Research Achievement Award, University of Notre Dame (2025) Fellow, American Association for the Advancement of Science (2012) John Kaneb Award for undergraduate teaching (2004) Camille Dreyfus Teacher-Scholar Award (2001) NSF CAREER Award (1997) NIH First Award (1997) His research group actively mentors graduate students in organic and biophysical chemistry projects, with significant grant support evidenced by NIH/NSF awards and industry collaborations. Current work includes developing computational tools for stereoselective catalysis (CatVS, Q2MM) and therapeutic strategies for rare diseases. The Wiest Lab operates at the intersection of experimental synthesis and computational modeling, utilizing advanced techniques like time-resolved crystallography and machine learning for reaction prediction.

Jessica Scottمشاهده پروفایل

دانشیار

• Deaf Education
• Language and Literacy Education
• Bilingualism in Deaf Education
• +۳ مورد دیگر

Jessica Scott is an Associate Professor in Deaf Education at the Georgia State University Department of Learning Sciences. She holds a B.A. in Deaf Education from Flagler College, an Ed.M. in Language and Literacy (with Reading Specialist licensure) from Harvard Graduate School of Education, and an Ed.D. in Human Development and Education from Harvard. Her research focuses on bilingualism in deaf education, academic English development, and the role of American Sign Language (ASL) in deaf students' literacy. She chairs the Deaf/Hard of Hearing Special Interest Group of the International Literacy Association. Education highlights include her work at the Alaska School for the Deaf and The Learning Center for the Deaf. Her award-winning dissertation explored ASL and academic English's impact on deaf students' reading comprehension. Current interests include deaf education in developing countries and translanguaging practices in STEM education. She has published extensively on deaf learners' literacy, bilingualism, and inclusive pedagogy. Scientific Awards: Recipient of Harvard University’s Jeanne S. Chall student research award (2016). Publications span topics like deaf education program efficacy, multicultural literacy strategies, and STEAM accessibility for deaf learners. Advising/Grants: While specific grants aren’t detailed, her work implies leadership in curriculum development and cross-cultural educational initiatives. She collaborates internationally, including research in Mexico and Jamaica. Labs/Teams: Affiliated with Georgia State’s research centers focusing on language development and inclusive education. Her work aligns with the Center for Research on Atypical Development and Learning (CRADL).

• Educational Technology
• Artificial Intelligence in Education
• Collaborative Learning
• +۳ مورد دیگر

Seng Chee Tan is a prominent academic in the field of educational technology and learning sciences. He has been actively involved in researching the integration of artificial intelligence (AI) in education, collaborative learning practices, and knowledge-building pedagogies. His work spans over two decades, with a focus on understanding how technology can enhance teaching and learning processes through innovative methodologies and tools. Research Interests: AI in education, educational data mining, collaborative learning, knowledge-building frameworks, and technology-enhanced learning environments. Key Contributions: Pioneered studies on generative AI applications in education, teacher AI readiness, and mobile peer tutoring systems. Authored over 40 publications in journals like Computers & Education, IEEE Transactions on Learning Technologies, and the Journal of Learning Analytics. Recent work emphasizes leveraging AI to support sustainable student discourse and analyzing human-AI interactions in language learning. Tan has also contributed to editorial roles, including guest editorials on ChatGPT and generative AI impacts on education. His collaborations span institutions globally, focusing on scalable knowledge-building practices and teacher professional development. Notable projects include developing frameworks for evaluating MOOC completion factors, investigating technostress in digital learning, and creating culturally grounded peer tutoring applications. His research bridges theory and practice, offering actionable insights for educators and policymakers aiming to integrate emerging technologies into educational systems.

Mircea Nicolescuمشاهده پروفایل

استاد

• Computer Vision
• Surveillance Systems
• Robotic Vision
• +۳ مورد دیگر

Mircea Nicolescu is a Professor in the Department of Computer Science and Engineering at the University of Nevada, Reno. He holds a Ph.D. (2003) and M.S. (1999) from the University of Southern California, and a B.S. (1995) from Polytechnic University Bucharest. He co-directs the Computer Vision Laboratory . His research focuses on computer vision , particularly in video content understanding , surveillance systems , robotic vision , and human-computer interaction . Key areas include robust tracking in dynamic scenes, autonomous navigation, and gesture/face recognition. Recent work addresses maritime safety, cryptocurrency forecasting, and robotic task parameter estimation via multimodal data fusion. He has published over 100 peer-reviewed articles and holds a U.S. patent for 'Fast Digital Pan-Tilt-Zoom Video'. His work has earned a Best Paper Award Finalist distinction (2021). Teaching responsibilities include Programming Languages and Advanced Computer Vision courses. Collaborative projects involve multi-agent systems, intent recognition, and spiking neural networks for pattern analysis.