جست‌وجوی استاد و پژوهشگر

• Race and Ethnicity Studies
• Education Equity
• Community Development
• +۵ مورد دیگر

Clem Marshall is a Professor at The European Graduate School (EGS), specializing in race, language, education equity, and PanAfrikan studies. He holds a PhD from EGS (2011), an MA from the University of Toronto (2004), and a BA (Hons.) from the University of Toronto (1967) with additional studies at the Université de Paris. His work bridges academia and activism through roles like President of MangaCom Inc., which promotes equity in education and the arts. Education: PhD, The European Graduate School (2011) MA, University of Toronto (Adult Education & Community Development, 2004) BA (Hons.), University of Toronto (Modern Languages, 1967) Research focuses on diversifying curricula, community-based education, and African art. Notable projects include the African Nova Scotian Expansion Project (York University) and the Evaluation of Black Learners Advisory Committee (BLAC) Report . His book Talking Cheddo (2009) explores PanAfrikan cultural rebirth through philosophy, poetry, and ancestral traditions. Publications span art criticism, social justice, and historical analysis. Awards include Teacher of the Year (1996). He has taught at Ryerson University, the Ontario Science Center, and pioneered art education programs like Learning to Love Africa Through Her Art at the Art Gallery of Ontario.

Sigrid Johanna Håheim Ørevikمشاهده پروفایل

دانشیار

• Multimodal Text Analysis
• English as a Second Language (EAL) Education
• Genre Theory in Pedagogy
• +۳ مورد دیگر

Sigrid Johanna Håheim Ørevik is an Associate Professor at the Department of Foreign Languages , University of Bergen. Her work focuses on multimodal text analysis in English education, genre theory, and assessment frameworks. Position: Associate Professor Email: sigrid.orevik@uib.no Research Groups: POTENT – Post-Truth English Teaching Research interests include: Multimodal pedagogies Genre patterns in EAL materials Assessment of student multimodal texts Digital learning resources Vocational English teaching Recent publications (2021–2025) explore: Multimodal design principles Agency in semiotic work Curriculum coherence challenges Remediation of digital resources Long-term genre stability in exams She contributes to the POTENT research group and collaborates internationally on multimodal English learning projects.

Marcus Hasselhornمشاهده پروفایل

استاد

• Educational Psychology
• Developmental Psychology
• Learning Disorders
• +۵ مورد دیگر

Prof. Dr. Marcus Hasselhorn is Acting Director at DIPF | Leibniz Institute for Educational Research and Information and serves as a professor in the Department of Educational Psychology at Goethe University Frankfurt's Department 05 Psychology & Sports Science . His career spans over 25 years of leadership roles in educational research, including geschäftsführender Direktor (2012-2019) at DIPF and speaker of the Hessian LOEWE Center IDeA (2008-2019). Professor of Psychology (2007-present) at DIPF Former Director roles (2012-2019) and ongoing Scientific Board membership Leadership in Leibniz Research Network Bildungspotenziale (2013-2025) Research focuses on the ontogenesis of learning prerequisites , learning disorders , and educational diagnostics , particularly examining individual development and adaptive education for at-risk children. His recent work includes computerized learning assessment systems ( LONDI , iLearn ), language acquisition interventions ( BiSS-Transfer ), and inclusive education frameworks ( INCLASS ). Scientific engagement includes: President of German Psychological Society (2006-2008) Editorial leadership in Zeitschrift für Erziehungswissenschaft (2017-2024) Scientific Board member at IDeA Center (2008-present) Advisory roles in Mercator Institute (2013-present) and Kassel University Council (2010-present) Active in developing diagnostic tools like the Frostig Developmental Test of Visual Perception-3 and leading the BRISE initiative for early childhood education. Current projects address neurobehavioral development ( ReAL ), mental health in schools ( Mentale Gesundheit ), and language acquisition ( TRIO ).

Kyle E. Chambersمشاهده پروفایل

استاد

• Cognitive Development
• Language Learning
• Research Ethics
• +۵ مورد دیگر

Kyle E. Chambers is a Professor in the Department of Psychological Science at Gustavus Adolphus College, where he also serves as Associate Provost for Institutional Research & Analytics and Chair of the Institutional Review Board (IRB) since 2020. He previously chaired the Department of Psychological Science from 2017 to 2020 and currently holds the role of Interim Chair in both the Physics and Sociology and Anthropology departments, reflecting his interdisciplinary engagement. His academic training includes a B.A. in Philosophy & Psychology from Oklahoma State University and an M.A. and Ph.D. in Cognitive Psychology from the University of Illinois at Urbana-Champaign. Kyle's research and professional expertise focus on cognitive development, particularly language acquisition, and he has developed strong competencies in data analytics, research ethics, and data visualization using R and Shiny. His work in institutional research involves leading a team that builds data dashboards, conducts research reports, and administers surveys to support strategic decision-making across student success, resource allocation, and academic programming. Teaching has been a central component of his career, with extensive experience in courses such as Child Development (PSY-234), General Psychology (PSY-100), and Statistics and Research Methods II (PSY-225). He has also taught specialized topics including the Psychology of Language and directed research courses, indicating mentorship roles. While no specific scientific awards are listed, his leadership in innovation in teaching and technology is evident through contributions to campus blog series such as 'Profiles in Innovation' and 'Teachers Talking Technology.' Associate Provost for Institutional Research & Analytics Chair, Institutional Review Board (IRB) Interim Chair, Physics Department Interim Chair, Sociology and Anthropology Department Former Chair, Department of Psychological Science (2017–2020) He leads a dedicated team in the Office of the Provost focused on academic analytics, promoting a culture of data-informed decision-making across the college. His lab or team functions as part of the Institutional Research & Analytics unit, supporting institutional effectiveness through data strategy and ethical research oversight.

Wolfgang Stammerمشاهده پروفایل

پژوهشگر

• Explainable AI
• Neuro-Symbolic Architectures
• Concept Learning
• +۳ مورد دیگر

Wolfgang Stammer is a PostDoc researcher in the Machine Learning Group at TU Darmstadt's Computer Science Department. His work focuses on making AI models more interpretable and interactive, particularly in explainable AI (XAI), neuro-symbolic architectures, and systematic compositionality challenges in neural networks. He completed his Ph.D. in Machine Learning at TU Darmstadt (2019–2025), an M.Sc. in Computer Science at Goethe University Frankfurt (2016–2018), and a B.Sc. in Cognitive Science at the University of Osnabrück (2011–2015). Research Interests : Stammer's research bridges gaps between human understanding and AI capabilities. Key areas include: Explainable AI (XAI) and interactive machine learning (XIL) Neuro-symbolic integration for logical reasoning and visual concepts Mitigating shortcut learning and confounding factors in datasets Concept discovery and program synthesis for interpretable models Publications : His work spans foundational contributions to AI benchmarks (e.g., V-LoL, SLR-Bench) and frameworks (Neural Concept Binder, Revision Transformers). Recent studies highlight AI's limitations in systematic generalization and propose solutions for aligning reinforcement learning agents with human values. Grants & Labs : He contributes to the Machine Learning Lab at TU Darmstadt and co-organized workshops like the Interactive Machine Learning Workshop @ AAAI 2022. His research bridges theoretical advances with practical applications in healthcare and ethical AI systems.

G. Caltaisمشاهده پروفایل

استادیار

• Concurrency Theory
• Causal Models
• Knowledge Models
• +۴ مورد دیگر

G. Caltais is an Assistant Professor in the Formal Methods and Tools (FMT) group at the University of Twente's Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). Previously, they worked as an independent junior scientist at the University of Konstanz (Chair for Software and Systems Engineering) and as a post-doctoral researcher at ETH Zürich (Chair of Software Engineering). They hold a PhD from Reykjavík University and Radboud University. Research Focus: Formal modeling of computer systems, emphasizing automata theory, concurrency, causal/knowledge models, and software-defined networks (SDNs). Current projects include DyNetKAT (formal SDN analysis), Zorro (zero downtime knowledge models), and exploring cyclic structures in software correctness. Committees: Served on program committees for CALCO 2023, ESOP 2023, FORTE 2022-2023, FSEN 2023-2025, IEEE NFV-SDN 2020-2022, SPIN 2022-2024, and others. Organized events like CREST@ETAPS 2019/2023 and EXPRESS/SOS 2023. Student Projects: Offers B.Sc./thesis proposals on DyNetKAT visualization, causal analysis of SDN safety violations, and learning formal network models from real datasets. Contact for custom project ideas.

• Engineering Drawing
• Building Information Modeling (BIM)
• Geographic Information Systems (GIS)
• +۱۲ مورد دیگر

Maurizio Marco Bocconcino is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino. He is a member of the Interdepartmental Center R3C (Responsible Risk Resilience Center) and serves as Coordinator of basic subjects for the 2nd year of Engineering. His academic work bridges civil engineering and architectural design, with a strong focus on representation and digital modeling. His research interests include engineering drawing, territorial and urban surveying, geographic information systems (GIS), Building Information Modeling (BIM), data representation, and tools for urban and social regeneration. He investigates methods for surveying historic buildings, urban resilience, and the integration of digital technologies in heritage and urban planning. His work is aligned with UN Sustainable Development Goals 11 and 17, emphasizing sustainable cities and collaborative research. Bocconcino's recent publications explore digital archives for academic heritage, analog artifacts in engineering education, urban form, LEAN-BIM integration, and the visualization of social impact. His research outputs span journals such as DISEGNO , International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences , and AGATHÓN , as well as conference proceedings in representation and urban planning disciplines. He is actively involved in research projects, including the EU-funded MAINCODE project on urban climate shelters and multiple commercial consulting contracts as Scientific Manager, focusing on urban and social regeneration. His teaching responsibilities include courses in engineering drawing, digital modeling, and graphic language across Civil, Environmental, and Building Engineering programs. Bocconcino collaborates with researchers such as Mariapaola Vozzola, Giorgio Garzino, Martino Pavignano, and Fabio Manzone. His affiliations with ERC sectors highlight expertise in civil engineering, computational modeling in culture, computer graphics, design, and information systems.

Vladimir Filkovمشاهده پروفایل

استاد

• Open Source Software Sustainability
• Artificial Intelligence in Health
• Empirical Software Engineering
• +۷ مورد دیگر

Vladimir Filkov is a Professor in the Department of Computer Science at the University of California, Davis, College of Engineering. He leads two research labs: the DECAL Lab and the AI for Health Lab. He is actively engaged in research, teaching, and service, with a focus on open-source software sustainability, AI in healthcare, and data science. He has held leadership roles such as General Chair of ASE 2024 and inaugural Director of Translational Data Science at UCD DataLab. Professor, Department of Computer Science, UC Davis Director, DECAL Lab Director, AI for Health Lab General Chair, ASE 2024 Director of Translational Data Science, UCD DataLab (2020–2024) His research centers on the sustainability of open-source software, using socio-technical and governance data to forecast project success and evolution. He also investigates AI applications in health, particularly multimodal models for atrial fibrillation and NLP in medicine. His work bridges empirical software engineering, data science, and healthcare informatics, with strong community engagement through forums and podcasts. He has led major NSF, Google, and Sloan Foundation-funded projects on OSS sustainability and UC-wide OSPO initiatives. The recent publications highlight a strong trend in empirical software engineering, particularly around open-source governance, lifecycle analysis, and sustainability forecasting. There is also a growing emphasis on health-related AI, including multimodal models for cardiac conditions and natural language processing in clinical settings. The work combines data-driven modeling with real-world impact in both software ecosystems and healthcare. ACM Distinguished Member ACM SIGSOFT Distinguished Paper Award Vladimir Filkov has successfully secured competitive grants from the NSF (GCR, Phase I and II), Google, and the Sloan Foundation. He advises PhD students including Likang Yin, Raiyan Jahangir, and postdoc Stefan Stanciulescu. His mentoring spans topics in software engineering, AI, and computational biology. He has organized major research forums and collaborative initiatives across the UC system. He leads the DECAL Lab and the AI for Health Lab at UC Davis, fostering interdisciplinary research in software sustainability and healthcare AI. These labs support graduate students, postdocs, and collaborative projects with national and international partners.

Pavel Trofimovichمشاهده پروفایل

استاد

• Second Language Acquisition
• Applied Linguistics
• Psycholinguistics
• +۷ مورد دیگر

Pavel Trofimovich is a Professor of Applied Linguistics at Concordia University's Department of Education, where he has worked since 2003. His research bridges psycholinguistic, sociolinguistic, and pedagogical dimensions of second language acquisition. PhD in Educational Psychology/Applied Linguistics (University of Illinois at Urbana-Champaign, 2003) MA in Teaching English as an International Language (University of Illinois at Urbana-Champaign, 1998) BA in English Philology (University of Latvia, 1996) Key research areas include cognitive processing in L2 speech acquisition, social variables affecting language learning, and comprehensibility in lingua franca interactions. His Concordia Applied Linguistics Lab (co-directed with Kim McDonough) employs mixed methods including eye-tracking and physiological sensors to study multilingual communication. Recent publications (2023-2025) focus on metaperception in L2 interaction, accent bias in employment, and nonverbal behaviors in communication success. Collaborative projects with students and SSHRC grants (e.g., 2021-2025 foreign accent bias study) demonstrate his applied focus on real-world language challenges. Current PhD students: Anamaria Bodea, Thao-Nguyen Nina Le, Chaoqun Zheng Former students now hold academic positions globally (University of Alberta, Waseda University, etc.)

• Cultural Memory
• Perpetrator Studies
• Environmental Humanities
• +۷ مورد دیگر

Dr. Susanne C. Knittel is Associate Professor of Comparative Literature at Utrecht University's Department of Languages, Literature and Communication. Holding a PhD from Columbia University (2011), she specializes in cultural memory, perpetrator studies, and environmental humanities through interdisciplinary lenses. Director of ERC-funded Ecologies of Violence project Co-founder of Journal of Perpetrator Research (2017) Co-director of Utrecht Network for Environmental Humanities Her research combines Holocaust memory with broader questions of guilt, responsibility, and cultural representation. She teaches courses on perpetrator studies, 20th/21st century European/North American literature, and posthumanist theory while organizing international academic initiatives like the Utrecht Forum for Memory Studies . Recent publications focus on environmental violence intersections with colonialism and genocide. Awards include ERC Consolidator Grant (2024), NWO-VENI award (2013), and European Studies Book Award recognition (2016).

Daphna Harelمشاهده پروفایل

دانشیار

• Survey Methodology
• Measurement Theory
• LGBTQIA+ Data Analysis
• +۶ مورد دیگر

Daphna Harel (she/her) serves as Associate Professor of Applied Statistics and Director of the A3SR MS Program within the Department of Applied Statistics, Social Science, and Humanities at New York University's Steinhardt School of Culture, Education, and Human Development. She holds leadership roles including PI of the NYU QUEER data lab and membership on the steering committee for the DEPRESSD project. Education: PhD in Mathematics and Statistics from McGill University Harel's research focuses on measurement challenges in survey methodology, particularly for self-reported questionnaires in health and social sciences. Her work bridges theoretical statistics with practical applications in LGBTQIA+ data collection, differential item functioning, and patient-reported outcomes. She develops methodological frameworks for polytomous Item Response Theory and creates guidelines for statistical analysis of complex survey data. Her recent work emphasizes improving statistical practice for LGBTQIA+ populations and advancing queer data collection methods. Her publication portfolio demonstrates consistent focus on measurement validity across diverse health contexts, with recent work expanding into LGBTQIA+ data science. Her research shows increasing emphasis on methodological innovations for gender and sexuality measurement, with multiple publications presented at major conferences including AAPOR 2024 and LGBTQ+ Health Conference 2024. Research Leadership: PI of NYU QUEER data lab (founded Fall 2022) Steering committee member for DEPRESSD project Collaborator with Scleroderma Patient-centered Intervention Network Recipient of NIH R21 funding and NYU intramural grants Harel mentors a diverse team of graduate students through the Applied Statistics for Social Science Research program, focusing on inclusive research methods for marginalized populations. Her grant portfolio includes investigations into transgender voice training, LGBTQIA+ survey methodology, and healthcare access for gender-affirming services. Laboratory Leadership: As founder and PI of the NYU QUEER data lab, Harel leads research projects examining survey question design for gender/sexuality measurement, content moderation effects on hate speech, and accessibility of transgender voice training. The lab operates through collaboration between NYU Steinhardt and the NYU BITS lab, with research assistants drawn from the Applied Statistics MS program.

Elisabeth Navarroمشاهده پروفایل

استاد

• Interpretation
• Translation Studies
• Intercultural Communication
• +۳ مورد دیگر

Elisabeth Navarro is a Professor at University of Paris Cité, affiliated with the CLILLAC-ARP laboratory. She specializes in interpreted communication, public service interpretation, and intercultural strategies. Created France's first diploma in Public Service Mediation and Interpretation Coordinates the Master's program in Languages, Interpretation and Intercultural Strategies (LISI) Research Focus Her research explores the intersection of: Interpreted communication frameworks Cultural and linguistic mediation dynamics Migration and otherness studies Language policy implementation Discourse analysis in institutional contexts Doctoral Supervision Has directed over 30 Master's theses since 2015 on topics ranging from: Corporate language policies in multinational companies Technological impact on interpretation Medical and legal language mediation Social media intercultural communication Academic Publications Authored a foundational book on interpreted communication (2023) and maintains active research output through the LISI program, with recent work examining: Intercultural marketing strategies Professional identity in multilingual environments Language mediation in social services Digital communication challenges

• Human-Computer Interaction
• Geographic Information Science
• Virtual Reality
• +۷ مورد دیگر

Johannes Schöning is a Professor of Human-Computer Interaction at the University of St. Gallen, where he leads a research group focused on developing novel user interfaces that empower individuals and communities with data-driven decision capabilities. His work bridges rapidly advancing technologies with human needs across diverse contexts including geographic information science, public health, medical applications, and extreme environments such as space missions. He publishes extensively at premier HCI venues including ACM CHI, MobileHCI, and DIS, as well as in interdisciplinary journals like NATURE and PLOS ONE. Professor Schöning's research interests center on understanding the interplay between technology and human activities through rigorous methods from AI, computer graphics, and cognitive psychology. His work emphasizes user-centered design methodologies and mixed methods approaches to create interfaces that fit both technological possibilities and human requirements. Key focus areas include virtual and augmented reality applications, accessibility solutions, navigation technologies, and the social implications of digital interfaces in everyday life. His research mission prioritizes theoretical and practice-based inquiry to develop disruptive solutions for real-world problems. Analysis of his recent publications reveals strong trends in virtual reality applications for emotional regulation and accessibility, with increasing emphasis on generative AI integration, environmental awareness, and space-related HCI challenges. His work consistently demonstrates interdisciplinary collaboration across computer science, psychology, geography, and medical fields, with publications showing growing interest in social implications of technology, particularly regarding navigation systems and their externalities. His scientific contributions have been recognized with numerous awards including: Best Presentation Award at IEEE VR 2023 Best Paper Award & Accessibility Award at Interact 2019 10 Year Impact Award 2021 Multiple Honorable Mention Awards at top conferences Professor Schöning actively mentors students across bachelor, master, and PhD levels, with his lab seeking candidates interested in the intersection of HCI, geoinformatics, and ubiquitous computing technologies. He emphasizes creating a 'detox-free academic environment' that focuses on meaningful teaching and research outcomes rather than academic pressures. His group frequently collaborates with international researchers and institutions on projects spanning medical applications, space exploration interfaces, and public health technologies. The research laboratory led by Professor Schöning maintains strong interdisciplinary connections across multiple domains. Current projects include developing AI-powered wearables for blind and low vision users, exploring VR applications for emotional regulation, investigating navigation technologies' social impacts, and creating interfaces for space mission contexts. The lab's work on CubeSat control software and plant visualization for space greenhouses demonstrates their unique focus on extreme environment applications, while their research on citizen participation through generative AI shows engagement with contemporary societal challenges.

Susan Harkness Regliمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Human Factors
• Clinical Decision Support
• +۴ مورد دیگر

Susan Harkness Regli, PhD, serves as Human Factors Scientist for the University of Pennsylvania Health System and is a founder of Penn Medicine’s Center for Applied Health Informatics, driving innovation at the intersection of human factors engineering and healthcare delivery. Her research program focuses on critical healthcare challenges through: Human-Computer Interaction in clinical environments Patient safety systems design Clinical decision support optimization Healthcare applications of AI and machine learning Natural language processing for medical data Human factors in sepsis management and insulin safety Analysis of her 2009-2023 publications reveals consistent emphasis on real-world healthcare human factors, with recent work addressing sepsis diagnosis workflows, insulin pen safety protocols, and augmented reality applications. Her scholarship demonstrates methodological diversity spanning qualitative clinician interviews, heuristic evaluations, and quality improvement projects focused on error prevention in high-stakes medical environments. As co-founder of Penn Medicine’s Center for Applied Health Informatics, Dr. Regli leads strategic initiatives that bridge human factors science with clinical informatics to develop practical solutions for healthcare delivery systems, fostering collaborations between engineers, clinicians, and data scientists to enhance patient safety through technology design.

• Computational Intelligence
• Agent-Based Simulation Systems
• Neuroscience
• +۴ مورد دیگر

Darius Plikynas is a Senior Researcher at the Smart Technologies Research Group within the Institute of Data Science and Digital Technologies at Vilnius University . His research integrates computational intelligence methods with agent-based simulation to model cognitive and social processes. Position: Senior Researcher, Chief Researcher in the Project Address: Akademijos St. 4, room 224, Vilnius Contact: +370 5 210 9333, +370 620 95101 Email: darius.plikynas@mif.vu.lt Personal page: http://www.dariusplikynas.eu Dr. Plikynas' research spans interdisciplinary domains including neuroscience, physics methods, complexity theory, and distributed cognitive systems. He led the 2017–2019 project "Development of a metric, conceptual and simulation model of the social impact of cultural processes" under the LMT Research Group Funding Program. His recent publications (2016–2025) reflect trends in combining machine learning with social science questions (fake news analysis, propaganda detection) and agent-based modeling of cultural/social capital dynamics. Key collaborations include Leonidas Sakalauskas, Rimvydas Laužikas, and Arunas Miliauskas. Scientific supervision includes doctoral students: Andrius Budrionis (University of Tromsø, Norway) Ieva Rizgelienė (PhD topic: "Propaganda detection and classification in social media using hybrid deep learning") He also serves as an expert at Vilnius University and has contributed to projects involving: 2D financial market visualization Neural oscillation-based cognitive modeling Indoor navigation for blind individuals Cultural participation impact on social capital