جست‌وجوی استاد و پژوهشگر

• Computational Modeling
• Cognitive Science
• Emotion Modeling
• +۵ مورد دیگر

Professor Stacy Marsella is a Cognitive Neuroimaging researcher at the University of Glasgow with a distinguished career in computational modeling of human cognition, emotion, and social behavior. Her work bridges computer science, cognitive psychology, and artificial intelligence to create sophisticated virtual human systems. Her research interests focus on computational modeling of cognition, emotion and social behavior, with particular emphasis on the interplay between emotion and cognition, Theory of Mind (modeling beliefs about others' mental processes), and the role of nonverbal behavior in face-to-face interaction. She has pioneered applications in virtual human design, where software entities interact with humans using spoken dialogue in virtual environments, and large-scale social behavior simulation. Analysis of her 15 most recent publications reveals a consistent focus on virtual human technologies, social interaction modeling, and decision-making processes. Her work spans multiple disciplines including affective computing, human-computer interaction, cognitive science, and artificial intelligence, with particular strength in gesture generation, social virtual reality, and computational models of human behavior under stress. Recent work shows increasing application to real-world problems like hurricane evacuation decisions, supply chain management, and public speaking training. Professor Marsella has supervised postgraduate students including Marion Roth and Tobias Thejll-Madsen, and has worked with research assistants Stephanie Cheng, Amol Deshmukh, and Alessandro Vinciarelli. Her significant research is supported by multiple major grants including from EPSRC and DARPA. She leads research funded by three major grants: 'From data and theory to computational models of more effective virtual human gestures' (EPSRC, 2020-2022), 'AGENTS with Theory of Mind for Intelligent Collaboration (ATOMIC)' (DARPA, 2019-2023), and 'Graphical Encoding of First Principles for Agent-Based Social Simulation (GEFPABSS)' (DARPA, 2018-2020). These projects reflect her leadership in developing advanced computational models of social cognition and virtual human technologies.

Shelley L Staplesمشاهده پروفایل

استاد

• Corpus Linguistics
• Discourse Analysis
• Second Language Acquisition
• +۴ مورد دیگر

Shelley L Staples is a Professor at the University of Arizona teaching in undergraduate English, MA TESL, and Second Language Acquisition and Teaching PhD programs. Her research employs corpus-based discourse analysis to investigate language variation across spoken and written contexts, focusing on situational factors and speaker characteristics including register, first language, and proficiency levels. Dr. Staples earned her PhD in Applied Linguistics from Northern Arizona University (2014). Her work bridges theoretical linguistics and practical applications in English for Academic/Specific Purposes (EAP/ESP), with current projects examining academic writing development and healthcare communication patterns. She utilizes mixed-methods approaches combining qualitative discourse analysis with quantitative computational text analysis. Recent publications (2023-2025) demonstrate concentrated research on grammatical complexity metrics, disfluency patterns in L2 speech, and innovative asset-oriented approaches to learner corpus data. Key trends include methodological advances in multi-dimensional analysis, development of accessible corpus tools (e.g., CIABATTA), and investigations into linguistic features across academic registers and proficiency levels. As Principal Investigator, Dr. Staples directs two major corpus initiatives: Corpus and Repository of Writing (Crow) : A longitudinal resource tracking academic writing development Multilingual Corpus of Assignments—Writing and Speech (MACAWS) : Supporting research in less commonly taught languages These projects provide infrastructure for studying language variation across disciplines and proficiency levels, directly informing pedagogy in second language writing and assessment. Her leadership establishes critical resources for applied linguistics research and instruction.

• Psychometrics
• Latent Variable Modelling
• Structural Equation Modelling
• +۵ مورد دیگر

Melanie Partsch is a postdoctoral researcher at Utrecht University's Faculty of Social and Behavioural Sciences , Department of Methodology and Statistics. Previously, she worked at the University of Education Weingarten and GESIS—Leibniz Institute for the Social Sciences. Current position since 2023: Postdoctoral researcher Previous roles: Research associate (2017-2022) Research Expertise : Psychometrics and latent variable modeling Machine learning applications in structural equation modeling Development of personality assessment tools Measurement of character strengths and values Questionnaire design and sociodemographic variable validation Education data infrastructure standards Labs & Collaborations : Measurement and Machine Learning Lab at Utrecht University KonsortSWD project (National Research Data Infrastructure NFDI) Collaborative work with international institutions Publications : Recent work focuses on structural equation modeling misfit detection using machine learning Development of efficient character strength scales Analysis of lifelong learning determinants Cross-cultural validation studies

Myriam Brasمشاهده پروفایل

استاد

• Linguistics
• Semantics
• Pragmatics
• +۶ مورد دیگر

Myriam Bras is a Professor at the Cognition, Languages, Ergonomics (CLLE) research center at the University of Toulouse - Jean Jaurès. She serves as Co-head of the Languages and Language team and Co-head of the OCRE theme focused on Occitan, Romance Languages, and European Languages. Her work bridges theoretical linguistics with practical applications for language preservation and education. Professor Bras specializes in semantics, pragmatics, and discourse analysis, with particular expertise in the Occitan language. Her research encompasses temporal structures of discourse, semantics of time across lexicon, grammar and discourse, and situated linguistics focusing on language comparison in educational settings. She has developed significant computational resources for Occitan including the BaTelÒc database and TALòc tools, addressing the critical need for documentation of this UNESCO-classified endangered language. Her recent publications (2023-2025) demonstrate a strong focus on Occitan language processing, discourse coherence analysis, and developing linguistic resources for under-resourced languages. These works reveal consistent patterns of interdisciplinary collaboration across computational linguistics, language documentation, and educational applications, particularly through European-funded projects like LINGUATEC and LINGUATEC-IA. Professor Bras has secured substantial research funding through multiple European and national projects including LINGUATEC (2018-2021), LINGUATEC-IA (2024-2026), DiViTal (2021-2024), and RESTAURE (2015-2018). Her work demonstrates significant commitment to both theoretical linguistics and practical applications for language preservation, particularly for minority languages of France. She leads the development of critical language resources including the CorpusArièja (a collection of 72 texts in Occitan with dialectal and spelling variation), the ParCoLab Parallel Corpus, and Loflòc (a morphological lexicon for Occitan using Universal Dependencies). These resources support both academic research and practical language revitalization efforts.

Céline LEMERCIERمشاهده پروفایل

استاد

• Cognitive Psychology
• Human-Machine Interaction
• Attention and Emotion
• +۳ مورد دیگر

Céline Lemercier is Full Professor of Cognitive and Ergonomic Psychology at Université Toulouse – Jean Jaurès (UT2J) and member of the joint CNRS laboratory Cognition, Languages, Langage, Ergonomie (CLLE). Since 2020 she co-leads the “Cognition in Complex Situations” research team and the interdisciplinary TIMH-Lab (Toulouse Innovative Mobility Human-factors Lab), and since 2018 she heads the educational innovation programme Cog’Cap for Bachelor students in Psychology. Education Ph.D. in Cognitive Psychology, Université de Poitiers (1996–1999) Master in Psychology, University of Angers (1991–1996) Research Interests Her work is organised around four tightly linked axes: Attention & Automated Driving – studying how age, emotion and expertise influence takeover behaviour in Level 2–5 automated vehicles and designing human-machine interfaces that facilitate safe transitions of control. Illusion of Control & Gambling – investigating cognitive biases underlying persistent gambling, especially among older adults, in collaboration with Prof. Valérie Le Floch. Agriculture & Industry 4.0 – examining acceptability factors of smart HMIs for operators in viticulture and agri-food contexts. Fundamental Mechanisms of Attention – re-examining the Stroop effect and related cognitive control processes across development. Scientific Awards & Funding The research programmes she coordinates have received eight external grants, including funding from MILDECA (Inter-ministerial Mission for the Fight against Drugs and Addictive Behaviours) and the French National Research Agency (ANR). Two completed PhD theses and three ongoing PhD projects directly stem from these programmes. Doctoral Supervision & Teaching Prof. Lemercier currently supervises several PhD students whose topics range from takeover behaviour in automated vehicles (Sharon Ouddiz, Maxime Delmas, Robin Cazes) to flow and gamification in mobility applications (Célia Vancaemelbecke) and gambling in ageing populations (Maylis Fontaine). At the undergraduate level she is responsible for the compulsory module “Experimental Methodology” and the optional course “Attention & Technological Innovations”. Laboratories & Teams She leads the TIMH-Lab research group, a cross-disciplinary hub focusing on human factors in future mobility systems, and co-directs the “Cognition in Complex Situations” team within CLLE.

• Educational Technology
• Video Game-Based Learning
• Virtual Environments
• +۳ مورد دیگر

Dr. P. G. Schrader serves as a Professor of Educational Technology within the Department of Teaching and Learning at the University of Nevada, Las Vegas (UNLV), concurrently holding key roles as co-coordinator for doctoral programs and assessment coordinator for STEM initiatives on UNLV's Gear-Up project. He maintains an active research profile as a scientist at UNLV's Center for Research, Evaluation, and Assessment, demonstrating deep integration across academic leadership, research, and practical educational implementation. His research program centers on the innovative application of video games and virtual environments as performance assessment tools, with particular emphasis on embodiment, presence, and contextual learning. Schrader investigates how digital experiences can be systematically leveraged to measure complex learning outcomes, especially in STEM domains, while exploring the psychological mechanisms underlying virtual identity formation and transferable skill development. Analysis of Schrader's publication trajectory reveals sustained methodological innovation in educational technology research. His work progresses from foundational examinations of virtual self-perception (2012-2013) toward sophisticated frameworks for game-based assessment (2019-2021), consistently addressing the tension between commercial game design and pedagogical requirements. He pioneered heuristic approaches for evaluating learning in commercial off-the-shelf games while developing mixed-methods techniques for analyzing social media interactions in educational contexts. As doctoral program co-coordinator, Schrader shapes graduate education through curriculum development and mentorship. His editorial leadership as Specialty Chief Editor for Digital Learning Innovations in Frontiers in Digital Humanities demonstrates scholarly influence, while his Gear-Up project role translates research into practical STEM assessment tools for underserved student populations. These interconnected roles position him at the critical nexus of educational theory, technological innovation, and real-world implementation.

Julie Lamarraمشاهده پروفایل

استادیار

• Design Education
• Outdoor Product Design
• Brand Identity
• +۴ مورد دیگر

Dr. Julie Lamarra serves as a Professional Practice Assistant Professor in the Department of Technology, Design and Technical Education at Utah State University's College of Agriculture and Applied Sciences, where she teaches Outdoor Product Design and Development courses emphasizing design thinking, aesthetics, and brand identity narratives. Her academic credentials include: PhD in Career and Technical Education, Utah State University (2021) MA in Secondary Art Education (Photography and Graphic Design), Westminster College (2009) BA in Art (Psychology), Westminster College (2007) 200 RYT Yoga Certification, Transcend Yoga School (2016) Utah State Teaching Certification (2009) Dr. Lamarra's research explores the intersection of design education, technology integration, and aesthetics, with growing emphasis on artificial intelligence applications in curriculum development. Her work investigates experiential learning models and andragogical approaches for design-situated contexts, particularly examining how color theory and brand identity structures influence consumer engagement in outdoor product ecosystems. Her recent publications reveal a cohesive trajectory toward innovative pedagogical frameworks, spanning ungrading methodologies, computational design processes, and mobile game development for civic engagement. These works collectively demonstrate her commitment to reimagining design education through technology-enhanced experiential learning and AI-integrated curricula. Recognition for her excellence includes: NACTA Teaching Award of Merit (2024) TDTE Teacher of the Year (2023) Applied Sciences, Technology & Education Undergraduate Faculty Mentor of the Year (2022) CAAS Undergraduate Faculty Mentor of the Year Award (2022) As an undergraduate mentor, Dr. Lamarra has guided students through design studios and research projects, fostering practical skills in outdoor product development. Her mentorship approach emphasizes accountability and innovation, directly contributing to student success in design competitions and industry placements. While specific grant details aren't provided, her curriculum development work suggests active collaboration with industry partners. Her creative practice extends to exhibitions like 'Blending in and standing out: A color story told through the Outdoor Archive' (2024) and the anthology 'The Outdoor Archive' (2023), reflecting deep integration of academic research and artistic expression within outdoor product contexts.

• Cybersecurity
• Information Security
• Socio-Technical Systems
• +۵ مورد دیگر

Grethe Østby is an Associate Professor at the Department of Information Security and Communication Technology, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). She completed her doctoral thesis in 2023 focusing on information security incident response in public emergency organizations. Her office is located in the Ametyst building (A111) in Gjøvik. Research Interests: Dr. Østby specializes in socio-technical approaches to cybersecurity, including crisis management frameworks, organizational learning, and digital forensic readiness. Her work emphasizes human factors in incident response and develops practical training methodologies like EXCON teams and serious games for security education. Publication Trends: Her recent articles (2019-2023) demonstrate a consistent focus on bridging socio-technical gaps in cybersecurity. Primary themes include maturity modeling for crisis response, IoT forensic frameworks, phishing mitigation in public sectors, and innovative training designs. Collaborative works frequently address organizational resilience and adaptive learning in security contexts. Teaching: She coordinates courses including IIKG6503 - Introduction to Information Security Management and IMT4115 - Introduction to Information Security Management .

• Bulgarian Linguistics
• Phraseology
• Computer Terminology
• +۳ مورد دیگر

Anita Ivanova Todoranova-Dushkova serves as a Lecturer in the Department of Modern Bulgarian Language within the Faculty of Modern Languages at St. Cyril and St. Methodius University of Veliko Turnovo. Her academic work focuses on contemporary Bulgarian linguistics with particular attention to how digital communication and technological advancement influence language structure and usage. She actively participates in academic discourse through conference presentations and scholarly publications addressing current linguistic challenges in the digital age. Dr. Todoranova-Dushkova's research interests center on Bulgarian phraseology, computer terminology, spelling norms, and digital communication linguistics. Her work examines how modern technology affects traditional language structures, particularly in the areas of orthography and phraseological units. She conducts comparative analyses between Bulgarian and Romanian languages, exploring shared linguistic features and cultural connections through lexical items related to concepts like money, water, and bread. Her research increasingly addresses the intersection of artificial intelligence and language processing, investigating how computational approaches interact with human linguistic intuition. Her recent publications reveal a clear trend toward examining digital language evolution, with numerous studies on how the digital generation approaches writing conventions, spelling norms, and technical terminology. She analyzes contemporary linguistic phenomena such as internet lexemes with computer-related roots (bug, crash) and investigates how crisis situations affect language use and humor. Her work bridges traditional linguistic scholarship with emerging digital communication patterns, making significant contributions to understanding modern Bulgarian language evolution. Dr. Todoranova-Dushkova regularly contributes to national and international academic conferences focused on digital transformation of education, language standardization, and phraseological studies. Her scholarly output appears in reputable Bulgarian academic journals and conference proceedings, demonstrating consistent research productivity through 2025. While specific information about her teaching responsibilities isn't detailed in the available materials, her position as Lecturer suggests active involvement in undergraduate language instruction. Her research focus on digital communication and modern language usage likely informs contemporary approaches to language teaching at the university level.

• Organizational Semiotics
• Information Systems
• Business Informatics
• +۷ مورد دیگر

Professor Kecheng Liu is a distinguished academic at the University of Reading's Henley Business School, Department of Information Systems, with an extensive publication record spanning over two decades. His research has significantly contributed to the fields of organizational semiotics, information systems, and business informatics, establishing him as a leading authority in semiotic approaches to information systems design and digital transformation. Professor Liu's research interests focus on the intersection of semiotics and information systems, with particular expertise in organizational semiotics, pervasive computing, healthcare information systems, and digital business ecosystems. His work develops theoretical frameworks that bridge the gap between human understanding and digital systems, creating more effective and meaningful information architectures. His research has evolved from foundational semiotic modeling to contemporary applications in AI ethics, digital transformation, and sustainable business practices, demonstrating both theoretical depth and practical relevance across multiple domains. His publication portfolio reveals a consistent trajectory of scholarly contributions, with recent work emphasizing digital business ecosystems, AI ethics, healthcare information interoperability, and sustainable development. Professor Liu has successfully secured research funding across various domains, particularly in healthcare informatics and digital transformation projects. His collaborative network spans multiple continents, with frequent partnerships across Europe, China, and the Middle East, demonstrating strong international research connections. Professor Liu leads a research group focused on organizational semiotics and digital transformation, working closely with both academic and industry partners to translate theoretical insights into practical applications. His team has developed several frameworks for business-IT alignment and semiotic modeling that have been adopted in healthcare, finance, and public sector organizations.

• Machine Learning
• Algorithms
• Ubiquitous Computing
• +۵ مورد دیگر

Rashid Kamal is a Lecturer in Computer Science at the School of Computing, Ulster University. His research focuses on Human-Computer Interaction, Behavioral Data Analysis, and Multiobjective Optimization, with applications in Mobile Computing and Healthcare Informatics. Education: BSc (2016) and MSc (2019) in Computer Science from Iqra and Comsats Universities (Pakistan), respectively. Prior Roles: Lecturer at Abasyn University's Faculty of Computing. His research interests emerge from projects like notification prioritization, healthcare activity recognition, and network optimization, utilizing Machine Learning and Algorithms. Recent publications from 2024-2025 emphasize context-aware mobile systems, multi-label classification, and AI-driven network traffic solutions. Earlier works (2019-2022) explore emotion detection, scheduling algorithms, and data preprocessing techniques. Scientific Awards: Best Researcher at Abasyn University (2018, 2019) He has secured four research grants from Pakistan's National Technology Fund (2019) and developed 300+ Android applications.

Richard Scherlمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Automated Reasoning
• +۸ مورد دیگر

Richard Scherl is an Associate Professor in the Department of Computer Science and Software Engineering at Monmouth University, where he has been teaching since 2002. His office is located in James and Marlene Howard Hall 222. Education: Ph.D. in Computer Science, University of Illinois M.A. & Ph.D. in Anthropology, University of Chicago Diploma in Tamil Research, Madurai University (India) Research Interests: Professor Scherl's primary research focuses on logic-based knowledge representation and automated reasoning using formal frameworks like situation calculus. His work bridges Artificial Intelligence with Natural Language Processing , Cognitive Science , and Computational Social Sciences to model common sense knowledge, linguistic context, conversational actions, and socio-cultural phenomena. He investigates how reasoning systems integrate database structures with natural language semantics while addressing philosophical and anthropological dimensions of knowledge construction. Publications: His scholarly output demonstrates a consistent trajectory in formalizing context-aware reasoning systems. Recent works (2022) develop situation calculus models for knowledge, belief, and conversation, while earlier research (2015-2010) explores socio-cultural inference from text, semantic classifiers for big data, and epistemic planning. The publications reveal an interdisciplinary methodology connecting AI with linguistics and social sciences, yielding applications in homeland security, social computing, and narrative analysis. Awards: No scientific awards were mentioned in the provided information. Advising and Grants: The available documentation does not specify details regarding student advising or research grant funding. Labs and Teams: No information about dedicated research laboratories or collaborative teams was provided in the source materials.

Valerie Sticherمشاهده پروفایل

پژوهشگر

• Armed Conflicts
• Conflict Analysis
• Satellite Data Applications
• +۵ مورد دیگر

Dr. Valerie Sticher is a Senior Researcher at the Center for Security Studies within ETH Zurich's Department of Humanities, Social and Political Sciences. Her interdisciplinary work bridges political science, conflict studies, and technological innovation, focusing on how satellite data and AI can enhance conflict analysis and humanitarian response. Previously, she has held academic positions at the University of Zurich, Johns Hopkins University, AI Singapore, and Leiden University. Dr. Sticher's research interests center on the dynamics of armed conflicts, with particular emphasis on ceasefire compliance, strategic decision-making processes in war, and the application of remote sensing technologies for monitoring conflict zones. She employs both qualitative methodologies and computational approaches to analyze how satellite data, particularly nighttime light imagery and SAR data, can serve as proxies for identifying humanitarian crises and assessing war-related damage. Her work on the Remote Monitoring of Armed Conflicts project represents a significant contribution to automating the detection of war damage through open-access satellite imagery. Her recent publications demonstrate a clear trend toward integrating technological innovations with traditional conflict analysis, particularly focusing on Ukraine and other active conflict zones. She has pioneered methods for using satellite-based nighttime light data to monitor humanitarian situations and has developed machine learning approaches for assessing building damage in conflict areas. Her research bridges the gap between political science and data science, creating actionable insights for policymakers and humanitarian organizations. Dr. Sticher has received multiple awards for her research, though specific awards are not detailed in available sources. Her work has been published in leading journals including Communications Earth & Environment, British Journal of Politics and International Relations, and International Studies Review. Her academic journey reflects a unique trajectory from practical field experience to scholarly research. Before entering academia, she served as a political affairs officer for the United Nations Integrated Mission in Timor-Leste and as a senior program officer with the mediation support team at the Center for Security Studies, providing her with valuable on-the-ground insights that inform her current research. Dr. Sticher is actively involved with the Remote Monitoring of Armed Conflicts project and the Deep Learning-based Mapping of Conflict project at ETH Zurich's Center for Security Studies, where she serves as Co-Principal Investigator. These initiatives represent cutting-edge interdisciplinary efforts to develop automated systems for conflict monitoring that can enhance both academic understanding and practical humanitarian response.

• smart cities
• ubiquitous systems
• urban informatics
• +۳ مورد دیگر

Rui João Peixoto José is an Assistant Professor with Habilitation at the Information Systems Department, School of Engineering, University of Minho. He holds a PhD in Computer Science from Lancaster University (2001) and teaches Ubiquitous Systems, Distributed Systems, Digital Innovation, Service Engineering, and Urban Informatics. As a Senior Researcher at Centro Algoritmi, he leads the Urban Computing R&D Group, focusing on Smart Cities, urban platforms, and locative services that blend digital information with physical/social settings. PhD in Computer Science (2001), Lancaster University Assistant Professor at University of Minho since [year] Senior Researcher at Centro Algoritmi Co-founder of 3 companies (2 University of Minho spin-offs) His research spans 150+ publications, including top journals (IEEE Computer, Sensors, Personal and Ubiquitous Computing) and conferences (Ubicomp, PerDis). Key areas: Smart Cities, urban platform design, pervasive computing, mobile payment systems, and public digital displays. Collaborations with Bosch Car Multimedia on soft smart mobility. Scientific Contributions : 98+ publications (h-index 12 in ResearcherID) 585+ Scopus citations (h-index 11) 1300+ Google Scholar citations (h-index 16) Leadership & Service : PI/co-PI in 9 projects (FP7, FET-OPEN, Portugal/CMU funded) 80+ Program Committee roles (Ubicomp, CHI, IEEE Transactions) Editorial Board member: RISTI and ADCAI journals General/TPC Chair of 2 international conferences Entrepreneurial Impact : Co-founded 3 companies, including 2 University of Minho spin-offs. Focus on pervasive computing and urban technology solutions.

• Numerical Analysis
• Partial Differential Equations
• Applied Mathematics
• +۱ مورد دیگر

Michael Herrmann is a Professor at the Institute for Analysis and Numerical Analysis within the Department of Mathematics and Computer Science at the University of Münster. His academic position is situated in Room 120.001 at Orléans-Ring 10, 48149 Münster, with administrative support provided by Secretary Ms. Silvia Wernke. His research focuses on Numerical Analysis and Partial Differential Equations , operating within the broader context of applied mathematics. The Institute for Analysis and Numerical Analysis at Münster conducts research in advanced mathematical methods with applications across scientific disciplines. As a faculty member in this institute, Professor Herrmann contributes to the department's research initiatives in computational mathematics and numerical methods for differential equations. The department maintains active research seminars including the Advanced Seminar Analysis PDE and Advanced Seminar in Numerics, which likely form part of his academic engagement. His administrative responsibilities include oversight of departmental activities within the numerical analysis group, working alongside colleagues in the Applied Mathematics Münster research environment. The department maintains strong connections with both theoretical and applied mathematical research communities.