جست‌وجوی استاد و پژوهشگر

Danielle R. Thomasمشاهده پروفایل

پژوهشگر

• AI-assisted human tutoring
• tutoring training
• AI in education
• +۲ مورد دیگر

Danielle R. Thomas is a Systems Scientist at the Human-Computer Interaction Institute within Carnegie Mellon University . She leads the PLUS — Personalized Learning Squared project, a hybrid human-AI tutoring initiative, and serves as Director of Research to Practice at The National Tutoring Observatory . Her research focuses on: Hybrid human-AI tutoring systems Scalable tutor assessment using LLMs Equity in AI-driven education AI-enhanced teacher training Supporting marginalized learners Recent publications highlight advancements in: LLM-based feedback mechanisms Automated tutor behavior analysis Redesigning assessment frameworks Addressing bias in AI ground truth data Expanding access for underrepresented groups Scientific recognition includes: Best Demo Award at AIED2023 Google DeepMind funding (2025) for AI tutor assessment She collaborates with Carnegie Learning, Inc. and Stanford University , and actively contributes to: Workshops on AI ethics in education International conferences (AIED, ECTEL, LAK) Public outreach via NBC News and Snapchat

James A. Grandمشاهده پروفایل

دانشیار

• Complex Dynamic Systems
• Team Functioning & Cognition
• Learning & Decision-Making
• +۴ مورد دیگر

Dr. James A. Grand is an Associate Professor in the Department of Psychology at the University of Maryland, specializing in Social, Decision, and Organizational Sciences. He holds a PhD from Michigan State University (2012), an MA (2008), and a BA (2006) from Auburn University. His research focuses on complex systems, team cognition, learning processes, and computational modeling. He has pioneered theories linking individual and team-level dynamics in healthcare, military, and organizational contexts. Education: PhD in Organizational Psychology, Michigan State University (2012) MA in Organizational Psychology, Michigan State University (2008) BA in Psychology (Summa Cum Laude), Auburn University (2006) His work emphasizes interdisciplinary approaches, integrating psychology with computer science and engineering. Key research themes include team leadership in emergency medicine, stereotype threat effects on learning, and Bayesian methodologies. He has developed computational models to study emergent processes in teams and authored influential papers on simulation-based training and team performance assessment. Dr. Grand’s recent articles explore trauma resuscitation leadership, gender equity in medical teams, and computational modeling for diversity initiatives. He actively collaborates with healthcare institutions and has contributed to training programs improving team adaptability and patient outcomes. His lab resources focus on leveraging synthetic learning environments for real-world problem-solving.

Lan Kimمشاهده پروفایل

استاد آموزشی

• Korean Linguistics
• Second Language Acquisition
• Pragmatics
• +۳ مورد دیگر

Lan Kim is an Associate Teaching Professor of Korean and Coordinator of the Korean Language Program at the Department of Asian Studies, The Pennsylvania State University. They hold a B.A. in English Language and Literature from Chung-ang University, an M.A. in Linguistics from Simon Fraser University, and a Ph.D. in Linguistics from the University of Delaware. B.A., Chung-ang University, Seoul, Korea M.A., Simon Fraser University, Canada Ph.D., University of Delaware, USA Kim’s research focuses on language acquisition, linguistics, and pedagogical approaches to teaching Korean as a second language. Key areas include pragmatic competence development in L2 learners, syntactic analysis of Korean idioms and constructions, and cross-linguistic comparisons of benefactive expressions. Their work bridges theoretical linguistics and applied language education, emphasizing practical applications in classroom settings. Recent publications explore pragmatic competence in power-differentiated interactions, syntactic structures of nominal phrases, and comparative studies of Korean and Japanese benefactive constructions. Ongoing work includes revising a book chapter on virtual exchange programs in Korean language education. No scientific awards are listed. Advising and grants sections remain underdeveloped in the provided text. Kim coordinates the Korean Language Program but no lab affiliations or specific teams are mentioned.

Dawn Hathawayمشاهده پروفایل

دانشیار

• Online Learning Design
• Teacher Technology Integration
• Digital Literacy
• +۲ مورد دیگر

Dr. Dawn Hathaway is an Associate Professor in the School of Education at George Mason University. She serves as Academic Program Co-Coordinator for Learning Technologies in Schools and specializes in Designing Digital Learning in Schools and Advanced Studies in Teaching and Learning. Her research examines: Digital learning environments for K-12 education Teacher preparation for technology integration Visual literacy and digital competencies Blended and online learning models Design-based research methodologies Dr. Hathaway's publications focus on teacher preparedness for digital instruction, particularly during crisis situations, and the development of visual literacy skills for educators. Her work emphasizes practical applications of technology infusion in K-12 settings and teacher education programs. She teaches courses in learning technologies and digital design for educational contexts.

Sven Hoffmannمشاهده پروفایل

پژوهشگر

• Augmented Reality
• Cyber-Physical Production Systems
• Knowledge and Expertise Sharing
• +۴ مورد دیگر

Sven Hoffmann is a Researcher at the Department of Business Information Systems and New Media within the Faculty of Information Systems and New Media at the University of Siegen. He has been working at the university since 2016 and is currently involved in the EU- and NRW-funded project Cyberrüsten 4.0, where he leads the preliminary development of a cyber-physical system to support machine operators during the complex process of machine setup. His work bridges academic research with practical industrial applications. Hoffmann completed his studies in Mechanical Engineering at the University of Siegen. After graduation, he worked at a medium-sized company as a process developer before returning to academia. This industry experience informs his practical approach to research problems in manufacturing contexts. Hoffmann's research focuses on the industrial application of mobile computing, particularly in the areas of augmented reality and cyber-physical production systems. His work examines how digital technologies can support knowledge and expertise sharing in manufacturing contexts, with special attention to industrial setup processes. He investigates how augmented reality can bridge spatial and temporal distances between experts and non-experts, enhance autonomy, and facilitate cooperation in production environments. His research combines ethnographic studies with design case studies to develop practical AR-based solutions for complex manufacturing challenges, with an increasing focus on knowledge management and workplace integration. Hoffmann's publication record demonstrates a consistent progression from technical implementations of AR systems to examining their broader social and organizational impacts in manufacturing settings. His recent work shows a growing emphasis on integrating emerging technologies like large language models with AR systems to address complex knowledge management challenges in industrial contexts, particularly around standards compliance and workplace training. Hoffmann collaborates extensively with researchers across multiple institutions, particularly with Thomas Ludwig, Volker Wulf, and other colleagues at the University of Siegen. He has secured funding for research projects including Cyberrüsten 4.0 and has contributed to numerous collaborative research initiatives in the field of human-computer interaction for industrial applications. He is actively involved in the PRAXLABS research group and contributes to the development of the Fab Lab Siegen, where practical applications of his research can be tested and demonstrated in real-world settings. His work represents an important bridge between theoretical human-computer interaction research and practical industrial applications, with a strong emphasis on user-centered design and real-world validation.

• Special Education
• Reflective Practice
• Education Policy
• +۲ مورد دیگر

Richard Malthouse is a Senior Lecturer at the University of East London affiliated with the Childhood & Social Care Research institute. His work bridges educational theory and professional practice across special education, reflective methodologies, and policing contexts, with recent focus on post-pandemic strategic leadership challenges. Core research domains include: Special Educational Needs Coordination : SENCo roles and Education/Health Care Plan (EHCP) management systems Reflective Practice Innovation : Feed-forward assessment techniques and accountability frameworks in teacher development Policing Education : Assessment design and reflective skill cultivation for police recruits Publication analysis reveals a clear trajectory from theoretical reflectivity foundations (2009-2015) toward context-specific strategic applications (2018-2024), particularly addressing pandemic impacts on special education systems. His interdisciplinary approach consistently connects educational theory with practical implementation across diverse professional fields.

Lauro Snidaroمشاهده پروفایل

دانشیار

• Data Fusion
• Computer Vision
• Machine Learning
• +۵ مورد دیگر

Lauro Snidaro is an Associate Professor at the Università degli Studi di Udine , Department of Mathematics and Computer Science. His research focuses on Information Fusion , Data Fusion , Autonomous Vehicles , and Context-Aware AI Systems . He co-organized the 2024 International Conference on Information Fusion (FUSION 2024) in Venice and has led NATO-funded research projects (e.g., IST-165 RTG on High-level Fusion). Research highlights include the Context-Enhanced Information Fusion book (Springer, 2016) and a widely-downloaded paper on Context-based Information Fusion . He actively collaborates with industries for autonomous vehicle data fusion and defect detection systems . Teaching includes the Intelligent Multimedia Systems course, emphasizing openFrameworks and C++ for creative programming. He advises PhD candidates and research fellows in Computer Vision and Machine Learning domains. Key contributions span multi-sensor fusion for surveillance, context-aware tracking, and AI applications in crisis computing and healthcare.

Jose Acacio De Barrosمشاهده پروفایل

استاد

• Foundations of Quantum Mechanics
• Quantum Cognition
• Physics of the Brain
• +۲ مورد دیگر

Jose Acacio De Barros is Professor and Chair of the Liberal Studies Program at San Francisco State University, with a PhD in Physics from the Brazilian Center for Research in Physics. His interdisciplinary research bridges foundations of quantum mechanics, philosophy of physics, and cognitive neuroscience. De Barros investigates quantum indistinguishability, contextual models, and neural correlates of consciousness through formal mathematical frameworks. His research program integrates quasi-set theory to address quantum non-individuality, neural oscillator models for cognitive processes, and epistemological foundations of physics education. Current work examines ontological principles in quantum theory and symmetry applications in perception, extending his foundational research on quantum contextuality and detector inefficiencies in entanglement experiments. De Barros teaches interdisciplinary courses spanning physics, mathematics, and philosophy, including Concepts of Physics and Chemistry, Mind-Body-Culture connections, and graduate seminars. His pedagogical approach emphasizes situated learning and conceptual adaptation through inquiry-based methods.

Rakib Abdurمشاهده پروفایل

دانشیار

• Formal Verification
• Model-based Testing
• Automotive Security
• +۲ مورد دیگر

Dr. Rakib Abdur is Associate Professor and Systems Security Group member at Coventry University's Institute for Future Transport and Cities, specializing in formal verification of autonomous systems. Research focuses on modeling and verifying safety/security properties in resource-constrained environments using temporal logics and model-based testing. Holds PhD in Computer Science from University of Nottingham (2011) on verifying resource-bounded agents, with prior positions at University of West of England and University of Nottingham Malaysia Campus. Current work includes developing simulation frameworks for automotive cybersecurity risk assessment and context-aware security models. Leads projects on enhanced intrusion detection systems using meta-heuristic optimization and cybersecurity roadmaps for connected infrastructure. Contributions include formal methods for analyzing qualitative/quantitative properties in safety-critical autonomous systems.

Christopher Jeschelnikمشاهده پروفایل

مدرس

• Multimodal composition
• Multimodal analysis
• Mediated dialogue
• +۳ مورد دیگر

Christopher Jeschelnik is a Lecturer at the School of Communication, Simon Fraser University, where he teaches courses in digital media communication and empirical research methods. His educational background includes: PhD student in Educational Technology & Learning Design at Simon Fraser University (2012) M.A. in School of Communication at Simon Fraser University (2010) B.A. in School of Communication at Simon Fraser University (2003) Jeschelnik's research focuses on multimodal composition and analysis, mediated dialogue, metadata and communication design, and situated pedagogical design. His work bridges theoretical frameworks with practical applications in educational technology and communication studies. He examines how different modes of communication interact and how dialogue is shaped through various media platforms. Currently teaching CMNS 226 Digital Media Communication Techniques in Summer 2025 and CMNS 201W Empirical Communication Research Methods in Fall 2025, Jeschelnik brings his research expertise into the classroom to help students develop skills in digital media production and research methodology.

Paul Boothمشاهده پروفایل

مدرس ارشد

• Second Language Acquisition
• Applied Linguistics
• Vocabulary Proficiency
• +۳ مورد دیگر

Dr. Paul Booth is a Senior Lecturer in Linguistics and Languages at Kingston University's School of Humanities. With a PhD in second language vocabulary and learning styles, he has conducted extensive research on L2 lexical development, cross-linguistic processing, and online language pedagogy through collaborations at institutions including Lyon 2 University, Grand Valley State University, and Nancy University. PhD in Linguistics (Kingston University, 2010) Senior Fellow, Higher Education Academy (2015) MA in TESOL (University of London, 1998) His research focuses on second language acquisition , particularly vocabulary development in relation to memory and analytical learning styles , cross-linguistic influences , and online language teaching methodologies . Using experimental approaches like reaction time analysis and lexical diversity metrics, Booth examines how grammatical sensitivity and language proximity affect L2 proficiency. Recent publications highlight trends in multilingual lexicon dynamics , pedagogical technology integration , and cross-cultural teacher training models . Booth's 2020 edited volume on First Language Influences consolidates global research on L2 lexical systems. He has developed international collaborative projects funded by Erasmus , focusing on educational technology for language teachers and curriculum design across the UK, China, and USA. His work appears in journals like Language Teaching and System , alongside conference presentations at BAAL and EuroSLA.

Valerie Karrمشاهده پروفایل

دانشیار

• Disability Inclusion
• International Development
• Social Policy
• +۴ مورد دیگر

Valerie Karr is an Associate Professor and Graduate Program Director at the School for Global Inclusion & Social Development at the University of Massachusetts Boston. Her work focuses on disability inclusion, international development, and social policy. She has conducted research in diverse regions including Ghana, Lebanon, Bangladesh, Iraq, and Syria, addressing topics such as refugee rights, educational equity, and humanitarian crises. Her interdisciplinary approach incorporates participatory methodologies like photovoice projects and comic-based advocacy. Research interests include disability rights in global policy frameworks, the intersection of conflict and disability, and inclusive education systems. Her publications analyze institutions like USAID, the World Bank, and UN conventions to advocate for marginalized groups. Karr has also pioneered programs such as online parent training for autism and community-based rehabilitation strategies in crisis zones. Though no awards or grants are explicitly listed, her academic leadership role and prolific publication record reflect sustained contributions to inclusive development. No advising relationships or lab affiliations are documented in the provided materials.

Nic Jamesمشاهده پروفایل

استاد

• Performance Analysis
• Sports Analytics
• Football Statistics
• +۳ مورد دیگر

Nic James serves as Professor of Sport & Exercise Science at Middlesex University's London Sports Institute within the Faculty of Science and Technology. He leads research initiatives and curriculum development for the MSc Sport Performance Analysis program, focusing on industry-aligned educational frameworks while maintaining active contracts supporting four PhD students. His research centers on Performance Analysis with specialization in statistical methodologies and innovative visual data presentation, primarily applied to football (soccer). Current work examines counterpressing tactics, goal threat modeling, and situational variables in attacking processes, building on extensive prior collaborations with England Squash, Irish Rugby Union, and the English Institute of Sport for elite athlete development. Recent publications demonstrate a clear trend toward football analytics dominance (2022-2025), with methodological innovations in expected pass turnovers and unstable game state identification. Earlier work covered squash, rugby, and DanceSport, reflecting his broad expertise in tactical analysis across diverse sports disciplines. James actively supervises doctoral researchers including Seamus Brady and Jeter Yap, while his department achieved notable success in the 2021 REF submission where impact case studies received 3*/4* ratings. His industry partnerships demonstrate practical application of research findings to elite sporting contexts. Professional engagements include curriculum development for the MSc Sport Performance Analysis, examining all related modules, and translating research into industry-ready educational frameworks that meet evolving sector demands.

• Sport Performance Analysis
• Curriculum Development
• Sports Technology
• +۳ مورد دیگر

Dr. Nimai Parmar is an Associate Professor in Sport Performance Analysis at Middlesex University's London Sports Institute. He leads the MSc Sport Performance Analysis program and oversees postgraduate sports education both on-campus and online. With extensive international curriculum development experience across 5+ countries, Parmar focuses on advancing sport analytics through innovative EDI mentorship programs and industry partnerships with Olympic/Paralympic teams and governing bodies. His research emphasizes tactical analysis in football, rugby, and handball, while his leadership roles include Executive Committee membership with the International Society of Performance Analysis of Sport (ISPAS). Education: PhD in Sport Performance Analysis (Middlesex University, 2017). Professional roles include external examinations at Worcester University and Cardiff Metropolitan University, plus consultancy with professional sports organizations. Active in international conferences, having edited 3 conference proceedings books. Research interests span performance indicators development, tactical game analysis, and workforce diversity in sports analytics. Supervised 8 current PhD students and 11 completed postgraduate research projects. Recognized for contributions to international accreditation frameworks and sports technology integration.

Maria J Archeمشاهده پروفایل

استاد

• Linguistics
• Syntax-Semantics Interface
• Second Language Acquisition
• +۳ مورد دیگر

Maria J. Arche is a Professor of Linguistics & Spanish at the University of Greenwich, serving as Deputy Director of the Institute of Inclusive Communities and Environments and Lead of the Centre for Research in Language and Heritage (CREL). She holds a PhD in Theoretical Linguistics & Language Acquisition from Universitat Autònoma de Barcelona with supervisory input from UCLA and UAM. Her interdisciplinary research examines the syntax-semantics interface with focus on tense, aspect, argument structure and copular verbs across Spanish grammar, acquisition, and crosslinguistic variation. Dr. Arche pioneered initiatives addressing language difficulties through the ATLAS Manifesto and chairs the EU COST Action Justice to Youth Language Needs. Her work integrates linguistic theory with applications in education and justice systems. Her publication trends demonstrate consistent focus on: L2 acquisition mechanisms, crosslinguistic comparisons of grammatical structures, theoretical analyses of aspectual phenomena, and innovative methodologies in experimental linguistics. Research emphasizes Spanish morphosyntax within broader typological contexts. Awards & Recognition: Fellow, Institute of Advanced Study (NIAS) of the Royal Netherlands Academy of Arts and Sciences (2021-2022, 2024)