جست‌وجوی استاد و پژوهشگر

Seth Polsleyمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Intelligent Systems
• Educational Technology
• +۴ مورد دیگر

Seth Polsley is an Assistant Professor in the Jeffrey S. Raikes School of Computer Science and Management at the University of Nebraska-Lincoln. His academic home resides in the School of Computing, where he bridges intelligent systems design with human-computer interaction to enhance educational and universal computing experiences. BS in Computer Engineering (2014) - University of Kansas MS (2017) & PhD (2023) in Computer Engineering - Texas A&M University His research explores: Intelligent tutoring systems Brain-computer interfaces Accessible educational technologies Machine learning for child development assessment Sketch recognition in STEM learning Recent publications demonstrate expertise in tactile learning interfaces, sketch-based developmental assessment, and equitable AI systems. Key disciplines span Human-Computer Interaction, Machine Learning, and Educational Technology. Scientific recognition includes: James Blackiston Memorial Graduate Fellowship Sigma Xi Research Award With professional experience at Lexmark International and MIT Lincoln Lab, Polsley combines practical engineering with educational innovation. His work on sketch-based tools and wearable systems addresses both technical and societal challenges in computing.

Holly Braniganمشاهده پروفایل

استاد

• Language Production
• Dialogue
• Language Development
• +۶ مورد دیگر

Holly Branigan is a Professor of Psychology of Language and Cognition at the University of Edinburgh, affiliated with the School of Philosophy, Psychology and Language Sciences. Her research focuses on language production, dialogue, child language development, and bilingualism. She holds a Personal Chair and has led numerous grants including projects on conversational alignment in children with autism, language experience effects on development, and syntactic priming in dialogue. Her teaching includes undergraduate courses on Psychology of Language and postgraduate modules on Dialogue. She supervises PhD students in topics like syntactic processing, bilingualism, and interactional linguistics. Branigan has secured over £10M in research funding from bodies like the ESRC and EU, leading projects such as 'How does language experience support language development?' (2018–2023) and 'AThEME: Advancing European Multilingual Experience' (2014–2019). Her work explores how speakers adapt language based on social context, interlocutor traits, and cognitive factors. Key achievements include a 7-year ESRC fellowship (1999–2006), and recognition for contributions to understanding syntactic processing mechanisms. She currently leads research on child language imitation in social contexts and bilingual syntactic representation.

• Machine Learning
• Reinforcement Learning
• Sample-efficient Generalization
• +۵ مورد دیگر

Dr. Yangchen Pan is a Departmental Lecturer in Machine Learning at the University of Oxford's Department of Engineering Science. His research focuses on achieving sample-efficient generalization in machine learning, particularly in settings involving distribution shifts (e.g., adversarial learning, domain adaptation) and adaptive capabilities like offline/online reinforcement learning and continual learning. He has contributed to foundational work in reinforcement learning, robustness, and risk-averse optimization. Education and Academic Background: While specific degree details are not explicitly listed, his academic trajectory includes roles at leading institutions such as the University of Alberta (PhD, 2017-2020), where he collaborated with prominent researchers like Martha White and Amir-massoud Farahmand. Additional affiliations include teaching roles at the University of Waterloo, University of Toronto, and Indiana University. Research Interests: Pan's work spans machine learning theory and applications, with emphasis on scalable algorithms for complex decision-making systems. Key areas include adversarial robustness, offline reinforcement learning, and mitigating distribution shifts in real-world deployments. His recent contributions explore risk-aware policy optimization and novel approaches to sample efficiency. Professional Service: Pan serves on the program committees of top conferences like NeurIPS, ICML, and ICLR. He has reviewed for journals including the Journal of Machine Learning Research and Transactions on Machine Learning Research. Teaching: Pan teaches advanced courses in optimization, machine learning, and AI at the University of Oxford, including C25 Optimization and AI/ML with Python. He has also taught at the University of Alberta and Indiana University. Labs/Teams: While no specific lab name is mentioned, his research is closely tied to Oxford's Engineering Science department and collaborative projects with institutions like the ZERO Institute (as seen in event leadership at IMAD2025).

Tianhao Wangمشاهده پروفایل

استادیار

• Differential Privacy
• Machine Learning Privacy
• Data Security
• +۳ مورد دیگر

Tianhao Wang is an Assistant Professor in the Department of Computer Science at the University of Virginia School of Engineering and Applied Science. His work focuses on advancing differential privacy and machine learning privacy, with particular expertise in privacy-preserving technologies for data synthesis, adversarial machine learning, and secure AI systems. His research interests span differential privacy mechanisms, secure data sharing, and mitigating privacy risks in modern AI systems. He explores how to protect sensitive information in machine learning models, synthetic data generation, and network analysis while maintaining utility. Recent work highlights include developing benchmarks for private image synthesis (DPImageBench), safeguarding text data from misuse (ExpShield), and analyzing privacy threats in pre-trained language models. His publications reflect a strong emphasis on both theoretical foundations and practical applications of privacy-preserving techniques. Dr. Wang's contributions address cutting-edge challenges in AI ethics, secure machine learning, and privacy engineering, with implications for healthcare, cybersecurity, and data-driven decision-making systems.

Christian Ehretمشاهده پروفایل

دانشیار

• Literacy
• Digital Media and Learning
• Digital Equity
• +۳ مورد دیگر

Christian Ehret is an Associate Professor in the UNC School of Education at the University of North Carolina at Chapel Hill. He holds dual affiliations in the Culture, Curriculum, and Teacher Education (CCTE) and Learning Sciences and Psychological Studies (LSPS) departments. His work focuses on the emotional dimensions of literacy, digital media, and learning in marginalized contexts such as children’s hospital schools and urban communities. Education Background: Ph.D. in Learning, Teaching, and Diversity (Vanderbilt University) M.A. in English Education (University of Georgia) B.A. in English and Comparative Literature (University of Georgia) Research Interests: Ehret investigates how digital technologies shape youth emotional well-being, community-building, and critical literacy practices. Key themes include: Affect theory in literacy education Algorithmic cultures and digital equity Design-based research for inclusive pedagogies Learning in non-traditional spaces like hospitals and youth centers His current projects examine esports communication, algorithmic literacy on social media, and hospital school educational equity. Research Trends: Recent work emphasizes postdigital play, affective geographies, and sociomaterial analyses of gaming environments. Over 12023-2024, studies increasingly focus on algorithmic awareness in TikTok (#BookTok) and narrative videogames’ pedagogical potential. Grants & Collaborations: Supported by the National Council of Teachers of English, Canada’s SSHRC, and the Fonds de Recherche du Québec. Co-editor of Reading Research Quarterly (2023-2026). Active in community partnerships with schools, libraries, and urban youth centers. Labs/Teams: Collaborates with interdisciplinary teams across education, psychology, and digital humanities. Leads research initiatives in hospital school education and post-pandemic youth methodologies.

Hélène Deaconمشاهده پروفایل

استاد

• Language and Reading Development
• Digital Literacy
• Bilingualism
• +۵ مورد دیگر

Dr. Hélène Deacon is a Professor in the Department of Psychology and Neuroscience at Dalhousie University (Faculty of Science), directing the Language and Literacy Lab. She holds a BSc (Hons.) from the University of Prince Edward Island, a DPhil from the University of Oxford (as a Rhodes Scholar), and a Postdoctoral Fellowship from the University of British Columbia. Her research focuses on reading development, digital literacy, bilingualism, and child development, with a particular emphasis on understanding how children acquire reading skills in diverse contexts. She leads a 2.5-million-dollar Partnership Grant exploring literacy in multicultural and digital environments and has been recognized as a top 2% scientist globally by Stanford University. Education: BSc (UPEI), DPhil (Oxford), PDF (UBC) Key Roles: Co-Director of Partnership Grant, Lab Director, Editorial Advisory Board Member for multiple journals Affiliations: Cross-listed at Dalhousie’s Faculty of Health Professions and IWK Health Centre’s Developmental Pediatrics Her research interests span morphological awareness, syntactic skills, prosodic sensitivity, and challenges faced by university students with reading difficulties. She collaborates globally with schools and institutions, influencing public policy and educational practices. Awards include the Royal Society of Canada’s College of New Scholars membership and the Killam Professorship. Lab & Impact: The Language and Literacy Lab (LLL) investigates reading development through studies on orthographic learning, sentence comprehension, and bilingualism. Collaborations include schools nationally and internationally, with a focus on practical applications for education and clinical settings. Teaching: Courses include Introduction to Psychology II, Development of Language and Literacy, and Special Topics in Developmental Psychology Service: Member of Dalhousie’s Human Ethics Committee, Ad Hoc Review Committee, and Honours Advisor

Chiara Bodeiمشاهده پروفایل

دانشیار

• Computer Science
• Cybersecurity
• Formal Methods
• +۴ مورد دیگر

Chiara Bodei is an Associate Professor at the Department of Computer Science, University of Pisa. She specializes in cybersecurity, formal methods, and programming languages. Her teaching responsibilities include courses such as 'Programming Fundamentals with Laboratory' and 'Security Methods and Verification' at both undergraduate and graduate levels. She has contributed to research in automotive cybersecurity, IoT security, and formal analysis of software systems. Her work emphasizes secure communication protocols, privacy policies in automotive data, and context-aware security mechanisms. She collaborates with industry and academia on projects related to software-defined vehicles and IoT security. Her research has been published in top-tier conferences and journals, focusing on practical and theoretical advancements in computer security and formal methods. Research Interests: Cybersecurity, Formal Methods, Automotive Systems Security, IoT Security, Programming Languages, Context-Aware Systems. She has co-authored numerous papers on topics such as vehicular communication security, secure automotive protocols, and privacy in IoT systems. Teaching: Bodei has taught courses like 'Fondamenti di Programmazione' (undergraduate), 'Security Methods and Verification' (graduate), and 'Language-Based Technology for Security' (master’s level) across multiple academic years. She emphasizes practical programming skills and theoretical foundations in her courses. Labs/Teams: Her work is supported by the Department of Computer Science labs at the University of Pisa, focusing on applied research in cybersecurity and formal systems.

Karim Aliمشاهده پروفایل

دانشیار

• Programming Languages
• Static Analysis
• Software Security
• +۸ مورد دیگر

Karim Ali is an Associate Professor of Computer Science at New York University Abu Dhabi (NYUAD), where he leads research in programming languages, static analysis, security, and compilers. He is affiliated with the Department of Computer Science within the College of Arts and Science. Prior to joining NYUAD, he served as an Associate Professor at the University of Alberta. His academic training includes a BSc from The American University in Cairo, and MMath and PhD degrees from the University of Waterloo, completed in 2014. BSc: The American University in Cairo MMath: University of Waterloo PhD: University of Waterloo (2014) His research focuses on making static analysis tools more practical by enhancing their scalability, precision, and usability. He investigates program analysis techniques applicable to real-world software, with applications in security, just-in-time compilation, and mobile app development. His work spans theoretical foundations and tool development, including the SWAN framework for Swift and contributions to secure cryptographic API usage through CogniCrypt. The recent publications reflect a strong trend in developer-centric static analysis, secure coding, energy efficiency in mobile apps, and compiler optimization. His work combines empirical studies with tool-building, emphasizing usability and integration into developer workflows. Scientific Awards: Dahl-Naygaard Junior Prize (2021) ACM SIGSOFT Distinguished Paper Award ACM SIGPLAN Distinguished Paper Award Distinguished Artifact Award, ECOOP 2014 Karim Ali has mentored numerous students and collaborated extensively with researchers worldwide. His lab has contributed tools adopted by major static analysis frameworks like Soot, WALA, and DOOP. He has secured research recognition through awards and industrial impact, including helping Symantec fix a security vulnerability. He teaches core courses such as Computer Systems Organization and supervises capstone projects, guiding students in original research. His lab conducts research on programming languages and static analysis, with projects including SWAN for Swift analysis, usability studies of static analysis tools, and development of precise pointer analysis techniques. The team works on both academic research and practical tooling for developers.

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +۴ مورد دیگر

Özlem Özgöbek is an Associate Professor at the Department of Computer Technology and Informatics, Norwegian University of Science and Technology (NTNU). Her research spans artificial intelligence, machine learning, and recommender systems with a focus on privacy, fake news detection, and educational technology. NTNU - Department of Computer Technology and Informatics Her work explores multimodal fake news detection, privacy implications in recommender systems, and technology-enhanced classroom interaction. Recent publications analyze digital education trends and classroom tools. Özgöbek collaborates with international researchers and contributes to news recommendation workshops. Her projects address ethical AI, environmental sustainability, and real-time information processing.

• Pedagogy
• Early Childhood Education
• Discourse Analysis
• +۷ مورد دیگر

Jarmila Bubikova-Moan is an Associate Professor at Oslo Metropolitan University, affiliated with the Faculty of Education and International Studies and the Department of Primary and Secondary Teacher Education. She holds teaching and supervising responsibilities in pedagogy and serves as Head of Studies in her area of responsibility. Prior to her current role, she was an Associate Professor and Head of Studies at Kristiania University College and a Senior Researcher at NIFU. Her educational background includes a PhD in Educational Sciences from the University of Oslo, an MA in Applied Linguistics from the University of Melbourne, and an MPhil in European Literature from the University of Cambridge. Her research centers on discourse-analytic approaches to early childhood education, with a strong focus on multilingualism, argumentation, and critical thinking. She is actively involved in research groups such as Cultural Diversity and Multilingualism in a Global Perspective and Language and Learning Environment in Early Years - ECEC to Primary School (SAMBA) . Her work explores how children develop argumentative competence, engage in critical thinking through literature and news, and how multilingual learners are supported in early education. The recent publications highlight a consistent trend in early childhood argumentation, critical thinking development, and multilingual education. Her work spans qualitative, discourse-based, and systematic review methodologies, often with interdisciplinary applications in environmental education, teacher training, and family engagement. She has contributed significantly to educational research through numerous scientific publications, research reports, and dissemination activities. Notable projects include Critical thinking in primary education (KriT) , which develops models using children’s literature and news, and evaluations of national strategies such as Språkløyper and Ungdomstrinn i utvikling . Jarmila Bubikova-Moan has supervised students and collaborated widely with researchers across Norway and internationally. She has also been involved in policy-related research and advisory roles in the Norwegian state administration, particularly in education and integration policy. Her lab and team affiliations are embedded within her research groups at OsloMet, where she leads and contributes to collaborative, interdisciplinary projects aimed at improving early educational practices and equity.

• Artificial Intelligence
• Knowledge Graphs
• Semantic Technologies
• +۵ مورد دیگر

Dr Zhe Wang is a Senior Lecturer at the School of Information and Communication Technology, Griffith University, focusing on artificial intelligence, knowledge graphs, and semantic technologies. He earned his PhD in Computer Science from Griffith University (2011) and previously worked as a Research Fellow at the University of Oxford (2011-2013) on ontology-based systems. Research: Specializes in knowledge graph construction, rule mining for explainable AI, and integrating machine learning with logical reasoning. Led development of the scalable RLvLR rule-mining system and contributed to the HermiT ontology reasoner. Teaching: Instructs undergraduate and postgraduate courses including Introduction to Artificial Intelligence, Secure Development Operations, and Software Engineering Fundamentals. Grants: Funded by Australia's Economic Accelerator Ignite Grant (2025) for AI-driven marine life survey systems and Office of National Intelligence projects (2021-2022). Publications: Active in top venues like AAAI, ICASSP, and ISWC, with recent work on temporal knowledge graph reasoning, auction design algorithms, and neurosymbolic AI systems.

Shweta Yadavمشاهده پروفایل

استادیار

• Natural Language Processing
• Healthcare Informatics
• Biomedical Text Mining
• +۳ مورد دیگر

Shweta Yadav is an Assistant Professor in the Department of Computer Science at the University of Illinois Chicago (UIC). Prior to this, she was a Bridge to the Faculty (B2F) fellow at UIC and a postdoctoral research fellow at the U.S. National Library of Medicine, NIH. She holds a Ph.D. in Computer Science from the Indian Institute of Technology Patna, India. Education: Ph.D. in Computer Science, Indian Institute of Technology Patna, India Research Interests Her research focuses on the intersection of Natural Language Processing (NLP), Healthcare Informatics, Biomedical Text Mining, and Computational Social Science. She develops machine learning algorithms to advance AI applications in healthcare, particularly in medical document summarization , disease progression modeling , and health outcome prediction using electronic health records and social media data. Her work emphasizes interdisciplinary collaboration to address real-world healthcare challenges. Recent Publications Her recent publications highlight advancements in Multimodal Mental Health Analysis , Perspective-aware Healthcare Summarization , and Biomedical Relation Extraction . She employs techniques like Transformer models , Contrastive Learning , and Attention Frameworks to tackle low-resource settings and extract insights from complex data sources.

• Digital Transformation
• Responsible Artificial Intelligence
• Foresight Methods
• +۴ مورد دیگر

Matti Minkkinen is a Docent at the Turku School of Economics (University of Turku) and a Postdoctoral Researcher in Information Systems Science at the Department of Management and Entrepreneurship. His work bridges futures studies with ethics, privacy, and socio-technical systems in digital transformation. Recent roles focus on responsible AI governance and foresight methodologies. University: University of Turku School: Turku School of Economics Department: Department of Management and Entrepreneurship His research explores how digital technologies reshape organizational practices, emphasizing Futures Consciousness as a human capacity. Key themes include responsible AI , privacy protection , and causal layered analysis in scenario planning. Publications highlight ethical governance frameworks and EU policy debates. Recent articles address generative AI ethics , ML system integration , and AI auditing across journals like Communications of the Association for Information Systems and Information and Management . Topics cluster around socio-technical systems, digital ethics, and institutional adaptation to AI. Teaching and editorial roles include co-curating student research collections at Finland Futures Research Centre. No explicit scientific awards are listed, but his work contributes to foresight theory and practice.

Leyloyan-Yekmalyan Annaمشاهده پروفایل

مدرس ارشد

• Armenian Arts
• Medieval Christian Art of the Caucasus
• Russian Art History
• +۳ مورد دیگر

Dr. Anna Leyloyan-Yekmalyan is a Senior Lecturer at the National Institute of Oriental Languages and Civilizations (INALCO) specializing in Armenian and Russian art history, with a focus on manuscript studies and cultural heritage preservation. She co-founded the academic platform Monument Watch (2020-2023) and established the independent association Hishatakaran (2023-present) to document Armenian cultural heritage under threat. Teaches Armenian art, Russian medieval art, and heritage studies at INALCO Editorial board member of Matenadarán: Medieval and Early Modern Armenian Studies Organized 15 international conferences on Armenian heritage since 2010 Her research examines Armenian manuscript illumination, Christian iconography in the Caucasus, and the challenges of preserving cultural heritage during conflict. She has published extensively on Vaspurakan book art, including a 2009 monograph on Yovannēs Xizanc’i, and contributed to exhibitions at The Met and The Walters Art Museum. Recent publications (2023-2024) analyze Azerbaijan's destruction of Armenian monuments in Artsakh and propose new frameworks for heritage protection. Her work combines art historical analysis with political advocacy, using conferences and digital platforms to raise awareness about endangered Armenian sites.

Ben Baileyمشاهده پروفایل

مدرس

• Child Development
• Developmental Disability
• Communication Disorders
• +۷ مورد دیگر

Dr Ben Bailey is a Lecturer at the University of Newcastle's School of Health Sciences , specializing in Speech Pathology and Developmental Disability research. His work focuses on leveraging Virtual Reality (VR) and Augmented Reality (AR) to enhance communication development in children with Autism Spectrum Disorder (ASD) and other neurodevelopmental conditions . Key Affiliations: University of Newcastle (2020–Present), Flinders University (2020–2023), University of Technology Sydney (2019–2020) Education: Doctor of Philosophy (University of Sydney), Bachelor of Speech Pathology (University of Newcastle) His research explores interdisciplinary practice to co-design literacy instruction and digital interventions (VR/AR) for children with Down syndrome , cerebral palsy , and ASD . Notable projects include the DISCOVR VR prototype and InterPlay AR application . He has supervised PhD and Honours students on topics like Vocabulary Development in ASD and Communication Skills in Kindergarten . Publications span telepractice literacy , eye-tracking , and cross-cultural autism studies in Indigenous Australian communities. Current Teaching: Course coordinator for Language, Literacy and Hearing and Research Review at the University of Newcastle (2024).