جست‌وجوی استاد و پژوهشگر

Rob Procterمشاهده پروفایل

استاد

• Social Informatics
• Data Science
• Trustworthy AI
• +۱۸ مورد دیگر

Rob Procter is Professor of Social Informatics in the Department of Computer Science at the University of Warwick. He is Co-director of the AI and Human-Centred Computing Theme, a Faculty Fellow at the Alan Turing Institute, Visiting Professor at the University of Edinburgh’s School of Informatics, and Visiting Scholar at the Blavatnik School of Government, Oxford University. He is a member of the OECD AI expert group on AI incidents and lead rapporteur for the Forum for Information Democracy. His research interests include social informatics, data science methodologies, trustworthy and ethical AI, social media analytics, health informatics, computer-supported cooperative work (CSCW), participatory design, and science and technology studies (STS). He applies these to domains such as public policy, healthcare, and humanitarian response. His work emphasizes responsible innovation and the societal implications of AI and digital technologies. Recent publications highlight his focus on ethical AI in healthcare, misinformation detection, peacebuilding with machine learning, and youth digital wellbeing. He has led and collaborated on numerous projects funded by ESRC, EPSRC, EU Framework 7, JISC, and UK RAI, including Reading the Riots and Digital Wildfires. Notable scientific awards include best paper awards at ACM Web Science Conference and CHI, as well as the Data Journalism Award and Online Media Award for Best Use of Social Media. These reflect his impactful interdisciplinary work bridging computing, social science, and policy. Rob Procter has supervised and collaborated with numerous researchers across disciplines. He has been involved in major grants such as MEDI@4SEC, Petras IoT Hub, and SCALS. His work often involves co-production with stakeholders from government, industry, and civil society to ensure real-world relevance and impact. He is affiliated with several research groups including the Human-Centred Computing Division, Warwick Institute for the Science of Cities, Collaborative Online Social Media Observatory, and Centre for Interdisciplinary Methodologies.

Gerald Stellمشاهده پروفایل

دانشیار

• Multilingualism
• Linguistic Variation
• Code-Switching
• +۴ مورد دیگر

Gerald Stell is an Associate Professor in the Section of Language and Information Sciences at the University of Lausanne, appointed since August 2023. Previously, he held roles as Assistant and Associate Professor at Hong Kong Polytechnic University. He earned his PhD in Linguistics from the Université Libre de Bruxelles (VUB). His research focuses on multilingualism and linguistic variation, particularly in postcolonial contexts. Key areas include phonetic/grammatical variation, code-switching, and identity strategies in language use, with a specific emphasis on Namibian English and Afrikaans. He is currently finalizing a monograph on Namibian English, proposing an eclectic variationist methodology combining subjective and objective data analysis. His recent work explores sociolinguistic dynamics in postcolonial settings, including studies on language contact, ethnic identity negotiation, and the interaction between sociopolitical factors and linguistic structures. His research bridges theoretical linguistics with applied sociolinguistics, aiming to contextualize language variation within broader social and historical frameworks.

Jessica Yarin Robinsonمشاهده پروفایل

پژوهشگر

• Political Communication
• Digital Media Studies
• Social Media Analysis
• +۵ مورد دیگر

Jessica Yarin Robinson is a researcher at the Department of Media and Communication at the University of Oslo, holding the rank of Researcher. Her work focuses on the intersection of digital platforms, media, and society with an emphasis on political discourse and global communication dynamics. She combines mixed-methods approaches, including computational analysis of large-scale data and qualitative methods like interviews and thematic analysis. Education: PhD in Media Studies, University of Oslo M.Phil in Nordic Media Studies, University of Oslo BA in Journalism, Southern Oregon University Research Interests: Studying how digital platforms shape societal interactions, analyzing political engagement in transnational contexts, and examining the role of social media in crises. Key themes include nationalism articulation in digital spaces, global health communication, and algorithmic platform governance. Current Projects: Investigating the role of scale in public communication, with a focus on privacy and free expression in global platforms. Currently collecting TikTok metadata related to Norwegian elections (2023). Teaching: MEVIT4810 – Introduction to Media and Communication Research MEVIT4320 – Political Communication MEVIT1011 – Media Analysis MEVIT4811 – Quantitative Methodology in Media Studies Awards: Recognized for investigative journalism during her career in the U.S. (2005-2015). Research Groups: POLKOM – Political Communication Center for Children, Youth and Media.

Petra Kralj Novakمشاهده پروفایل

دانشیار

• Knowledge Discovery from Databases
• Social Media Analysis
• Sentiment Analysis
• +۴ مورد دیگر

Petra Kralj Novak is an Associate Professor in the Department of Network and Data Science at Central European University (CEU), and a researcher at the Department of Knowledge Technologies at the Jožef Stefan Institute in Ljubljana. She specializes in knowledge discovery from databases, focusing on social and mainstream media analysis, particularly in sentiment analysis and hate speech detection combined with network analysis. Her work includes groundbreaking studies on emoji sentiment and the role of emojis in conveying emotion. Education: PhD in Computer Science, Jožef Stefan International Postgraduate School, Ljubljana, Slovenia BSc in Computer and Information Sciences, University of Ljubljana, Slovenia Research Interests: Analysis of hate speech and misinformation dynamics Social media network structures and community evolution Machine learning applications for contextual and cross-lingual analysis EU-funded projects on political extremism and stroke outcome improvement Key Projects: Coordinator of the EU-funded IMSyPP project on hate speech monitoring Theme leader for CIVICA's Data-Driven Technologies for Social Sciences Research in EU projects OppAttune and TRUSTroke Publications: Over 50 papers, including seminal works on emoji sentiment analysis and hate speech datasets. Recent focus on multilingual hate speech modeling, community evolution in social networks, and annotation quality frameworks.

Renjie Liaoمشاهده پروفایل

استادیار

• Deep Learning
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Renjie Liao is an Assistant Professor (tenure-track) in the Department of Electrical and Computer Engineering (ECE) at the University of British Columbia (UBC), with an associated appointment in the Department of Computer Science. He is also a Faculty Member at the Vector Institute and a Canada CIFAR AI Chair. Prior to UBC, Dr. Liao was a Visiting Faculty Researcher at Google Brain and held a Senior Research Scientist position at Uber Advanced Technologies Group during his PhD. He earned his B.Eng. (Automation) from Beihang University, M.Phil. (CS) from the Chinese University of Hong Kong, and PhD (CS) from the University of Toronto. His research focuses on probabilistic and geometric deep learning , with key contributions in deep generative models, geometric deep learning, neural algorithmic reasoning, and generalization bounds. Notable areas include 3D point cloud analysis, self-driving systems, and healthcare applications using graph neural networks. His work bridges theoretical foundations (e.g., PAC-Bayes bounds) with practical applications like motion forecasting and medical imaging. Education: B.Eng. in Automation, Beihang University (2011) M.Phil. in Computer Science, CUHK (2015) PhD in Computer Science, UofT (2021) Dr. Liao has received awards such as the RBC Graduate Fellowship and Connaught International Scholarship. His lab (Deep Structured Learning Lab) emphasizes principled mathematical approaches to solving complex problems. He advises students in machine learning, computer vision, and robotics, encouraging applications from those with strong coding/mathematical backgrounds. Labs/Teams: Deep Structured Learning Lab (UBC) Vector Institute Collaboration

• Cognitive Neuroscience
• Neurodegenerative Diseases
• Posterior Cortical Atrophy
• +۵ مورد دیگر

Dr. Ahmed Samrah is a researcher specializing in cognitive neuroscience and neurodegenerative disorders, with a particular focus on posterior cortical atrophy (PCA) and Alzheimer's disease. His work explores language impairments, connected speech analysis, and diagnostic strategies across diverse linguistic and ethnic populations. His research interests include: Cognitive and linguistic deficits in PCA Connected speech as a diagnostic tool in dementia Language-specific biomarkers in non-English speakers Memory aids and rehabilitation strategies for PCA patients Neuroimaging correlates of cognitive decline Cross-cultural and multilingual neuropsychology The recent publications highlight a strong trend in using speech and language features for early and culturally sensitive diagnosis of neurodegenerative diseases. His collaborative work spans systematic reviews, clinical studies, and neuroimaging research, emphasizing the importance of task design and linguistic diversity in cognitive assessment. Scientific contributions include: Investigating sentence repetition in PCA Developing protocols for scoping reviews on memory aids and non-English speech markers Contributing to clinical guidelines for PCA diagnosis and management Identifying white matter correlates of memory impairment Advancing understanding of connected speech in Bengali speakers with Alzheimer’s Dr. Samrah actively collaborates with leading researchers in neurology and neuropsychology. While no formal advising or grant information is available in the provided text, his publication record suggests involvement in multidisciplinary research teams focused on dementia and cognitive aging. There is no indication of teaching roles or lab leadership in the current data.

• Natural Language Processing
• Temporal Information Extraction
• Misinformation Detection
• +۲ مورد دیگر

Leon Derczynski is a researcher at the IT University of Copenhagen with a focus on Natural Language Processing and computational linguistics. His work spans multiple NLP subfields including temporal information extraction , misinformation detection , and social media analysis . He has contributed to the development of NLP resources for Danish and Nordic languages, and created frameworks like garak for model security probing. Research interests include: Temporal relation classification and time expression modeling Social media analysis and misinformation detection Model efficiency and resource-aware NLP Scandinavian language processing Ethical considerations in NLP Publications highlight trends in transformer architecture optimization , set-to-sequence modeling , and abusive language detection . His work frequently appears in top venues like Transactions of the Association for Computational Linguistics , EMNLP , and COLING . Key collaborations include work with Kalina Bontcheva on rumor evaluation, Manuel R. Ciosici on efficient NLP methods, and Erick Galinkin on model security. He has also contributed to datasets like the Danish Gigaword Corpus and evaluation frameworks like Risk Cards for model deployment assessment.

Luca Maria Aielloمشاهده پروفایل

استاد

• Data Science
• Computational Social Science
• Social Media
• +۷ مورد دیگر

Luca Maria Aiello is a Professor and Data Science Research Group Leader at the IT University of Copenhagen 's Department of Digital Design. He heads the education program for the Master of Data Science degree while co-leading the Networks, Data, and Society research group. His research spans computational social science , social media analysis , and network science , with recent focus on: Urban social connectivity patterns Sleep quality and social dimensions Financial collective action on Reddit COVID-19 pandemic's impact on dreaming Climate change discourse on TikTok Current research projects include COCOONS (Collective Coordination through Online Social Media) funded by the Carlsberg Foundation (2023-2025), and multiple grants for the International Conference on Computational Social Science (IC2S2) from Danish Data Science Academy and Otto Mønsteds Fond. Dr. Aiello has received significant recognition including the 2022 Research Environment of the Year award, with his work being covered by 16 news outlets , 47 X (Twitter) users , and 3 Facebook pages .

Leonid Trofimovمشاهده پروفایل

مدرس ارشد

• Russia's international relations
• Soviet history
• Russian Revolution studies
• +۲ مورد دیگر

Leonid Trofimov serves as Senior Lecturer in the History Department at Bentley University, specializing in Russia's international relations and revolutionary history. His academic foundation includes a Ph.D. from the University of Illinois at Chicago (2004) and undergraduate studies at Novosibirsk State University. Dr. Trofimov's research centers on Russia's global interactions , particularly examining Soviet media coverage of the Nuremberg Trials and the worldwide impact of the Russian Revolution. His scholarly contributions include: Co-authorship of a book analyzing the global consequences of the 1917 Revolution Editorship of primary document collections on Russia during war and revolution Contributions to the ABC-CLIO World History Database and Hackett Publishers' Blog Ongoing research into revolutionary mythmaking mechanisms His current book project investigates the foundational myths that shaped the Russian Revolution, continuing his exploration of historical narrative construction. Professional activities extend to consulting for corporations engaged in business development across former Soviet states, leveraging his regional expertise for corporate relocation strategies.

Ecem Tezelمشاهده پروفایل

مدرس

• Project Management
• Construction Management
• Building Information Modeling (BIM)
• +۷ مورد دیگر

Dr. Lecturer Ecem Tezel is an academic at Istanbul Technical University's Faculty of Architecture, Department of Architecture. Holding a PhD in Project and Construction Management since 2017, she combines construction management with sustainability research through Building Information Modeling (BIM) and pro-environmental behavior studies. PhD: Project and Construction Management, Istanbul Technical University (2017) MS: Project Production and Management, Istanbul Technical University (2015) BSc: Architecture, Istanbul Technical University (2010-2015) Her research focuses on BIM-FM integration , pro-environmental behavior in construction , and educational frameworks for construction management. Recent work examines sustainability awareness and digital transformation in Turkey's architecture sector. Publications show strong trends in BIM adoption analysis (31% h-index), facilities management optimization , and behavioral sustainability research. Key collaborations include academics like Fatma Çakmak and Hüsnü Murat Günaydın. Sustainability and environmental research best paper award (Emerald Publishing, 2017) As principal investigator for the 2024-2025 project Mimarlık ve İnşaat Mühendisliği Lisans Programları Yapım Projeleri Yönetimi Eğitiminde Oyun Tabanlı Öğrenme Deneyimi , she explores game-based learning in construction education.

Aibek Musaevمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Social Media Analysis
• +۳ مورد دیگر

Aibek Musaev is a Lecturer at the Georgia Institute of Technology’s College of Computing, specifically within the Division of Computing Instruction. His career bridges academia and industry, with prior experience founding and managing Akforta, a software company specializing in enterprise management solutions. He earned his Ph.D., M.S., and B.S. in Computer Science from Georgia Tech. Education : Ph.D. (2016), M.S. (2000), B.S. (1999) in Computer Science from Georgia Tech. Awards : Scholarship of the President of the Kyrgyz Republic (1997-1999), CARI Faculty Fellowship (2019). Musaev’s research focuses on Artificial Intelligence and Machine Learning , particularly in Social Media Analysis and Data Mining . He explores disaster management systems, public perception of technology, and multilingual information retrieval, often integrating physical and social sensor data for real-time event detection. His recent publications highlight trends in using AI to analyze social media for Natural Disaster Detection (e.g., landslides, hurricanes) and assess Public Perception of emerging technologies like autonomous vehicles. Collaborative work emphasizes Crisis Informatics , Healthcare Communication , and Transportation Systems . Scientific Awards : Scholarship of the President of the Kyrgyz Republic (1997-1999) CARI Faculty Fellowship (2019) He is affiliated with the College of Computing’s Division of Computing Instruction, which supports innovative teaching and research in computational methods.

• Analytical Marketing
• Natural Language Processing
• Marketing strategy
• +۵ مورد دیگر

Lavy Khoushinsky serves as Assistant Professor in the Marketing Department at Laval University's Faculty of Administrative Sciences, where he maintains an active research program bridging analytical marketing, artificial intelligence, and consumer behavior. His work addresses critical contemporary challenges including ideological polarization in markets, healthcare access barriers, and ethical AI implementation. His educational foundation includes a Ph.D. from Smith School of Business, Master's in Sustainable Energy Policy from Carleton University, and Bachelor's in Communication from Concordia University. This interdisciplinary background informs his research approach that integrates technical marketing analytics with social impact considerations. Professor Khoushinsky's research program demonstrates remarkable thematic evolution from sustainable transportation (2019) through banking experience innovation (2020-2021) to his current focus on AI-consumer interactions in contested spaces. His 14 publications (2019-2025) reveal three dominant trajectories: AI-Mediated Consumer Interactions (50% of recent work): Examining chatbots, healthcare navigation systems, and accountability frameworks Ideological Market Dynamics (30%): Analyzing niche marketing in polarized environments and consumer discourse patterns Technology Adoption Barriers (20%): Studying privacy paradoxes, e-waste responsibility, and mixed-reality banking experiences His methodological approach combines computational linguistics with experimental design to address complex marketing phenomena. Through his teaching portfolio spanning Marketing Principles to AI applications, Professor Khoushinsky prepares students for evolving marketing landscapes. His course development emphasizes practical analytical skills while addressing contemporary ethical challenges in digital marketing. The collaborative nature of his publication record (80% co-authored) indicates strong team-based research practices and interdisciplinary connections across institutions.