جست‌وجوی استاد و پژوهشگر

Jingbo Houمشاهده پروفایل

استادیار

• Emerging Digital Technologies
• Information Asymmetry
• Online Platforms
• +۵ مورد دیگر

Jingbo Hou is an Assistant Professor in the Department of Information Systems & Analytics at Santa Clara University’s Leavey School of Business. His research focuses on the societal and business implications of emerging digital technologies, addressing both micro-level challenges (e.g., online platform efficiencies) and macro-level impacts (e.g., GenAI adoption, telework adaptation). He holds a PhD in Business Administration from Arizona State University, an M.Eng from Renmin University of China, and a B.Mgmt from Sun Yat-sen University. Research Interests: Mitigating information asymmetries in online labor markets and data-sharing platforms Examining GenAI’s societal integration Telework’s role in reducing gender inequality post-disasters Social media usage patterns and misinformation mitigation Recent work has been published in Information Systems Research and Production and Operations Management . He actively leverages Meta’s Data for Good initiative for empirical analysis. Teaching focuses on Business Data Analytics and Information Systems, employing innovative pedagogical methods like simulation games and case studies. Industrial experience includes data analysis roles at Alibaba Group and AI-driven research at IPIN. Skills include Stata, Python, and R programming.

Carlos Toural Branمشاهده پروفایل

استاد

• Digital Journalism
• New Media Studies
• Media Automation
• +۳ مورد دیگر

Carlos Toural Bran is a Professor in the Department of Communication Sciences at the University of Santiago de Compostela, affiliated with the Faculty of Communication Sciences and the Institute of Studies and Development of Galicia (IDEGA). He holds a doctoral degree from the same university, with a thesis on sports information in Spanish media (2013). His research focuses on digital journalism, media automation, participatory journalism, and virtual reality in media. He has collaborated with institutions like the Ministry of Economy and Competitiveness, Spain. Research Interests: Automated content generation using AI and algorithms Mobile journalism and user participation via digital platforms Cybermedia evolution and methodology Impact of virtual reality on media ecosystems Data-driven journalism and database utilization Articles Trends: His work spans automated journalism, mobile device-driven participation, and methodological frameworks for interactivity. Recent studies include fact-checking trends, information visualization in risk communication, and the role of databases in modern journalism. Labs/Teams: Active in IDEGA and collaborates with the New Media Research Group at his university.

Murat Ulukمشاهده پروفایل

استادیار

• Interaction Design
• Digital Privacy
• Social Media
• +۴ مورد دیگر

Murat Uluk serves as an Assistant Professor at Beykent University in the Faculty of Communication, Department of New Media, and concurrently at Ostim Technical University in the Faculty of Architecture and Design, Department of Visual Communication Design. He has held academic positions since 2017, progressing from Lecturer to Doctor Lecturer in 2022 before attaining his current rank. His teaching portfolio spans Web Design, Social Media Metrics, Interaction Design, and related courses across both Turkish and English curricula. His research centers on Interaction Design and Digital Privacy, with significant contributions to understanding online surveillance, cookie usage permissions, and ethical implications of digital interfaces. Key interests include Social Media dynamics, Web Technologies, Human-Computer Interaction, Data Journalism, and Mobile Applications, often contextualized within Turkish digital landscapes and regulatory frameworks. Analysis of his 15 most recent publications reveals a dominant focus on privacy challenges in evolving web ecosystems, particularly the transition to cookie-less environments. His work consistently employs user-centered methodologies to evaluate mobile health applications, targeted advertising mechanisms, and algorithmic filter bubbles, with strong emphasis on empirical studies presented at major international communication conferences.

Viktor Schlegelمشاهده پروفایل

مدرس

• Natural Language Processing
• Artificial Intelligence
• Text Mining
• +۳ مورد دیگر

Viktor Schlegel is an Honorary Lecturer at the University of Manchester's Department of Computer Science, affiliated with the Digital Futures research beacon. He holds a Master of Science (2015-2017) and Bachelor of Science (2011-2015) from Universitat Passau, Germany. His research focuses on advancing Natural Language Processing (NLP), particularly in clinical text analysis, explainable AI, and biomedical informatics. He contributes to interdisciplinary projects like the Centre for Robotics and Artificial Intelligence (RAI) , exploring applications of AI in healthcare and cultural heritage preservation. Key collaborations include developing AI tools for community-driven cultural heritage projects and evaluating robustness of machine reading comprehension systems. His work intersects with UN Sustainable Development Goals related to Education and Innovation. While no formal student advisees are listed, his research supervision includes his own doctoral thesis on Emerging Evaluation Paradigms in Machine Reading Comprehension (2021).

• Digital heritage
• Media and communication
• Cultural data analytics
• +۴ مورد دیگر

Andres Kõnno is a Research Fellow at the Baltic Film, Media and Arts School of Tallinn University, where he has worked since 2018. His academic journey began with a Research Master's Degree (2003) and a Doctoral Degree (2016) in Media and Communication studies from the University of Tartu. His research focuses on Digital heritage reuse Cross-referencing media & cultural data Metadata modeling Media innovation in social contexts Public sector open data applications Current projects include semantic search and topic modeling for Estonian Public Broadcasting archives, funded by agencies like the Estonian Research Council and European Research Executive Agency. He has led projects such as WIRE - Widening Innovation+Research Excellence in FilmEU and Automaatse keeletöötluse rakendamine ERRi arhiivis . While no scientific awards are explicitly mentioned, his work has been supported by multiple grants exceeding 1 million EUR total funding. He supervises journalism students at BA and MA levels and contributes to curriculum development in media innovation. Andres Kõnno's expertise spans semiotics, cultural theory, and data analysis, with practical experience from roles at Baltic Media Monitoring Group (1997-2018). His publications emphasize digital humanities applications, media pluralism analysis, and cultural data interoperability.

• Political Communication
• Electoral Processes
• Disinformation and Fake News
• +۵ مورد دیگر

PAULO CARLOS LOPEZ LOPEZ is an Associate Professor in the Department of Political Science and Sociology at the University of Santiago de Compostela (Spain). He holds dual doctorates in Political Science (University of Valencia, 2023) and Communication (University of Santiago de Compostela, 2016). His academic work focuses on political communication, digital politics, electoral processes, and disinformation dynamics in Latin America and Europe. He has held visiting professorships at universities in Chile, Argentina, Portugal, and Ecuador, and has coordinated international academic workshops on political communication and technology. Lopez-Lopez is a member of the Political Research Team at USC and the XESCOM network. He has published extensively in top journals like Revista Española de Ciencia Política and Communication & Society , with over 100 indexed publications. His research explores the intersection of technology, democracy, and political behavior, particularly analyzing social media's role in shaping public opinion and election outcomes. Key topics include fake news control mechanisms, emotional polarization in digital communities, and AI-driven communication strategies. Lopez-Lopez has also contributed to public policy through roles in coalition governments and academic think tanks. Professionally, he coordinates master's programs in political communication and leads research initiatives on transparency in public broadcasting. His political engagement includes past leadership roles in Galician nationalist movements and a 2014 European parliamentary candidacy with Compromiso por Galicia. Despite stepping back from party politics in 2016, his academic work continues to address socio-political challenges in Galicia and beyond.

Anna Argyrisمشاهده پروفایل

دانشیار

• Health Informatics
• Health Communication
• Social Media Analysis
• +۳ مورد دیگر

Anna Argyris is an Associate Professor in the Department of Media & Information at Michigan State University (MSU), within the College of Arts and Sciences. Her research focuses on leveraging Information Technology to improve health decision-making, particularly addressing vaccine hesitancy and misinformation on social media. She holds a Ph.D. in Management Information Systems from the University of British Columbia. Prior to MSU, she worked as a consumer researcher at Cheil communications (Samsung’s marketing agency) and served as a visiting scholar at the Carroll School of Management, Boston College. Dr. Argyris’s work emphasizes applying AI and machine learning to counteract anti-vaccine messaging, with a focus on marginalized populations and HPV vaccination rates. Her recent studies include analyzing social media rhetoric’s impact on vaccine uptake and developing behavioral interventions to combat misinformation. Education: Ph.D. in Management Information Systems, University of British Columbia Research Interests : Dr. Argyris investigates the intersection of technology, health communication, and social media. Key areas include: Anti-vaccine discourse and its influence on maternal decisions regarding HPV vaccination Design of AI-driven interventions to counter misinformation Use of deep learning for linguistic feature analysis in health communications Cross-cultural engagement in social media marketing Her articles frequently explore vaccine hesitancy trends, leveraging computational methods to understand public discourse. She emphasizes actionable solutions for improving health outcomes through technology. No scientific awards are explicitly mentioned, but her work reflects significant contributions to public health informatics.

• 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.

INUZUKA Nobuhiroمشاهده پروفایل

استاد

• Intelligent Informatics
• Database Systems
• Theoretical Informatics
• +۵ مورد دیگر

Nobuhiro Inuzuka is a Professor in the Department of Information Engineering within the Faculty of Engineering at Nagoya Institute of Technology, specializing in intelligent informatics and data-driven applications. His research integrates theoretical informatics with practical implementations across diverse domains including social networks, robotics, and human behavior analysis. Education: Doctor of Engineering, Nagoya Institute of Technology Master of Engineering, Nagoya Institute of Technology His research focuses on intelligent informatics with emphases on machine learning for social network analysis, safe reinforcement learning, and data mining applications. Key areas include developing algorithms for community behavior modeling, martial arts evaluation systems using sensor data, and recommender systems incorporating social dynamics. His work bridges theoretical computer science with real-world implementations in counseling systems and robotics. Recent publications (2024) demonstrate consistent innovation in applying machine learning to complex human-centric problems, particularly in social network dynamics, safe robotics navigation, and evaluation systems that replicate human judgment. Trends show increasing integration of multi-relational data mining with reinforcement learning frameworks across retail analytics, sports science, and mental health informatics. Scientific Awards: 2019 JSAI National Conference Excellent Award 2013 IPSJ National Conference Student Encouragement Award 2011-2010 Information Science Workshop Awards (multiple) 1996 Tokai Branch Electrical Societies Encouragement Award Professor Inuzuka has secured significant research funding including a 4-year Grant-in-Aid for Scientific Research (C) on human relationship analysis algorithms (2015-2019) and multiple JST programs for data mining applications. His student advisees have received national recognition including the IPSJ Student Encouragement Award. Current projects focus on scientific methodology development for student counseling and knowledge discovery systems. He leads research within Nagoya Institute of Technology's Creative Engineering-Education Promotion Center, directing teams that develop data analysis systems for social networks, martial arts evaluation, and evacuation planning. His laboratory combines theoretical informatics with practical implementations using multi-relational data mining and machine learning frameworks.

• Biomedical Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۴ مورد دیگر

Hoifung Poon is General Manager at Microsoft Health Futures and affiliated faculty at University of Washington Medical School. He leads Real-World Evidence (RWE) research focusing on AI applications for precision health. Poon earned a B.S. with Distinction in Computer Science from Sun Yat-Sen University and a Ph.D. in Computer Science and Engineering from University of Washington. Specializes in biomedical AI research Focuses on structuring unstructured medical data Co-PI for DARPA Big Mechanisms projects Research strength lies in biomedical multimodal learning (text, radiology, pathology, genomics) and causal learning for real-world evidence generation. His team develops methods for LLM self-verification , multi-modal fusion , and biases correction in observational data. Publications show expertise in Nature , Nature Methods , and NEJM AI , covering topics from digital pathology to clinical text analysis. Scientific recognition includes: Best Paper Awards at NAACL, EMNLP, and UAI Winner of ACM Health Best Paper Award Named Technology Champion 2022 by Puget Sound Business Journal

Emma Torres-Romayمشاهده پروفایل

استاد

• Audiovisual Communication
• Advertising
• Digital Communication Strategies
• +۳ مورد دیگر

Emma Torres-Romay is a full-time faculty member at the University of Vigo , affiliated with the Faculty of Social Sciences and Communication and working within the Department of Audiovisual Communication and Advertising in Pontevedra. Her research focuses on audiovisual communication, advertising ethics, gender representation in media, digital transformation, and crisis communication. Academic Affiliation: Department of Audiovisual Communication and Advertising Research Group: SEPCOM (Communication for the Public Service) Key Research Areas: Digital communication strategies, gender equality in advertising, AI in media, and crisis management Her recent publications analyze the integration of artificial intelligence in advertising education, crisis communication during disasters like the Valencia DANA event, and gender representation in Spanish streaming content. She also explores the evolution of advertising strategies in response to societal challenges, including sustainability and digital ecosystems.

Recep Firat Cekinelمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Multimodal Fact-Checking
• Explainable AI
• +۷ مورد دیگر

Recep Firat Cekinel is a Turkish NLP researcher who recently obtained his Ph.D. in Computer Engineering from Middle East Technical University (METU). He spent 13 months as a visiting predoctoral researcher at the University of Tübingen and is currently a researcher on the EU-funded EXA4MIND project, where he develops NLP pipelines that convert natural language into database queries using large language models. His research focuses on responsible, scalable AI systems and bridges foundational NLP work with real-world applications. Education: Ph.D. in Computer Engineering, Middle East Technical University (METU), Türkiye Visiting Predoctoral Researcher, University of Tübingen, Germany (13 months) Research Interests: Dr. Cekinel’s work spans natural language processing , multimodal fact-checking , explainable AI , and large language models . He is particularly interested in building responsible and scalable AI systems that integrate foundational research with practical deployments, such as natural-language interfaces for high-performance computing environments. Recent Publication Trends: His 2025 publications reveal a concentrated effort on multilingual and multimodal fact-checking , satire-style debiasing , and NL-to-database-query generation . Earlier work explores graph-based event extraction , Turkish irony detection , and cultural-heritage text mining , demonstrating a trajectory from low-resource Turkish NLP toward globally applicable, responsible-AI systems. Contact & Code: Email: rfcekinel@ceng.metu.edu.tr Office: METU Computer Eng. Dept. A-206, 06800 Ankara, Turkey Phone: +90-(312)-210-5593 GitHub: firatcekinel Google Scholar: profile available

• Digital Accessibility
• E-learning Technologies
• Software Quality and Measurement
• +۵ مورد دیگر

Inés López Baldominos is a Researcher in the Department of Computer Science at the University of Alcalá (UAH), where she teaches Project Management courses across multiple Computer Engineering degree programs. She is an active member of the Tecnologías de la Información para la Formación y el Conocimiento research group, contributing to various research lines in educational technology and digital systems. Her research interests span several interconnected domains: Digital accessibility implementation and European Accessibility Directives compliance E-learning technologies, standards, and adaptive learning systems Software quality, measurement, and engineering practices Cybersecurity applications (cloud and legal aspects) Digital competencies frameworks and assessment methodologies Gamification and motivation in learning environments Data science applications for analyzing professional skills requirements From 2020-2023, López Baldominos has maintained consistent scholarly output focused on practical implementation challenges in digital accessibility, European digital competence frameworks, and soft skills development for IT professionals. Her work demonstrates a strong connection between regulatory requirements, technical implementation, and user-centered design principles in educational technology contexts. Key research contributions include: Implementation methodologies for European Accessibility Directives in professional organizations Analysis of digital competencies frameworks across European educational systems Development of data-driven approaches to match soft skills with labor market demands Investigations into the integration of accessibility as a fundamental element in educational technology López Baldominos collaborates extensively with researchers including Luis Fernández-Sanz and Vera Pospe-lova, indicating strong research partnerships. Her work bridges theoretical research with practical applications, particularly in the implementation of accessibility standards and the development of frameworks for professional skills assessment in technology fields.

Petr Hájekمشاهده پروفایل

استاد

• Machine Learning
• Neural Networks
• Fuzzy Logic
• +۷ مورد دیگر

Petr Hájek is a Professor at the University of Pardubice in the Institute of System Engineering and Informatics, Czech Republic. With 236 publications, 71,463 reads, and 5,595 citations, he has established himself as a prominent researcher in computational intelligence and machine learning applications. His research interests span multiple domains of computational intelligence, with particular focus on: Machine learning applications in financial forecasting and risk management Neural networks and fuzzy logic systems for time series prediction Sentiment analysis for financial markets and social media Fraud detection and fake news identification systems Cryptocurrency price forecasting and market analysis ESG analytics and sustainable finance applications Analysis of his recent publications (2023-2025) reveals an expanding research scope that increasingly integrates sustainability considerations with financial technology. His work demonstrates sophisticated methodological approaches, frequently employing hybrid neural network architectures, ensemble learning techniques, and advanced text mining methods. Professor Hájek's research shows strong international collaboration patterns with scholars across Europe, Asia, and North America. His scholarly contributions have focused on developing practical AI solutions for complex financial problems, with particular attention to handling class imbalance issues in financial datasets and creating interpretable models for financial decision-making. Professor Hájek maintains an active research program with consistent publication output across top venues in computational intelligence and financial technology. His work bridges theoretical advances in machine learning with practical applications in finance, demonstrating both academic rigor and real-world relevance.

• Communication Sciences
• New Media
• Social Media
• +۵ مورد دیگر

Sefer Kalaman is an Associate Professor at Ankara Yildirim Beyazit University's Faculty of Communication, Department of New Media and Communication since 2022, where he also serves as Vice Dean (2022-present) and Head of the Department of Radio, Television and Cinema (2024-present). Previously, he held academic positions at Yozgat Bozok University (2010-2019) including Research Assistant and Assistant Professor roles. His educational background includes: Ph.D. in Radio, Television and Cinema from Ege University (2016), dissertation: The Transformation of Privacy in New Media with Its Sociocultural, Economic, and Political Dimensions: The Facebook Example M.A. in Radio, Television and Cinema from Selcuk University (2011), thesis: Violation of Privacy on the Internet: Facebook B.A. in Radio, Television and Cinema from Selcuk University (2008) Dr. Kalaman's research centers on communication sciences with emphasis on digital privacy transformations, hate speech in global media, and AI applications in communication. His work critically examines sharenting on Instagram, religious hate speech in Bollywood/Hollywood, and AI-driven sentiment analysis. Recent studies increasingly focus on health literacy in digital contexts and AI-powered news verification systems, reflecting Turkey's evolving media landscape. Analysis of his 15 most recent publications (2019-2025) reveals three dominant trajectories: 1) Privacy erosion in digital environments (Facebook studies, sharenting), 2) Hate speech analysis in cinematic media (Bollywood, Hollywood), and 3) Emerging AI applications (sentiment analysis, news verification). His methodology blends qualitative cultural analysis with quantitative social media metrics, predominantly focusing on Turkish societal contexts with growing international comparative dimensions. No scientific awards are documented in the source material. Dr. Kalaman leads multiple funded projects including Algorithms and Human Communication: New Communication Paradigms with Artificial Intelligence (2025) and Digital Media and National Artificial Intelligence Language Model (2024). He previously served as executive for a documentary project on Yozgat's buffalo husbandry (2019). While no formal student advisees are listed, he has served on academic juries including the 3rd Bozok Film Festival (2024). Research infrastructure details are not specified in available materials.