جست‌وجوی استاد و پژوهشگر

Yan Wangمشاهده پروفایل

استاد

• Trust Management
• Recommender Systems
• Social Networks
• +۷ مورد دیگر

Yan Wang is a Full Professor in the School of Computing at Macquarie University, Australia. He obtained his PhD from Harbin Institute of Technology (HIT), China, and has been at Macquarie since 2003 following a postdoctoral fellowship at the National University of Singapore. His research focuses on trust management, recommender systems, social networks, and services computing, with a strong emphasis on applications in cyber security and data analytics. Wang has published extensively in top-tier venues like AAAI, IJCAI, and IEEE Transactions, and has led over 25 research projects, including current initiatives like Trust-Oriented Data Analytics in Online Social Networks (DP230100676) and Combating Fake News on Social Media (2020–2023). He has received prestigious awards such as the IEEE TCSVC Outstanding Service Award (2017) and the Vice-Chancellor’s Excellence in Research Supervision Award (2014). He serves on editorial boards of journals like IEEE Transactions on Services Computing and has organized major conferences including IEEE ATC2013 and IEEE CLOUD2017. His work bridges theoretical advancements in machine learning and practical challenges in social computing, edge computing, and federated learning. Affiliations: School of Computing, Data Horizons Research Centre, Frontier AI Research Centre Key Projects: Trust-Oriented Data Analytics in Online Social Networks (2023–2026) Combating Fake News on Social Media (2020–2023) Research Themes: Recommender systems, graph learning, fake news detection, and trust management in distributed systems. Wang’s recent work explores causal representation learning, cross-domain recommendations, and privacy-preserving techniques in edge computing environments.

• Special Education
• Reading Comprehension
• Digital Learning Environments
• +۲ مورد دیگر

Natalia Latini is a postdoctoral fellow at the Department of Education , University of Oslo, Norway. Her research focuses on reading comprehension , digital learning environments , and special education with an emphasis on specific learning disabilities. She actively contributes to research groups like Development, Equity, and Literacy in Learning Contexts (DEAL) , and projects including CrossREAD (Reading across mediums, devices, and contexts) . Education: Ph.D., Department of Education, University of Oslo (2022) Master in Special Education, Specific Learning Disabilities, University of Oslo (2017) Bachelor in Special Education, University of Oslo (2015) Psychology, year unit, University of Oslo (2012) Her research investigates how digital reading impacts comprehension, with a focus on multimedia integration , media multitasking , and self-efficacy in academic writing . She utilizes methodologies like eye-tracking and verbal protocols to analyze behavioral engagement and cognitive processing across mediums. Recent studies examine belief bias in adolescents and the role of main idea summarization in multiple-document comprehension. Key collaborations include work with researchers such as Ivar Bråten , Ymkje Elisabeth Haverkamp , and Helge Ivar Strømsø . Her publications span journals like Journal of Research in Reading , Literacy Research and Instruction , and Contemporary Educational Psychology . Natalia's research contributes to understanding how technology-mediated learning affects educational outcomes, particularly for individuals with learning challenges. She explores the interplay of screen size , text movement , and media multitasking on comprehension and motivation, offering insights for adaptive teaching strategies in digital contexts.

• Machine Learning
• Deep Learning
• Predictive Maintenance
• +۳ مورد دیگر

Peyman Mashhadi is a Senior Lecturer at the School of Information Technology , Halmstad University. His research focuses on machine learning applications in predictive maintenance, automotive systems, and computational optimization. Position: Senior Lecturer University: Halmstad University Email: peyman.mashhadi@hh.se His work spans machine learning , deep learning , and predictive maintenance , with a particular emphasis on feature selection , optimization algorithms , and automotive diagnostics . He has contributed to multitask learning, domain adaptation, and industrial applications of neural networks. Recent publications highlight trends in automotive engineering (battery health estimation, turbocharger diagnostics), computational methods (genetic algorithms, metaheuristics), and machine learning (stochastic optimization, transfer learning). Key themes include robustness in predictive models and cross-domain adaptability. Contact details: peyman.mashhadi@hh.se

Selim Başoğluمشاهده پروفایل

پژوهشگر

• Media Psychology
• Time Studies
• Media Multitasking
• +۳ مورد دیگر

Selim Başoğlu is a Researcher and doctoral candidate affiliated with the Center for Media, Communication, and Information Research (ZeMKI) at the University of Bremen since April 2024. He concurrently serves as a visiting scholar at the University of Oslo's Psychological Institute (since June 2023) and teaches introductory courses at the University of Bremen. His research focuses on mediated time, time studies, and media psychology, particularly examining the intersection of media consumption and temporal experiences. Education: Bachelor's degrees in New Media and Psychology (2021) from Kadir Has University, with a minor in Political Science and Public Administration Master's in Digital Media and Society (University of Bremen), thesis: 'Media Multitasking and the Experience/Construction of Time' His sole listed publication (2023) explores socio-economic factors influencing relationship satisfaction through mediation analysis. While currently no awards or grants are explicitly mentioned, he has participated in multiple research projects and held roles as a student assistant at ZeMKI and other labs. He contributes to interdisciplinary teams investigating digital media's societal impacts.

Shuo Yuمشاهده پروفایل

استادیار

• Health Analytics
• Interpretable Deep Learning
• Text Mining
• +۴ مورد دیگر

Shuo Yu is an Assistant Professor of Information Systems and Quantitative Sciences at the Rawls College of Business, Texas Tech University, and serves as the Wetherbe Professor in Management Information Systems. He directs the MIS Doctoral Program and teaches courses such as Big Data Security, Information Security, and Data Analytics Tools. Yu holds a PhD from the University of Arizona (Management Information Systems) and a BBA from Tsinghua University (Information Management). His research focuses on data science applications in healthcare analytics, cybersecurity, and e-commerce. Key areas include interpretable deep learning, text mining, and mobile health technologies. Notable projects include SilverLink, a smart home monitoring system for senior care using wearable sensors and machine learning. Yu’s publications span journals like MIS Quarterly and IEEE Transactions, emphasizing innovations in health profiling, fall prevention, and recommendation systems. His work integrates techniques such as Hidden Markov Models, Generative Adversarial Networks, and Bayesian networks. No scientific awards are listed. He is actively involved in advising doctoral students and contributes to the Association for Information Systems (AIS).

• Political Communication
• Digital Media
• Misinformation
• +۳ مورد دیگر

Leticia Bode is a Professor in the Communication, Culture, and Technology master’s program at Georgetown University , where she serves as the inaugural Research Director of the Knight-Georgetown Institute . Her academic work focuses on the intersection of communication, technology, and political behavior, with a particular emphasis on how information technologies shape political information acquisition and use. PhD in Political Science from the University of Wisconsin-Madison Bachelor’s degree in Political Science from Trinity University Her research explores topics including incidental exposure to political information on social media, the effects of political comedy, social media use by political elites, selective exposure dynamics, and evolving political socialization in digital environments. Her publications appear in journals such as the Journal of Communication , New Media and Society , and Information, Communication, and Society . Recent work trends highlight her focus on misinformation correction strategies, news literacy interventions, and social media's role in health/political discourse. She contributes to editorial boards of Journal of Information Technology and Politics and Social Media + Society , and maintains active digital engagement via Twitter and Bluesky.

David Bickhamمشاهده پروفایل

پژوهشگر

• Children and Media
• Health Communication
• Pediatrics
• +۷ مورد دیگر

David Bickham is a health communication researcher at Boston Children's Hospital, where he serves as an Instructor of Pediatrics in the Division of Adolescent Medicine and as a Research Scientist at the Center on Media and Child Health (CMCH). His work focuses on the impact of media on children’s physical, psychological, and social well-being. Research Interests: Dr. Bickham investigates how digital media influences adolescent health, particularly in areas such as obesity, mental health, and risky behaviors. His research spans media literacy, digital food advertising, problematic media use, and the interplay between screen time and depression or anxiety. He employs both quantitative and qualitative methods to understand the context, content, and form of media exposure. Publication Trends: His recent publications reflect a strong focus on social media, mental health, and behavioral interventions in youth. Themes include internet addiction, media reduction strategies, and the psychological effects of digital media, often using cohort studies and clinical samples. Scientific Awards: No awards mentioned in the text. Advising and Grants: While specific students or grants are not listed, Dr. Bickham leads and contributes to multiple research initiatives related to media and child health, suggesting active involvement in mentoring and project leadership. His work often involves school-based and clinical interventions. Labs and Teams: He is a key member of the Center on Media and Child Health (CMCH) at Boston Children’s Hospital, a multidisciplinary research group dedicated to studying the effects of media on children and families.

• Digital Economy
• Social Welfare
• Consumer Behavior
• +۶ مورد دیگر

Dr. Shaobo (Kevin) Li is a Tenured Associate Professor at the School of Business, Southern University of Science and Technology (SUSTech), with secondary appointment in the Department of Information Systems & Management Engineering. He holds a PhD in Business Administration from Nanyang Technological University (2019), Master of Business Administration (University of Virginia, 2014), Master of Finance (West Virginia University, 2012), and Bachelor of Business Administration (Lanzhou University, 2011). National High-Level Youth Talent Program awardee Overseas High-Caliber Personnel in Shenzhen City Recipient of 2018 China Scholarship Council’s Excellent Self-Funded Student Scholarship His research focuses on the intersection of digital economy, social welfare, and technology-driven marketing, employing experimental methods, empirical models, and neuroscience. He serves as Associate Editor for the Journal of Business Research and has published in top UTD-24 journals including Journal of Consumer Research, Information Systems Research, and Production and Operations Management. His work examines platform economics, brand management during crises, and consumer behavior related to AI, sustainability, and health decisions. He has led 10+ research projects (National Natural Science Foundation, Ministry of Science and Technology 2030 Program) and received multiple research awards, including Academy of Marketing Science Best Doctoral Dissertation Proposal Award (2019) and Best Paper Awards at China Marketing Science (2020,2024), China Marketing International Conference (2023), and CMAU Annual Conference (2023,2024). Teaching accolades include SUSTech’s Premier Teaching Award, Top 10 Most Popular Professor among undergraduates, and Nanyang Business School’s Best Graduate Teaching Award (2017). Teaches Financial Marketing (undergraduate) Teaches Frontiers of Management & Research Methods (PhD) Actively recruiting research assistants, postdocs, and joint PhD candidates with Hong Kong Polytechnic University

Ymkje Elisabeth Haverkampمشاهده پروفایل

پژوهشگر ارشد

• Digital Literacy
• Quantitative Research Methods
• Reading Comprehension
• +۳ مورد دیگر

Ymkje Elisabeth Haverkamp is a Doctoral Research Fellow at the Department of Education , University of Oslo (UiO), specializing in digital literacy, reading comprehension, and quantitative research methods. She is affiliated with the research groups DEAL (Development, Equity, and Literacy in Learning Contexts) and projects like CrossREAD (Reading across mediums, devices, and contexts). Education: MSc in Assessment, Measurement, and Evaluation (2020, UiO); BSc in Psychology (2018, Leiden University). Her research focuses on digital reading behaviors, multitasking effects on comprehension, and self-efficacy in academic writing. She investigates how screen size, text movement, and prior knowledge influence learning outcomes, particularly in multidocument contexts. Recent publications highlight trends in digital literacy, behavioral engagement, and cognitive strategies. Her work employs quantitative methodologies to analyze how learners process conflicting texts, integrate information, and adapt to dynamic digital environments. Contact: y.e.haverkamp@iped.uio.no | Room 574 | Phone: +47 22858130

Gloria Markمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Multitasking
• Digital Media Use
• +۵ مورد دیگر

Gloria Mark is a Chancellor's Professor in the Department of Informatics at the University of California, Irvine. Her research focuses on human-computer interaction (HCI), examining how technology impacts multitasking, attention, mood, and stress in daily life. She employs real-world, sensor-based studies to analyze digital media use and its effects on productivity and well-being. Her work spans domains like workplace efficiency, social media dynamics, and crisis response through technology. Mark's research emphasizes collaborative resilience in disrupted environments, such as natural disasters or conflicts, studying how Web 2.0 tools aid recovery. She has pioneered studies on interruption costs, demonstrating that while tasks are completed faster when interrupted, stress levels rise. Her findings have influenced policies on remote work and digital detox practices. Education: Ph.D. (assumed from title). Awards: SIGCHI Best Paper Award (2014), multiple Honorable Mentions for Best Paper in ACM conferences. Advising: Supervised 13 Ph.D. students and researchers, including Yiran Wang and Bryan Semaan. Mark has authored a popular book, Attention Span , and frequently engages with media to discuss digital distraction and productivity. Her lab's Tesserae Project conducts large-scale studies on information workers using multimodal sensing.

Ravin Balakrishnanمشاهده پروفایل

استاد

• Human-Computer Interaction
• Interactive Computer Graphics
• Information and Communications Technology for Development
• +۳ مورد دیگر

Ravin Balakrishnan is a Professor in the Department of Computer Science at the University of Toronto, where he co-directs the Dynamic Graphics Project (DGP) laboratory. He served as department chair from 2015-2019 and holds a Canada Research Chair in Human-Computer Interaction. His research focuses on developing novel interaction techniques for emerging technologies. His primary research interests include: Human-Computer Interaction (HCI) with emphasis on gesture recognition and tangible interfaces Interactive computer graphics and 3D interaction techniques Information and communications technology for developing regions Novel input devices and interaction paradigms for VR/AR systems Balakrishnan's recent publications demonstrate strong focus on multimodal interaction systems, with recurring themes in haptic feedback, gesture-based controls, VR/AR interfaces, and mobile interaction techniques. His work frequently bridges theoretical models with practical applications in real-world systems. His significant honors include: Elected to ACM CHI Academy (2011) Alfred P. Sloan Research Fellowship (2007) Canadian Human Computer Communications Society Achievement Award (2020) Multiple best paper awards at top HCI conferences (CHI, UIST, CSCW) Balakrishnan has advised over 40 graduate students and postdoctoral fellows, maintaining an active research group at the Dynamic Graphics Project lab. His work has been supported by grants from NSERC, SSHRC, and industrial partners, with research commercialized through several startups including Bump Technologies (acquired by Google). He collaborates internationally with research labs including Microsoft Research, INRIA, and Mitsubishi Electric Research Laboratories, and has served as program chair for major conferences including ACM UIST and Graphics Interface.

H. Kevin Fulkمشاهده پروفایل

دانشیار

• Information Systems Implementation
• Positive Technology Applications
• Legal Technology
• +۵ مورد دیگر

Dr. H. Kevin Fulk is an Associate Professor of Information Systems in the School of Accounting, Finance, Information Systems, and Business Law at Western Carolina University's College of Business. He holds a Juris Doctor from the University of Kansas School of Law, an MBA from the University of Kansas, and a Ph.D. in Management Information Systems from the University of Houston. His research focuses on information systems implementation challenges, the positive societal impact of technology, and applications of technology in legal practice and access to legal services. Teaching interests include productivity applications, computer networking, IT project management, database management, and ethical technology use. Recent work emphasizes AI in education (e.g., generative AI’s effects on learning and ethics), legal technology (e.g., combating textbook piracy), and organizational compassion through IT. His 2022 article on AI-driven interview preparation won the Best Pedagogy Paper Award. He advises no listed students but has contributed to over 20 scholarly articles addressing topics like ERP implementation, cybersecurity laws, and disruptive innovation. His office is located in 203 Forsyth Building, and he uses pronouns He/His.

Natasha Matthewsمشاهده پروفایل

مدرس ارشد

• Cognitive Control
• Attention Deficit Hyperactivity Disorder (ADHD)
• Schizophrenia
• +۹ مورد دیگر

Dr Natasha Matthews is a Senior Lecturer at the School of Psychology , The University of Queensland, and an affiliate of the Centre for Perception and Cognitive Neuroscience . Her research explores the intersection of cognitive neuroscience, developmental psychology, and clinical applications. Education: Doctor of Philosophy, University of Newcastle Research Interests: Dr Matthews investigates cognitive control mechanisms, metacognition, and neurodevelopmental disorders like ADHD and schizophrenia. She examines how private speech aids self-regulation in children, the long-term effects of mild traumatic brain injury on working memory, and mindfulness-based interventions for pain management. Her work bridges neuroscience and educational psychology to improve academic wellbeing in adolescents. Recent Article Trends: Recent publications focus on adolescent metacognition and academic wellbeing, neurophysiological alterations in ADHD, preschool children's self-regulatory strategies, and media multitasking across the lifespan. Methodologies include behavioral experiments, electrophysiological analysis, and dataset validation for metacognitive assessments. Supervision & Funding: Dr Matthews supervises PhD projects on mind wandering, social cognition, and metacognition in adolescence. Current funding includes an ARC Discovery Project (2025-2028) and an Education Horizon Grant (2024-2025).

Imre Keserüمشاهده پروفایل

دانشیار

• Urban Mobility
• Transport Planning
• Stakeholder Engagement
• +۶ مورد دیگر

Imre Keserü is an Associate Professor at the Vrije Universiteit Brussel (VUB) in the Department of Business Technology and Operations Management. He leads projects at the House of Sustainable Transitions and actively contributes to urban mobility research. Research Interests : Urban mobility cultures, sustainable transport transitions, scenario planning, multi-criteria analysis, stakeholder engagement, and digital transformation in mobility systems. His work emphasizes socio-spatial implications of transformative practices and citizen co-creation. Recent Publications Trends : Focus on transport policy, participatory evaluation, hybrid mobility design, and conflict resolution in urban planning tools. His studies span Europe, with case studies in Brussels and Hungary. Scientific Awards : MoRo Publication Prize 2021 Advisory & Editorial Roles : Chair for PhD defense of Valeska Katharina Engesser (2025), editor for European Transport Research Review , and co-supervisor for Master’s theses like Analyzing Public Opinion on Social Media: The Case of Brussels Low Emission Zone (2024). Labs & Collaborations : Collaborates with LISER, VUB-UHasselt joint doctoral projects, and the Brussels Centre for Urban Studies. Leads initiatives like TRANSFORM and BRGPROV22 to reimagine urban mobility.

• Smartphone Addiction
• Cyberloafing
• Cyberbullying
• +۹ مورد دیگر

Dr. Deniz Mertkan GEZGİN serves as an Associate Professor in the Department of Computer Education and Instructional Technology within the Faculty of Education at Trakya University. His academic journey includes post-doctoral studies at Middle East Technical University (2016) following doctoral and master's degrees in Computer Engineering from Trakya University (2011, 2006), and a bachelor's degree from Çanakkale Onsekiz Mart University (1999). Doctoral Degree: Trakya University - Computer Engineering (2011) Master's Degree: Trakya University - Computer Engineering (2006) Bachelor's Degree: Çanakkale Onsekiz Mart University - Computer Engineering (1999) High School: İzmir Selçuk High School - Science and Mathematics (1995) His research centers on digital behavior pathologies, with primary focus on smartphone addiction, nomophobia, and Fear of Missing Out (FoMO) among students. Secondary interests include cyberloafing, cyberbullying, mobile learning, and AI applications in education. His work demonstrates strong interdisciplinary connections between computer science, psychology, and educational technology, particularly examining how technology use impacts academic performance and mental health. Publications reveal consistent productivity in high-impact journals like Computers in Human Behavior and British Journal of Educational Technology, with recent emphasis on AI-driven addiction prediction (2025) and AIlessphobia scale development (2024). His research methodology frequently employs structural equation modeling and latent profile analysis to explore complex behavioral relationships. Guest Editor for Frontiers in Public Health (2023) Science Board member for International Conferences (2014, 2016) As an active academic contributor, he serves as referee for 40+ journals including Computers in Human Behavior, PLOS One, and Cyberpsychology, demonstrating recognition in both computer science and psychological research communities. His editorial work focuses on digital behavior pathologies and educational technology applications.