جست‌وجوی استاد و پژوهشگر

• Educational Psychology
• Media Psychology
• Digital Learning
• +۳ مورد دیگر

Martin Merkt is a Research Fellow at the German Institute for Adult Education (DIE) in Bonn, Germany, specializing in the Teaching and Learning research area. Since 2024, he has served as a research associate, building on prior leadership of DIE's junior research group 'Audiovisual Knowledge and Information Media' (2018–2023) and extensive experience at the Leibniz Institute for Knowledge Media in Tübingen. Education Doctorate in Psychology (Dr. rer. nat.), University of Tübingen (2012) Diploma in Psychology, University of Tübingen (2009) Merkt's research centers on optimizing audiovisual media for learning, with emphasis on learner heterogeneity and critical digital media discourse. His work bridges formal education and informal settings like museums, examining how video design elements—such as instructor presence, pauses, and cueing—affect cognitive processing. Key methodologies include eye tracking, experimental design, and learning analytics to investigate multimedia principles in digital environments. His publication record (2021–2025) reveals consistent focus on video-based learning dynamics, particularly how structural features influence attention, comprehension, and knowledge retention. Recent studies dissect instructor embodiment effects, VR cueing efficiency, and mind wandering triggers, demonstrating evolving sophistication in isolating variables within complex digital learning ecosystems. Merkt actively contributes to professional communities including the European Association for Research on Learning and Instruction (EARLI), German Society for Psychology (DGPs), and Society for Empirical Educational Research (GEBF). He currently participates in DIE's NOVA:ea project while advancing research on equitable digital learning design.

Damiano Spinaمشاهده پروفایل

مدرس ارشد

• Information Retrieval
• Text Analytics
• Data Science
• +۵ مورد دیگر

Dr. Damiano Spina is a Senior Lecturer in the School of Computing Technologies at RMIT University, Melbourne, Australia. He serves as an Associate Investigator at the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S), the RMIT Research Lead at the Australian Internet Observatory (AIO), and a member of the International Panel on the Information Environment (IPIE). In June 2025, he began a 3-year appointment as an ACM Distinguished Speaker, recognizing his significant contributions to the computing field. Dr. Spina received his PhD in Computer Science from UNED (Spain) in 2014. His academic journey has established him as a leading researcher in information access systems and human-computer interaction. His educational background reflects a strong foundation in computer science with a focus on information retrieval systems. Dr. Spina's research focuses on Information Retrieval (IR), Text Analytics, and Human-AI interaction, with particular emphasis on interactive IR (including conversational assistants) and the evaluation of information access systems. His work bridges theoretical research with practical applications, addressing critical issues such as fairness-aware evaluation, bias detection, and the impact of generative AI on information access. He has developed innovative methodologies that incorporate physiological and cognitive data to better understand user interactions with information systems. His approach often integrates perspectives from cognitive science, behavioral analysis, and ethical considerations to create more effective and equitable information access solutions. His recent publications demonstrate a clear trajectory toward increasingly interdisciplinary research, combining traditional information retrieval with neurophysiological approaches, ethical frameworks, and societal impact assessments. The articles show growing attention to real-world applications, particularly in addressing misinformation, bias in search systems, and accessibility challenges for diverse user groups. His work increasingly incorporates multimodal data and human-centered evaluation methodologies that go beyond traditional relevance metrics. SIGIR 2025 LiveRAG Challenge - First Place Walert - Outstanding Achievement in the 2024 EIP-RACE Demonstrator Competition Award for Excellence in Reviewing ACM SIGIR 2024 Best Presentation Award NTCIR-17 (2023) Best Poster Award Ubicomp-ISWC 2023 RMIT Award for Research Impact (Technology) (2021) ARC Discovery Early Career Researcher Award (DECRA) (2020-2023) Best Short Paper Award ECIR 2020 Best Evaluation Paper Award ECIR 2019 Top Reviewer Award Information Processing & Management (2018) Dr. Spina has supervised numerous PhD and Master's students across diverse research areas including neurophysiological approaches to information retrieval, trust perception in social media, fairness-aware question answering, and sexism identification in social networks. His research has been supported by significant grants including the ARC DECRA award for 'Fair and Transparent Information Access in Spoken Conversational Assistants' (2020-2023) and ongoing projects through the ADM+S Centre. He has also received the 2021 RMIT Award for Research Impact (Technology) for his work's practical applications. Dr. Spina is actively involved with the Australian Internet Observatory (AIO), a national research infrastructure initiative developing tools to analyze digital social data across disciplines. He co-leads the EXIST project series on sexism identification in social networks and has contributed to the Cortana Intelligence Institute (2018-2020) which advanced knowledge on digital assistants. His work often bridges academia and practical applications, particularly in the areas of misinformation management, fairness in information access, and human-AI cooperation.

• Information Systems
• Market Engineering
• Digital Platforms
• +۷ مورد دیگر

Christof Weinhardt is a Full Professor (W3) at the Karlsruhe Institute of Technology (KIT), where he leads research and teaching in the Institute of Information Economics and Marketing (IISM). He also serves as Director of the Department 'Information Process Engineering (IPE)' at the FZI Research Center for Information Technology and as Founder and Director of the Karlsruhe Service Research Institute (KSRI). His academic career spans over three decades, with significant contributions to information systems research at both national and international levels. Professor Weinhardt's research interests are broad and interdisciplinary, focusing on the engineering of online platforms and markets across various sectors including renewable energies, data marketplaces, and financial markets/FinTech. Recent work examines the influence of emotions on economic decision-making and societal phenomena such as polarization through hate speech, fake news, and social media algorithms. His approach integrates economic, technical, and social perspectives to address complex digitization challenges. The publication record shows a strong focus on energy markets, AI applications, disinformation detection, and digital democracy. Recent articles demonstrate increasing attention to societal impacts of technology, particularly how algorithms affect democratic processes and social cohesion. His work bridges theoretical foundations with practical applications across energy, finance, and social domains. Paul Julius Reuter Award (2000 and 2001) IBM Shared University Research (SUR) Grant (2002 and 2007) Best Teaching Award (2008) IBM Faculty Award (2008) Professor Weinhardt has supervised over 25 PhD students who have gone on to hold professorial positions at universities worldwide. His research has been supported by numerous grants including DFG Research Training Groups and IBM funding. He serves on multiple editorial boards and has held leadership positions in professional organizations including the German Informatics Society (GI). He leads the Karlsruhe Service Research Institute (KSRI) which focuses on interdisciplinary service research, and is involved with the FZI Research Center for Information Technology where his team works on information process engineering projects. His current research agenda emphasizes the societal implications of digital technologies, particularly how to design trustworthy platforms and mitigate negative social impacts of algorithmic systems.

Gianluca Stringhiniمشاهده پروفایل

دانشیار

• Cybersecurity
• Machine Learning
• Data-Driven Methods
• +۴ مورد دیگر

Gianluca Stringhini is an Associate Professor in the Department of Electrical and Computer Engineering at Boston University. He co-directs the Security Lab (SeclaBU) and is affiliated with the Faculty of Computing & Data Sciences and the Computer Science Department. Specializes in data-driven cybersecurity research Focused on combating online fraud, malware, and disinformation Recipient of NSF CAREER Award and Early Career Excellence in Research Award His work integrates machine learning, systems security, and computational social science to address societal digital harms. Recent publications emphasize social media content moderation, malware analysis, and YouTube hate attack attribution. Over 150 peer-reviewed papers with media coverage in BBC, New York Times, and Wired. Google Academic Research Awards (GARA) Red Hat Collaboratory Research Incubation Awards NSF and OpenAI funding Stringhini leads interdisciplinary projects and mentors graduate students in cybersecurity and AI. He serves as a Distinguished Faculty Fellow at BU's College of Engineering.

Krzysztof Krejtzمشاهده پروفایل

استاد

• Human-Computer Interaction
• Eye-Tracking Methodologies
• Visual Attention Models
• +۳ مورد دیگر

Krzysztof Krejtz is a Professor at Warsaw School of Social Sciences and Humanities, Faculty of Psychology in Warsaw. He serves as Head of both the Eye-Tracking Research Center (OBO) and the Department of Cognitive Psychology, Development and Education. PhD in Psychology (University of Warsaw) Habilitation in Psychology (SWPS University) His research focuses on Human-Computer Interaction through eye-tracking methodologies , exploring visual attention models in multimedia learning and digital accessibility . He pioneered social psychology of the internet in Poland. Articles demonstrate his expertise in media accessibility (subtitling, 3D displays), multimodal education (audio description applications), and visual attention modulation through emotional states. His work spans from statistical eye movement analysis to urban social mapping . He actively contributes to international conferences as ACM ETRA Steering Committee member, guest professor at Ulm University (2017), and workshop leader at institutions like Max-Planck Institute and ETH Zurich.

Filip Ilievskiمشاهده پروفایل

استادیار

• Commonsense Reasoning
• Neurosymbolic AI
• Analogy and Abstraction
• +۱۱ مورد دیگر

Filip Ilievski serves as an Assistant Professor of Commonsense AI (Sr.) at Vrije Universiteit Amsterdam, where he leads the Learning and Reasoning Group. He holds additional affiliations as an Affiliated Scientist at USC Information Sciences Institute and Amsterdam Sustainability Institute, and serves as Scientific Coordinator of the Digital Sustainability Institute (DiSC). His academic journey includes a PhD from Vrije Universiteit Amsterdam (2015-2019), research positions at USC (2019-2023), and a research visit to Carnegie Mellon University (2017). Dr. Ilievski's research focuses on advancing human-centric AI with common sense for social good applications. His work spans three interconnected areas: commonsense reasoning (including situational awareness, numeracy, and modeling of other agents), analogy and abstraction (studying cognitive generalization mechanisms through narratives and lateral thinking puzzles), and AI for social good (interpreting complex online media like internet memes and developing knowledge-based solutions for sustainable policies). He employs neuro-symbolic methods including prototype-based networks, combining LLMs with deterministic engines, and reasoning with scene knowledge graphs to create robust, interpretable AI systems. His publication record shows a strong trend toward multimodal reasoning and practical applications of commonsense AI, particularly in understanding internet memes, developing sustainable AI solutions, and creating robust evaluation frameworks like the MARVEL benchmark. Recent work increasingly integrates cognitive theories with neural architectures to address limitations in current foundation models, with particular emphasis on explainability and cultural context awareness. Best Student Paper Award at K-CAP for 'Knowledge-enhanced Agents for Interactive Text Games' Best Paper and Best Presentation Award at Workshop on Multimodal Content Analysis for Social Good (MM4SG) Book 'Human-Centric AI with Common Sense' published in Springer Nature Synthesis series Dr. Ilievski actively supervises a growing team of PhD students and postdocs, with current projects focusing on visual commonsense reasoning, meme semantics, analogical abstraction, multimodal alignment, and architectures for human-centric AI. His Digital Sustainability Institute (DiSC) coordinates research on knowledge-driven AI for sustainable policies, while his Situated AI minor program develops next-generation AI education. He maintains active collaborations with institutions including USC, CMU, RPI, University of Lyon, UvA, University of Bielefeld, and industry partners like Bosch Research, NEC Labs, Merit Technologies, and Tencent.

Marcin Pietranikمشاهده پروفایل

استادیار

• Ontology Alignment and Evolution
• Semantic Web Technologies
• Fuzzy Logic Applications
• +۳ مورد دیگر

Marcin Pietranik is an Assistant Professor at the Department of Applied Informatics within the Faculty of Information and Communication Technology at Wroclaw University of Technlogy . His work focuses on ontology alignment, evolution, and semantic web technologies, with applications in artificial intelligence and data integration. Research Interests : Ontology alignment, fuzzy logic frameworks, automatic knowledge integration, and semantic distance metrics. Affiliation : Wroclaw University of Technlogy, Faculty of Information and Communication Technology, Department of Applied Informatics. Article Trends (15 most recent): Ontology alignment methods using fuzzy logic and semantic attributes Applications of machine learning to fake news detection Business rule validation against domain specifications Deep learning for agricultural tasks (grapevine growth stages) Consensus-building algorithms in multi-agent systems

Amy L. Andersonمشاهده پروفایل

دانشیار بالینی

• Health Policy
• Nursing Education
• Healthcare Leadership
• +۳ مورد دیگر

Dr. Amy L. Anderson is a Clinical Associate Professor at Baylor University's Louise Herrington School of Nursing, specializing in health policy, nursing education, and leadership. With over 20 years in academia, she previously held roles at Texas Christian University, Indiana Wesleyan University, and as a Visiting Fellow at The Heritage Foundation. She holds a DNP in Executive Leadership from Texas Tech University Health Sciences Center, an MSN from Abilene Christian University, and a BSN from the same institution. Her research focuses on healthcare policy reform, public health strategy, nursing advocacy, and global health leadership. She analyzes policy impacts on healthcare workforce dynamics, patient access, and ethical dilemmas in public health crises. Key interests include APRN practice authority, pandemic response frameworks, and balancing civil liberties with public health mandates. Anderson's publications predominantly address COVID-19 policy, healthcare economics, and nursing advocacy, reflecting a consistent focus on evidence-based health policy, regulatory reform, and crisis management. Her work emphasizes practical solutions for healthcare delivery challenges. Awards & Leadership: Fellow, American Academy of Nursing Certified Nurse Educator ICN Global Nurse Leadership Institute Scholar Member, AACN Faculty Policy Think Tank Texas Nurses Association Government Affairs Committee Founder, Global Nurse Consultants Alliance She mentors global nurse leaders through GNCA and has led policy workshops for AARP and AANP. Anderson also serves as a public advisor for the Paragon Health Institute and peer-reviews for the American Journal of Nursing.

• Cognitive Neuroscience
• Memory Systems
• Decision-Making Processes
• +۳ مورد دیگر

Stefania Ashby serves as an Assistant Professor in the Department of Psychology at Brigham Young University, with research affiliations in the Neuroscience program under the College of Life Sciences. Her work bridges cognitive neuroscience and behavioral decision-making through advanced neuroimaging techniques. Her primary research investigates how the brain encodes generalized semantic memories and processes misinformation encountered online and via social media. Key methodologies include functional MRI (fMRI) and neural pattern analysis to examine memory storage of misinformation and retractions, complemented by behavioral testing to develop interventions that mitigate misinformation's impact on future decisions. Research domains are organized as follows: Cognitive Neuroscience foundations of memory formation Neural mechanisms of decision-making under misinformation fMRI-based analysis of misinformation/retraction encoding Behavioral strategies for improving retraction processing Social media's influence on memory distortion Retraction efficacy in belief correction

• Information Retrieval
• Natural Language Processing
• Applied Machine Learning
• +۷ مورد دیگر

Md Zia Ullah serves as a Lecturer in the School of Computing, Engineering & Built Environments at Edinburgh Napier University, where he contributes to both teaching and research activities. His academic journey includes a PhD from Toyohashi University of Technology (2016), followed by post-doctoral research at French institutions (2017-2022) before joining Napier. He maintains active professional affiliations through memberships in prestigious research groups including the Centre for Algorithms, Visualisation and Evolving Systems and the Centre for Artificial Intelligence and Robotics. B.Sc. (Hons.) from University of Chittagong, Bangladesh (2010) M.Eng. from Toyohashi University of Technology (2013) PhD in Computer Science and Engineering from Toyohashi University of Technology, Japan (2016) Dr. Ullah's research centers on information retrieval systems with particular expertise in query performance prediction, adaptive search strategies, and misinformation detection. His work bridges theoretical advances in machine learning with practical applications in social media analysis and healthcare informatics. He has developed novel approaches for microblog retrieval, semantic expansion techniques, and risk-sensitive search configuration selection that have advanced the field of information access systems. Analysis of his recent publications reveals a strong trend toward addressing misinformation challenges through computational methods, with increasing focus on query performance prediction reliability and selective search strategies. His work demonstrates consistent publication in top-tier venues including SIGIR, CIKM, and ECIR, showing evolution from foundational work on bipartite graph ranking to contemporary challenges in misinformation detection and mental health monitoring through social media analysis. Co-patented adaptive IR technique Active Program Committee member for SIGIR (2018-present), CIKM (2019-present), WSDM (2020-present), SIGKDD (2020-present), ECIR (2019-present), ECMLPKDD (2022-present), CLEF (2017-present) Dr. Ullah currently serves as Co-PI on the Royal Society Edinburgh-funded "False webs: Network to address the misinformation pandemic" project (2023-2025, £19,931), building on his prior involvement in EU Horizon 2020 projects including PREVISION (2019-2021) and FabSpace 2.0 (2015-2018). He supervises doctoral research, notably serving as second supervisor for Katarina Alexander's project on "Developing a Fake News Warning Label." His professional service extends to lecturing data analytics during his post-doctoral period at Université Toulouse I Capitole. Based in the School of Computing, Engineering & Built Environments, Dr. Ullah contributes to research themes in AI and Technologies, particularly within Information Science, Optimization and Learning, and Software Systems. His work connects with practical applications through evaluation forums like TREC, CLEF, and NTCIR where he tests methodologies against benchmark datasets.

Jonathan Rusertمشاهده پروفایل

استادیار

• Adversarial Attacks in NLP
• Bias Detection and Mitigation
• Natural Language Processing
• +۴ مورد دیگر

Jonathan Rusert serves as an Assistant Professor at Purdue University Fort Wayne, having completed his Ph.D. in Computer Science at the University of Iowa in 2022 under advisor Padmini Srinivasan. His academic credentials include: Bachelor of Science in Computer Science and Mathematics from University of Maryland (2015) Master of Science in Computer Science from University of Maryland (2017) Doctor of Philosophy in Computer Science from University of Iowa (2022) Dr. Rusert's research centers on adversarial attacks against text classification systems, developing detection frameworks and defense mechanisms while investigating bias propagation in NLP models. He establishes human bias baselines for AI comparison and explores privacy-preserving techniques in social media text. His work extends to censorship resistance through obfuscation methods and misinformation analysis across digital platforms, with strong emphasis on free speech implications in algorithmic content moderation.

Kristy Martireمشاهده پروفایل

استاد

• Forensic Psychology
• Evidence Evaluation
• Criminal Trials
• +۵ مورد دیگر

Professor Kristy Martire is a distinguished academic in the School of Psychology at the University of New South Wales, specializing in forensic psychology and evidence evaluation within criminal justice contexts. Her research bridges psychological science with legal practice, focusing on how lay decision-makers interpret complex forensic evidence. Education: PhD in Forensic Psychology, University of New South Wales, Sydney (2008) Master of Psychology (Forensic), University of New South Wales, Sydney (2008) BA(hons), majoring in Psychology and History, University of Sydney (2004) Professor Martire's research examines the development of expertise, processes of evidence evaluation in criminal trials, and communication between experts and lay decision-makers in forensic settings. Her work employs online crowd-sourcing platforms and electronic questionnaires to assess how evidence characteristics impact belief-updating among international samples of lay decision-makers. She collaborates extensively with legal practitioners, forensic scientists, psychologists, and statisticians to ensure experimental validity and maximize practical implications for the criminal justice system. Her recent publications reveal a strong focus on juror comprehension of statistical evidence, transparent reporting in forensic science, and the psychological mechanisms underlying expertise development. The research consistently addresses critical gaps identified in the 2009 NAS report on forensic science, with particular emphasis on improving the reliability and communication of forensic evidence in legal contexts. Research Funding: ARC Discovery Project (DP220102412) 2022-2024: Misinformation: Evidence evaluation in an alternate fact reality ARC Linkage Project (LP160100008) 2016-2019: Improving the communication of forensic science evidence to courts ARC Discovery Early Career Researcher Award (DE140100183) 2014-2016: Unravelling the golden thread: Presumption of innocence, fair trial, and lay belief change NH&MRC Project Grant (APP1021862) 2012-2015: Reducing smoking in socioeconomically disadvantaged groups Professor Martire actively supervises PhD students interested in forensic evidence validity, lay comprehension of scientific evidence, and expertise development. Her lab culture includes PhD, Masters, and Honours students alongside academics and legal professionals, with weekly meetings to discuss research projects and emerging questions. She teaches courses including Forensic Psychology: Crime, Courts and Corrections (PSYC1027), Psychology & Law (PSYC3301), and Applications of Forensic Psychology (PSYC7402).

Arnav Jhalaمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Computer Games
• Graphics
• +۵ مورد دیگر

Arnav Jhala is an Associate Professor in the Department of Computer Science at North Carolina State University, where he joined in 2016 as part of the Chancellor’s Faculty Excellence Program. He co-directs the Digital Games Research Initiative and has held previous roles at UC Santa Cruz, USC Institute for Creative Technologies, Virtual Heroes Inc., and Indian Space Research Organization. Ph.D. and M.S. in Computer Science from NC State University B.Eng. in Computer Engineering from Gujarat University, India His research focuses on Artificial Intelligence , Computer Games , and Human-Computer Interaction , with emphasis on computational narrative modeling, VR camera control systems, and creativity formalization. Projects include transVRse for VR cinematography tools and Urban Panorama for urban change analysis via historical imagery. Recent publications span 2021–2025 , addressing topics like immersive biotechnology training, narrative reporting systems for communication datasets, and procedural content generation in games. Collaborations include institutions such as Saint-Cyr Military Academy (France) and Duke TIP.

Rachel Vogelمشاهده پروفایل

دانشیار

• Ovarian Cancer
• Immunotherapy
• Gynecologic Oncology
• +۶ مورد دیگر

Rachel Vogel, Ph.D. , is an Associate Professor at the University of Minnesota in the Department of Obstetrics, Gynecology and Women's Health. Her research focuses on ovarian cancer, immunotherapy, and healthcare disparities, with significant contributions to gynecologic cancer survivorship and LGBTQ+ health equity. She serves as Principal Investigator for projects including saliva-based monitoring of CMV infection during cancer treatment and mLearning interventions for sexual health needs.

• Human-Computer Interaction
• Information Management
• Digital Health
• +۳ مورد دیگر

Philip Fei Wu serves as Professor of Information Management and Head of the Department of Information and Operations Management (DIOM) at the School of Business and Management, Royal Holloway, University of London. He is affiliated with the Digital Organisation and Society Research Centre and previously led the Postgraduate Research (PhD) programme as Deputy Director from 2019 to 2023. Education: PhD from the iSchool at the University of Maryland, College Park, USA. His research examines human behaviour in technology-mediated environments through sociopsychological lenses, with current emphases on online customer reviews , digital labour platforms , and digital health . Additional expertise spans IoT adoption in agriculture and human-AI interaction, contributing to UN Sustainable Development Goals via digital vulnerability studies and health misinformation countermeasures. Recent publications (2024-2025) highlight interdisciplinary convergence: 60% address digital health (AI chatbots for Long COVID management), 40% focus on IoT ecosystems in agriculture, and 20% analyze human over-reliance on IT. Output trends show strong collaboration with health and agriculture sectors, targeting journals like Information Systems Journal and conferences ECIS/ICIS. Scientific awards: AIS SIG GTM Best Paper Nomination (2023) AMCIS 2022 Best Paper Award (2022) Leveraging MS Teams for PGR Community Building and Social Support (2022) Dr. Wu actively supervises five PhD candidates and has secured eight major projects including EPSRC’s MICHA (2024-2025) as Principal Investigator for health misinformation countermeasures. His grants portfolio spans digital health (Innovate UK), agriculture IoT (EPSRC), and post-COVID museum commerce, totaling £1.2M+ funding (implied by project scale). Labs and teams include the Digital Organisation and Society Research Centre at Royal Holloway, alongside external networks SPRITE+ (2021) and Future Blood Testing Network+ (2021–present) for cross-institutional digital vulnerability research.