جست‌وجوی استاد و پژوهشگر

Laeeq Khanمشاهده پروفایل

دانشیار

• Social Media Analytics
• Data Mining
• Text Analytics
• +۱۵ مورد دیگر

Laeeq Khan is an Associate Professor in the School of Media Arts & Studies at the Scripps College of Communication, Ohio University. He is the founding director of the Social Media Analytics Research Team (SMART) Lab and is affiliated with the Communication and Development program and the Infectious and Tropical Disease Institute. His research integrates computational social science, data analytics, and communication theory to address pressing societal issues. Education: Ph.D., Michigan State University MBA, Murray State University M.S., Murray State University His research interests center on social media analytics, data mining, misinformation, health communication, and crisis communication . He employs mixed-methods approaches, including experiments, surveys, interviews, and advanced data analytics, to study audience engagement, digital divides, and public responses to health and political messaging. His work is grounded in theories like Uses and Gratifications (U&G) and focuses on making data science accessible to diverse audiences. The recent publications highlight a strong trend in AI and digital media , particularly audience behavior around ChatGPT content on YouTube, credibility in health messaging on social media, and the role of AI in higher education. His research spans health, education, politics, and humanitarian contexts, often supported by major funders like USAID, NSF, and the Gates Foundation. Scientific Awards: Multiple awards for research and journalism Teaching excellence award Khan actively advises students and leads research teams at the SMART Lab. He has secured competitive grants from USAID, the National Science Foundation (NSF), and the Bill & Melinda Gates Foundation. His projects often involve interdisciplinary collaboration and real-world impact, such as training for the AHA Centre and consulting for startups and government organizations. He leads the SMART Lab, where interdisciplinary research teams investigate health informatics, misinformation, crisis communication, and media effects using cutting-edge data analytics tools. The lab serves as a hub for student research, innovation, and community engagement.

Gahangir Hossainمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Brain and Cognitive Science
• Data Science and Analytics
• +۴ مورد دیگر

Gahangir Hossain is an Associate Professor at the University of North Texas, specializing in interdisciplinary research at the intersection of cybersecurity, artificial intelligence, and cognitive science. His work focuses on advancing cybersecurity solutions, smart agriculture systems, and healthcare technologies through data-driven methodologies and machine learning innovations. He holds a Ph.D. from the University of Memphis, M.S. degrees from the University of Memphis and Bangladesh University of Engineering and Technology (BUET), and a B.S. from Shahjalal University of Science and Technology (SUST). Education: Ph.D., University of Memphis M.S., University of Memphis M.S., Bangladesh University of Engineering and Technology B.S., Shahjalal University of Science and Technology His research interests span Artificial Intelligence , Cybersecurity Management , Data Science , and Health Informatics . Notable projects include the CyberCREWS program for high school cybersecurity education and the Perfect Project , which provides STEM training in cybersecurity for 9th-12th graders. He also develops AI-driven tools like JIBON++ , an assistive voice assistant for people with visual impairments. Recent work highlights include leveraging federated learning for cybersecurity education ( Cognitive CyTutor ), optimizing EV charging security, and applying steganography to enhance multi-factor authentication. His research bridges societal challenges such as digital literacy gaps and healthcare cybersecurity vulnerabilities. Grants and collaborations involve advancing cybersecurity recruitment strategies, smart agriculture cybersecurity frameworks, and ethical hacking training for students. He leads initiatives to integrate cybersecurity into K-12 education through courses on machine learning for cyberthreat analytics and blockchain technology. His lab focuses on interdisciplinary projects such as CyberTMS (transportation cybersecurity management) and iRestroom , a smart infrastructure for elderly care. Current efforts emphasize AI ethics, dementia care through ChatGPT integration, and reducing cyber value at risk (CVaR) through anomaly detection systems.

Christina Pöpperمشاهده پروفایل

دانشیار

• Cyber Security
• Privacy
• Information and Communication Security
• +۱۲ مورد دیگر

Christina Pöpper is an Associate Professor of Computer Science and Program Head of Computer Science at New York University Abu Dhabi (NYUAD), with a Global Network Associate Professor appointment at the Courant Institute of Mathematical Sciences, NYU. She leads the Cyber Security & Privacy (CSP) Lab and is Co-PI of the Center for Cyber Security at NYUAD. Education: PhD in Computer Science, ETH Zurich MSc (Diploma) in Computer Science, ETH Zurich Her research focuses on cyber security and privacy, with emphasis on wireless and mobile communication security, including 5G/nextG networks, secure localization, and privacy-preserving mechanisms. Her work combines systems and security approaches to build secure systems where cryptography alone is insufficient. She has published extensively in top venues such as USENIX Security, NDSS, IEEE S&P, and ACM CCS. The recent research articles highlight a strong trend in mobile and wireless security, including 5G vulnerabilities, SMS timing attacks, GPS spoofing, and privacy risks in AI-generated code and LLMs. Her group also investigates disinformation, browser fingerprinting, and secure communication protocols. Scientific Awards: Runner-up, Andreas Pfitzmann Best Student Paper Award (PETS 2024) Christina Pöpper has advised numerous PhD and master’s students, including Shujaat Mirza and Zacharia Kornas. She has led significant research grants through the Center for Cyber Security and the CSP Lab. She serves on the steering committees of NDSS and ACM WiSec and has chaired TPCs for NDSS and ACNS. She previously served as Assistant Professor at Ruhr-University Bochum and worked at the European Space Agency. Labs and Teams: Cyber Security & Privacy (CSP) Lab, NYUAD Center for Cyber Security, NYUAD Co-organizer of the WiseML workshop on Wireless Security and Machine Learning

• Distributed Computing
• Internet Computing
• Cloud Computing
• +۹ مورد دیگر

George Pallis is a Professor in the Department of Computer Science at the University of Cyprus, where he also serves as Associate Director of the Laboratory of Internet Computing. He is a programme director for the Master in Data Science and leads major international research initiatives funded by the European Commission, national agencies, and industry partners such as Google. His academic foundation includes a BSc and PhD in Informatics from Aristotle University of Thessaloniki, Greece. PhD, Department of Informatics, Aristotle University of Thessaloniki, Greece, 2006 BSc, Department of Informatics, Aristotle University of Thessaloniki, Greece, 2001 Dr. Pallis’s research focuses on Distributed and Internet Computing , with specialized interests in Big Data Analytics, Cloud/Edge/Fog Computing, Content Delivery Networks, and Online Social Networks . His work bridges theoretical innovation and practical deployment, particularly in scalable and energy-efficient computing infrastructures. He has contributed to international standards through the German Institute for Standardization (DIN) and has developed frameworks for cloud elasticity, fog emulation, and misinformation detection. His 15 most recent publications reflect a strong trend in edge and fog computing, AI-driven analytics, privacy-preserving data processing, and misinformation detection . These works span high-impact venues such as IEEE IC2E, IEEE/ACM SEC, IEEE CloudCom, and IEEE BigData, with increasing integration of machine learning and human-in-the-loop systems. Dr. Pallis has received multiple scientific awards, including: Best Paper Award, IEEE CloudCom 2024 Best Paper Award (2nd place), IEEE/ACM UCC 2023 Best Paper Award, IEEE IoTDi 2022 Best Student Paper, IEEE ISCC 2022 Best Paper, IEEE BigData 2016 Best Paper, ICSOC 2014 Best Demo Award, ACM/IEEE SEC 2020 World’s Top 2% Scientists (Stanford) Golden Core Member, IEEE Computer Society He has supervised several PhD students in areas such as fog computing emulation, big data in entrepreneurship, and polarization detection. His research is supported by over 5.5 million euros in grants from the European Commission (e.g., RAINBOW, UNICORN, ICARUS), the Research Promotion Foundation in Cyprus, and industry. He has served as General Chair of IEEE/ACM SEC 2024 and IEEE IC2E 2024, and as Editor-in-Chief of IEEE Internet Computing (2019–2023), now holding the Emeritus title. He is currently Associate Editor for the Computing Journal (Springer). Dr. Pallis leads the Laboratory of Internet Computing, a hub for research in cloud, edge, and social computing. The lab develops tools like Fogify for emulation, RAINBOW analytics, and Check-It for fake news detection, fostering collaboration across academia and industry.

Eric Müller-Budackمشاهده پروفایل

پژوهشگر

• Automatic multimedia indexing
• Multimedia and multimodal information retrieval
• Computer vision
• +۵ مورد دیگر

Dr. Eric Müller-Budack is a researcher at the Leibniz Information Centre for Science and Technology (TIB) in Hannover, Germany, where he works in the Visual Analytics research group. His work focuses on bridging computer vision with information retrieval to analyze multimedia content, particularly news media and sports analytics. His educational background includes: Ph.D. in Computer Science from Leibniz University Hannover (2021), passed with distinction Müller-Budack's research primarily centers on automatic analysis of multimedia content, with particular emphasis on cross-modal consistency between images and text. His work has significant applications in news verification, misinformation detection, and sports analytics. He develops advanced computer vision techniques combined with natural language processing to create systems that can understand complex relationships between different media types, enabling more reliable analysis of digital content in real-world scenarios. His recent publications demonstrate a clear trend toward using large vision-language models for multimodal analysis tasks, particularly in news verification and misinformation detection. His research increasingly focuses on practical applications of these technologies in diverse domains including sports analytics, patent analysis, and film studies, showing how computer vision can be applied to solve domain-specific problems across multiple disciplines. Among his notable achievements: Best Paper Award at International Conference on Multimedia Retrieval (ICMR) 2020 Best Paper Award at CLEOPATRA@ESWC 2020 Honorable Mention Award at TPDL 2018 PhD passed with Distinction (2021) Nominated for GI-Dissertationspreis (2022) Nominated for Leibniz Dissertation Award (Top 10) (2022) Best Paper Award at International Conference on Multimedia Retrieval (ICMR) 2024 Müller-Budack has been instrumental in developing TIB AV-Analytics, a computational tool for film and video analysis that serves both scholarly research and practical applications in media analysis. His collaborative work with researchers like Ralph Ewerth demonstrates strong interdisciplinary connections between computer science, journalism, sports science, and cultural heritage studies, creating bridges between theoretical research and real-world applications.

Thomas Mandlمشاهده پروفایل

استاد

• Information Retrieval
• Information Foraging
• Text Mining
• +۱۵ مورد دیگر

Prof. Dr. Thomas Mandl is a faculty member at the Institute for Information Science & Language Technology, within the Department of Linguistics and Information Sciences at the University of Hildesheim, Germany. He holds the academic rank of Professor and has been a long-standing researcher and educator at the university since 1998. He has held visiting and adjunct professorships at institutions in Korea, India, and Brazil, reflecting his international academic presence. His research interests are centered on information retrieval, information foraging, text and data mining, image and video retrieval, and the application of artificial intelligence in analyzing social media content. Key areas include the detection of misinformation, fake news, and hate speech, particularly through participation in initiatives like the CheckThat! Lab at CLEF. He leads and contributes to interdisciplinary projects such as PortApp (automatic recognition of early modern portraits), KISS-PRO, and DILRA, focusing on digital humanities, AI, and information behavior during crises like the pandemic. His recent publications in 2023 cover foundational topics in information science, specifically text mining, data mining, and image/video retrieval, indicating a focus on core information science methodologies enhanced by AI. These works suggest a strong orientation toward both theoretical and applied aspects of information access and analysis. Adjunct Professor, Dhirubhai Ambani Institute of Information and Communication Technology (DAIICT), Gandhinagar, India (2019) Visiting Professor, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil (2019, 2022) Visiting Professor, Paichai University, Daejeon, South Korea (2017) Prof. Mandl supervises doctoral candidates, with recent successful defenses by Noushin Fadaei, Lea Wöbbekind, and Theresa Kruse. He is actively involved in research funding through projects supported by the BMBF and Erasmus+, and contributes to public discourse on AI through media appearances, such as interviews with DEUTSCHLANDFUNK and the UHiversum Talks podcast. He also organizes academic events like the ASIRF Autumn School at Schloss Dagstuhl and the DHOW workshop on harmful online content. He is engaged in developing educational materials, including online games to teach youth about hate speech, and promotes international collaboration in information literacy and media competence through initiatives like IPILM. His work bridges technical research in AI and information systems with societal and educational applications.

Heidi Tworekمشاهده پروفایل

استاد

• History of Communications
• Digital Governance
• Democracy Studies
• +۶ مورد دیگر

Professor Heidi Tworek is a Canada Research Chair and Professor of History at the University of British Columbia, where she directs the Centre for the Study of Democratic Institutions. She serves as co-editor of the Journal of Global History and is a Senior Fellow at the Centre for International Governance Innovation. Her interdisciplinary work bridges historical research with contemporary policy challenges in communications and democracy. Dr. Tworek's research focuses on how communications technologies affect democracy, both historically and in the present. Her expertise spans the history of media, digital governance, health communications, and foreign interference in democratic processes. She has demonstrated how historical patterns in media power and information ecosystems inform current challenges with digital platforms and disinformation. Her research output shows consistent engagement with both historical analysis and contemporary policy issues. Recent work examines health misinformation, Canada's digital dependence, and comparative election security challenges, while her foundational scholarship on early 20th century communications infrastructure provides critical historical context for understanding today's digital landscape. Elected Fellow of the Royal Historical Society (2025) Canada Research Chair in history and policy of communications Regular contributor to major media outlets including Foreign Affairs, The Washington Post, The Atlantic, Politico, CNN, and The New York Times As an advisor to policymakers globally, Dr. Tworek bridges academic research with practical governance challenges, particularly regarding democratic resilience in the digital age. Her leadership of UBC's Centre for the Study of Democratic Institutions positions her at the intersection of historical scholarship and contemporary democratic challenges.

Germans Savcisensمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Data Science
• Machine Learning
• +۵ مورد دیگر

Germans Savcisens is a Postdoctoral Research Associate at the Northeastern University within the Khoury College of Computer Science , affiliated with both the Network Science Institute and the Rad Lab. His research focuses on enhancing the transparency and security of machine learning models while exploring their applications in analyzing social and behavioral data. PhD in Computational Social Science from Technical University of Denmark (2023) Explored foundation models for life trajectory analysis in socioeconomic and health domains Research spans network science, machine learning, and human behavior intersections His work includes development of the life2vec framework for high-dimensional life trajectory analysis, studies on epistemic stability in LLMs, and methodological contributions to graph embeddings with uncertainty quantification. Recent publications focus on veracity tracking in language models and multilingual discourse analysis regarding technology narratives. Teaching experience spans multiple institutions and years: Autumn 2024: Machine Learning with Graphs (Northeastern University) Spring 2023: Algorithmic Fairness, Accountability and Ethics (IT University of Copenhagen) MSc Thesis supervision at Technical University of Denmark on topics like compliance rule detection and app usage modeling

Yevhen Fedchenkoمشاهده پروفایل

دانشیار

• Digital journalism
• Journalism education in transitional societies
• News standards
• +۳ مورد دیگر

Yevhen Fedchenko serves as Director of the Mohyla School of Journalism and Associate Professor at the National University of Kyiv-Mohyla Academy since 2005. He is also Co-founder/Chief Editor of StopFake.org, a prominent fact-checking organization launched in 2014 that became a Facebook third-party fact-checking partner in 2020. His academic background includes a PhD in international relations (2004) from the Institute of World Economy and International Relations, an MA in political science (1998), and a BA in political science (1996), all from Kyiv-Mohyla Academy. Fedchenko's research focuses on digital journalism innovations, journalism education in transitional societies, news standards, propaganda mechanisms, and fact-checking methodologies. His work has been particularly relevant in analyzing Russian information warfare tactics following the 2014 annexation of Crimea and the Donbass conflict. His publications demonstrate expertise in media objectivity during wartime, propaganda avoidance strategies, and comparative public broadcasting systems, particularly examining German-Ukrainian media frameworks. Fedchenko has advised doctoral students including Daria Taradai on research concerning international conflicts in Ukrainian TV coverage. He has served as academic adviser for international students from institutions including University of Maryland and Stanford University. He leads several media initiatives including StopFake.org, the Digital Media for Universities program, and the Digital Future of Journalism program, focusing on media literacy, fact-checking, and combating disinformation in Eastern Europe.

Christian Schemerمشاهده پروفایل

استاد

• Media effects
• Political communication
• Social psychology
• +۶ مورد دیگر

Prof. Dr. Christian Schemer is a Professor of General Communication Science at the Institute of Journalism , Johannes Gutenberg University Mainz , since 2014. His research encompasses media effects , political communication , advertising effectiveness , and social group prejudices . He has been involved in comparative studies across 18+ countries, focusing on disinformation , media trust , and political engagement . Former roles include Acting Professor at LMU Munich and Visiting Scholar at the University of Pennsylvania.

• Digital Media Effects
• Advertising Research
• Sustainability Communication
• +۳ مورد دیگر

Jörg Matthes is a Full Professor of Communication Science and Vice-Chair at the Department of Communication , University of Vienna, where he directs the Advertising and Media Psychology Research Group (AdMe) . With over 200 journal publications, his research spans digital media effects, advertising, sustainability communication, children's media exposure, terrorism narratives, and empirical methods. He has held visiting professorships at the University of Sydney and Ohio State University. Key Research Areas: Digital Hate, Political Microtargeting, Greenwashing, Cyberbullying, and Methodological Innovations. International Leadership: Editor-in-Chief of Communication Theory (2023-27), former Editor of Communication Methods & Measures (2016-20), and member of 15+ editorial boards. Scientific Recognition includes the ERC Advanced Grant (2022), ICA Fellow (2021), AEJMC Hillier Krieghbaum Under 40 Award (2016), and ICA Young Scholar Award (2014). His work on political advertising, digital hate, and media effects has earned multiple top paper awards at ICA, AEJMC, and ICORIA. Editorial and Service Contributions: Led Communication Methods & Measures to #1 ranking in SSCI during 2016-2020. Served as Chair (2014-2022) and Vice-Chair (2012-2014, 2022-present) of the University of Vienna's Communication Department, elevating it to top 30 globally. Advises on quality assessment for higher education institutions in the Netherlands, Czech Republic, Lithuania, Bulgaria, and China.

Kurt Sandkuhlمشاهده پروفایل

استاد

• Enterprise Architecture
• Enterprise Modeling
• Capability Management
• +۵ مورد دیگر

Prof. Dr.-Ing. Kurt Sandkuhl serves as Professor and Chair of Business Information Systems at the Institute of Computer Science within the Faculty of Computer Science and Electrical Engineering at the University of Rostock. He concurrently holds the position of Dean of the Faculty and maintains active roles as Academic Advisor for the Business Information Systems Master's program, ERASMUS+ Coordinator, and member of the academic management of the Center for Entrepreneurship. His research centers on enterprise architecture, enterprise modeling, capability management, and digital business models, with significant contributions to knowledge-based systems, smart process management, and mobile/wearable information systems. Recent work demonstrates pioneering integration of artificial intelligence—particularly large language models—into enterprise modeling practices, addressing challenges in cybersecurity, sustainable business transformation, and public sector digitalization. Analysis of his recent publications reveals dominant trends in AI-augmented enterprise modeling, cybersecurity architecture for public administration, and circular economy transitions in manufacturing. His work consistently bridges theoretical modeling frameworks with practical implementations in SMEs, public transport, and energy management contexts, emphasizing usability and real-world impact. Prof. Sandkuhl advises the WIN M.Sc. program and coordinates international academic exchanges through ERASMUS+. His institutional leadership extends to the IT Initiative Mecklenburg-Vorpommern board and co-opted membership in the Interdisciplinary Faculty's Department of Ageing, while maintaining active affiliations with the German Computer Science Society and founding membership in the European Association for Software and Systems Technology. He directs the Business Informatics Enterprise Modeling Lab, which employs multi-touch tables and smart boards for participatory modeling research. The lab focuses on capability-driven enterprise architecture, digital business ecosystem design, and context-aware systems for quantified products, with notable projects in maritime dataspaces and demand-responsive public transport integration.

• Rhetoric
• Argumentation
• Journalism
• +۱۰ مورد دیگر

Mette Bengtsson is an Associate Professor in the Department of Communication at the University of Copenhagen's Faculty of Humanities, specializing in rhetoric, argumentation, and political journalism. Her research focuses on how mass-mediated public debate takes place and how journalists contribute to cultivating vibrant political discourse. She has extensively analyzed newer genres within political journalism such as political commentary and fact-checking, examining argumentation and style to discuss fundamental assumptions about knowledge, citizens, journalists, and democracy. Her research interests span rhetoric, argumentation, journalism, media, democracy, political journalism, mass-mediated political debate, media and citizenship, political commentators, and fact-checking. Bengtsson investigates how journalists can foster engaging political debates through critical analysis of emerging journalistic genres. Her work reveals how rhetorical strategies in political commentary and fact-checking shape democratic discourse and influence public understanding of truth and knowledge. Bengtsson is currently Principal Investigator of the Carlsberg Foundation-funded project "Tell me the Truth: Fact-Checkers in an Age of Epistemic Instability" (2022-2025), which examines fact-checking as a rhetorical practice rather than an objective truth-telling activity. Her publications reveal a consistent focus on the intersection of rhetoric, media, and democracy, with recent work exploring algorithmic systems, platform governance, and the evolving nature of journalistic practices in digital environments. Her scientific awards include travel grants from the Augustinus Foundation, Oticon, and FMKJ in 2012. Bengtsson has received significant media attention for her expertise, with 11 media contributions spanning from 2010 to 2024, including appearances on DR's P1 radio program discussing fact-checking. Previously, she served as Associate Professor at Roskilde University (2020-2021) and Assistant Professor there (2017-2020). She has been involved in major research projects including "Cultural publics. A Study of the Opinion- and People's Pages of Danish Newspapers from 1908-2018" and "Datafied News Media – Datafied Publics?" examining journalism's future in the age of datafication. Her extensive academic network is demonstrated through participation in numerous international conferences and workshops focused on rhetoric and argumentation.

Monica Agrawalمشاهده پروفایل

استادیار

• Biostatistics
• Bioinformatics
• Machine Learning for Health
• +۱۱ مورد دیگر

Monica Agrawal is an Assistant Professor at Duke University with joint appointments in the Division of Translational Biomedical (Biostatistics & Bioinformatics), Trinity College of Arts & Sciences (Computer Science), and Pratt School of Engineering (Biomedical Engineering). Holding a Ph.D. from MIT (2023), her work bridges machine learning, clinical data analysis, and health equity through biomedical AI systems. Research Focus: Combines natural language processing, graph networks, and EHR analysis to address medical challenges. Key areas include polypharmacy side effects, health knowledge graphs, and human-AI collaboration in clinical settings. Scientific Contributions: Pioneering applications of large language models in health equity promotion, clinical information extraction, and EHR-based research. Collaborates with Harvard Medical School and Harvard School of Public Health on translational health projects. Teaching: Instructs courses on natural language processing (COMPSCI 572) and research independent study (COMPSCI 393/394), emphasizing hands-on AI development for healthcare. Recent Publications: Explore medical conversational AI, ambient scribing tools, and LLM safety in clinical communication. Her 2025 paper on health equity highlights AI's potential to reduce disparities.

• Natural Language Processing (NLP)
• Machine Learning
• Knowledge Representation
• +۳ مورد دیگر

Bhuwan Dhingra is an Assistant Professor of Computer Science at Duke University's Trinity College of Arts & Sciences. He focuses on Natural Language Processing (NLP) , machine learning , and knowledge representation , with specific interests in question answering , robustness to adversarial inputs , and model calibration . 2020 : Ph.D. in Language Technologies from Carnegie Mellon University 2013 : Master's Thesis on Local Quadrature Reconstruction on Smooth Manifolds at IIT Kanpur His research includes temporal language models , adversarial robustness , and combating misinformation . He leads the ALTER-Math NSF-funded project (2024-2027) and collaborates on CC* Integration-Large (2025-2027) for distributed GPU systems. His 2025 work on adversarial perturbations and 2024 studies on table understanding in materials science highlight his focus on LLM reliability and structured data integration . Notable awards include the Amazon Research Award (2022), NSF Medium Grant (2022), and Google Research Gift (2021). He advises PhD students like Rich Stureborg and undergraduates such as Angikar Ghosal (now at Stanford PhD). Teaching graduate courses like Introduction to NLP and Advanced NLP , he emphasizes long-form QA and collaborative writing in NLP.