جست‌وجوی استاد و پژوهشگر

• Information Systems
• Healthcare IT
• Knowledge Management
• +۵ مورد دیگر

Atreyi Kankanhalli is a Professor at the National University of Singapore, specializing in Information Systems with a focus on knowledge management, healthcare IT, and digital innovation. Their research spans over three decades, with prolific contributions in top journals like MIS Quarterly, Journal of AIS, and Information & Management. They have co-authored over 150 papers addressing topics such as crowdsourcing, online communities, and the impact of AI on scholarly practices. Notable work includes studies on user adherence to health apps, innovation in public sector data utilization, and the ethical challenges of generative AI in peer review. Kankanhalli has also led research on global virtual teams and digital technologies' role in social justice, reflecting a commitment to both technical and societal dimensions of information systems. Education & Background: While specific degree details are not provided, their extensive publication history and academic roles imply advanced qualifications in Information Systems or related fields. They have collaborated with global researchers across institutions like NUS, University of Illinois, and Singapore Management University. Research Themes: Core areas include digital health interventions (e.g., fitness app adherence), organizational innovation via open data and crowdsourcing, and the socio-technical challenges of AI in academia. Their work often bridges theoretical frameworks with practical applications, such as healthcare decision support systems and policy-driven technology adoption. Impact & Influence: As an editorial board member and frequent conference contributor (e.g., ICIS, PACIS), Kankanhalli shapes the field's research agenda. Their recent focus on generative AI's implications highlights proactive engagement with emerging technologies' ethical and methodological challenges.

• Marketing Analytics
• Electronic Commerce
• Online Advertising
• +۱۱ مورد دیگر

Prof. Dr. Bernd Skiera holds the first chair for electronic commerce in Germany at Goethe University Frankfurt am Main since 1999. He serves on the board of efl - The Data Science Institute and the Schmalenbach Society, while representing Germany at the European Marketing Community (EMAC). Chair of Marketing, Goethe University Frankfurt am Main Board member, efl - The Data Science Institute National representative, European Marketing Community (EMAC) His research focuses on MarTech/SalesTech integration, customer value management, online advertising analytics, data-driven pricing models, and the economic implications of internet privacy regulations. He leads the ERC Advanced Grant project on cookie usage restrictions' economic consequences. Recent publications examine dynamic pricing in digital markets, competition visualization using big data, and AI applications in marketing analytics. The ERC Advanced Grant research has produced empirical analyses of GDPR impacts on advertising ecosystems. 2015 Journal of Marketing Best Paper Award 2013 International Journal of Research in Marketing Best Paper Award Multiple MSI/H. Paul Root Award recognitions He has mentored 17 doctoral students who became professors globally, including at London Business School and LMU Munich. His work bridges marketing analytics with financial valuation through customer equity modeling.

• Marketing Analytics
• Electronic Commerce
• Online Advertising
• +۸ مورد دیگر

Prof. Dr. Bernd Skiera is a leading Marketing Professor at Goethe University Frankfurt since 1999 and a member of the managing board of the efl - The Data Science Institute. His work bridges information systems and marketing, with a focus on data-driven decision making and digital transformation.

Stefania Degaetano-Ortliebمشاهده پروفایل

دانشیار

• Computational Linguistics
• Corpus Linguistics
• Sociolinguistics
• +۶ مورد دیگر

Stefania Degaetano-Ortlieb is an Associate Professor of English Linguistics and Corpus Linguistics at Saarland University's Department of Language Science and Technology. She serves as Principal Investigator for the Collaborative Research Center (SFB 1102) 'Information Density and Linguistic Encoding,' leading Project B1 on diachronic information density in English scientific writing (17th century-present). Her interdisciplinary work bridges computational methods with sociolinguistics, focusing on register variation, language change, and digital humanities. Research interests center on text mining, data analytics, and probabilistic modeling of language variation. Key areas include: Diachronic evolution of scientific registers and linguistic densification Information-theoretic approaches to language efficiency Computational sociolinguistics and register diversification AI applications in humanities education (e.g., ChatGPT integration) Her publications show a strong trend toward quantitative diachronic analysis, with recent work emphasizing: interpretable AI models for linguistic change detection; propagandistic narrative analysis in conflict zones; and multi-word expression dynamics in scientific discourse. Cross-disciplinary collaborations frequently intersect with history, psychology, and media studies. Awards include the Fellowship Excellence Program for Young Female Scientists (2015-2018). Current grants: EU Horizon MSCA Doctoral Network 'CASCADE' (€521K to UdS, 2024-2027) Data-Pin Project for AI in education (€50K, 2023-2024) SFB 1102 Project B1 (€595K, 2022-2026) Advises PhD candidates in the EU CASCADE project on computational semantic change. Leads a research team exploring Russian media narratives, personality modeling in LLMs, and multi-word expressions. Directs teaching modules integrating AI tools for humanities students.

• Machine Learning
• Computer Vision
• Signal Processing
• +۶ مورد دیگر

Dongwook Kim is affiliated with the Korea Advanced Institute of Science & Technology (KAIST) as a faculty member in the Department of Business and Technology Management under the College of Business. His research spans multiple domains including machine learning, robotics, signal processing, and biomedical engineering. Key contributions in Computer Vision (CNN-based semantic segmentation, 3D point cloud analysis) Significant work in Hardware Design (energy-efficient processors, neuromorphic computing) Interdisciplinary expertise in Medical Imaging (bone age assessment, retinal biomarkers) and Cybersecurity (attack detection, network analytics) Publications since 2015 demonstrate sustained innovation in AI applications , Signal Processing , and Smart City Governance . His work often integrates theoretical advances with practical implementations in real-world systems. No scientific awards or student mentorship details are explicitly documented in the provided records.

Karin Jacobsمشاهده پروفایل

استاد

• Soft Matter Physics
• Condensed Matter Physics
• Surface Physics
• +۸ مورد دیگر

Karin Jacobs is a Professor in the Department of Physics at Saarland University, where she leads the research group for soft matter physics within the Faculty of Natural Sciences and Technology. Her work bridges experimental physics and applied materials science, focusing on interfacial phenomena, thin films, and functional materials. Research Interests: Her group investigates the stability of coatings, properties of simple and complex fluids, and the adhesion of biomolecules on surfaces. Using advanced experimental techniques such as atomic force microscopy (AFM), ellipsometry, surface plasmon resonance spectroscopy, optical microscopy, and ultra-high vacuum (UHV) methods like photoelectron spectroscopy, her team probes nanoscale and microscale interactions at solid-liquid and solid-gas interfaces. The research spans fundamental and applied domains, including the synthesis and characterization of graphene and boronitrene, production of water-in-water vesicles using hydrophobins, and bacterial adhesion studies. These investigations are often linked to industrial applications in the paint, semiconductor, and biomedical sectors. Publication Trends: Over the past 15 years, her publications reflect a consistent focus on surface physics and soft matter. Key themes include graphene synthesis via liquid precursor deposition (including unconventional sources like fingerprints), interfacial rheology, biopolymer adsorption, and quantitative imaging analysis. The interdisciplinary nature of her work is evident in the combination of physics, chemistry, and biological interfaces. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: As head of an active research group, Prof. Jacobs supervises graduate students and postdoctoral researchers, though specific names are not listed. Her collaborations with theoretical groups and external institutions (e.g., University of Augsburg) suggest participation in joint grants and funded projects, particularly in nanomaterials and surface science. The applied orientation of her research indicates engagement with industry partners in coatings and semiconductor technologies. Labs and Teams: The Jacobs Group operates a well-equipped experimental laboratory at Campus E2 9, Saarland University, specializing in surface analysis and soft matter characterization. The team includes researchers working on biofilms, microfluidics, and functional materials, supported by technical and administrative staff.

Stefano Noventaمشاهده پروفایل

پژوهشگر ارشد

• Mathematical Psychology
• Psychometrics
• Psychophysics
• +۷ مورد دیگر

Stefano Noventa is a Research Fellow at the Methods Center, Department of Social Sciences, Faculty of Economics and Social Sciences, University of Tübingen. He has held multiple postdoctoral positions at the University of Tübingen and previously at the University of Verona and the University of Padova. Education: Ph.D. in Cognitive Psychology, University of Padova (2011) M.Sc. in Physics, University of Padova (2006) Studies in Physics, University of Padova (1999–2006) International Visiting Graduate Student, University of Toronto (2009, 2010) Dr. Noventa's research lies at the intersection of mathematical psychology, psychometrics, and psychophysics, with a focus on developing and unifying quantitative models of human cognition and assessment. His work integrates Item Response Theory (IRT) and Knowledge Space Theory (KST) to create more robust frameworks for educational and psychological measurement. He investigates latent variable models, probabilistic knowledge structures, and the identifiability of complex psychometric models, often applying these to domains such as education, organizational psychology, and entrepreneurship. His recent publications (2020–2024) demonstrate a strong trend toward theoretical integration, particularly in bridging cognitive diagnosis models with traditional psychometric frameworks. The articles emphasize mathematical rigor, model generalization, and empirical validation, with applications in both cognitive science and applied psychology. Topics include the unification of assessment models, parameter estimation under local dependence, and the modeling of intuitive physical reasoning. Scientific Awards: No awards or honors listed in the provided text. Dr. Noventa has not been explicitly mentioned as an advisor to students, but he has served as a corresponding author and collaborator on multiple research projects, indicating a leadership role in research teams. He has been involved in a DFG-funded project (GLI NON-NORM) since 2019, suggesting active grant participation. His work is highly collaborative, involving researchers from Germany, Italy, Austria, and Canada. Labs and Research Groups: Methods Center, University of Tübingen Hector Institute of Education Science and Psychology, University of Tübingen Center of Assessment, University of Verona Department of General Psychology, University of Padova

Nele McElvanyمشاهده پروفایل

استاد

• Educational Psychology
• Literacy Research
• Reading Comprehension
• +۵ مورد دیگر

Nele McElvany serves as Professor of Empirical Educational Research and Vice Rector for Research at TU Dortmund University, where she has been Executive Director of the Institute for Research on Education and School Development (IFS) since 2014. Her academic career spans leadership roles in major educational research initiatives and significant contributions to understanding literacy development, educational assessment, and the intersection of migration and education within the Faculty of Educational Sciences, Psychology and Educational Research. Her research focuses on teaching and learning in school contexts, assessment and promotion of literacy skills, education in relation to migration and social inequalities, teacher competencies, and large-scale educational assessments. Professor McElvany's work particularly emphasizes reading comprehension development across diverse student populations, vocabulary acquisition mechanisms, and the impact of educational interventions on student outcomes. Her methodological expertise spans longitudinal studies, large-scale assessments, and experimental interventions. Analysis of her publication record reveals consistent engagement with international comparative studies, particularly the Progress in International Reading Literacy Study (PIRLS/IGLU), alongside growing attention to contemporary challenges like the educational impact of the COVID-19 pandemic. Her research demonstrates methodological sophistication through integration of qualitative and quantitative approaches to examine how family background, migration status, and educational policies affect learning outcomes. Professor McElvany leads numerous significant research projects including the Progress in International Reading Literacy Study 2026, the National Educational Panel Study (NEPS), and various initiatives focused on reading promotion through AI, teacher development, and educational equity. She serves on multiple national and international committees including as Chairwoman of the NEPS Network Committee and member of the Scientific Advisory Board of Stiftung Lesen.

Cornelius Puschmannمشاهده پروفایل

استاد

• Computational Communication Research
• Digital Media Usage
• Hate Speech
• +۵ مورد دیگر

Cornelius Puschmann is a Professor of Communication and Media Studies at the University of Bremen's ZeMKI, leading the Digital Communication and Information Diversity (DCID) Lab. He has held affiliations with institutions including Zeppelin University, the Alexander von Humboldt Institute for Internet and Society, and the Leibniz Institute for Media Research / Hans Bredow Institute. His research focuses on computational communication, digital media usage, hate speech, and algorithmic impacts on digital communication. Current projects: Informed by Influencers? (INDI), Political Polarization and Individualized Online Information Environments (POLTRACK) Member of Deutsche Gesellschaft für Publizistik- und Kommunikationswissenschaft (DGPuK), European Communication Research and Education Association (ECREA), and International Communication Association (ICA) His recent publications explore topics such as alternative news consumption, political polarization, and communicative AI. He has also contributed to open-source methodologies like the RPC-Lex dictionary for analyzing right-wing populist discourse. Notable affiliations include visiting scholar roles at the Oxford Internet Institute, Berkman Klein Center for Internet and Society, and University of Amsterdam's Department of Media Studies.

Lisa Zehnterمشاهده پروفایل

پژوهشگر

• Populism
• Political Communication
• Computer-Assisted Text Analysis
• +۳ مورد دیگر

Lisa Zehnter is a Researcher at the Center for Civil Society Research within the WZB Berlin Social Science Center, where she contributes to the Manifesto Project—an international initiative analyzing election manifestos from over 60 countries to map party positions and preferences. Her role centers on political communication research using computational text analysis methodologies. Her academic background includes: Doctorate in Populist Political Communication, Humboldt University Berlin Master's Degree in Social Sciences, Humboldt University Berlin Bachelor's Degree in German Literature and Social Sciences, Humboldt University Berlin (with a semester abroad at the University of Gothenburg) Zehnter specializes in the intersection of populism, political discourse, and computational social science. Her work employs advanced text analysis to dissect election manifestos and political communication strategies, particularly examining populist rhetoric, gender-fair language usage, and crisis responses like the pandemic. She develops hybrid methodologies combining manual and automated coding to enhance analytical precision in large-scale textual datasets. Her 2021-2025 publications reveal a concentrated focus on German politics—especially the Alternative for Germany (AfD) party—and cross-national manifesto analysis through the Manifesto Project. Key trends include methodological innovations in text analysis, scrutiny of populist communication during crises, and longitudinal studies of party positioning in European democracies. No scientific awards were documented in the source material. No information regarding student advising or research grants was provided in the available text. She actively participates in the Manifesto Project (MARPOR), the Observatory of Political Texts in European Democracies (OPTED), and a collaborative initiative on hybrid text analysis coding techniques, working within international research teams to advance political text analysis frameworks.

Martin Grossمشاهده پروفایل

دانشیار

• Party competition
• Coalition politics
• Political representation
• +۶ مورد دیگر

Martin Gross is an Associate Professor (Akademischer Rat auf Lebenszeit) for Political Systems and European Integration at the Geschwister Scholl Institute of Political Science, Ludwig Maximilian University of Munich. Previously, he served as Professor for Comparative Political Science (pro tempore, 2020-2021) and Professor for Political Systems and European Integration (pro tempore, 2019-2020 and 2023) at the same institution. He was also an External Fellow of the Mannheim Centre for European Social Research (MZES) at the University of Mannheim from 2017-2019. His educational background includes: PhD in Political Science from Friedrich Schiller University Jena (2015) Master of Arts in History and Politics of the 20th Century from Friedrich Schiller University Jena (2008-2010) Bachelor of Arts in Political and Administrative Science from University of Konstanz (2005-2008) Habilitation on 'Dynamic party competition in European multi-level systems' from Ludwig Maximilian University of Munich (2022) Martin Gross's research focuses on party competition, coalition politics, and policy outputs in multi-level systems; local politics; EU Cohesion policy; political representation and responsiveness; and text analysis. His work examines how political parties behave across different governmental levels, with particular attention to German local politics. He has conducted extensive research on coalition formation, especially between the CDU and Greens in German cities, and has investigated patterns of political representation at the municipal level. His recent publications demonstrate a strong empirical focus on local politics, coalition formation, and representation in multi-level systems. His methodological approach combines quantitative text analysis with traditional political science methods to examine party manifestos, coalition agreements, and parliamentary questions. His work has been published in top political science journals including West European Politics, Party Politics, and Regional & Federal Studies. Martin Gross has received recognition for his work, including an award for the best dissertation in political science in 2015 at the Friedrich Schiller University Jena. His dissertation on coalition formation processes was published with Springer VS. He currently leads multiple research projects funded by the German Research Council (DFG) and the LMU Innovation Fund, focusing on intra-party conflict regulation, independent local lists, and the politicization of sports. Together with Michael Jankowski, he leads 'The Local Manifesto Project (LMP),' a resource for analyzing local party competition through computational text analysis methods. He has taught numerous courses at LMU Munich on comparative politics, local politics, coalition governments, and European integration.

Michael Veitمشاهده پروفایل

دانشیار

• Virology
• Viral Cell Biology
• Virus–Host Membrane Interactions
• +۵ مورد دیگر

PD Dr. Michael Veit is an Associate Professor (Privatdozent) at the Institute of Virology, School of Veterinary Medicine, Freie Universität Berlin , where he heads the independent Research Group Veit – Cell Biology of Viral Infections . He is a faculty member of the Center for Infection Medicine and participates in the Berlin Equine Virus Lab (BEVL). Education & Training Doctorate (Dr. rer. nat.) in Virology/Biochemistry – exact institution not stated in text. Post-doctoral qualification (Privatdozent) awarded by Freie Universität Berlin. Research Focus Veit’s laboratory investigates the molecular and cellular biology of enveloped RNA viruses , with emphasis on virus–host membrane interactions and post-translational lipid modifications (S-acylation/palmitoylation). His group combines reverse genetics, live-cell imaging, mass spectrometry and structural approaches to dissect how viral glycoproteins are modified, trafficked and assembled into infectious particles. Model pathogens include influenza A, B, C and D viruses, coronaviruses (SARS-CoV-2, MERS-like CoVs, PHEV, PDCoV), arteriviruses (PRRSV, EAV), alphaviruses (Getah, CHIKV-like), and other emerging zoonotic agents. Publication Trends From 2020 to 2025 Veit has published >30 high-impact articles that cluster around four major themes: (i) coronavirus surveillance and zoonotic risk assessment , (ii) mechanistic dissection of protein acylation in influenza and arteriviruses , (iii) structure-function analysis of viral entry receptors (ACE2, LDLR), and (iv) development of reverse-genetic tools and reporter viruses for antiviral screening. Grants & Collaborative Networks Ongoing third-party funded projects coordinated by Veit are not explicitly listed in the text, but the continuous publication output and mention of “Current Collaborations” imply active grant support. He collaborates closely with other FU Berlin groups (Osterrieder, Kaufer, Azab) and international partners on coronavirus and influenza consortia. Laboratory & Teams The Research Group Veit comprises post-docs, PhD students and technicians working in BSL-2 and BSL-3 facilities at the Institute of Virology. Core platforms include confocal & FLIM microscopy, quantitative proteomics, and reverse-genetics suites for segmented RNA viruses.

• Romance Linguistics
• Historical Linguistics
• Dialectology
• +۴ مورد دیگر

Sandra Hajek is a researcher at the Department of Romance Philology, University of Göttingen. She works under the chair of Prof. Dr. Guido Mensching and serves as a scientific assistant in the editorial team of the Zeitschrift für französische Sprache und Literatur (ZFSL) . Current research focuses on: Sprachgeographie/Geolinguistik Dialektometrie Sprachgeschichte Varietätenlinguistik Sprachkontakt Romanische Sprachen in hebräischer Graphie Her publications include monographs on Campanian dialect variation and collaborative studies on Hebrew-scripted Romance glosses. Recent work centers on Judeo-French linguistic traditions, medieval botanical terminology, and dialectometrical analyses of Sardinian and Old Occitan elements. Contact: shajek1@gwdg.de

• Business Informatics
• Artificial Intelligence
• Business Intelligence
• +۱۰ مورد دیگر

Prof. Dr. Harald Ritz serves as Professor of Practical Computer Science, especially Business Informatics, at the Technical University of Central Hesse (THM) within the Department of Mathematics, Natural Sciences and Computer Science since 2003. He holds leadership roles as Chair of Examination Committees for B.Sc. and M.Sc. Business Information Systems and Spokesperson for the MNI department in the Business Informatics Working Group (AKWI). His educational background includes a Diplom in Business Informatics (Dipl.-Wirtsch.-Inform.) and doctorate (Dr. rer. pol.) from the Technical University of Darmstadt, following professional experience at SAP SI AG and a professorship at Heilbronn University of Applied Sciences. Ritz's research centers on AI-driven digital transformation for data-driven enterprises, with focus on the “Data to Decision” value chain encompassing Framing, Allocation, Analytics, and Preparation phases. His work integrates business intelligence, data warehousing, machine learning, and SAP ecosystems to address challenges in SME digitalization, operational IT management, and educational technology. Current projects emphasize AI applications in higher education, including intelligent tutoring systems and automated feedback mechanisms. Analysis of his 15 most recent publications reveals a consistent trajectory toward applied AI solutions in business contexts, particularly in intelligent chatbots for educational support, financial trading algorithms, and cloud-based data infrastructure. The research demonstrates increasing integration of no-code platforms, real-time analytics, and domain-specific AI applications across logistics, banking, and procurement sectors. No scientific awards were documented in the source materials. Professor Ritz actively supervises academic development through bachelor’s and master’s theses, doctoral research, and collaborative projects. Current initiatives include the “Winfy” AI chatbot (v4.0, 2025), AI-based feedback systems for educational content (Freiraum 2025 grant), the frits intelligent tutoring project with Prof. Kammer, and doctoral research on AI adoption in SMEs. His work bridges theoretical research with practical implementation in SAP environments and cloud platforms. He operates within THM’s MNI department infrastructure, collaborating through the Business Informatics Working Group (AKWI) and contributing to the Digital Classroom communication platform for online education.

• Sinology
• Intellectual History of China
• Cultural History of China
• +۳ مورد دیگر

Margarete Darr is a Professor of Sinology at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), holding the Chair for Sinology with a focus on the Intellectual and Cultural History of China. She is a recipient of the prestigious Alexander von Humboldt Professorship. Her office is located at Room 00.314, Hartmannstraße 14, D3, 91052 Erlangen. Research interests center on the intellectual and cultural history of China, combined with innovative applications of algorithms, predictive methodologies, and statistical analysis in humanities research. She bridges traditional Sinological studies with computational approaches, exploring how quantitative tools can illuminate historical and cultural phenomena. No academic articles were explicitly listed in the provided text. Advising and grant activities remain unspecified. She is affiliated with the Institute for Near Eastern and East Asian Languages and Civilizations at FAU, contributing to interdisciplinary research at the intersection of Asian studies and data-driven methodologies.