جست‌وجوی استاد و پژوهشگر

• Digital Health Transformation
• E-Health Systems
• Natural Language Processing
• +۳ مورد دیگر

Annette McElligott is an Associate Professor in the Department of Computer Science & Information Systems at the University of Limerick. Her work spans digital health transformation, eHealth systems, natural language processing (NLP), and cognitive styles in computer science education. She has contributed to multilingual ontology development, technical text analysis, and Irish-English language technology. Her research interests include systemic digital change in healthcare, the adoption of ePrescribing in primary care, and cognitive assessment of computer systems students. She has pioneered interactive approaches to multilingual concept ontologies and explored distributed representations for cross-lingual lexical analysis. Her publications range from foundational NLP work in the 1990s (e.g., software manual parsing using link parsers) to recent studies on digital health education programs. She has collaborated on projects involving the Princeton WordNet extension, industrial parsing frameworks, and Irish language computational tools. No scientific awards or active grants are explicitly listed in the provided materials. Her advising record remains unreported here. She maintains a focus on bridging technical communication, healthcare informatics, and language technology through interdisciplinary approaches.

Sedat MADENمشاهده پروفایل

استاد

• Turkish Language Education
• Basic Language Skills
• Teaching Methods and Techniques
• +۶ مورد دیگر

Prof. Dr. Sedat MADEN is a Professor of Turkish Education at Bayburt University's Faculty of Education and currently serves as the Dean of the Faculty. He holds a PhD from Atatürk University on the impact of drama methods in Turkish language education. His research focuses on basic language skills, teaching methodologies, digital literacy, and Turkish as a foreign language. MADEN has authored over 90 journal articles, 30 books, and 6 encyclopedia entries, with his work cited over 2,000 times. He has held roles including Deputy Dean, Research Center Manager (BAYÜTÖMER), and editorial positions at journals like Karadeniz Sosyal Bilimler Dergisi. His administrative leadership includes managing academic departments, faculty boards, and representing Turkey in international educational organizations such as TÜBİTAK and ÖSYM. Education: BEd (Summa Cum Laude) from Atatürk University's Education Faculty (2004), MA (2007) and PhD (2010) in Turkish Education. His teaching career began in 2004 as a secondary school teacher, progressing through academic ranks to Professor at Bayburt University since 2016. Research Interests: Combines traditional pedagogy with modern digital tools. Key areas include curriculum design, multicultural education, media literacy, and innovative assessment methods. His recent articles analyze global issues in textbooks, chatbot applications in language learning, and digital storytelling for teacher trainees. Publications: Over 90 peer-reviewed articles in indexed journals (Web of Science, TR Dizin), 30 books on educational theory/practice, and 6 encyclopedia entries. His work emphasizes practical solutions to Turkish language education challenges, such as improving listening/speaking skills through active learning strategies. Awards: Recognized as one of Turkey's top 2,700 most cited academics. His contributions to educational policy and teacher training have earned institutional accolades and leadership roles in national education councils. Grants & Advising: Managed numerous educational projects funded by national agencies. Advised on curricula for foreign language learners and digital literacy initiatives. Supervised dozens of MA/PhD theses focusing on Turkish language pedagogy and educational technology integration.

Vera Schmittمشاهده پروفایل

استادیار

• Natural Language Processing
• Artificial Intelligence
• Human-Computer Interaction
• +۶ مورد دیگر

Dr. Vera Schmitt is an Assistant Professor and leads the XplaiNLP research group at the Quality and Usability Lab (Q&U) of Technische Universität Berlin. She established the XplaiNLP group in 2023 through third-party funding and focuses on NLP, AI explainability, HCI, and legal aspects of AI systems, particularly in disinformation detection and medical data processing. She holds a BA in Political and Administrative Sciences from the University of Konstanz, a Master's in Data Science from Leuphana University Lüneburg, and a PhD from TU Berlin on data protection economics. Her research spans NLP (misinformation detection, text anonymization), data synthesis (medical records), XAI (natural language explanations), HCI (collaborative AI systems), and usable privacy (economic perspectives of privacy). She has secured over €4.1 million in third-party funding, including the €1.4 million BMBF grant for her AI junior research group. Current projects include VERANDA (medical data anonymization), NEWS-POLYGRAPH (disinformation), and FakeXplain (AI fact-checking). Her work emphasizes ethical AI alignment with regulations like the AI Act and GDPR. Teaching includes seminars on usable privacy, AI ethics, and advanced statistics. She collaborates with institutions like DFKI’s SLT group and has published extensively on topics ranging from privacy nudges to multimodal fake news detection.

Andrea Di Sorboمشاهده پروفایل

پژوهشگر

• Software Security
• Blockchain Technologies
• Natural Language Processing
• +۷ مورد دیگر

Andrea Di Sorbo is a Fixed-Term Researcher in the Department of Engineering (DING) at the University of Sannio (Unisannio), Italy. His academic work focuses on computer engineering with specialization in software security, blockchain technologies, and natural language processing applications in software development. Dr. Di Sorbo's research spans multiple critical areas within computer science and software engineering. He has developed significant expertise in software security, with particular focus on mobile application security, vulnerability analysis, and privacy protection in social networks. His work also encompasses blockchain technologies and smart contract development, where he has conducted systematic literature reviews identifying current problems and possible solutions. Additional research areas include IoT security, anomaly detection, and UAV software safety analysis, demonstrating his commitment to addressing security challenges across diverse computing platforms. His publication record shows a strong trend toward empirical software engineering research with practical applications. The research portfolio spans both theoretical frameworks and real-world implementations, often involving systematic literature reviews of 90+ articles and empirical studies of actual software systems. His work frequently examines the trade-offs between security, performance, and usability in modern software systems. Published in reputable journals including THE JOURNAL OF SYSTEMS AND SOFTWARE and INFORMATION AND SOFTWARE TECHNOLOGY Authored or co-authored 42 publications between 2015-2024 Developed tools like DECA (Development Emails Content Analyzer) and NEON (NLP-based Software Documentation Analyzer) Dr. Di Sorbo collaborates extensively with researchers including Gerardo Canfora, Corrado Aaron Visaggio, Massimiliano Di Penta, and Sebastiano Panichella. His research has gained significant attention with several publications accumulating over 100 citations, reflecting the impact of his work in the software engineering community.

Akhilesh Bajajمشاهده پروفایل

استاد

• Business Information Systems
• Management Information Systems (MIS)
• Database Modeling
• +۱۲ مورد دیگر

Akhilesh Bajaj is the Genave King Rogers Dean of the Collins College of Business and Professor of Business Information Systems at The University of Tulsa. He holds the Chapman Endowed Chair in MIS and has been a key academic and administrative leader since joining the university in 2003. He previously served as Director of the School of Accounting & BIS, Interim Department Chair, and Faculty Senate President, demonstrating deep institutional engagement. Ph.D., Management Information Systems, University of Arizona (1997) MBA, Cornell University (1991) B.Tech, Chemical Engineering, IIT Bombay (1989) His research spans requirements modeling, database and systems design, AI in business, socio-technical systems, and corporate governance . He investigates how information systems enhance organizational performance, with a focus on workflow efficiency, knowledge codification, and decision-making. His interdisciplinary work integrates cognitive theories, social network metrics, and data-centric methodologies. His recent publications explore CEO power, LLMs, CSR, and managerial ability, appearing in top journals like Management Science , JAIS , and IEEE TKDE . His work reflects a strong trajectory in both theoretical modeling and empirical validation, often involving collaborations with students and colleagues. Association of Information Systems Distinguished Member (2025) Faculty Senate Resolution of Appreciation (2022) Collins College Teaching Award (2019) Chapman Endowed Chair (2005–present) National Talent Scholarship (1983) He has advised multiple Ph.D. students and led major research initiatives, including a DoD-funded project on technology insertion in small manufacturers. He has served on numerous university committees, chaired national conferences, and contributed to editorial boards of leading journals. He is actively involved in professional service, including NSF review panels and advisory roles in international conferences. Bajaj leads research teams focused on information systems development, AI applications, and organizational performance. His lab integrates systems analysis with behavioral and economic models, fostering interdisciplinary collaboration across business, engineering, and social sciences.

Canan Nimet MERTمشاهده پروفایل

استادیار

• Turkish Education
• Curriculum Development
• Prosody in Language Teaching
• +۳ مورد دیگر

Canan Nimet MERT is an Assistant Professor at Adiyaman University's Faculty of Education, Department of Turkish and Social Sciences Education. She joined the university in 2013 as a Research Assistant and was promoted to her current position in 2023. Her academic journey includes a PhD in Turkish Education from Atatürk University (2016–2021), an MA (2013–2016), and a BA in Turkish and Social Sciences Education (2007–2011). Her research focuses on Turkish pedagogy, prosody in language teaching, curriculum design, and educational technologies. Notable projects include investigating cooperative learning’s impact on questioning skills and digital storytelling’s role in prosody education. She has contributed to studies on curriculum analysis, classical literature integration in schools, and readability assessments of children’s stories. Mert has authored or co-authored books such as INTERNATIONAL RESEARCH IN THE FIELD OF EDUCATIONAL SCIENCES XII (2022) and World Literature with Examples (2015). Her work emphasizes practical applications, such as proposing models for classical Turkish texts in secondary education and addressing lexical challenges like synonyms in Turkish textbooks.

• Finance
• Corporate Finance
• ESG Ratings
• +۶ مورد دیگر

Florian Kiesel is an Associate Professor of Corporate Finance at the Free University of Bolzano-Bozen, with significant research contributions across multiple finance disciplines. Primary affiliations: Free University of Bolzano-Bozen Collaborative institutions: University of Edinburgh Business School, Grenoble Ecole de Management, Technical University of Darmstadt His research focuses on intersections between credit ratings , ESG/sustainable finance , and M&A dynamics , often employing textual analysis and market reaction studies . Key themes include: Geopolitical risk impacts on capital markets Rating agency influence on investment decisions Sustainability signaling in venture capital Climate policy implications for debt pricing Information content of financial disclosures Recent work examines climate change risk and carbon intensity in bond markets, while long-standing contributions analyze bank consolidation and credit allocation mechanisms . Collaborates extensively with international scholars like Sascha Kolaric and Dirk Schiereck.

Tina Seufertمشاهده پروفایل

استاد

• Educational Psychology
• Instructional Science
• Self-Regulated Learning
• +۷ مورد دیگر

Prof. Dr. Tina Seufert is a full Professor for Research on Learning and Instruction at the University of Ulm, affiliated with the Faculty of Engineering, Computer Science and Psychology. Since 2022, she has served as Scientific Director of the School of Advanced Professional Studies (SAPS). She previously held leadership roles including Dean of the Faculty (2013–2016) and Director of the Institute for Psychology and Education (2009–2013). Research Interests: Self-regulated learning and cognitive load Promoting knowledge acquisition with multiple representations (multimedia research) Instructional Design for Online-based Continuing Education Influence of learner characteristics Learning with VR Promotion of learning strategies Measurement of cognitive load Her recent publications show a strong focus on integrating cognitive load theory with self-regulated learning, refining measurement tools, and enhancing multimedia instruction through disfluency, coherence training, and individual differences. Her work bridges theoretical psychology and practical instructional design, particularly in digital and continuing education contexts. Scientific Service and International Engagement: Assistant Editor, Instructional Science (since 2018) Member, European Association for Learning and Instruction (EARLI) since 1998 Coordinator, EARLI SIG 6 'Instructional Design' (2007–2011) Active participant in program and organizing committees for EARLI SIG conferences on Text and Picture Comprehension and Instructional Design She advises graduate students and leads research in instructional psychology, though specific advisees are not listed. Her work is supported by academic grants implied through publication output and leadership roles. She leads a research group focused on learning and instruction, contributing significantly to the development of evidence-based teaching practices.

Daniel Wiechmannمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Computational Psycholinguistics
• Explainable AI
• +۵ مورد دیگر

Dr Daniel Wiechmann is a researcher at the University of Amsterdam's Faculty of Humanities, Department of Literature and Language Science, affiliated with the Institute for Logic, Language and Computation (ILLC). His primary focus lies in Natural Language Processing with applications in mental health informatics and computational psycholinguistics. His research interests center on explainable AI for mental health detection , specializing in hybrid models that integrate transformer architectures with psycholinguistic features. He investigates German-language social media analysis (evidenced by SMHD-GER and FANG-COVID datasets), personality detection through verbal behavior, and text simplification techniques. Recent work emphasizes cross-lingual mental disorder classification and feature fusion strategies for improved model interpretability in clinical contexts. Analysis of his 15 most recent publications (2021-2024) reveals a strong trajectory toward multilingual mental health detection systems, with significant contributions to German-language NLP resources. His work consistently bridges computational linguistics and clinical psychology through Hybrid transformer-psycholinguistic model architectures Large-scale dataset creation for mental health screening Explainability frameworks for clinical decision support Dr Wiechmann maintains active research output with 20+ publications since 2021, primarily through the MANTIS research group, focusing on social media-based mental health detection systems and German-language NLP applications.

• Human-Computer Interaction
• Universal Design of ICT
• Web Accessibility
• +۵ مورد دیگر

Evelyn Eika is an Associate Professor at OsloMet – Oslo Metropolitan University , affiliated with the Faculty of Technology, Art and Design within the Department of Computer Science – Human-Computer Interaction and Universal Design of ICT . Her work focuses on improving accessibility and usability in digital systems, particularly for screen reader users and educational technology applications. Academic Rank : Associate Professor Research Groups : Universal Design of ICT (UD-ICT) Research Interests : Evelyn’s research spans Human-Computer Interaction , Universal Design of ICT , and Web Accessibility . She investigates text readability for assistive technologies, student engagement in digital learning environments, and the role of design thinking in engineering education. Recent work includes pragmatic attendance management systems and grammar-checking tools for accessibility. Key Trends in Publications : Her 15 most recent articles (2025–2018) emphasize accessibility , usability , and educational technology , with subfields like screen reader optimization, sentence length analysis, and peer feedback mechanisms in academic writing. Labs & Collaborations : Evelyn collaborates with the Applied Artificial Intelligence and UD-ICT research groups at OsloMet. She works with professors like Frode Eika Sandnes on projects involving web accessibility, educational tools, and user experience studies.

Lora Aroyoمشاهده پروفایل

استاد

• Crowdsourcing and human computation
• Hybrid human-AI systems
• Video understanding and multimedia semantics
• +۴ مورد دیگر

Lora Aroyo is Full Professor in the Department of Computer Science at VU University Amsterdam , leading the Web & Media group and actively contributing to the university’s Network Institute . Her research centers on hybrid human-AI systems for video understanding, crowdsourcing, data quality, and semantic search, with strong impact on digital humanities, cultural heritage, and interactive television. Research Interests: Human computation and large-scale crowdsourcing Hybrid human-AI architectures for multimedia analysis Data quality, annotation reliability, and disagreement modeling Semantic search and recommendation in cultural heritage Responsible AI and pluralistic alignment of generative models Across 2023–2025 her publications reveal a sharp focus on AI safety for generative and multimodal systems, including red-teaming of text-to-image models, evaluation of safety perceptions across demographic groups, and the creation of open benchmarks and datasets to support these goals. Earlier work (2018–2022) addresses video discovery, cultural heritage metadata, and human-centered data practices. Scientific Service & Funding: She has led major Dutch and EU projects in semantic search, event-driven multimedia access, and digital infrastructures for humanities research. She currently serves on the editorial board of PeerJ Computer Science . Labs & Teams: Prof. Aroyo heads the Web & Media group at VU, collaborates closely with the Network Institute , and coordinates interdisciplinary teams spanning computer science, digital humanities, and AI ethics.

Neslihan Iskenderمشاهده پروفایل

پژوهشگر

• Crowdsourcing
• Human-Computer Interaction
• Natural Language Processing
• +۳ مورد دیگر

Neslihan Iskender is a researcher at the Quality and Usability Labs of Technical University of Berlin since May 2017, focusing on crowdsourcing methodologies for quality assessment and natural language processing. She holds a BSc and MSc in Industrial Engineering from Karlsruhe Institute of Technology, with a specialization in technology and innovation management. Research Areas: Crowdsourcing for quality evaluation, hybrid human-machine workflows, real-time interaction systems, usability/UX/QoE assessment, and internal crowdsourcing in corporate environments. Teaching: Co-teaches courses in Quality & Usability, Interdisciplinary Media Projects, and Usability Engineering exercises since SS 2018. Projects: Leads ERICS (EIT-Digital refugee communication service), contributes to DEKA (digital innovation platform), OurPuppet (caregiver support systems), and ICU (employee participation solutions). Contributions: Published 11+ peer-reviewed works between 2019-2021 on crowdsourcing reliability, chatbot UX, German summarization metrics, and hybrid NLG workflows.

• Social Sciences
• Education and Educational Research
• Elementary School Education
• +۱ مورد دیگر

Assoc. Prof. YASİN ÖZKARA is an academic in the Faculty of Education at Akdeniz University , specializing in Primary Education . His work focuses on Turkish language instruction, narrative writing, and pedagogical strategies for elementary education. PhD in Classroom Teaching from Gazi University (2002-2007) MA in Classroom Teaching from Selcuk University (2000-2002) BSc in Classroom Teaching from Selcuk University (1995-1999) Research interests include analytical writing models , reading comprehension , creative writing strategies , and literacy assessment . His work examines readability in Turkish textbooks, punctuation skills, and the Montessori method in early literacy. He has also investigated humor integration in Turkish teaching and self-perception in primary students. Key publication trends include applications of the 6+1 Analytical Writing Model , story mapping techniques , and self-regulated learning strategies in primary classrooms. He has supervised 13 postgraduate theses on topics like reading motivation and creative writing. Author of 2 books (2009, 2018) Contributor to 36 WoS-indexed publications Peer reviewer for journals like Journal of Eurasian Language Education Former roles include Director of Serik Gülsün-Süleyman Süral Vocational School (2012-2016) and Head of Turkish Language Department (2009-2016). He holds a B2 Upper Intermediate proficiency in English.

Felix Hermoniesمشاهده پروفایل

استاد

• Data Protection Law
• Media Law
• European Law
• +۲ مورد دیگر

Prof. Dr. Felix Hermonies serves as Professor in the Department of Communication at Darmstadt University of Applied Sciences, specializing in legal frameworks for digital environments. His academic profile integrates practical legal experience with scholarly research in evolving technological contexts. Research focuses on Data Protection Law , Media Law , and European Law , particularly examining AI's legal implications, pandemic-era data processing, and surveillance technologies. His work bridges theoretical jurisprudence with real-world applications in sports, retail, and public administration. Recent publications demonstrate consistent engagement with emerging legal challenges, showing strong thematic continuity in data governance across sectors. Key trends include adapting privacy principles to AI systems, balancing security needs with fundamental rights in surveillance contexts, and developing practical compliance frameworks for public institutions. Professional background includes legal practice for national/international entities and expertise in IT law certification. He actively contributes to scholarly discourse through book chapters and critical reviews of legal informatics literature.

Sergio Rodriguez Mendezمشاهده پروفایل

پژوهشگر ارشد

• Knowledge Graphs
• Ontology Engineering
• Linked Data & Semantic Web
• +۷ مورد دیگر

Sergio Rodriguez Mendez is a Research Fellow in Knowledge Graph Engineering at the School of Computing, Australian National University. His work focuses on advancing ontology engineering, linked data, semantic web technologies, and their applications in domains like astronomy, brain-computer interfaces, and IoT. He is a member of the Australian Government Linked Data Working Group (AGLDWG) and the W3C Knowledge Graph Construction Community Group, and holds a senior role at the Software Innovation Institute (SII). His research interests include Knowledge Graphs, Ontology Engineering, Linked Data, Data Science, Machine Learning, Natural Language Processing, Brain-Computer Interfaces, IoT, Cloud/Fog/Edge Computing, and Software Engineering. He has contributed to frameworks like pathfinder for astronomical literature review and Doc-KG for document-to-KG conversion. Recent work emphasizes integrating large language models (LLMs) with knowledge graphs, such as AstroLLaVA for astronomical data unification and hybrid frameworks for entity linking. His publications span conferences like WWW, JCDL, and the ACM/IEEE Joint Conferences. He actively supervises research students and is involved in initiatives like the ASKG project for enriching scholarly knowledge graphs. His work addresses challenges in semantic data representation, automated query processing, and syntactic complexity reduction, with a focus on domain-specific applications in science and cultural heritage.