جست‌وجوی استاد و پژوهشگر

Brigitte Jellinekمشاهده پروفایل

مدرس ارشد

• Web Development
• Software Engineering
• Databases
• +۵ مورد دیگر

FH-Prof. DI Brigitte Jellinek, MSc is a Senior Lecturer and Head of the Academic Area Web & Mobile at Fachhochschule Salzburg GmbH, Department of Creative Technologies. Based at Campus Urstein (Room Urstein-321), she specializes in web development technologies including JavaScript, Ruby on Rails, PostgreSQL, Git, Test Driven Development, and databases. Teaching: Web programming 1 (IL), Backend Development (IL), Multimedia project 2 (PT), Multimediaprojekt 3: Pre-Production (PT), Applied Programming Paradigms (IL), Project 1: Concept & Pitch (PT), Rapid Prototyping (UB), Web Performance Optimisation (IL)

Gabriele Kotsisمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۶ مورد دیگر

Gabriele Kotsis is a Full Professor at the Institute of Telecooperation, Johannes Kepler University Linz, with extensive contributions to Artificial Intelligence research. Her institutional presence spans multiple departments through interdisciplinary projects while maintaining her primary affiliation with JKU's engineering-focused research units. Her research expertise encompasses: Natural Language Processing and Neural Machine Translation systems Reinforcement Learning applications for Smart Grid optimization Mobile Computing and Multimedia Intelligence frameworks Big Data Analytics and Database Systems innovation Human-centered AI development methodologies Recent publications (2024-2025) reveal a strategic focus on practical AI implementations addressing multilingual communication barriers and energy efficiency challenges. Her work consistently bridges theoretical AI advances with real-world applications across multiple domains. Professor Kotsis maintains an active supervision record with thesis guidance and leads multiple funded research initiatives. Her current portfolio includes: 'Enhancing Neural Machine Translation' project (2025-2026) for Southeast Asian languages 'INTES' regulatory compliance ecosystem (2023-2026) 'Human-centered Artificial Intelligence' initiative (2022-2026) Through her leadership in international conferences (iiWAS, MoMM, DEXA) and editorial roles for major proceedings, she maintains significant influence in the global computer science research community while advancing JKU's research profile.

• Business Informatics
• Data Science
• Knowledge Engineering
• +۶ مورد دیگر

Michael Schrefl is a Full Professor at Johannes Kepler University Linz, affiliated with the Institute of Business Informatics - Data & Knowledge Engineering. He serves as Principal Investigator on multiple research projects including AWARE (2024-2026) and AISA (2020-2022), and is actively involved in European research collaborations as both PI and researcher on funded projects. His research interests span across several key areas in modern data science and business informatics: Business Informatics and Digital Transformation Data Science and Knowledge Engineering Database Systems and Data Mining Semantic Technologies and Information Systems Predictive and Prescriptive Analytics Enterprise Computing and Information Systems Professor Schrefl's recent publication activity shows a strong focus on reliability assessment in predictive analytics, conceptual modeling for business intelligence, and applications of data science in Industry 4.0 contexts. His work bridges theoretical foundations with practical applications in enterprise information systems, particularly examining data quality and reliability in predictive models. As an active member of the academic community, Professor Schrefl serves on program committees for major conferences including BI-WEEK, EDOC, and DATA. He has supervised 129 students throughout his career and contributes to educational technology through projects like eTutor++. His research spans multiple fields of science including Knowledge Engineering, IT Security, Web Engineering, and Distributed Systems. Professor Schrefl maintains strong engagement with both academic and public discourse, having given invited talks on AI topics in 2024 and scheduled media appearances including an Ö1 interview on autonomous weapons systems for 2025, demonstrating his commitment to science communication and societal impact of technological developments.