Find Academic Supervisors

• Business Informatics
• Data Science
• Knowledge Engineering
• +6 more

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.

• Assembly Tasks
• Smart Factory Systems
• Cloud Computing
• +2 more

Johann Heinzelreiter serves as an FH-Prof. DI at the University of Applied Sciences Hagenberg, actively contributing to the Assistive Technology Lab and Center of Excellence for Smart Production . His research spans industrial automation, smart factory systems, and cloud computing applications in production environments. His research interests focus on assembly task modeling , low-cost tracking systems for industrial environments, and human-centered workplace design . Heinzelreiter develops practical solutions for real-world manufacturing challenges, particularly in optimizing human-machine collaboration on shop floors through the General Assembly Task Model (GATM) framework. Publication analysis reveals consistent contributions to industrial informatics, with recent work emphasizing smart factory implementation (2019-2020), cloud-based optimization (2014), and digital identity management (2015). His research demonstrates strong industry relevance through COIN Cooperation & Innovation projects. With an h-index of 34, Heinzelreiter has secured significant research funding through multiple COIN projects: Human Centered Workplace (2016-2021) - Co-Investigator Themis - Conserve Your Digital Life (2013-2015) - Principal Investigator BackmeUp - Offline Datensicherung Web 2.0 (2010-2012) - Principal Investigator He collaborates extensively with researchers including Pimminger, Kurschl, and Augstein across production environments and assistive technology domains. His work bridges academic research with practical industrial applications through the Smart Automation and Robotics initiative.

• Bioinformatics
• High Performance Computing
• Intelligent Scheduling
• +4 more

Peter Kulczycki is a researcher at the Research Center Hagenberg Bioinformatics, University of Applied Sciences Hagenberg. He serves as a Researcher specializing in bioinformatics and high-performance computing with expertise in developing computational solutions for biological research challenges. His research interests span multiple domains: Bioinformatics and computational biology High Performance Computing and parallel processing Intelligent scheduling algorithms Resource management systems DNA analysis and primer design Web-based bioinformatics education Dr. Kulczycki's work focuses on bridging computational science and biological research through efficient algorithms and systems for processing complex biological data. He has made significant contributions to scheduling systems that optimize heterogeneous computing resources for bioinformatics applications, with research progression from foundational bioinformatics resources to sophisticated scheduling systems that predict job execution times. His publication record shows consistent focus on computational efficiency in bioinformatics through innovative scheduling approaches, with notable work on heterogeneous multiplatform hardware, DNA primer calculation using GPGPUs, and web-based bioinformatics education frameworks. Dr. Kulczycki served as Principal Investigator for the Bioinformatics Resource Facility Hagenberg project (2009-2012) under the COIN Cooperation & Innovation program. He has been active in academic discourse, delivering invited talks on Evolution and Genetics and the Birth of Life in 2007. His research collaborations include G. Lirk, H. Brandstätter-Müller, B. Parsapour, and A. Hölzlwimmer on various bioinformatics projects.

• RAF Kinase Signaling
• Inflammatory Response Regulation
• Cancer Biology
• +3 more

Manuela Baccarini is a Professor at the University of Vienna and serves as Vice Rector within the Rectorate. She is affiliated with the Department of Microbiology, Immunobiology and Genetics, where her research focuses on RAF kinase signaling, cell proliferation, and molecular mechanisms in cancer and inflammatory responses. Her recent work explores autophagy, lysosomal trafficking, and signal transduction dynamics. Email: manuela.baccarini@univie.ac.at Research Areas: RAF kinase, cell signaling, cancer biology, autophagy, inflammation Recent Research Trends: Her publications from 2018–2025 highlight RAF kinase's role in autophagic lysosome reformation, inflammatory gene regulation via RNA decay, endothelial cell mechanics, and metabolic targeting in tumors. The work spans cancer biology, immunology, and molecular genetics. Teaching: She supervises seminars in the Vienna Biocenter PhD Program and courses on cellular architecture and maintenance.

Alexander BucheltView profile

Researcher

• Artificial Intelligence
• Data Science
• Natural Language Processing
• +3 more

Alexander Buchelt serves as a Researcher in the Department of Computer Science and Security at University of Applied Sciences St. Pölten, contributing to the Data Science and Artificial Intelligence (BA) program. His industry background includes data analytics roles at Hutchison Drei Austria (2014-2018) and MindTake Research GmbH (2019-2020), followed by academic experience as a Student Assistant at FH St. Pölten (2020-2022). His research spans artificial intelligence with emphasis on natural language processing for German content moderation, fractal-based neural network architectures, and AI policy frameworks. Current work demonstrates strong focus on real-world implementation including drone applications in forest ecology, multilingual social media analysis, and regulatory compliance for emerging AI systems. Technical approaches integrate machine learning with domain-specific challenges across environmental science, media analysis, and telecommunications. Publication trends since 2022 reveal increasing emphasis on ethical AI deployment and practical system robustness, with 2024-2025 works addressing content moderation safeguards, neural network innovation, and environmental monitoring solutions. His research consistently bridges theoretical AI development with tangible societal applications, particularly in European regulatory contexts and German-language environments. As part of the Department of Computer Science and Security, Buchelt contributes to Austria's applied research ecosystem focused on practical technology solutions. His work aligns with the university's mission in developing industry-relevant AI applications while addressing emerging challenges in security, ethics, and cross-domain implementation.