Gütl, Christian, Assoc.Prof. Dipl.-Ing. Dr.techn.
Head of CoDiS Lab; background and technical doctorate in computer science; “venia legendi” for applied computer science in 2009; his research interests include information search and retrieval, natural language processing, adaptive media technologies, social media and behavior analytics, e-education and e-assessment, mixed reality and game engineering for skill and knowledge acquisition.
Kerschbaumer, David, Dipl.-Ing.
David is a University Assistant with a diploma in computer science; His research interests include educational data mining, computer science education, data science, and code analysis. In addition, he holds courses at TU Graz, with a particular focus on learning to program and object-oriented programming.
Nussbaumer, Alexander, Dipl.-Ing. Dr.techn.
Postdoctoral researcher. Doctorate in computer science and thirteen years of research experience in international projects in areas between psychology and computer science. Research interests include digital learning, digital literacy, decision support, visual analytics, human factors, and evaluation analytics.
Ruß-Baumann, Chiara, BSc MSc
Researcher; Chiara graduated in psychology and is currently studying adult and continuing education; her research interests include digital learning, digital literacy, cognitive and motivational processes and the evaluation of learning and research environments.
Steinmaurer, Alexander, Mag. Dr.
Alexander is University Assistant with a diploma in computer science teaching and a PhD in computer science; his research interests include computer science education and didactics, computational skill teaching, learning analytics, digital learning, and engaging learning technologies. Alexander holds courses at TU Graz and University College of Teacher Education about Programming, Project Management, Scientific Working, and Engaging Learning.
Zeisberg, Johanna, Mag.art. B.Sc.
Publishing Manager of the Journal of Universal Computer Science; graduated in philosophy, literature and mathematics; insights in various academic cultures and scientific standards; tasks include administrative and editorial activities related to publication processes of science journals and edited volumes.
Student Project Assistant; she studies Softwareengineering and Management at TU Graz, while also visiting psychology courses. Stefanie is assisting the CoDis Team with the editorial activities on the Journal of Universal Computer Science and she is writing her bachelor thesis on the Collaboration Spotting Tool from CERN.
Christian Eckhardt, PhD, is a computer scientist, physicist, and software developer, Entrepeneur, founder of the Mixed Reality Lab (MRL) at the California Polytechnic State University, San Luis Obispo in 2017. The MRL is an graduate research facility emphasizing Christian Eckhardt's main research topics: Mixed Reality, Computer Graphics, Human-Computer Interaction, and Physics Simulations.
Katya Alvarez-Molina, PhD is an audio/sonic interaction designer and an enthusiast of music with 10+ years in music technology. Katya has been involved in different electronic art projects. Her research areas include algorithmic creation, embodied music cognition, design of interactive music systems, and HCI tools and techniques in music.
Lea Marie Müller, M.Ed., is a research assistant at Saarland university for mathematics primary school education. Her research areas include learning and teaching with digital media in the field of mathematics, immersive learning with technologies like Augmented Reality, the development and the evaluation of learning environments.
Her dissertation topic is 'Automatic Summary Generation of Scientific and Information Repositories', which is a research collaboration with CERN. For this, she investigates different ways of extracting the main points of information from a variety of inputs, and explores the possibilities for further processing into a singular information source.
His dissertation topic is 'Devising Prototype Model for Assessing the Digital Competencies Based on DigComp Framework'. The research investigates methods and frameworks for assessing digital skills and competencies in order to devise an assessment model. Moreover, it focuses on integrating the digital skills framework for learning, teaching, and assessing digital skills with an adaptive learning strategy.
David’s dissertation topic is „Educational Data Mining In Computer Science Courses”, where he investigates how students learn to program in computer science courses, employing advanced source code analysis techniques. The goal is to enhance the teaching and learning process by leveraging data-driven insights to optimize programming education and prepare students well for their future careers.
His dissertation topic is 'Integrated Assessment Strategies for 3D Learning Environments to Support Flexible, Open Learning Scenarios in the Classroom'. The research investigates flexible methods and concepts for automated behavior-based assessment, feedback and guidance in STEM-related explorative simulations and studies the effectiveness and applicability in different classroom settings.
Manuel’s dissertation topic is 'Crossing the uncanny valley of nonverbal communication using volumetric capture' which is a research collaboration with American University and George Washington University. The goal of his research is to develop a visual communication system that will be used by physicians for simulation and remote procedures.
André’s research topic is 'Semantic Information Retrieval for Multidimensional Publication and Patent Graphs'. This research is conducted in association with a web-based graph retrieval project developed at CERN. His work focuses on the development of semantic information retrieval methods that aid in finding the most relevant publications and patents and presenting them in the context of knowledge graphs.
Her dissertation topic is 'Creation and Usage of Patient Summaries in the Austrian Healthcare System'. This research investigates how the Austrian healthcare system can benefit from the exchange of structures patient summaries between healthcare providers. It focuses on the application of language processing algorithms and ontologies in order to improve the extraction of structured data from textual patient charts.
Elias’s dissertation topic is ‘“Enhancing Systematic Reviews in Medical Research using Natural Language Processing (NWP)” which is a research collaboration with CERN. His research focuses on the practical application of NLP for more efficient information retrieval, enabling the identification of relevant scientific papers and the automatic extraction of insights for specific research questions. The primary aim is to streamline the process of conducting systematic reviews in the realm of medical research.
Ossy Dwi Endah Wulansari
Her dissertation topic is Research and Development of Online Tools for Measuring the Level of and Experiencing Empathy. This research investigates how to develop a model for designing online tools for teaching, experiencing, and measuring empathy, as well as showcase and experiment with online tools. The specific focus of interest is on computer games and computer-based storytelling.
Ebner, Sylvia, BA BSc MSc
Sylvia graduated in psychology and educational science; her research interests include digital learning, digital literacy, cognitive processes, development of motivation and interest of young people in the STEM field as well as the evaluation of learning and research environments.
Kaiser, Dana, cand.mag.
Editor of the Journal of Universal Computer Science; editorial activities concerning administration of submissions, review process, publication of articles, management of editorial board, web presentation of information pages and preparation of printed annual editions.
Steiner-Stanitznig, Christina, Mag. Dr.rer.nat.
Postdoctoral researcher; diploma and doctoral degree in psychology; her research experience and interests include digital learning, competence and knowledge representation and modelling, digital literacy, didactic approaches and psycho-pedagogical adaptation, cognitive processes and biases, human-computer interaction and the evaluation of information systems.
Christopher Cheong is an associate professor in the Department of Information Systems and Business Analytics in the School of Accounting, Information Systems and Supply Chain at RMIT University. His research interest involves the application of computational techniques to address issues in various domains, such as business and education. His current research focus is on analytics, persuasive systems, and educational technologies. In recognition of his teaching excellence and technology-enhanced learning research, he was awarded an Office of Learning and Teaching Citation for Outstanding Contributions to Student Learning in 2016 and became a Fellow of the Higher Education Academy in 2018.
Krzysztof Pietroszek is a Polish/Canadian computer scientists and filmmaker. His research and art projects involve designing volumetric capture equipment, telemedicine technologies, persuasive virtual and augmented reality, interaction techniques for artificial reality continuum, applications of machine learning to animation and volumetric capture, and interactive narrative and montage in virtual, augmented, and mixed reality.
France Cheong is Senior Lecturer in the Department of Information Systems and Business Analytics in the School of Accounting, Information Systems and Supply Chain at RMIT University. His current research interest is on enterprise artificial intelligence as well educational technologies.
Aleksandar’s dissertation topic is 'Enhancing the Information Retrieval Processes using Network Analytics' which is a research collaboration with CERN. As part of his research, he investigates how the combination of network techniques and retrieval techniques impacts the information retrieval process, new ways of introducing additional context to data using network techniques and approaches for investigating network structures generated from retrieved documents using various network concepts to identify meaningful connections between documents or concepts.
His Thesis Title is 'User Navigation and Information Retrieval in Multidimensional Information Space for Push Notification Systems' which is a research collaboration with CERN. The goal of this doctoral dissertation is to research and prototype an information retrieval and user navigation approach and system that will be used by the CERN Push Notification System.
He was working on his thesis with the title 'Virtual Director - A Concept for Automatic Vision Mixing of Live Video Streams'. Rene developed this concept in the realm of several European research projects and applied and evaluated it in use cases for group video communication, live event broadcast and theatre performance.
Alexander's dissertation topic is 'Engaging Learning in Computer Science Education. Within his thesis he designing and evaluating engaging learning approaches in various areas of computer science such as higher education (programming education) or secondary school level (game-based learning approaches, gamification, or adaptive learning).