Emanuele Rodolà is a Full Professor of Computer Science at Sapienza University of Rome , leading the GLADIA group (Geometry, Learning and Applied AI) funded by an ERC Grant and a Google Research Award. Former Assistant (2017-2020) and Associate Professor at Sapienza Postdoc at USI Lugano (2016-2017), TU Munich (Alexander von Humboldt Fellow, 2013-2016), and University of Tokyo (JSPS Research Fellow, 2013) His research spans geometry processing , graph/geometric deep learning , computer vision , and language/sound processing , with over 100 publications. He has served on program/organizing committees of top conferences and founded successful workshops in machine learning and graphics. Ellis Fellow ERC Grant recipient Google Research Award Alexander von Humboldt Fellow JSPS Research Fellow
Lars Mehnen serves as a Senior Lecturer and Researcher at the University of Applied Sciences Technikum Wien (UAS Technikum Wien) in Austria, where he has been teaching since 2019 in Computer Science and previously from 2003-2019 in Biomedical Engineering. His academic career includes significant roles at Vienna University of Technology as University Assistant (2004-2007) and Research Assistant (1998-2002), along with leadership positions in major international space initiatives including QB50 (2010-2013), GENSO (2006-2010), and SSETI (1999-2006). TU-Wien: Dipl.Ing. in Computer Engineering and Medical Informatics Dr. Techn. from Institute for Fundamentals and Theory of Electrical Engineering and Institute of Technical Mathematics Mehnen's research spans multiple domains with particular expertise in Artificial Intelligence, Evolutionary Algorithms, and Sensor Technology. His work in explainable and non-parametric evolutionary algorithms represents cutting-edge contributions to AI methodology. In biomedical engineering, he has developed innovative magnetoelastic skin curvature sensors for cardiovascular monitoring and other medical applications. His teaching portfolio is exceptionally diverse, covering Statistics (parametric and non-parametric), Artificial Intelligence, Aerodynamics (particularly for sports equipment), Physics for game engineering, and extensive programming topics including Java, C/C++, Python, and functional programming languages. His publication record from 2001-2024 shows a clear evolution from early work on magnetostrictive bilayer sensors toward more recent applications of machine learning in biological classification, medical diagnostics, and educational technology. The 2024 publication on ChatGPT's diagnostic accuracy for medical conditions demonstrates his engagement with the latest AI developments. His research consistently bridges theoretical computer science with practical applications in healthcare, sports engineering, and space technology. Mehnen has been deeply involved in European collaborative projects throughout his career, including QB50 (EC F7), GENSO (ESA initiative), and B-Sens (EC-Project in 5th framework). These projects involved coordination with numerous universities and institutions across Europe, demonstrating his ability to lead international research collaborations. His work on the SSETI Express satellite project resulted in the successful launch of a micro-satellite at the end of 2005. At UAS Technikum Wien, Mehnen contributes to curriculum development across multiple domains including statistics, AI, programming, and physics. His research on paraglide control systems demonstrates application of his expertise to sports safety technology, while his recent work in teaching analytics shows commitment to improving educational outcomes through data-driven approaches.
David Meyer is a Professor at the University of Applied Sciences Technikum Wien. Since 2017, he has served as Program Director for the Bachelor in Business Informatics program, and since 2020, also for the Master Data Science program. He is a Senior Lecturer and a member of the University Council. Education Habilitation in Business Informatics PhD in Business Informatics from Vienna University of Business Administration Undergraduate studies in Business Informatics at Vienna University of Technology and University of Vienna Lycée Français de Vienne Research Interests Meyer's work spans Data Science , including core areas like Data Engineering, Data Visualization, and Machine Learning. His focus extends to Statistical Computing , programming language R , ERP Systems , and Business Intelligence/Data Warehousing . He has held leadership roles in academic governance, including membership of the University Council since 2018 and board membership of the Doctoral College 'Resilient Embedded Systems' from 2018–2024. Professional Experience 2010–present: Professor and Lecturer at UAS Technikum Wien 2004–2010: Assistant Professor at WU Wien (Institute for Business Informatics) 2000–2004: Research Assistant at TU Wien (Institute for Statistics and Probability Theory) 1998–2000: Consultant at Arthur Anderson and as a freelancer 1995–1998: IT Project Manager for ERP systems 1990–1995: Software Engineer for medical ERP systems Contact Email: david.meyer@technikum-wien.at
Ruth Trinder is an Associate Professor at the Institute for English Business Communication at Wirtschaftsuniversität Wien (Vienna University of Economics and Business). She holds a PhD in English from 2000 and completed her Habilitation in 2006 focusing on online/blended learning and individual learner differences. Her research spans computer-assisted language learning (CALL), language teaching methodology, and English literature, with particular emphasis on technology integration in tertiary education. Education: First degree in English and American studies (1993), PhD in English (2000), Habilitation (2006) Her work involves developing and evaluating online learning materials, serving as project leader in multiple initiatives. She currently represents WU in the Erasmus project "IntlUni: The challenges of the multilingual and multicultural learning space," a collaboration among 37 universities across 28 countries. Recent research publications demonstrate her focus on technology-mediated language learning, covering topics like: Student perspectives on digital learning environments Blended learning implementation strategies Learner autonomy in CALL resource utilization Multimedia courseware development in higher education While no specific scientific awards are mentioned in the text, her work includes empirical investigations into technology's role in both formal and informal language learning contexts. She has contributed to academic resources like the Online Writing Lab (OWL) through educational recommendations, particularly for platforms supporting business English and academic writing.
Martin Herles is an Assistant Professor at the Institute for English Business Communication within Vienna University of Economics and Business . Born in 19965, he has been an academic staff member since 1991 after completing his Mag.rer.soc.oec. , Dr.rer.soc.oec. (WU), and Mag.phil. in English and Linguistics (University of Vienna). His educational qualifications include degrees from Vienna University of Economics and Business Administration and University of Vienna. Research interests focus on text linguistics , sociolinguistics , language change , social security , and British cultural studies . He has also explored business communication and academic writing through publications and lectures. Publications trend shows sustained contributions across disciplines: Business communication (2012 monograph on financial terminology) Academic writing (1995-1996 works on language foundations) Educational technology (2001 CALL software analysis) Sociolinguistic analysis (2001 study on language attitudes) Cross-cultural studies (1998 economic hub analysis) Language testing methodologies (1998 translation-based assessment research) Herles actively engages with professional networks and international resources , recommending tools like ForBetterEnglish.com for collocation studies and ICONS Project for British cultural insights. His work spans both theoretical linguistics and practical business applications .
Roberto Therón is a Full Professor of Computer Science at the University of Salamanca, Spain, and a leading researcher in the GRIAL Group specializing in visual analytics and its interdisciplinary applications. His educational background includes: PhD in Computer Science BA in Audiovisual Communication BA in Humanities Dr. Therón's research spans visual analytics, artificial intelligence, data visualization, educational technology, human-computer interaction, and sustainability. He develops innovative platforms like LATILL for language learning and DETAILLs for AI-driven sustainable living labs, emphasizing user-centered design and domain-specific knowledge integration. His work bridges technical AI development with practical educational and sustainability applications through interdisciplinary collaboration. Analysis of his 2023-2025 publications reveals a dominant trend toward generative AI integration in educational tools, meta-modeling for reusable open educational resources, and context-aware data visualization techniques. His research consistently focuses on enhancing user experience through heuristic evaluation, domain knowledge incorporation, and sustainable AI frameworks across language learning, poetic analysis, and dashboard design. No scientific awards are mentioned in the available information. While specific advising details are unlisted, his leadership in the GRIAL Group and extensive co-authorship network (including Alicia García-Holgado, Andrea Vázquez-Ingelmo, and Francisco José García-Peñalvo) indicate active research supervision. His editorial roles as Chief Editor for Human-Media Interaction at Frontiers in Computer Science and Review Editor for Data Visualization at Frontiers in Bioinformatics demonstrate scholarly influence beyond direct research. As a core member of the GRIAL Group (Research Group in Applied e-Learning), Dr. Therón contributes to advancing e-learning through projects focused on open educational resources, AI-enhanced language platforms, and sustainability-driven living labs. The group emphasizes practical implementation of theoretical frameworks in real-world educational and environmental contexts.
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.
