Daniela is a highly experienced Global Strategy and Learning & Development leader with over 20 years of professional experience. Throughout her career, she has contributed to designing and implementing successful transformations and organizational development strategies and helped to reinvent learning and development at Siemens. Her knowledge, experience, and insights have made her an expert in sustainable workforce transformation and ecosystem development.
Daniela has a natural ability for customer focus, systems thinking, complex problem-solving, and driving change. She understands building solid relationships with internal & external stakeholders at all seniority levels. Daniela is an inspirational and effective team leader in multinational matrix organizations focusing on leading global, virtual teams.
Before joining Siemens in 2008, she worked for Deutsche Telekom and PricewaterhouseCoopers and ran three restaurants as managing director. Daniela is passionate about innovation and technologies that contribute to the sustainable development of societies.
Prof. Miriam Reiner has been studying technologies for enhanced human learning in social and other contexts. She uses applied neuroscience methods integrated with human centric technology VR/AR/Metaverse. Has above 150 publications in peer reviewed journals, books and conferences, two books, has been a keynote speaker multiple conferences, and an inventor of numerous patents. She has been a visiting professor for part time each year at Stanford, at Nanyang Technological University and more. Miriam has been collaborating with leading international corporations on human computer interfaces, and has served as an expert on major EU committees related to future innovative technologies. She founded and lead the VR/AR and neurocognition lab at the Technion, mainly with awards from the EU, and trained about 40 PhD’s and Master of Science graduate students.
Her work is in the interface of neuroscience and model-based machine learning aiming to develop novel technologies for human enhancement. Some of her key results include methods of VR/AR for expedited memory consolidation, enhanced spatial intelligence, expedited problem solving, and error-potential-based brain-computer-interfaces, for restructuring neural patterns to accelerate rehabilitation.
Her current focus is on extraction of neural biomarkers from eye dynamics in VR/AR for an eye-based brain machine (VR/AR) enhanced synergy.
Carlos Delgado Kloos received the Ph.D. degree in Computer Science from the Technische Universität München and in Telecommunications Engineering from the Universidad Politécnica de Madrid. He is Full Professor of Telematics Engineering at the Universidad Carlos III de Madrid, where he is the Director of the GAST research group, Director of the UNESCO Chair on “Scalable Digital Education for All”, and Vice President for Strategy and Digital Education. He has carried out research stays at several universities such as Harvard, MIT, Munich, and Passau. His main research interests are in Educational Technology. He has been involved in a large number of research projects and has published more than 500 articles. He has coordinated several MOOCs with over 600.000 registrations.
|12 Apr 2023||Submission of Special Session Proposals|
|12 Apr 2023||Submission of structured abstracts (2 pages for full papers and 1 page for short papers) for the main conference|
|24 Apr 2023||- Notification of acceptance for abstracts for the main conference|
- Special sessions notification and announcement
|04 Jun 2023||EXTENDED|
Submission of complete papers, special session papers, Work in Progress, Posters, Workshops/Tutorials
|19 Jun 2023||Notification of Acceptance|
|10 Jul 2023||Camera-ready due and Author registration deadline|
|26 Sep 2023||Conference Opening|