Learning and Knowledge Engineering
In learning technologies and knowledge engineering the research team of Prof. Dr. Christoph Meinel focus on the challenging question, how to manage the mass of digital data, so-called &quot;big data&quot;, from Internet and other sources in order to generate and to distribute new knowledge. Research work is concentrated mainly in the following contexts:
The research and development work of in the field of Learning Engineering is directed to create novel virtual learning environments by designing, implementing, and testing innovative Internet-based froms of teaching and learning to support students and learners to acquire new knowledge. Results are incorporated and tested in the self developed MOOC platform openHPI, the Schul-Cloud project, the lecture portal tele-TASK, and the CSCW collaboration tool Tele-Board.
In the field of Machine Learning & Artifical Intelligence we investigate the potentials of deep learning and apply our findings to analyze videos.
Research and development in Semantic Web and Social Media are focusing on designing, implementing, and testing new methods and techniques for acquiring content information and knowledge from the mass of data available in Internet and WWW. Here the team of Prof. Dr. Christoph Meinel is mainly focused on how to automatically detect content and semantic inside of vidoes in order to support users in searching and navigating inside of videos. Results of that research are incorporated in the huge video archive of tele-TASK recordings of university lectures.
In the field of E-Health research at the chair of Prof. Dr. Christoph Meinel on knowledgement engineering is concentrated on how patient and health treatment date can be safely stored, and securely communicated, processed, and analysed.
In the field of innovation reserach we run research projects in the frame of the HPI-Stanford Design Thinking Research Programs, and apply and continue to develop the design thinking method originated in the Silicon Valley.