Darmstadt University

Darmstadt University of Applied Sciences, Darmstadt, Germany

Kawa Nazemi is full professor for Human-Computer-Interaction and Visual Analytics at the Darmstadt University of Applied Sciences and since 2017 director of Information Science for undergraduate and graduate studies at the Darmstadt University. He is Adjunct Senior Lecturer at the Cork Institute of Technology and at the Technische Universität Darmstadt (TU Darmstadt) and member of the Hesse-PhD-Center for Applied Computer Science. His research interests include machine learning, data analytics, natural language processing, artificial intelligence and visual analytics with a strong focus on human and human’s abilities.

He started with research and development in 2007 at the Fraunhofer Institute for Computer Graphics Research (IGD) and worked there until his appointment as professor in 2016. At Fraunhofer, he worked in the department Information Visualization and Visual Analytics and led there many years the research group “Semantics Visualization” with a special focus on user-centered and user-adaptive intelligent visualizations. He developed with his group the SemaVis technology, a price winning, web-based visualization that adapts to individual demands of users. SemaVis is able to perform the entire transformation process from raw data to interactive and intelligent visualizations and was applied to many projects and enterprises.

He holds a PhD (Dr.-Ing.) in computer science from the Technische Universität Darmstadt entitled “Adaptive Semantics Visualization“. He was responsible for a number of European and national projects and worked on a variety of industrial research contracts. He has more than 70 publications co-authored and is member of a variety of program committees and editorial boards, and serves as reviewer for a variety of journals and conferences. His research was awarded amongst others by the Academia Europaea with the Burgen Scholarship Award and the European Association for Artificial Intelligence.

Margot Mieskes studied Computational Linguistics and Computer Science at the University of Stuttgart and did her PhD in collaboration with EML Research (now Heidelberg Institute for Theoretical Studies) and the Friedrich Alexander University Erlangen-Nuremberg. She worked in industry primarily in the context of automatic speech recognition and speech synthesis. In 2013 she returned to academic research in the context of applying natural language processing in the educational domain at the Leibniz Institute for Research and Information in Education. In 2015 she was appointed Professor for Information Science at the University of Applied Sciences Darmstadt. Her research interests are focused on applying natural language processing to new domains, such as education, psychotherapy, finance or journalism and extracting knowledge from unstructured and informal language data — both written and spoken. Furthermore, she is interested in the replicability, reliability and reproducibility of NLP experiments and is an active member of the Ethics in NLP community.

Prof. Dr. Stefan Schmunk [ORCID] is professor for Information Science and Digital Libraries at the University of Applied Sciences Darmstadt since 2018. His research focuses on humanities and cultural science research data, questions of digitizing of cultural heritage, Open Access and Digital Humanities. Between 2012 and 2018 he was project coordinator and principal investigator at the State and University Library Göttingen (SUB) for numerous national and international third-party funded research projects. Within the scope of his activities as deputy head of the research and development department, he was responsible for the areas “Digital Research Infrastructures” and “Virtual Research Environments” as coordinator of all projects at the SUB Göttingen. He is a member of numerous national and international expert commissions and advisory boards, including the “Library Theory & Research Section” of the International Federation of Library Associations and Institutions (IFLA). He is also the founder and, since 2013, co-editor of the OA journal DARIAH-DE Working Papers.

Melanie Siegel is full professor for Information Science at the Darmstadt University of Applied Sciences, with a strong background in language technology.

She holds a Ph.D. in linguistics and a Habilitation (venia legendi) in linguistics and computational linguistics from Bielefeld University. From 1988 to 1989, she attended a one-year Japanese language course at Reitaku University in Kashiwa/Japan. From 1989 to 1991, she worked in the KLEIST generation project for German and Japanese route descriptions. From 1993 to 1994 she contributed to the VERBMOBIL project in description of contrastive phenomena for Japanese and English machine translation in Bielefeld. In 1995, she joined DFKI , where she developed the Japanese syntax for VERBMOBIL. Following, from 1997 to 2000, she continued developing the Japanese syntax at the University of the Saarland.

From July 2000 to April 2001, she participated in the Whiteboard project at DFKI that aimed to combine shallow and deep grammar processing methods. In addition, from October 2000 to February 2001, she participated in the SKATE project, developing a grammar checking system in cooperation with SAP. After that, she had the joint project JACY in cooperation with YY technologies in order to develop a Japanese HPSG. Following, she organized the scientific coordination of an EU project called Deep Thought in the field of building applications for combined deep and shallow NLP systems. From 2004 to 2006, she was engaged in grammar development in cooperation with NTT Japan and text annotation in the SmartWeb semantic web project at DFKI. In 2006, she worked as a Deputy Director Japan for the International Bureau of the Federal Ministry of Education and Research of Germany, organizing research initiatives between Germany and Japan.

From 2006 to 2012, she worked as a Computational Linguist and Head of Research and Innovation at Acrolinx in Berlin, in the area of automatic consistency checking of technical documentation. Melanie Siegel is since 2012 professor at the Darmstadt University of Applied Sciences.

Jörg von Garrel earned his master degree in vocational education and human resource development, specializing in mathematics and business administration at the universities in Oldenburg and Magdeburg. From 2006 to 2014 he worked at the Fraunhofer IFF as a project and business unit manager. In 2012 he obtained his doctoral degree, his dissertation examines collaboration among organizations and, in particular, the influence of employees who are directly involved. From 2014 to 2019 he worked at the SRH Fernhochschule – The Mobile University, a private university with a focus on distance learning, as a professor for business administration, with specialization in process management. Since 2019 Joerg von Garrel is working as a professor for process and product innovation at the Darmstadt University of Applied Sciences. His researches focusses on a participatory as well as effective and efficient design of work systems and processes.