Prof. Dr. Kawa Nazemi
Short profile
Kawa Nazemi has been a professor in the Department of Media since 2016. There he teaches and researches in the areas of human-computer interaction, information visualisation and data analytics.
Between 2007 and 2016, Kawa Nazemi conducted research at Fraunhofer IGD in the Department of Information Visualisation and Visual Analytics. He headed the Semantics Visualisation group there from 2011, which developed user-centred visualisation solutions, and was deputy head of department.
Er promovierte am Fachbereich Informatik der TU Darmstadt zu adaptiven und intelligenten Visualisierungen. Er war verantwortlich für eine Vielzahl nationaler und europäischer Projekte und diverser Forschungsaufträge der Industrie.
Kawa Nazemi is the author of over 100 peer-reviewed publications and a member of various programme committees. His research has been recognised by the Academia Europaea with the Burgen Scholarship Award and the European Association for Artificial Intelligence, among others.
about the person
2021 - 2023
Development of partnerships with Eastern Europe
Funded by: DAAD
Funding Programme: Partnerships with Higher Education Institutions in East-Central, South-Eastern and Eastern Europe as well as the Caucasus and Central Asia
2019- 2020
AVARTIM - Advanced Visual Analytical Reasoning for Technology and Innovation Management
Funded by: Hessian Ministry of Science and the Arts (HMWK)
Funding programme: Research for Practice
2019 - 2020
VisCOST - Trend Analytics for Society
Funded by: Federal Ministry of Education and Research (BMBF)
Funding Programme: EU Application FH
2019 - 2020
EuroStraNet - European Strategic Network
Funded by: German Federal Ministry of Education and Research (BMBF) and Centre for Research and
Development (ZFE)
Funding Programme: Strategic Strengthening of Research Competencies in the European
Framework - StrFor-EU / University project within the funding line EU-Strategy-FH
Further projects
Lectures
2022
Openning Note of the Information Visualisation Conference in Vienna, 19-22.07.2022.
2021
Eröffnungsnotiz der Information Visualisation Conference in Melbourne (virtuell), 5-9.07.2021.
2020
Lecture on Intelligent Visualisations at the Gesellschaft für Informatik (GI).
2018
Presentation at Global European Strategic Alliance meeting in Coventry, October 2018.
Presentation at the International Conference on Intelligent Human Systems Integration in Dubai, 2018.
2017
PhD Unterstützung im Rahmen des Workshops User-oriented process (re)design and information
systems modelling; a case of smart city services. Thesis: Business Process Modelling in Smart Cities.
Presentation at the workshop User-oriented process (re)design and information systems modelling; a case of smart city services. Title: Data Analysis and Visualization in Smart Cities.
2016
Lecture at the Young Academy of Science (Berlin-Brandenburg Academy of Science and Leopoldina).
Conference organisation
2022
Co-organisation of the International Conference on Information Visualisation in Sydney, Australia.
Co-edited a book in Springer Studies on Computational Intelligence.
2021
Co-organisation of the International Conference on Information Visualisation in Sydney, Australia
Co-Editor of the Special Issue Big Data Visualization in the Journal Big Data Research (Elsevier)
Co-Editor of a book in Springer Studies on Computational Intelligence
2020
Co-organisation of the International Conference on Information Visualisation in Sydney, Australia
Appraisal activities
Conferences:
PC Member of the International Conference Information Visualsation (IEEE)
Reviewer for IEEE Visual Analytics Systems and Applications (VAST)
PC Member of the International Symposium for Visual Computing (Springer)
PC Member International Conference on Interactive Media, Smart Systems and Emerging Technologies (Eurographics Association)
PC Member of the Electronic Governance and Open society: Challenges in Eurasia (ACM)
PC Member International Conference on Data Analytics for Business and Industry (IEEE)
Reviewer Sustainability and Resilience Conference: Climate Change (IEEE)
PC Member International Conference on Decision Sciences and Applications (IEEE)
Reviewer International Conference on Knowledge Technologies and Data-driven Business (ACM)
International Conference of the Virtual and Augmented Reality in Education (2009 - 2016)
Reviewer International Conference of Education, Research and Innovation (IATED) (2009 - 2014)
Reviewer and PC member of the International Conference for Human-Computer Interaction (Springer) (2008 - 2012)
Reviewer at EdMedia Conference (AACE) (2008 - 2010)
Journals:
Multimedia Tools and Applications (Springer)
Big Data Research (Elsevier)
IEEE Computer Graphics and Applications (IEEE)
Pattern Recognition Letters (Elsevier)
International Journal of Computing and Digital Systems (Elsevier)
Information (MDPI)
Electronics (MDPI)
Others:
German Academic Exchange Service
European Commission - Next Generation Internet
European Commission - Framework 7 - H2020
Prizes and awards
2021
Best Paper Award der International Conference Information Visualisation (IEEE).
2019
Best Paper Award for the conference contribution "Visual Analytics for Analyzing Technological Trends from Text" at the 23rd International Conference Information Visualisation
2015
Burgen Scholarship Award of the Academia Europaea, London GB
Invited positions
2018 – 2022
Adjunct Senior Lecturer in Computer Science at the Cork Institute of Technology (CIT)
Mitgliedschaften
- IEEE Senior Member
- ACM Member
- IEEE Computer Society
- IEEE Computer Society Technical Committee on Visualization and Graphics
- IEEE Computer Society Technical Committee on Data Engineering
- IEEE Systems Council
- IEEE Big Data Community
- Hochschulverband Informationswissenschaft (HI)
2022
Kovalerchuk, Boris; Nazemi, Kawa; Andonie, Răzvan; Datia, Nuno; Banissi, Ebad (Hrsg.):Integrating
Artificial Intelligence and Visualization for Visual Knowledge Discovery. Springer Nature, 2022.
2021
Nazemi, Kawa; Burkhardt, Dirk; Kock, Alexander: Visual analytics for technology and innovation
management: An interaction approach for strategic decision making. Springer Link, 2021.
Blazevic, Midhad; Sina, Lennart B.; Burkhardt, Dirk; Siegel, Melanie; Nazemi, Kawa: Visual Analytics and Similarity Search - Interest-based Similarity Search in Scientific Data. In Conference: 25th
International Conference Information Visualisation (IV), 2021.
Schütz, Mina; Schindler, Alexander; Siegel, Melanie; Nazemi, Kawa: Automatic Fake News Detection with Pre-trained Transformer Models. In book: Pattern Recognition. ICPR International Workshops and Challenges, 2021, pp.627-641.
Nazemi, Kawa; Kaupp, Lukas; Burkhardt, Dirk; Below, Nicola: Datenvisualisierung. In book: Praxishandbuch Forschungsdatenmanagement (pp.477), De Gruyter Saur, 2021.
Kaupp, Lukas; Webert, Heiko; Nazemi, Kawa; Humm, Bernhard G.; Simmons, Stephan: CONTEXT: An Industry 4.0 Dataset of Contextual Faults in a Smart Factory. In: Procedia Computer Science, Volume 180, 2021, pp. 492-501.
2020
Nazemi, Kawa; Kowald, Matthias; Dannewald, Till; Burkhardt, Dirk: Visual Analytics Indicators for
Mobility and Transportation. In Conference: 61st International Scientific Conference on Information Technology and Management Science, Riga, Latvia, 2020.
Burkhardt, Dirk; Nazemi, Kawa; Ginters, Egils: Innovations in Mobility and Logistics: Assistance of Complex Analytical Processes in Visual Trend Analytics. In Conference: 61st International Scientific Conference on Information Technology and Management Science, Riga, Latvia, 2020.
Aizstrauts, Artis; Burkhardt, Dirk; Ginters, Egils; Nazemi, Kawa: On Microservice Architecture Based Communication Environment for Cycling Map Developing and Maintenance Simulator. In Conference: 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), 2020.
Burkhardt, Dirk; Below, Nicola; Kaupp, Lukas; Nazemi, Kawa: A Future Prospect for European
Collaboration on Advanced Analytics in Economy and Society. In Conference: 6th Collaborative
European Research Conference, CERC2020.
Sina, Lennart B.; Burkhardt, Dirk; Nazemi, Kawa: Visual Dashboards in Trend Analytics to Observe Competitors and Leading Domain Experts. In Conference: 6th Collaborative European Research
Conference, CERC 2020.
Nazemi, Kawa; Klepsch, Maike J.; Burkhardt, Dirk; Kaupp, Lukas: Comparison of Full-text Articles and Abstracts for Visual Trend Analytics through Natural Language Processing. In Conference: 2020 24th International Conference Information Visualisation (IV).
Kaupp, L.; Nazemi, K.; Humm, Bernhard G.: An Industry 4.0-Ready Visual Analytics Model for Context-Aware Diagnosis in Smart Manufacturing. In Conference: 2020 24th International Conference
Information Visualisation (IV).
Burkhardt, Dirk; Nazemi, Kawa; Ginters, Egils: Process Support and Visual Adaptation to Assist Visual Trend Analytics in Managing Transportation Innovations. In book: ICTE in Transportation and Logistics 2019, pp.319-327. Springer Nature Switzerland AG.
Aizstrauts, Artis; Ginters, Egils; Burkhardt, Dirk; Nazemi, Kawa: Bicycle Path Network Designing and
Exploitation Simulation a a Microservice Architecture. In book: ICTE in Transportation and Logistics 2019, pp. 344-351. Springer Nature Switzerland AG.
Nazemi, Kawa; Burkhardt, Dirk; Kaupp, Lukas; Dannewald: Visual Analytics in Mobility, Transportation and Logistics. In book: ICTE in Transportation and Logistics 2019, pp. 82-89. Springer Nature
Switzerland AG.
2019
Nazemi, Kawa: Visual Trend Analytics in Digital Libraries. Proceedings of ASIS&T Annual Meeting.
3 Seiten. ASIST &T in Zenodo, 2019.
Nazemi, Kawa; Burkhard, Dirk: Visual Analytics for Analyzing Technological Trends from Text.
In: Proceedings of International Conference Information Visualisation (IV 2019). 13 Seiten. IEEE
Press, 2019.
Nazemi, Kawa; Burkhard, Dirk: A Visual Analytics Approach for Analyzing Technological Trends
in Technology and Innovation Management. In: Proceedings of International Symposium for Visual
Computing (ISVC 2019). 12 Seiten. Springer LNCS, 2019.
2018
Nazemi, K.: Intelligent Visual Analytics - a Human-Adaptive Approach for Complex and Analyti-cal Tasks. Proceedings of the International Conference on Intelligent Human Systems Integra-tion (IHS 2018): Integrating People and Intelligent Systems. Advances in Intelligent Systems and Computing (AISC 722). pp. 1-10. Springer International Publishing, 2018.
2017
Burkhardt, D.; Pattan, S.; Nazemi, K.; Kuijper, A.: Search Intention Analysis for Task- and User-Centered Visualization in Big Data Applications. Proceedings of International Conference on Energy and Thermal Engineering (ICTE) 2017. pp. 1-9. Procedia Computer Science, 2017.
Burkhardt, D.; Nazemi, K.: Information Visualisation and Visual Analytics to Support E-Government Processes. In: Bade, K.; Pietsch, M.; Raabe, S.; Schütz, L. (Eds.): Techno-logical trends in the field of tension between participation - decision - planning. pp. 1-9. Shaker Verlag, 2017.
Nazemi, K.; Burkhardt, D.; Kuijper, A.: Analyzing the Information Search Behavior and Inten-tions in
Visual Information Systems. pp. 1-10. Journal of Computer Science Technology Up-dates,
cosmoscholars, 2017.
Further publications at: