Dr. André Skupin - San Diego State University

Dr. André Skupin

Dr. André Skupin
Storm Hall 305B
Department of Geography
San Diego State University
San Diego, CA 92182-4493
USA
Phone: (619) 594-6946
Email: skupin@sdsu.edu
Web: Personal, CICS, Coronavirus, BigKnowledge®, Left of Boom
Google Scholar: scholar.google.com/citations?user=zrJzM-QAAAAJ
LinkedIn: www.linkedin.com/pub/andré-skupin/26/b8b/b68/
Twitter: @AndreSkupin

Background

  • Professor, San Diego State University
  • Founder & Co-Director, Center for Information Convergence and Strategy (CICS), SDSU
  • Associate Director, Center for Data Analytics and Intelligence (CENDAI), Czech University of Life Sciences
  • Co-Founder & Co-CEO, BigKnowledge®

  • 1998-2005 - Asst. & Assoc. Professor - University of New Orleans
  • 1998 Ph.D. Geography - University at Buffalo
  • 1992 Dipl.-Ing. Cartography - TU Dresden, Germany
  • Industry experience with BigKnowledge (USA), Esri (USA), NCGIA (USA), GTZ/ISPA (Germany), SRS (Germany), GIMS (South Africa) & others

Interests

  • Visual Data Mining.
    Geographic Visualization.
    Information Visualization.
  • Natural Language Processing.
    Text Mining. Digital Humanities.
  • Geographic Data Engineering and Cyberinfrastructure. Spatio-Temporal Modeling.
  • Semantic Web. Knowledge Analytics.

CV as pdf (Mar 2021)


Teaching

  • Geographic Information Systems - GEOG 484 (Fall 2021)
  • Data Visualization - GEOG 581 (Fall 2021)
  • Map Investigation - GEOG 380 (Spring 2022)
  • Knowledge Analytics - GEOG 780 (Spring 2022)

Current Research

  • Machine learning for cardiovascular disease
  • Knowledge visualization for science and technology (S&T) studies
  • Scientometrics of coronavirus research
  • Human mobility in physical and abstract spaces
  • Domain ontology development and visualization
  • Travels in attribute space aka 'Computing Déjà Vu'
  • Monitoring of dynamics in crime, climate, and land cover
  • Self-organizing map (SOM) software and workflow development

Recent Publications

Song, X., Zhang, H., Akerkar, R. A., Huang, H., Guo, S., Zhong, L., Ji, Y., Opdahl, A. L., Purohit, H., Skupin, A., Pottathil, A., Culotta, A. (2020) Big Data and Emergency Management: Concepts, Methodologies, and Applications. IEEE Transactions on Big Data. (link)

Fouad, G., Skupin, A., and Tague, C.L. (2018) Regional regression models of percentile flows for the contiguous United States: Expert versus data-driven independent variable selection. Journal of Hydrology: Regional Studies. (link)

Mutschke, P. et al. (2017) Knowledge Maps and Information Retrieval. Special Issue of International Journal on Digital Libraries.(link)

Ahearn, S.C. and Skupin, A. (2016) From Body of Knowledge to Base-Map: Managing Domain Knowledge through Collaboration and Computation. In: Advancing Geographic Information Science: The Past and Next Twenty Years. (link)

Fabrikant, S., Gabathuler, C., and Skupin, A. (2015) SOMViz: Web-based Self-Organizing Maps. Kartographische Nachrichten. (link)

Skupin, A. (2014) Making a Mark: A Computational and Visual Analysis of One Researcher's Intellectual Domain. International Journal of Geographical Information Science. (link)

Skupin, A. (2013) A visual exploration of mobile phone users, land cover, time, and space. Pervasive and Mobile Computing. (link)

Burns, R. and Skupin, A. (2013) Towards Qualitative Geovisual Analytics: A Case Study Involving Places, People, and Mediated Experience. Cartographica. (link)

Ahearn, S.C., Icke, I., Datta, R., DeMers, M.N., Plewe, B., and Skupin, A. (2013) Re-Engineering the GIS&T Body of Knowledge. International Journal of Geographical Information Science. (link)

Wang, N., Biggs, T., and Skupin, A. (2013) Visualizing Gridded Time Series Data with Self-Organizing Maps: An Application to Multi-Year Snow Dynamics in the Northern Hemisphere. Computers, Environment and Urban Systems.(link)

Skupin, A., Biberstine, J., and Börner, K. (2013) Visualizing the Topical Structure of the Medical Sciences: A Self-Organizing Map Approach. PLoS ONE. (link)

Note: documents in Portable Document Format (PDF) require Adobe Acrobat Reader 5.0 or higher to view (download Adobe Acrobat Reader).

Snippet from a visualization of the domain of music (see link)
© André Skupin last updated: March 11, 2021