Head of Geo-social Analytics Lab

Associate Professor | Head Geo-social Analytics Lab

Bernd Resch is an Associate Professor at University of Salzburg’s Department of Geoinformatics – Z_GIS and a Visiting Scholar at Harvard University (USA). Bernd Resch did his PhD in the area of “Live Geography” (real-time monitoring of environmental geo-processes) together with University of Salzburg and MIT. His research interest revolves around understanding cities as complex systems through analysing a variety of digital data sources, focusing on developing machine learning algorithms to analyse human-generated data like social media posts and physiological measurements from wearable sensors. The findings are relevant to a number of fields including urban research, disaster management, epidemiology, and others. Bernd received the Theodor Körner Award for his work on “Urban Emotions”. Amongst a variety of other functions, he is an Editorial Board Member of IJHG, IJGI and PLOS ONE, a scientific committee member of various international conferences (having chaired several conferences), an Associated Faculty Member of the doctoral college “GIScience”, and an Executive Board member of Spatial Services GmbH.

Scientific staff

Dorian Arifi

Researcher / PhD candidate

Dorian Arifi is a PhD student and holds a M.Sc. in Data Science from the University of Salzburg with a particular focus on Deep Learning and Database Management. Prior to that, he earned a B.Sc. in Economics from the LMU Munich, where he specialized in statistical analysis and behavioral economics. His research interests include the development of Artificial Intelligence models for geospatial data analysis and Natural Language Processing for social media analysis.

Researcher / PhD candidate

Mona Bartling received a MSc in Applied Geoinformatics at the University of Salzburg, Austria and is a PhD candidate since October 2017. Since April 2015 she is a researcher at the International Center for Tropical Agriculture (CIAT) in Colombia where she is part of the developer team of the participatory tool GeoCitizen. In her PhD she focuses on improving user experience of participatory tools and has a particular interest in intelligent user interfaces and gamification elements.

Researcher / PostDoc

Alessandro graduated from Politecnico di Milano (Milan, Italy) with a Bachelor’s degree (2015), a Master’s degree (2017) in biomedical engineering and since April 2021 postdoctoral researcher at Z_GIS. His research experience includes expertise in machine learning and advanced signal processing. His knowledge is mainly focused on data mining approaches and data processing tools, with a particular interest in deep neural networks. His Master thesis involved the use of deep neural networks (in particular LSTM) aimed at the detection of atrial fibrillation from physiological signals.

Maximilian Ehrhart

Study assistant

Maximilian Ehrhart is studying digitalization, innovation and society at the University of Salzburg because he sees interdisciplinary approaches as promising for the future. His main interests are in the field of Machine Learning and Data Science, which he wants to apply to solve Problems in daily life.

Researcher / PhD candidate

Clemens Havas is a PhD student with a background in computer science at University of Salzburg’s Department of Geoinformatics – Z_GIS since 2017. His research interests lie in the fields of machine learning, social media and geospatial analysis. Besides doing his PhD programme, Clemens Havas has been working for various projects funded by international organisations/programmes (e.g. Horizon 2020) by using new data sources to assess the impact of disasters.

Researcher / PhD candidate

Sruthi is a PhD student with a Bachelors degree in computer science and a Masters degree in geoinformatics from the University of Münster. Her research interests lie in the fields of machine artificial intelligence, spatial reasoning and spatial interaction.

Researcher / PhD Candidate

Andreas Petutschnig received his BEng in Cartography and Geomedia-technology at the University of Applied Sciences in Munich, Germany and his MSc in Applied Geoinformatics at the University of Salzburg, Austria. His research interests include the analysis and visualisation of spatiotemporal data flows, spatial statistics, scaling issues of spatial data clusters, and reproducible research. His PhD work has a focus on spatiotemporal point pattern analysis. Specifically, this includes the detection of refugee camps in crisis regions based on traces of social media data.

Helen Ngonidzashe Serere


Helen graduated from Midlands State University (Zimbabwe) with a BSc. in Surveying and Geomatics. She then pursued her MSc in Spatial Engineering at the University of Twente (Netherlands). During her MSc, Helen developed strong interests in spatiotemporal data analysis and visualisation, particularly for applications in risk analysis and reduction.

Associated researchers

Peter Michael Jeremias

Infrastructural representative

Peter received his MSc in Applied Geoinformatics at the University of Salzburg, Austria and is currently enrolled in the Master Program “Data Science”. In his Master thesis, he focussed on database concepts for humanitarian research at Z_GIS. He is non-scientific staff member at the University of Salzburg and is focussing on technical and infrastructural points at Z_GIS, including database management and workflow automation.

Jan Kinne

Researcher / PostDoc

Jan Kinne studied geography with minors in computer science and economics at Heidelberg University, Germany. He is a researcher at the Centre for European Economic Research in Mannheim, Germany (Research Department “Economics of Innovation and Industrial Dynamics”) since June 2016 and an external student in the Applied Geoinformatics PhD programme at the University of Salzburg. His research interests focus on innovation research using big spatial data and spatial data mining.

Jakob Neumayer

Research associate

Jakob Neumayer is currently studying Spanish and Geography at the University of Salzburg. His interest in geoinformatics and his enthusiasm for cycling in general led him to cooperate with Z_GIS. A field study from Z_GIS on cycling in Salzburg is the basis for his bachelor thesis.

Edhem Salihagić

Research associate

Edhem Salihagić holds a bachelor’s degree in “Regional and Spatial Planning” from the University of Sarajevo in Bosnia and Herzegovina. He started his master’s degree studies in “Applied Geoinformatics” at Z_GIS in March 2019. Currently he is supporting the research group by working on different projects, mainly focusing on software development and its uses in spatial sciences.

Eva Maria Missoni Steinbacher


Eva is currently enrolled in the Masters Program “Applied Geoinformatics” at Z_GIS and received her Mag.phil. in “Applied Cultural Studies” at the University of Klagenfurt and Dipl. Ing. in “Spatial Planning” at the TU Vienna. She is particularly interested in science communication and new formats of EO*GI education and training. Eva is involved in creating content and graphic design tasks for the iDEAS:lab and training material development for the EO4GEO project.

Martin Treiblmayr

Researcher / PostDoc

Martin is postdoctoral researcher at ZGIS. His research interests focus on geovisualization methods and applying these methods to new domains. Prior to joining ZGIS, Martin worked for several years in engineering and business development roles at SAP and Garmin. Now he contributes to various research projects at ZGIS with his industry knowledge. In addition, he is exploring new ventures and has created a business. Martin holds a dual degree in international business and surveying engineering from Vienna University of Technology / Vienna University of Economics and Business and a PhD in geoinformatics from the University of Münster. While graduate student, he had scholarships to study at the University of California, Santa Barbara and Universitat Jaume I, Spain.

University of Salzburg | Interfaculty Department of Geoinformatics – Z_GIS
Techno-Z | Schillerstraße 30 | 5020 Salzburg, Austria

https://geosocial.zgis.at see individuals below