Talks

    Forthcoming

  1. Deep Graph Learning for Science
    Invited Talk at the Helmholtz AI Conference 2026: AI for Science, Munich, Germany, June 10, 2026
  2. Temporal Graph Isormorphism and the Expressivity of Temporal GNNs
    Invited Talk at Seminar of the Department of Mathematical Modeling and Machine Learning, Zurich, Switzerland, March 26, 2026
  3. Using Temporal Collaboration Networks to Understand Activity Cascades in OSS Communities
    Talk at NetSci-X, Auckland, New Zealand, February 20, 2026

    4. 2026

  4. Using Temporal Graph Isomorphism to Understand the Expressivity of Temporal Graph Neural Networks
    Talk at NetSci-X, Auckland, New Zealand, February 18, 2026
  5. Enhancing Graph Neural Networks with Random Graph Ensembles
    Talk at NetSci-X, Auckland, New Zealand, February 18, 2026
  6. A Gentle Introduction to Deep Graph Learning for Network Scientists
    School Lecture at NetSci-X, Auckland, New Zealand, February 17, 2026
  7. Using Temporal Graph Isomorphism to Understand the Expressivity of Temporal Graph Neural Networks
    Invited Talk at Chair of Data Science in the Economic and Social Sciences, University of Mannheim, January 21, 2026

    8. 2025

  8. Understanding the Expressivity of Causality-Aware Graph Neural Networks for Temporal Graphs
    Invited Seminar Talk at Princeton University, New Jersey, USA, December 8, 2025
  9. Deep Learning for Temporal Graphs: On the Expressivity of Causality-Aware Graph Neural Networks
    Invited Talk at Department of Computer Science and Information Engineering, National Cheng Kung University (NCKU), Tainan, Taiwan, November 28, 2025
  10. Introduction to Graph Learning for Computational Humanities
    Invited Talk at Workshop Trends aus der Informatik at Zentrum für Philologie und Digitalität (ZPD), Würzburg, Germany, November 12, 2025
  11. Representation Learning on Complex Networks
    Opponent Talk at KTH Stockholm, Stockholm, Sweden, November 7, 2025
  12. Machine Learning for Complex Networks: From GNNs to Causality-Aware Graph Learning
    Invited Talk at Integrated Science Lab (IceLab), Umeå University, Sweden, November 5, 2025
  13. Causality-Aware Deep Learning for Complex Networks
    Spotlight Talk at CAIDAS Scientific Opening Conference, Julius-Maximilians-Universität, Würzburg, Germany, October 29, 2025
  14. Deep Learning for Temporal Graphs: On the Expressivity of Causality-Aware Graph Neural Networks
    Invited Talk at Network Science Institute, Northeastern University, Boston, MA, USA, October 15, 2025
  15. Machine Learning for Complex Networks: From GNNs to Causality-Aware Graph Learning
    Invited Talk at BIFOLD Colloquium, Berlin Institute for the Foundations of Learning and Data (BIFOLD), Berlin, Germany, September 25, 202
  16. Temporal Graph Learning in Narrative Networks in Literature
    Keynote at Workshop AI-based Methods for the Humanities, Berlin Institute for the Foundations of Learning and Data (BIFOLD), Berlin, Germany, September 23, 2025
  17. Machine Learning for Complex Networks: From GNNs to Causal Graph Learning
    Invited Talk at Astronomy Seminar, University of Würzburg, Germany, July 3, 2025
  18. Machine Learning für komplexe Netzwerke
    Invited Talk at Forum KI und digitale Transformation, University of Würzburg, Germany, July 2, 2025
  19. Directed Acyclic Graphs, Time and Causality in Networks
    Invited Talk at NetSci Satellite DAGSHOP — A Workshop on directed acyclic graphs, Maastricht, The Netherlands, June 2, 2025
  20. The Arrow of Time in Dynamic Graphs
    Plenary Talk at Dagstuhl Seminar 25171: Holistic Graph-Processing Systems: Enabling Real-World Scale and Societal Impact, Schloss Dagstuhl, Germany, April 24, 2025
  21. A Brief Intro to Machine Learning
    Tutorial at Workshop CAIDAS meets UKW, Würzburg, Germany, March 17, 2025
  22. Graph-based Data Science and Machine Learning - A Primer
    Invited Lecture at Workshop Modeling Complex (Astro)Chemical Systems - Astrochemistry meets Data Science, Munich Institute for Astro-, Particle and BioPhysics, Origins Excellence Cluster, TU Munich, Germany, February 26, 2025
  23. Towards Efficient and Robust Graph Learning - Bridging Statistical Inference and Deep Learning
    Talk at COMFORT Kickoff-Meeting, University of Würzburg, Germany, February 6, 2025

    24. 2024

  24. Risks in the EU AI Act
    Panelist Statement at 29th Europarechtstage at the Würzburg Residence, November 3, 2024
  25. What makes teams successful? From Network Science to Causal Graph Learning
    Talk at SG Symposium: The Complexity of Social and Economic Systems: From Models to Measures, ETH Zurich, Switzerland, October 31, 2024
  26. How the Arrow of Time shapes the Causal Topology of Temporal Graphs
    Invited Talk at Lernen. Wissen. Daten. Analysen (LWDA) 2024, Wuerzburg, Germany, September 24, 2024
  27. Higher-Order Models of Causal Topologies in Temporal Networks - From Modelling to Deep Learning
    Invited Keynote at Workshop on Mining and Learning Real-world Dynamics via High-order Networks (MLH), Satellite Workshop in conjunction with ECML-PKDD, Vilnius, Lithuania, September 13, 2024
  28. PathpyG: GPU-accelerated Causality-aware Learning in Temporal Graphs
    Invited Keynote at SDCS: Software and Data for Complex Systems, Satellite Workshop in conjunction with the Conference on Complex Systems (CSS) 2024, Exeter, UK, September 3, 2024
  29. De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
    Invited Talk at TU Munich, Munich, Germany, June 28, 2024
  30. The Arrow of Time in Networks: From Laplacian Dynamics to De Bruijn Graph Neural Networks
    Invited Talk at Computer Science Colloquium, University of Bonn, Germany, May 23, 2024
  31. Using Higher-Order De Bruijn Graphs to Learn Causality-Aware Representations of Temporal Graphs
    Invited Talk at Dagstuhl Seminar 24122: Low-Dimensional Embeddings of High-Dimensional Data: Algorithms and Applications, Schloss Dagstuhl, Germany, March 21, 2024
  32. The Map Equation Goes Neural
    Talk at Focus Session: Machine Learning for Complex Socio-Economic Systems, Annual Meeting of the German Physical Society, Berlin, Germany, March 18, 2024

    33. 2023

  33. De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
    Invited Keynote at Temporal Graph Learning Workshop, NeurIPS 2023, New Orleans, LA, USA, December 16, 2023
  34. Causality-Aware Deep Learning for Time Series Data on Graphs
    Talk at Research Seminar of Department of Informatics (IfI), University of Zurich, September 27, 2023
  35. Higher-Order Models of Causal Topologies in Temporal Networks - From Modelling to Deep Learning
    Invited Keynote at Dutch NetSci Summer Symposium, TU Delft, The Netherlands, August 30, 2023
  36. How to get your paper rejected: An editor's perspective
    Invited Keynote at NetPLACE Panels at NetSci 2023, Vienna, Austria, July 10, 2023
  37. Mapping Complex Networks
    Invited PhD Opponent Talk at Umeå University, Sweden, May 12, 2023
  38. De Bruijn Goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
    Invited Talk at Temporal Graph Reading Group, McGill University, Montréal, Canada, May 4, 2023
  39. Networks in Space and Time - Exploring the Physics in Graph Learning
    Invited Talk at 86th Spring Meeting of the Condensed Matter Section of the German Physical Society (DPG), Dresden, Germany, March 30, 2023
  40. De Bruijn Goes Neural: Towards Causality-Aware Graph Neural Networks for Time Series Data
    Invited Talk at University of Mannheim, Germany, March 28, 2023

    41. 2022

  41. Networks in Space and Time - Exploring the Physics in Graph Learning
    Invited Lecture at Akademische Feier der Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, December 12, 2022
  42. From Networks to Optimal Higher-Order Models of Complex Systems
    Invited Keynote at ICDM 2022 Workshop on Machine Learning on Higher-Order Structured Data, Orlando, USA, November 28, 2022
  43. Using Big Data and Network Science to Understand Productivity in Software Teams
    Talk at Campus Oerlikon, Zurich, Switzerland, November 24, 2022
  44. De Bruijn Goes Neural: Towards Causality-Aware Graph Neural Networks for Time Series Data
    Invited Talk at ETH Symposium, Zurich, Switzerland, November 24, 2022
  45. [Photo]graphing Middle-Earth: A Visual Exploration of Tolkien's Legendarium
    Invited Talk at Meeting of Tolkiengesellschaft, Zurich, Switzerland, November 22, 2022
  46. From Aristotle to Ringelmann: Using Big Data and Network Science to Understand Productivity in Software Teams
    Invited Talk at Inetum User Conference, Zurich, Switzerland, November 1, 2022
  47. Data Science und Sozialwissenschaften: Eine Geschichte voller Missverständnisse
    Invited Talk at University of Mannheim, Germany, October 13, 2022
  48. Introduction to Network Science
    Lecture at Ghent Summer of DANS 2022, Ghent, Belgium, September 20, 2022
  49. Temporal Networks and Higher-Order Models of Causal Topologies
    Invited Talk at NetDat international seminar and workshop, Dresden, Germany, September 12/13, 2022
  50. From Networks to Optimal Higher-Order Models of Complex Systems
    Invited Talk at CCTB Seminar, Centre for Computational and Theoretical Biology, University of Würzburg, Germany, July 27, 2022
  51. From Networks to Optimal Higher-Order Models of Complex Systems
    Lecture at Summer School on Mathematics of Complex Social Systems, Berlin Mathematics Research Center Math+, Germany, June 13, 2022
  52. From networks to optimal models of complex systems
    Invited Talk at National Center for Scientific Research "Demokritos", Athens, Greece, February 23, 2022
  53. Introduction to Supervised and Unsupervised Learning
    Invited Talk at Second Zurich Machine Intelligence in Clinical Neuroscience Symposium, Zürich, Switzerland, January 20, 2022
  54. What makes teams successful? Insights from Repository Mining, Network Science, and Empirical Software Engineering
    Invited Talk at AI Talks @ JMU Series, Julius-Maximilians-Universität Würzburg, Germany, January 14, 2022

    55. 2021

  55. What makes teams successful? Insights from Repository Mining, Network Science, and Empirical Software Engineering
    Invited Keynote at Institute for AI in Management, Ludwig-Maximilians-Universität München, München, November 18, 2021
  56. From networks to optimal models of complex systems
    Invited Talk at Computational Social Science Seminar, ETH Zürich, Switzerland, November 16, 2021
  57. Optimal Models of Causal Topologies in Temporal Networks
    Keynote at 4th International Workshop on Self-Organised Construction (SOCO), Washington, D.C., USA, October 1, 2021
  58. Higher-Order Network Science: From Theoretical Foundations to Machine Learning
    Opening Talk at Dagstuhl Seminar 21352, Dagstuhl, Germany, August 29, 2021
  59. Combining Collective and Artificial Intelligence in Human-AI Cyber-Organizations (online talk)
    Talk for VolkswagenStiftung, Wolfsburg, Germany, July 29, 2021
  60. Higher-Order Network Science: From Theoretical Foundations to Machine Learning (online talk)
    Keynote at HONS 2021, Washington D.C., USA, July 2, 2021
  61. Next Generation Network Analytics for Time Series Data (online talk)
    Talk at Julius-Maximilians-Universität Würzburg, Germany, January 14, 2021

    62. 2020

  62. Next Generation Network Analytics for Time Series Data (online talk)
    Talk at University of Mannheim, Mannheim, Germany, November 9, 2020
  63. Data Science in den Sozialwissenschaften: Eine Geschichte voller Missverständnisse (online talk)
    Keynote at biannual Conference of the Gesellschaft für Fachdidaktik (GFD), Regensburg, Germany (online), September 23, 2020
  64. Next Generation Network Analytics for Time Series Data (online talk)
    Talk at University of Tübingen, Tübingen, Germany, September 15, 2020
  65. Introduction to Network Science (canceled due to CoViD-19)
    Lecture at Ghent Summer School, DANS 2020, Ghent, Belgium, September 15, 2020
  66. Next Generation Network Analytics for Time Series Data
    Talk at University of Koblenz-Landau, Koblenz, Germany, September 11, 2020
  67. Temporal Networks and Higher-Order Models (online lecture)
    Lecture at 5th International Summer School on Data Science (SSDS 2020), Split, Croatia (online), September 8, 2020
  68. Networks in Space and Time
    Interdisciplinary Symposium on Resilience and Performance of Networked Systems, ETH Zurich, January 16, 2020

    69. 2019

  69. Networks in Space and Time
    Talk at IMACM Colloquium, University of Wuppertal, Germany, October 22, 2019
  70. Networks in Space and Time
    Inaugural Lecture, University of Zurich, September 16, 2019
  71. Higher-Order Network Analytics for Time-Stamped Data on Social Interactions
    Tutorial at EuroCSS 2019, ETH Zürich, September 2, 2019
  72. What makes teams successful? A Data Science Perspective
    Invited Talk at advAIsor AG, Zurich, July 12, 2019
  73. pathpy: From Past to Future
    Opening Talk at the first pathpy user meeting, ETH Zurich, June 17, 2019
  74. Data, Networks, Social Science
    Opening Talk at Symposium Computational Social Science - Quo Vadis?, University of Zurich, April 26, 2019
  75. Demystifying Machine Learning
    Invited Talk at Klinik für Neurochirurgie, University Hospital of Zürich, April 25, 2019
  76. Data Analytics in Social Organizations
    Invited Talk at Behavioral Studies Colloquium, ETH Zurich, April 16, 2019
  77. Data Analytics in Social Organizations: Lessons from Software Engineering and Scientometrics
    Invited Talk at Brownbag Lunch of Digital Society Initiative, University of Zurich, March 21, 2019
  78. Next Generation Network Analytics for Time Series Data
    Talk at Department of Computer Science, University of Zurich, March 8, 2019
  79. Optimal Network Models for Time Series Data
    Invited Talk at CRiSM Seminar Series, Department of Statistics, University of Warwick, UK, February 14, 2019
  80. Learning [with] Graphs
    Internal Research Pitch, University of Zurich, February 11, 2019

    81. 2018

  81. What makes teams successful? A Data Science Perspective
    Talk at UZH Executive MBA Information Event, Zürich, November 6, 2018
  82. Beyond Graph Mining: Higher-Order Data Analytics for Temporal Network Data
    Invited Talk at IBM Research, Rueschlikon, Switzerland, October 11, 2018
  83. Understanding Complex Systems: From Networks to Optimal Higher-Order Models
    Invited Talk at Complexity Science Hub Vienna, Austria, September 5, 2018
  84. Beyond Graph Mining: Higher-Order Data Analytics for Temporal Network Data
    Hands-on Tutorial at 2018 ACM SIGKDD Conference on Kowledge Discovery and Data Mining, London, UK, August 19, 2018
  85. Learning Optimal Models of Causal Topologies in Temporal Network Data
    Invited Talk at Max-Planck-Institute for Ornithology, University of Konstanz, Germany, July 10, 2018
  86. Next Generation Network Analytics for Time Series Data
    Talk at University of Stuttgart, Germany, July 5, 2018
  87. Entropy-based detection of inherent time scales in temporal networks
    Talk at NetSci 2018, Paris, France, June 15, 2018
  88. Learning optimal models of causal topologies in temporal data streams
    Talk at Symposium on Machine Learning in Network Science, Paris, France, June 12, 2018
  89. When networks are not enough: Inference of optimal higher-order models of complex systems
    Talk at Symposium on Statistical Inference for Network Models, Paris, France, June 11, 2018
  90. Next-Generation Network Analytics for Time Series Data
    Talk at Faculty of Mathematics and Natural Sciences, Bergische Universität Wuppertal, Germany, June 4, 2018
  91. Data Analytics in Social Organizations: Lessons from Software Engineering and Scientometrics
    Invited Talk at Computation and Society Workshop, EPFL Lausanne, Switzerland, May 22, 2018
  92. Next-Generation Network Analytics for Time Series Data
    Talk at Department of Informatics, University of Fribourg, Fribourg, Switzerland, April 24, 2018
  93. Learning Optimal Models of Causal Topologies in Temporal Data Streams
    Invited Talk at Symposium on Networks, Time and Causality, ETH Zurich, Zurich, Switzerland, April 13, 2018
  94. Next-Generation Network Analytics for Time Series Data
    Talk at Faculty of Mathematics and Computer Science, Philipps-Universität Marburg, Marburg, Germany, April 12, 2018
  95. Understanding Social Systems: From Sociophysics to Computational Social Science
    Talk at Spring meeting of the German Physical Society, Berlin, Germany, March 15, 2018
  96. When is a network a network? Multi-order graphical model selection in time series data on networks
    Talk at Spring meeting of the German Physical Society, Berlin, Germany, March 14, 2018
  97. Data Science in den Sozialwissenschaften
    Talk at Workshop of GI Data Science Task Force, Berlin, Germany, January 30, 2018
  98. Modelling Social Networks
    Invited Talk at Workshop on Ethics in Complex Systems, Potsdam, Germany, January 29, 2018
  99. Next Generation Network Analytics for Time Series Data
    SNSF Interview Talk, Bern, Switzerland, January 11, 2018

    100. 2017

  100. Mining Social Organizations - A Network Perspective!?!
    Invited Lecture at Computational Social Science Seminar, ETH Zürich, Zürich, Switzerland, November 20, 2017
  101. Optimal Models of Complex Systems: From Networks to Multi-order Models
    Invited Talk at Network Science Institute, Northeastern University, Boston, MA, USA, November 7, 2017
  102. Optimal Models of Complex Systems: From Networks to Multi-order Models
    Talk at Research Unit in Engineering Sciences, University of Luxembourg, October 26, 2017
  103. Optimal Models of Complex Systems: From Networks to Multi-order Models
    Talk at Icelab, Umeå University, Umea, Sweden, October 19, 2017
  104. From Relational Data to Graphs: Inferring Significant Links using Generalized Hypergeometric Ensembles
    Spotlight Talk at 13th International Workshop on Machine Learning in Graphs (MLG 2017), Halifax, Nova Scotia, Canada, August 13, 2017
  105. When is your network a network? Statistical Inference in Multi-Order Network Models of Pathway Data
    Talk at NetSci 2017, Indianapolis, IN, USA, June 22, 2017
  106. Multi-Order Graphical Models: A Unified Perspective on Pathways and Temporal Networks
    Talk at HONS 2017, Indianapolis, IN, USA, June 20, 2017
  107. Learning from Relational Data: Beyond Maximum Entropy Models
    Invited Panel Talk at the 10th workshop on Dynamics on and of Complex Networks, Indianapolis, IN, USA, June 19, 2017
  108. Controllability of Temporal Networks: An Analysis using Higher-order Networks
    Invited Talk at Symposium of Controlling Complex Systems, Indianapolis, IN, USA, June 19, 2017
  109. Data Science in Software Engineering
    Talk at genua GmbH, Kirchheim bei München, Germany, May 17, 2017
  110. Network Analytics for Complex Data
    Talk at Institute for Informatics, University of Zurich, Switzerland, April 5, 2017

    111. 2016

  111. From Big to Complex Data: Pushing the Limits of Graph Mining and Network Analysis
    Talk at Institute for Machine Learning, ETH Zürich, Switzerland, December 19, 2016
  112. A Quantitative Study of the Ringelmann Effect in Software Development Teams
    Plenary Talk at 2nd CSS Winter Symposium, Cologne, Germany, December 1, 2016
  113. Mining Time-stamped Network Data
    Invited Talk at LIP6, Université Pierre et Marie Curie, Paris, France, October 19, 2016
  114. Computational Social Science
    Invited Lightning Talk at Symposium of topical section "Informatik und Gesellschaft", Informatik 2016, Klagenfurt, Austria, September 26, 2016
  115. Knowledge Discovery in Complex Relational Data
    Talk at Oberseminar at AIFB, Karlsruhe Institute of Technology, Germany, June 7, 2016
  116. From Aristotle to Ringelmann: A large-scale analysis of productivity and coordination in Open Source Software projects
    Invited Talk at International Conference on Software Engineering (ICSE 2016), Austin, TX, USA, May 18, 2016
  117. When Network Science meets Software Engineering
    Invited guest lecture at Elite Graduate Program in Software Engineering, Augsburg University, Germany, April 20, 2016
  118. Knowledge Discovery in Complex Relational Data
    Berufungsvortrag at Department of Computer Science, Paderborn University, Germany, February 25, 2016
  119. From Aristotle to Ringelmann: A large-scale analysis of productivity and coordination in Open Source Software projects
    Talk at Software Engineering 2016 (SE), TU Wien, Austria, February 24, 2016
  120. Mining high-frequency data on temporal networks
    Invited Lecture at Workshop on Complex Network Mining and Analysis, Wroclaw University of Technology, Poland, January 9, 2016

    121. 2015

  121. PhD Course: Modeling and Analysis of Complex Networks
    Invited Series of 9 Lectures at Singapore-ETH Centre (SEC), CREATE Campus, Singapore, December 7-11, 2015
  122. Mining Time-Stamped Network Data: Spectral Methods and Centrality Measures
    Invited Talk at workshop Application of network theory on computational social science, GESIS Winter Symposium, Cologne, Germany, December 1, 2015
  123. Mining Social Organizations: A Network Perspective
    Invited Talk at Leibniz Institute for the Social Sciences (GESIS), Cologne, Germany, November 30, 2015
  124. Understanding Social Organizations
    Talk at Dagstuhl Seminar Social Concepts in Self-organising Systems, Dagstuhl, Germany, November 26, 2015
  125. Analysis of Non-Markovian Temporal Networks: Spectral Methods and Centrality Measures
    Seminar Talk at Luxembourg Centre for Systems Biomedicine (LCSB), Luxembourg, November 25, 2015
  126. Mining Social Organizations: A Network Perspective
    Invited Talk at Symposium on computational social science, ETH Zürich, Zürich, Switzerland, November 6, 2015
  127. Understanding Complex Systems: When Big Data meets Network Science
    Invited Talk at Workshop on Self-adaptive and self-organising socio-technical systems held at IEEE SASO 2015, MIT, Cambridge, MA, USA, September 25, 2015
  128. Spectral Methods in the Analysis of Non-Markovian Temporal Networks
    Invited Talk at Harvard Medical School, Prof. Dr. Yang-Yu Liu, Boston, MA, USA, September 25, 2015
  129. Analysis of Non-Markovian Temporal Networks: Spectral Methods and Centrality Measures
    Invited Talk at Network Science Institute, Northeastern University, Boston, MA, USA, September 24, 2015
  130. Analysis of Non-Markovian Temporal Networks
    Talk at interdisciplinary workshop Recognizing the Relevance of Change: Analysis and Control of Time-evolving Networks in Epidemiology and Evolutionary Medicine, Freie Universität Berlin, Germany, July 20-22, 2015
  131. Spectral Methods in the Analysis of Non-Markovian Temporal Networks
    Talk at NetSci, Zaragoza, Spain, June 4, 2015
  132. Analyzing time-stamped network data: When ordering matters
    Talk at NetSci satellite Higher-Order Models in Network Science, Zaragoza, Spain, June 2, 2015
  133. Automated Software Remodularization Based on Move Refactoring - A Complex Systems Approach
    Talk at GI Conference on Software Engineering and Management, Dresden, Germany, March 17-20, 2015
  134. The Social Dimension of Citations
    Invited Talk at COST Workshop Quantifying scientific impact: networks, measures, insights?, Zurich, Switzerland, February 12-13, 2015

    135. 2014

  135. Aggregate Networks Considered Harmful: Towards Higher-Order Models of Time-Varying Networks
    Talk at Second Annual KnowEscape Conference, Thessaloniki, Greece, November 26, 2014
  136. Modeling Time-Varying Complex Networks: The Importance of Non-Markovianity
    Invited Talk at Zürich Seminar on Applied Statistics, Zürich, Switzerland, October 23, 2014
  137. The Social Dimension of Information Ranking
    Talk at Big Data und Gesellschaft: interdisziplinäre Analysen, Stuttgart, Germany, September 22, 2014
  138. Big Data and Socio-Technical Systems
    Invited Keynote at SASO^ST 2014, London, United Kingdom, September 12, 2014
  139. Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization
    Tutorial Lectures at IEEE SASO 2014, London, United Kingdom, September 8, 2014
  140. Diffusion in Non-Markovian Temporal Networks: Slow-Down or Speed-Up?
    Ignite Talk at NetSci 2014, Berkeley, CA, USA, June 6, 2014
  141. Higher-Order Aggregate Representations of Temporal Networks
    Talk at NetSci satellite Higher-Order Models in Network Science, Berkeley, CA, USA, June 3, 2014
  142. Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization
    Invited Lecture Series at iSocial Summer School, Stockholm, Sweden, June 1, 2014
  143. Automated Software Re-modularization Based on Move Refactoring: A Complex Systems Approach
    Contributed Talk at 13th International Conference on Modularity 2014, Lugano, Switzerland, April 23, 2014
  144. When your social position predicts your success: lessons from Open Source communities and citations
    Contributed Talk at Lorentz Centre Workshop Simulating the Social Processes of Science, Leiden, The Netherlands, April 9, 2014
  145. Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities
    Talk at Software Engineering (SE 2014), Kiel, Germany, February 27 2014
  146. Challenges and Research Directions for Self-optimisation, Organic and Autonomic Computing
    Statement at 2nd International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS 2014), Lübeck, Germany, February 25, 2014

    147. 2013

  147. The Social Dimension of Collaborative Information Spaces
    Talk at First Annual KNOWeSCAPE Conference, Aalto University, Espoo, Finland, November 18-20, 2013
  148. Force-based Layout of Non-Markovian Temporal Networks
    Talk at European Conference on Complex Systems (ECCS), Barcelona, Spain, September 20, 2013
  149. Predicting success based on social network analysis
    Invited Talk at ECCS satellite workshop Quantifying Success, Barcelona, Spain, September 18, 2013
  150. The Social Dimension of Information Ranking: A Discussion of Research Challenges and Approaches
    Talk at Workshop Sozioinformatik 2013, Koblenz, Germany, September 16, 2013
  151. Complex Structures and Collective Dynamics in Networked Systems: Foundations for Self-Adaptation and Self-Organization
    3 x tutorial lectures at IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2013), Philadelphia, PA, USA, September 13, 2013, [Tutorial material]
  152. Self-Adaptation and Self-Organization in Socio-Technical Systems: A Tale of Two Layers
    Invited Panel Talk at IEEE SASO 2013, Philadelphia, PA, USA, September 12, 2013
  153. Topological and Temporal Complexity in Socio-Technical Systems
    Talk at Workshop on Self-Adaptation and Self-Organization in Socio-Technical Systems (SASO^ST 2013), Philadelphia, PA, USA, September 9, 2013
  154. Topological and Temporal Complexity in Socio-Technical Systems
    Invited Talk at University of Nebraska at Omaha, NE, USA, September 5, 2013
  155. Topological and Temporal Complexity in Socio-Technical Systems
    Invited Talk at Google Zurich Lab, Zurich, Switzerland, August 26, 2013
  156. Modeling and Analysis of Complex Dynamic Networks: Why Should Computer Scientists Care?
    Invited Talk at Computer Science Colloquium, Augsburg University, Germany, July 18, 2013
  157. The Paths Not Taken: Aggregate Networks Considered Harmful!
    Ignite Talk at NetSci 2013, København, Denmark, June 7, 2013
  158. Social Dynamics in Open Source Communities: Research Methods, Applications and Perspectives
    Talk at NetSci satellite workshop Social Dynamics, København, Denmark, June 4, 2013
  159. Modeling and Analysis of Complex Dynamic Networks: Why Should Computer Scientists Care?
    Invited Talk at NetSci satellite workshop Dynamic Information and Communication Networks, København, Denmark, June 3, 2013
  160. Structure and Dynamics of Collaborative Software Engineering: A Complex Networks Perspective
    Invited Talk at IBM Switzerland, Zürich, Switzerland, April 11, 2013
  161. Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities
    Invited Talk at Monte Verita Symposium Augmenting Software Developer Support to Improve Productivity, Monte Verita, Ascona, Switzerland, March 10-15, 2013

    162. 2012

  162. Vom Programmierer zum Team, vom Team zur Community - Perspektiven des Social Software Engineering
    Invited Talk at DATEV TrendScout Workshop, Nürnberg, Germany, November 27, 2012
  163. A Tunable Mechanism for Identifying Trusted Nodes in Large Scale Distributed Networks
    11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2012), Liverpool, UK, June 25 - 27, 2012
  164. Designing adaptive distributed systems: A complex networks perspective
    Invited talk at research seminar of Prof. Dr. Vincent D. Blondel, Catholic University of Louvain-La-Neuve, Belgium, April 20, 2012
  165. Statistical Mechanics of Networks: Applications in Future Information Systems
    Invited Lecture Series at Summer School "Modeling and Analysis of Novel Mechanisms in Future Internet Applications", University of Wuerzburg, Germany, March 27 - April 3, 2012
  166. Organic Distributed Systems: A Complex Networks Perspective
    First International Workshop on Complex Sciences in the Engineering of Computing Systems (CSECS), held at ARCS 2012, Munich, Germany, February 28, 2012

    167. 2011

  167. Modeling of Emerging Internet Servíces: Social Networks and Crowdsourcing
    Invited Talk at EuroView 2011, University of Würzburg, Germany, August 1, 2011
  168. Harnessing Complex Structures and Collective Dynamics in Large Networked Computing Systems
    Disputation lecture, University of Trier, Germany, May 27, 2011
  169. Physics-inspired Self-Organization and Adaptation in Large Dynamic Overlay Networks
    Invited Talk at Dagstuhl Seminar 11181 "Organic Computing - Design of Self-Organizing Systems", Schloss Dagstuhl, Germany, May 11, 2011
  170. Menschen, Rechner und Atome - Über die Soziophysik verteilter Systeme
    Invited Talk at Colloquium of the Institute of Computer Science, Group of Prof. Dr. Phuoc Tran-Gia, Würzburg, Germany, February 22, 2011
  171. Total vernetzt - Über die Beherrschbarkeit großer verteilter Rechnersysteme
    Invited Talk at Colloquium of the Multimedia Communications Lab, Group of Prof. Dr. Ralf Steinmetz, Darmstadt, Germany, February 9, 2011

    172. 2010

  172. Social Web APIs - Die Durchdringung des WWW
    Talk at DATEV TrendScout Workshop, Nürnberg, Germany, December 2, 2010
  173. Distributed Creation and Adaptation of Random Scale-Free Overlay Topologies
    Talk at IEEE Conference on Self-Organizing and Self-Adaptive Systems (SASO), Budapest, Hungary, September 27 - October 1, 2010
  174. Ordnung im Chaos - Über die statistische Physik vernetzter Rechnersysteme
    DATEV TrendScout Workshop, Nürnberg, Germany, July 27, 2010

    175. 2009

  175. Moore, Amdahl und Gustafson - ManyCores - Hardware- und Softwaretrends
    DATEV TrendScout Workshop, Nürnberg, Germany, November 19, 2009
  176. Die Zukunft von Microsoft .NET
    DATEV TrendScout Workshop, Nürnberg, Germany, November 19, 2009
  177. Breathing Life into Networks
    NetSci 2009, Venice, Italy, July 3, 2009
  178. Harnessing Complexity in Large-Scale Distributed Systems
    Invited Talk at Colloquium of the Department of Biological Physics, Group of Prof. Dr. Tamas Vicsek, Budapest, Hungary, April 16, 2009
  179. Harnessing Complexity in Large-Scale Distributed Systems
    Invited talk at Colloquium of the Computer Networks Group of Prof. Dr. Holger Karl, University of Paderborn, Germany, April 8, 2009
  180. HyperVerse: Simulation and Testbed Reconciled
    Second International Workshop on Massively Multiuser Virtual Environments (MMVE2009) at IEEE Virtual Reality 2009, LaFayette, Louisiana, USA, March 15, 2009
  181. Epidemic Self-Synchronization in Complex Networks
    First International Conference on Complex Sciences (Complex 2009), Shanghai, China, February 23-25, 2009

    182. 2008

  182. Rich Internet Applications
    DATEV TrendScout Workshop, Nürnberg, Germany, December 2, 2008
  183. Self-Organization Aspects in the HyperVerse Project
    Invited Talk at EECS Seminar Series, Group of Prof. Dr. Dan Marinescu, University of Central Florida, Orlando, FL, USA, November 17, 2008
  184. Minimizing Load Delays in Distributed Virtual Environments Using Epidemic Hoarding
    Talk at 4th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom’08), Orlando, FL, USA, November 13 - 16, 2008
  185. Awareness-Driven Phase Transitions in Very Large Scale Distributed Systems
    Talk at 2nd IEEE International Conferences on Self-Adaptive and Self-Organizing Systems (SaSo), Venice, Italy, October 20 - 24, 2008
  186. Dualcore, Quadcore, Octcore ...
    DATEV TrendScout Workshop, Nürnberg, Germany, July 24, 2008
  187. TopGen - Internet Router-Level Topology Generation Based on Technology Constraints
    Talk at 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems (SimuTools’08), Marseille, France, March 3 - 7, 2008

    188. 2007

  188. Trends in Virtualization
    DATEV TrendScout Workshop, Nürnberg, Germany, October 30, 2007
  189. SOA in the Small
    Invited Talk at McKinsey Workshop, Berlin, Germany, September 5, 2007

    190. 2006

  190. Interface-based Web Service Syndication and its Application to a Collaborative Weblog Search Service
    Talk at 2nd International Conference on Collaborative Computing (CollaborateCom’06), Atlanta, Georgia, USA, November 17 - 20, 2006
  191. Web Federates - Towards A Middleware for Highly Scalable Peer-To-Peer Services
    Talk at 2nd International Conference on Web Information Systems and Technologies (WEBIST), Setubal, Portugal, April 11-13, 2006