Jun.-Prof. Dr. Michael Krone

Juniorprofessor für Visuelle Big Data Analytik in den Lebenswissenschaften

Büro
Sand 14
72076 Tübingen
Raum C104 (Erdgeschoss)
 +49 7071 29-70456
michael.kronespam prevention@uni-tuebingen.de
http://va.informatik.uni-tuebingen.de

Sprechzeiten
nach Vereinbarung

Profil auf Google Scholar
Profil auf ResearchGate
ORCiD: 0000-0002-1445-7568

 


Forschung

Schwerpunkte

  • Wissenschaftliche Visualisierung für
    • Molekulare Strukturen / Strukturbiologie
    • Materialwissenschaften
    • Biomedizinische Daten
  • Informationsvisualisierung & Visual Analytics
    • Interaktive visuelle Analyse großer Daten (Big Data)
    • Immersive Analytics
    • Angewandtes Machine Learning
  • Computergraphik
    • Rendering & Beleuchtung
  • Human-Computer Interaction
    • Multimodale Interaktion
    • VR/AR, mobile Geräte
  • Parallelisierung & GPGPU
    • CUDA

Forschungsprojekte

Siehe Projektseite.


09/2022-06/2023
Gastprofessor (Visiting Assistant Professor)

an der Tandon School of Engineering der New York University (NYU)

Seit 2018
Juniorprofessor für Visuelle Big Data Analytik

an der Universität Tübingen
(bis 2022: Junior-Stiftungsprofessur der Carl-Zeiss-Stiftung)

SoSe 2016 & 2017
Gastdozent

an der Ludwig-Maximilians-Universität (LMU), München

2016-2018
PostDoc

am Visualisierungsinstitut der Universität Stuttgart (VISUS)

2015
Promotion (Dr. rer. nat.)

Doktorprüfung in Informatik (summa cum laude), Hauptberichter: Prof. Dr. Thomas Ertl (Universität Stuttgart), Mitberichter: Prof. Amitabh Varshney, Ph.D. (University of Maryland, College Park, USA)

2011
Forschungsaufenthalt

an der University of Illinois at Urbana-Champaign, IL, USA (Theoretical and Computational Biophysics Group)

2009-2015
Wissenschaftlicher Mitarbeiter und Doktorand

bei Prof. Dr. Thomas Ertl am Visualisierungsinstitut der Universität Stuttgart (VISUS)

2002-2008
Diplomstudium Informatik

an der Universität Stuttgart
Nebenfach: Technische Biologie

1983
geb. in Stuttgart

Publikationen

2021 – 2025

2023
  • M. Schäfer, N. Brich, J. Byska, S. M. Marques, D. Bednar, P. Thiel, B. Kozlikova, and M. Krone, “InVADo: Interactive Visual Analysis of Molecular Docking Data,” IEEE Trans. Vis. Comput. Graphics, 2023 (accepted Nov 2023, to appear).
  • M. Lang, C. Strobel, F. Weckesser, D. Langlois, E. Kasneci, Barbora Kozlikova, and M. Krone, “A multimodal smartwatch-based interaction concept for immersive environments,” Computers & Graphics, vol. 117, pp. 85–95, 2023.
  • S. C. Quispe, J. Rulff, E. McGowan, B. Steers, G. Wu, S. Chen, I. Roman, R. Lopez, E. Brewer, C. Zhao, J. Qian, K. Cho, H. He, Q. Sun, H. T. Vo, J. P. Bello, M. Krone, C. Silva, “ARGUS: Visualization of AI-assisted Task Guidance in AR,” IEEE Trans. Vis. Comput. Graph., 2023 (to appear, IEEE VIS 2023 Honorable Mention).
  • S. P. Feyer, B. Pinaud, S. Kobourov, N. Brich, M. Krone, A. Kerren, M. Behrisch, F. Schreiber, and K. Klein, “2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality,” IEEE Trans. Vis. Comput. Graph., 2023 (to appear).
  • A. Sterzik, N. Lichtenberg, J. Wilms, M. Krone, D. Cunningham, and K. Lawonn, “Perception of Line Attributes for Visualization,” IEEE Trans. Vis. Comput. Graph., 2023 (to appear).
  • L. Joos, K. Klein, M. T. Fischer, F. L. Dennig, D. Keim, M. Krone, “Exploring Trajectory Data in Augmented Reality: A Comparative Study of Interaction Modalities,” in IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2023 (to appear).
  • N. Brich, N. Schacherer, M. Hoene, C. Weigert, R. Lehmann, M. Krone, “visMOP – A Visual Analytics Approach for Multi-omics Pathways,” Computer Graphics Forum, vol. 42, no. 3, pp. 259–270, 2023.
  • A. Sterzik, N. Lichtenberg, M. Krone, D. Baum, D.W. Cunningham, K. Lawonn, “Enhancing Molecular Visualization: Perceptual Evaluation of Line Variables with Application to Uncertainty Visualization,” Computers & Graphics, vol. 114, pp. 401–413, 2023.
  • D. Kuťák, P.-P. Vázquez, T. Isenberg, M. Krone, M. Baaden, J. Byška, B. Kozlíková, and H. Miao, “State of the Art of Molecular Visualization in Immersive Virtual Environments,” Computert Graphics Forum, vol. 42, no. 6, 2023.
  • T. A. Harbig, J. Fratte, M. Krone, K. Nieselt, “OmicsTIDE: interactive exploration of trends in multi-omics data,” Bioinformatics Advances, vol. 3, no. 1, p. vbac093, 2023.
2022
  • C. Holzapfel, M. Hoene, X. Zhao, C. Hu, C. Weigert, A. Niess, G. Xu, R. Lehmann, A. Dräger, M. Krone, "FluxomicsExplorer: Differential visual analysis of Flux Sampling based on Metabolomics," Computers & Graphics, vol. 108, pp. 11–21, 2022. Demo
  • A. Sterzik, N. Lichtenberg, M. Krone, D. Cunningham, K. Lawonn, “Perceptual Evaluation of Common Line Variables for Displaying Uncertainty on Molecular Surfaces,” in EG Workshop on Visual Computing for Biology and Medicine, 2022.
  • J. Hombeck, M. Meuschke, S. Lieb, N. Lichtenberg, R. Datta, M. Krone, C. Hansen, B. Preim, K. Lawonn, “Distance Visualizations for Vascular Structures in Desktop and VR: Overview and Implementation,” in EG Workshop on Visual Computing for Biology and Medicine, 2022.
  • J. Scheer, A. Volkert, N. Brich, L. Weinert, N. Santhanam, M. Krone, T. Ganslandt, M. Boeker, T. Nagel, “Visualization Techniques of Time-Oriented Data for the Comparison of Single Patients With Multiple Patients or Cohorts: Scoping Review,” Journal of Medical Internet Research, 24(9):e38041, 2022. Website
  • N. Brich, C. Schulz, J. Peter, W. Klingert, M. Schenk, D. Weiskopf, and M. Krone, “Visual Analytics of Multivariate Intensive Care Time Series Data,” Computer Graphics Forum, vol. 41, no. 6, 2022.
2021
  • K. Schatz, J. J. Franco-Moreno, M. Schäfer, A. S. Rose, V. Ferrario, J. Pleiss, P.-P. Vázquez, T. Ertl, and M. Krone, “Visual Analysis of Large-Scale Protein-Ligand Interaction Data,” Computer Graphics Forum, vol. 40, no. 6, 2021.
  • K. Schatz, F. Frieß, M. Schäfer, P. C. F. Buchholz, J. Pleiss, T. Ertl, and M. Krone, “Analyzing the similarity of protein domains by clustering Molecular Surface Maps,” Computers & Graphics, vol. 99, pp. 114–127, 2021.
  • P. Hermosilla, M. Schäfer, M. Lang, G. Fackelmann, P. Vázquez, B. Kozlíková, M. Krone, T. Ritschel, T. Ropinski, “Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures,” in International Conference on Learning Representations (ICLR), 2021.

2016 – 2020

2020
  • N. Brich, C. Schulz, J. Peter, W. Klingert, M. Schenk, D. Weiskopf, M. Krone, “Visual Analysis of Multivariate Intensive Care Surveillance Data,” in EG Workshop on Visual Computing for Biology and Medicine, 2020 (Best Paper Honorable Mention Award).
  • K. Schatz, F. Frieß, M. Schäfer, T. Ertl, M. Krone, “Analyzing Protein Similarity by Clustering Molecular Surface Maps,” in EG Workshop on Visual Computing for Biology and Medicine, 2020.
  • G. Reina, H. Childs, K. Matković, K. Bühler, M. Waldner, D. Pugmire, B. Kozlíková, T. Ropinski, P. Ljung, T. Itoh, E. Gröller, M. Krone, “The moving target of visualization software for an increasingly complex world,” Computers & Graphics, vol. 87, pp. 12-29, 2020.
  • K. Schatz, J. Schneider, C. Müller, M. Krone, G. Reina, T. Ertl, “Abstracted Visualization of Halo Topologies in Dark Matter Simulations,” in Topological Methods in Data Analysis and Visualization V (Mathematics and Visualization), Springer, 2020.
2019
  • X. Martinez, M. Krone, N. Alharbi, A.S. Rose, R.S. Laramee, S. O'Donoghue, M. Baaden, M. Chavent, “Molecular Graphics: Bridging Structural Biologists and Computer Scientists,” Structure, vol. 27, no. 11, pp. 1617-1623, 2019.
  • T. Rau, S. Zahn, M. Krone, G. Reina, T. Ertl, “Interactive CPU-based Ray Tracing of Solvent Excluded Surfaces,” in EG Workshop on Visual Computing for Biology and Medicine, pp. 239-251, 2019.
  • N. Alharbi, M. Krone, M. Chavent, R. S. Laramee, “Hybrid Visualization of Protein-Lipid and Protein-Protein Interaction,” in EG Workshop on Visual Computing for Biology and Medicine, pp. 213-223, 2019.
  • K. Schatz, M. Krone, T. Bauer, V. Ferrario, J. Pleiss, T. Ertl, “Molecular Sombreros: Abstract Visualization of Binding Sites within Proteins,” in EG Workshop on Visual Computing for Biology and Medicine, pp. 225-237, 2019.
  • K. Schatz, M. Krone, J. Pleiss, T. Ertl, “Interactive visualization of biomolecules’ dynamic and complex properties,” The European Physical Journal Special Topics, vol. 227, no. 14, pp. 1725–1739, 2019.
  • P. Gralka, M. Becher, M. Braun, F. Frieß, C. Müller, T. Rau, K. Schatz, C. Schulz, M. Krone, G. Reina, T. Ertl, “MegaMol – a comprehensive prototyping framework for visualizations,” The European Physical Journal Special Topics, vol. 227, no. 14, pp. 1817–1829, 2019.
  • M. Schäfer, M. Krone, “A Massively Parallel CUDA Algorithm to Compute and Visualize the Solvent Excluded Surface for Dynamic Molecular Data,” in EG/EuroVis 2019 Workshop on Molecular Graphics and Visual Analysis of Molecular Data (MolVA), 2019, pp. 1-9.
  • X. Martinez, M. Krone, Marc Baaden, “QuickSES: A Library for Fast Computation of Solvent Excluded Surfaces,” in EG/EuroVis 2019 Workshop on Molecular Graphics and Visual Analysis of Molecular Data (MolVA), 2019, pp. 11–15.
  • A. Groß, M. Becher, G. Reina, T. Ertl, M. Krone, “A User Interaction Design for Object Manipulation via Eye Tracking in Virtual Reality,” in IEEE VR 2019 Workshop on Novel Input Devices and Interaction Techniques (NIDIT), 2019.
2018
  • F. Mwalongo, M. Krone, G. Reina, and T. Ertl, “Web-based Volume Rendering using Progressive Importance-based Data Transfer,” in International Symposium on Vision, Modeling, and Visualization (VMV), 2018.
  • N. Alharbi, M. Chavent, M. Krone, and R. S. Laramee, “VAPLI: Novel Visual Abstraction for Protein-Lipid Interactions,” in IEEE Scientific Visualization Conference (SciVis) Short Papers, 2018.
  • C. Schulz, K. Schatz, M. Krone, M. Braun, T. Ertl, and D. Weiskopf, “Uncertainty Visualization for Secondary Structures of Proteins,” in 2018 IEEE Pacific Visualization Symposium (PacificVis), 2018, pp. 96–105.
  • C. Müller, M. Krone, M. Huber, V. Biener, D. Herr, S. Koch, G. Reina, D. Weiskopf, and T. Ertl, “Interactive Molecular Graphics for Augmented Reality Using HoloLens,” Journal of Integrative Bioinformatics, vol. 15, no. 2, 2018.
  • M. Krone, S. Grottel, G. Reina, C. Müller, and T. Ertl, “10 Years of MegaMol: The Pain and Gain of Creating Your Own Visualization Framework,” IEEE Computer Graphics and Applications, vol. 38, no. 1, pp. 109–114, 2018.
  • P. Gralka, S. Grottel, J. Staib, K. Schatz, G. Karch, M. Hirschler, M. Krone, G. Reina, S. Gumhold, and T. Ertl, “2016 IEEE Scientific Visualization Contest Winner: Visual and Structural Analysis of Point-based Simulation Ensembles,” IEEE Computer Graphics and Applications, vol. 38, no. 3, pp. 106–117, May 2018.
  • C. P. Bradley, N. Emamy, T. Ertl, D. Göddeke, A. Hessenthaler, T. Klotz, A. Krämer, M. Krone, B. Maier, M. Mehl, T. Rau, and O. Röhrle, “Enabling Detailed, Biophysics-Based Skeletal Muscle Models on HPC Systems,” Front. Physiol., vol. 9, 2018.
  • M. Becher, M. Krone, G. Reina, and T. Ertl, “Feature-based Volumetric Terrain Generation and Decoration,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–1, 2018.
2017
  • K. Schatz, M. Krone, C. Müller, J. Schneider, G. Reina, and T. Ertl, “Visualization of Halo Topologies in Dark Matter Simulations,” in Proceedings of TopoInVis, 2017.
  • S. Reinhardt, M. Huber, O. Dumitrescu, M. Krone, B. Eberhardt, and D. Weiskopf, “Visual Debugging of SPH Simulations,” in 2017 21st International Conference Information Visualisation (IV), 2017, pp. 117–126.
  • T. Rau, M. Krone, G. Reina, and T. Ertl, “Challenges and Opportunities using Software-defined Visualization in MegaMol,” in 7th Workshop on Visual Analytics, Information Visualization and Scientific Visualization, 2017.
  • M. Krone, K. Schatz, N. Hieronymus, C. Müller, M. Becher, T. Barthelmes, A. Cooper, S. Currle, P. Gralka, M. Hlawatsch, L. Pietrzyk, T. Rau, G. Reina, R. Trefft, and T. Ertl, “From Visualization Research to Public Presentation - Design and Realization of a Scientific Exhibition,” in Proceedings of SIGRAD 2017, 2017, vol. 143, pp. 17–24.
  • M. Krone, F. Frieß, K. Scharnowski, G. Reina, S. Fademrecht, T. Kulschewski, J. Pleiss, and T. Ertl, “Molecular Surface Maps,” IEEE Trans. Vis. Comput. Graphics, vol. 23, no. 1, pp. 701–710, 2017.
  • M. Krone, G. Reina, S. Zahn, T. Tremel, C. Bahnmüller, and T. Ertl, “Implicit Sphere Shadow Maps,” in 2017 IEEE Pacific Visualization Symposium (PacificVis), 2017, pp. 275–279.
  • B. Kozlíková, M. Krone, M. Falk, N. Lindow, M. Baaden, D. Baum, I. Viola, J. Parulek, and H.-C. Hege, “Visualization of Biomolecular Structures: State of the Art Revisited,” Comput. Graph. Forum, vol. 36, no. 8, pp. 178–204, 2017.
  • P. Hermosilla, M. Krone, V. Guallar, P.-P. Vázquez, À. Vinacua, and T. Ropinski, “Interactive GPU-based generation of solvent-excluded surfaces,” Vis Comput, vol. 33, no. 6, pp. 869–881, Jun. 2017.
  • M. Becher, M. Krone, G. Reina, and T. Ertl, “Feature-based Volumetric Terrain Generation,” in Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, New York, NY, USA, 2017, pp. 10:1–10:9 (Best Paper Award).
  • N. Alharbi, M. Alharbi, X. Martinez, M. Krone, A. S. Rose, M. Baaden, R. S. Laramee, and M. Chavent, “Molecular Visualization of Computational Biology Data: A Survey of Surveys,” in EuroVis 2017 - Short Papers, 2017.
2016
  • K. Schatz, C. Müller, M. Krone, J. Schneider, G. Reina, and T. Ertl, “Interactive visual exploration of a trillion particles,” in 6th IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2016, pp. 56–64.
  • F. Mwalongo, M. Krone, M. Becher, G. Reina, and T. Ertl, “GPU-based remote visualization of dynamic molecular data on the web,” Graphical Models, 2016.
  • F. Mwalongo, M. Krone, G. Reina, and T. Ertl, “State-of-the-Art Report in Web-based Visualization,” Comput. Graph. Forum, vol. 35, no. 3, pp. 553–575, 2016.
  • C. Müller, M. Krone, K. Scharnowski, G. Reina, and T. Ertl, “An Evaluation of the Utility of Large High-Resolution Displays for Comparative Scientific Visualisation,” IJSI, vol. 9, no. 3, pp. 355–370, 2016.
  • M. Krone, B. Kozlíkova, N. Lindow, M. Baaden, D. Baum, J. Parulek, H.-C. Hege, and I. Viola, “Visual Analysis of Biomolecular Cavities: State of the Art,” Comput. Graph. Forum, vol. 35, no. 3, pp. 527–551, 2016.
  • S. Grottel, G. Reina, M. Krone, C. Müller, and T. Ertl, “MegaMol - for Fun and Profit,” in Workshop on Visualization in Practice, 2016 (Best Workshop Paper Award).
  • M. Falk, S. Grottel, M. Krone, and G. Reina, Interactive GPU-based Visualization of Large Dynamic Particle Data. Morgan & Claypool Publishers, 2016.

2011 – 2015

2015
  • K. Scharnowski, M. Krone, G. Reina, and T. Ertl, “On the Reproducibility of our Biomolecular Visualization,” in EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3), 2015.
  • B. Rau, F. Friess, M. Krone, C. Müller, and T. Ertl, “Enhancing visualization of molecular simulations using sonification,” in IEEE International Workshop on Virtual and Augmented Reality for Molecular Science (VARMS@IEEEVR), 2015, pp. 25–30.
  • F. Mwalongo, M. Krone, M. Becher, G. Reina, and T. Ertl, “Remote Visualization of Dynamic Molecular Data Using WebGL,” in International Conference on 3D Web Technology, 2015, pp. 115–122.
  • C. Müller, M. Krone, K. Scharnowski, G. Reina, and T. Ertl, “On the Utility of Large High-Resolution Displays for Comparative Scientific Visualisation,” in International Symposium on Visual Information Communication and Interaction (VINCI), 2015, vol. 8, pp. 131–136.
  • K. Lawonn, M. Krone, T. Ertl, and B. Preim, “On the Reproducibility of Line Integral Convolution for Real-Time Illustration of Molecular Surface Shape and Salient Regions,” in EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3), 2015.
  • M. Krone, C. Müller, T. Ertl, D. Kauker, A. C. Silva, D. Salsa, M. Gräber, and M. Kallert, “Remote Rendering and User Interaction on Mobile Devices for Scientific Visualization,” in International Symposium on Visual Information Communication and Interaction (VINCI), 2015, vol. 8.
  • M. Krone, “Interactive Visual Analysis of Biomolecular Simulations,” Dissertation, University of Stuttgart, 2015.
  • B. Kozlíková, M. Krone, N. Lindow, M. Falk, M. Baaden, D. Baum, I. Viola, J. Parulek, and H.-C. Hege, “Visualization of Biomolecular Structures: State of the Art,” in Eurographics Conference on Visualization (EuroVis) - STARs, 2015, pp. 61–81.
  • S. Grottel, M. Krone, C. Müller, G. Reina, and T. Ertl, “MegaMol - A Prototyping Framework for Particle-based Visualization,” IEEE Trans. Vis. Comput. Graphics, vol. 21, no. 2, pp. 201–214, 2015.
2014
  • K. Scharnowski, M. Krone, G. Reina, T. Kulschewski, J. Pleiss, and T. Ertl, “Comparative Visualization of Molecular Surfaces Using Deformable Models,” Comput. Graph. Forum, vol. 33, no. 3, pp. 191–200, 2014.
  • F. Mwalongo, M. Krone, G. Karch, M. Becher, G. Reina, and T. Ertl, “Visualization of Molecular Structures using State-of-the-Art Techniques in WebGL,” in International Conference on 3D Web Technology, 2014, vol. 19, pp. 133–141.
  • K. Lawonn, M. Krone, T. Ertl, and B. Preim, “Line Integral Convolution for Real-Time Illustration of Molecular Surface Shape and Salient Regions,” Comput. Graph. Forum, vol. 33, no. 3, pp. 181–190, 2014.
  • M. Krone, D. Kauker, G. Reina, and T. Ertl, “Visual Analysis of Dynamic Protein Cavities and Binding Sites,” in IEEE PacificVis - Visualization Notes, 2014, vol. 1, pp. 301–305.
  • M. Krone, M. Huber, K. Scharnowski, M. Hirschler, D. Kauker, G. Reina, U. Nieken, D. Weiskopf, and T. Ertl, “Evaluation of Visualizations for Interface Analysis of SPH,” in EuroVis - Short Papers, 2014, vol. 3, pp. 109–113.
  • J. Heinrich, M. Krone, S. I. O’Donoghue, and D. Weiskopf, “Visualising Intrinsic Disorder and Conformational Variation in Protein Ensembles,” Faraday Discuss., vol. 169, pp. 179–193, 2014.
  • T. Ertl, M. Krone, S. Kesselheim, K. Scharnowski, G. Reina, and C. Holm, “Visual Analysis for Space-Time Aggregation of Biomolecular Simulations,” Faraday Discuss., vol. 169, pp. 167–178, 2014.
2013
  • K. Scharnowski, M. Krone, F. Sadlo, P. Beck, J. Roth, H.-R. Trebin, and T. Ertl, “2012 IEEE Visualization Contest Winner: Visualizing Polarization Domains in Barium Titanate,” IEEE Comput. Graph. Appl., vol. 33, no. 5, pp. 9–17, 2013.
  • M. Krone, G. Reina, C. Schulz, T. Kulschewski, J. Pleiss, and T. Ertl, “Interactive Extraction and Tracking of Biomolecular Surface Features,” Comput. Graph. Forum, vol. 32, no. 3, pp. 331–340, 2013.
  • D. Kauker, M. Krone, A. Panagiotidis, G. Reina, and T. Ertl, “Rendering Molecular Surfaces using Order-Independent Transparency,” in Eurographics Symposium on Parallel Graphics and Visualization, 2013, vol. 13, pp. 33–40.
  • D. Kauker, M. Krone, A. Panagiotidis, G. Reina, and T. Ertl, “Evaluation of per-pixel linked lists for distributed rendering and comparative analysis,” CVS, vol. 15, no. 3, pp. 111–121, 2013.
  • M. Falk, M. Krone, and T. Ertl, “Atomistic Visualization of Mesoscopic Whole-Cell Simulations Using Ray-Casted Instancing,” Comput. Graph. Forum, vol. 32, no. 8, pp. 195–206, 2013.
2012
  • M. Krone, J. E. Stone, T. Ertl, and K. Schulten, “Fast Visualization of Gaussian Density Surfaces for Molecular Dynamics and Particle System Trajectories,” in EuroVis - Short Papers, 2012, vol. 1, pp. 67–71.
  • S. Grottel, M. Krone, K. Scharnowski, and T. Ertl, “Object-Space Ambient Occlusion for Molecular Dynamics,” in IEEE Pacific Visualization Symposium, 2012, pp. 209–216.
  • M. Falk, M. Krone, and T. Ertl, “Atomistic Visualization of Mesoscopic Whole-Cell Simulations,” in EG Workshop on Visual Computing for Biology and Medicine, 2012, pp. 123–130 (Best Paper Award).
2011
  • B. Thomaß, J. Walter, M. Krone, H. Hasse, and T. Ertl, “Interactive Exploration of Polymer-Solvent Interactions,” in Vision, Modeling, and Visualization, 2011, vol. 16, pp. 301–308.
  • M. Krone, S. Grottel, and T. Ertl, “Parallel Contour-Buildup Algorithm for the Molecular Surface,” in IEEE Symposium on Biological Data Visualization, 2011, pp. 17–22.
  • M. Krone, M. Falk, S. Rehm, J. Pleiss, and T. Ertl, “Interactive Exploration of Protein Cavities,” Comput. Graph. Forum, vol. 30, no. 3, pp. 673–682, 2011.
  • M. Chavent, B. Lévy, M. Krone, K. Bidmon, J.-P. Nominé, T. Ertl, and M. Baaden, “GPU-powered Tools Boost Molecular Visualization,” Brief. Bioinform., vol. 12, no. 6, pp. 689–701, 2011.

2008 – 2010

2010
  • M. Krone, C. Dachsbacher, and T. Ertl, “Parallel Computation and Interactive Visualization of Time-varying Solvent Excluded Surfaces,” in Proc. of ACM International Conference on Bioinformatics and Computational Biology, 2010, vol. 1, pp. 402–405.
2009
  • M. Krone, K. Bidmon, and T. Ertl, “Interactive Visualization of Molecular Surface Dynamics,” IEEE Trans. Vis. Comput. Graphics, vol. 15, no. 6, pp. 1391–1398, 2009 (Best Paper Honorable Mention).
2008
  • M. Krone, K. Bidmon, and T. Ertl, “GPU-based Visualisation of Protein Secondary Structure,” in Theory and Practice of Computer Graphics, 2008, vol. 8, pp. 115–122.

Poster & Kunst

  • C. Müller, K. Schatz, F. Frieß, M. Krone, "Molecular Planets," Artwork, IEEE VIS Arts Program (VISAP), 2022. Website
  • M. Bok, M. Schäfer, N. Brich, K. Schreiner, V. Fäßler, M. Keckeisen, O. Kohlbacher, M. Krone, "Comparative Visual Analysis of Molecular Dynamics," Poster, EG Workshop on Visual Computing for Biology and Medicine, 2022.
  • M. Krone, A. Dräger, E. Cobanoglu, M. O. Harke, M. Hoene, C. Weigert, R. Lehmann,"A Web-based Visual Analytics Application for Biological Networks," Poster, EG EuroVis, 2020.
  • M. Schäfer, A. Cremer, M. Aktürk, M. Krone, "Towards an Enhanced Interactive Protein Sequence Diagram," Poster, EG Workshop on Visual Computing for Biology and Medicine, 2020. (Best Poster Award)
  • K. Schatz, M. Krone, V. Ferrario, J. Pleiss, T. Ertl, "Visual Analysis of Enzyme-Substrate Interactions," Abstract/Poster, BioVis@ISMB 2018.

 


Preise, Auszeichnungen und Förderungen

  • Sino-German Center Mobility Programme 2020: Development of novel complementary mass spectrometry-driven strategies to identify and study the positive effects of myometabokines on diabetes prevention by a multi-omics approach (PIs: Xu Guowang,  Dalian Institute of Chemical Physics, Chinese Academy of Sciences; Rainer Lehmann, University Hospital Tübingen)
  • Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM) 2020: Honorable Mention für “Visual Analysis of Multivariate Intensive Care Surveillance Data” (Endauswahl für den Best Paper Award) & Best Poster Award für “Towards an Enhanced Interactive Protein Sequence Diagram”
  • DFG-Projekt IVM: Illustrative Visualisierung der Unsicherheit in Dynamischen Molekülstrukturen (Sachbeihilfe, Förderzeitraum: 2021 - 2022, DFG Projektnummer 437702916)
  • NVIDIA GPU Grant für Accelerated Data Science (August 2019)
  • DFG-GACR-Projekt PROLINT: Visuelle Analyse von Protein-Ligand Interaktionen (Sachbeihilfe, Förderzeitraum: 2018 - 2021, DFG Projektnummer 391088465)
  • ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D) 2017: Best Paper Award für “Feature-based Volumetric Terrain Generation” (3. Platz)
  • IEEE VGTC VPG Doctoral Dissertation Award 2016 Honorable Mention
  • Doktorandenpreis des Sonderforschungsbereichs 716 2016 (beste Doktorarbeit 2014/2015)
  • IEEE VIS 2016: Gewinner des IEEE SciVis Contest 2016 (S. Grottel, P. Gralka, J. Staib, K. Schatz, G. K. Karch, M. Hirschler, M. Krone, G. Reina, S. Gumhold, T. Ertl: “Visual and Structural Analysis of Point-based Simulation Ensembles”)
  • IEEE VIS 2016 Workshop on Visualization in Practice: Best Paper Award für “MegaMol for Fun and Profit” (S. Grottel, G. Reina, M. Krone, C. Müller, T. Ertl)
  • IEEE VisWeek 2012: Gewinner des IEEE SciVis Contest (K. Scharnowski, M. Krone, P. Beck, F. Sadlo: “Visualization of Polarization Domains in Barium Titanate”)
  • Eurographics Workshop on Visual Computing for Biology and Medicine 2012: Best Paper Award für “Atomistic Visualization of Mesoscopic Whole-Cell Simulations”
  • IEEE VisWeek 2009: Honorable Mention für “Interactive Visualization of Molecular Surface Dynamics” (Endauswahl für den Best Paper Award)

Funktionen / Mitgliedschaften (Auswahl)

  • IEEE-Mitglied
  • Eurographics-Mitglied
  • IEEE Visualization Conference (IEEE VIS) 2022 & 2023: Application Spotlight Chair
  • EG/VGTC Conference on Visualization (EuroVis) 2022 & 2023: Poster Chair
  • ACM ETRA 2023: Finance Chair
  • General Chair BioVis COSI @ ISMB 2021 - 2023
  • General Chair 10th Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM 2020)
  • Co-Organisator der NII Shonan Meeting Seminar No.145 "The Moving Target of Visualization Software for an Ever More Complex World" (zusammen mit Prof. Hank Childs, University of Oregon, USA, Prof. Takayuki Itoh, Ochanomizu University, Japan und Dr. Guido Reina, Universität Stuttgart)
  • Organisationskomitee (Abstract Chair) des Community of Special Interest (COSI) event “BioVis – Biological Data Visualizations” der ISMB (Chicago, IL, Jun. 2018)
  • Co-Organisator des “Workshop on Molecular Graphics and Visual Analysis of Molecular Data” der 20th EG/VGTC Conference on Visualization (EuroVis, Brno, Czech Republic, Jun. 2018)
  • Co-Organisator der Special Session “From Virtual Reality to Immersive Analytics in Bioinformatics” der Stereoscopic Displays and Applications XXIX (Burlingame, CA, Feb. 2018)
  • Co-Organisator des CECAM-Workshops “Particle-based Simulations for Hard and Soft Matter” (Okt. 2016)
  • Komiteemitglied und Opponent für die Verteidigung der Dissertation von Herrn Ivan Kolesár (23.06.2017, Universität Bergen, Norwegen; Betreuer: Prof. Dr. Helwig Hauser)
  • Mitgliedschaft in Programmkomitees (Auswahl):
    • IEEE VIS
    • EG/VGTC Conference on Visualization (EuroVis)
    • IEEE Pacific Visualization Symposium
    • International Symposium on Big Data Visual Analytics
    • Symposium on Biological Data Visualization
  • seit 2009: Tätigkeit als Gutachter für diverse wissenschaftliche Konferenzen und Fachzeitschriften in den Bereichen Visualisierung, Computergraphik und Bioinformatik (unter anderem IEEE Trans. Vis. Comp. Graphics, Comput. Graph. Forum, ACM SIGGRAPH Asia, J. Mol. Graph. Model., J. Comput. Chem., IEEE Trans. Comput. Biol. Bioinf., Comp. Biol. Chem.)