Recent Publications

• Reyan Ahmed, Greg Bodwin, Faryad Darabi Sahneh, Keaton Hamm, Mohammad Javad Latifi Jebelli, Stephen Kobourov, and Richard Spence. "Graph spanners: A tutorial review." Computer Science Review 37 (2020): 100253.
• Felice De Luca, Emilio Di Giacomo, Seok-Hee Hong, Stephen Kobourov, William Lenhart, Giuseppe Liotta, Henk Meijer, Alessandra Tappini, and Stephen Wismath. "Packing trees into 1-planar graphs." In International Workshop on Algorithms and Computation, pp. 81-93. Springer, Cham, 2020.
• Reyan Ahmed, Faryad Darabi Sahneh, Stephen Kobourov, and Richard Spence. "Kruskal-based approximation algorithm for the multi-level Steiner tree problem." arXiv preprint arXiv:2002.06421 (2020).
• Reyan Ahmed, Greg Bodwin, Faryad Darabi Sahneh, Stephen Kobourov, and Richard Spence. "Weighted Additive Spanners." arXiv preprint arXiv:2002.07152 (2020).
• Reyan Ahmed, Md Saidur Rahman, and Stephen Kobourov. "Online facility assignment." Theoretical Computer Science 806 (2020): 455-467.
• Felice De Luca, Iqbal Hossain, Stephen Kobourov, Katy Börner: Multi-level tree based approach for interactive graph visualization with semantic zoom. arXiv:1906.05996.
• Stephen A Rains, Melanie D Hingle, Mihai Surdeanu, Dane Bell, Stephen Kobourov: A test of the risk perception attitude framework as a message tailoring strategy to promote diabetes screening. Journal of health communication, 34(6), 672-679, 2019.
• Reyan Ahmed, Keaton Hamm, Mohammad Javad Latifi Jebelli, Stephen Kobourov, Faryad Darabi Sahneh, Richard Spence: A General Framework for Multi-level Subsetwise Graph Sparsifiers. arXiv:1905.00536.
• Reyan Ahmed, Keaton Hamm, Mohammad Javad Latifi Jebelli, Stephen Kobourov, Faryad Darabi Sahneh, Richard Spence: Approximation algorithms and an integer program for multi-level graph spanners. arXiv:1904.01135, 2019.
• Alon Efrat, David Eppstein, Daniel Frishberg, Michael Goodrich, Stephen Kobourov, Nil Mamano, Pedro Matias, Valentin Polishchuk: Euclidean TSP, Motorcycle Graphs, and Other New Applications of Nearest-Neighbor Chains. arXiv:1902.06875, 2019.
• Paolo Simonetto, Daniel Archambault, Stephen G Kobourov: Event-Based Dynamic Graph Visualisation. IEEE transactions on visualization and computer graphics, 2018.
• Faryad Darabi Sahneh, Alon Efrat, Stephen Kobourov, Richard Spence: Computing Vertex-Weighted Multi-Level Steiner Trees. arXiv:1811.11700, 2018.
• Md Iqbal Hossain, Stephen Kobourov, Helen Purchase, Mihai Surdeanu: REMatch: Research Expert Matching System. International Symposium on Big Data Visual and Immersive Analytics (BDVA), 2018.
• Dane Bell, Egoitz Laparra, Aditya Kousik, Terron Ishihara, Mihai Surdeanu, Stephen Kobourov: Detecting Diabetes Risk from Social Media Activity. Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018.
• Sabrina Nusrat, Muhammad Jawaherul Alam, Carlos Scheidegger, Stephen Kobourov: Cartogram visualization for bivariate geo-statistical data. IEEE transactions on visualization and computer graphics, 2018.
• Hang Chen, Utkarsh Soni, Yafeng Lu, Ross Maciejewski, Stephen Kobourov: Same Stats, Different Graphs. International Symposium on Graph Drawing and Network Visualization, 2018.
• Patrizio Angelini, Peter Eades, Seok-Hee Hong, Karsten Klein, Stephen Kobourov, Giuseppe Liotta, Alfredo Navarra, Alessandra Tappini: Turning Cliques into Paths to Achieve Planarity. International Symposium on Graph Drawing and Network Visualization, 2018.
• Ace De Luca, Stephen Kobourov, Helen Purchase: Perception of Symmetries in Drawings of Graphs. International Symposium on Graph Drawing and Network Visualization, 2018.
• Felice De Luca, Md Iqbal Hossain, Stephen Kobourov, Anna Lubiw, Debajyoti Mondal: Recognition and Drawing of Stick Graphs. International Symposium on Graph Drawing and Network Visualization, 2018.
• Mershack Okoe, Radu Jianu, Stephen G Kobourov: Node-link or Adjacency Matrices: Old Question, New Insights. IEEE transactions on visualization and computer graphics, 2018.

News and Events

• February 17th, 2020, (11:30-12:30pm, at ENR2 S210):
  Raymundo Navarrete, TRIPODS PostDoc, University of Arizona Mathematics
  Multi-Perspective, Simultaneous Embedding
• February 10th, 2020, (11:30-12:30pm, at ENR2 S210):
  Rachel Oliver, Graduate Associate, University of Arizona
  Superiority of Bayes estimators over the MLE in high dimensional multinomial models and its implication for nonparametric Bayes theory
• January 27th, 2020, (11:30-12:30pm, at ENR2 S210):
  Nick Hengartner, Group Leader of Theoretical Biology and Biophysics at Los Alamos National Laboratory
  Variable screening for sparse encoding of deep neural networks
• November 11th, 2019, (11:30-12:30pm, at ENR2 S210):
  François-Michel Le Tourneau, Director of Research CNRS (France)
  Soundscapes of the Sonoran desert as a way to monitor environmental changes
• November 4th, 2019, (11:30-12:30pm, at ENR2 S210):
  Kate Isaacs, Dept of Computer Science, University of Arizona
  Some Other Sides of Visualization in Support of Data Science
• October 14th, 2019, (11:30-12:30pm, at ENR2 S210):
  Rado Fulek, Dept of Computer Science, University of Arizona
  Atomic Embeddability, Clustered Planarity, and Thickenability
• October 7th, 2019, (11:30-12:30pm, at ENR2 S210):
  Jack Snoeyink, Dept of Computer Science, UNC Chapel Hill
  Data representations and modeling in structural molecular biology
• September 30th, 2019, (11:30-12:30pm, at ENR2 S210):
  Xueying Tang, University of Arizona
  Analysis of Large Multi-Relational Networks
• September 23rd, 2019, (11:30-12:30pm, at ENR2 S210):
  Kwang-Sung Jun, University of Arizona
  Adaptive data collection for accelerating discovery rates
• September 9th, 2019, (11:30-12:30pm, at ENR2 S210):
  Stephen Kobourov, University of Arizona
  Algorithms and Metaphors for Graph Visualization
• June 13th, 2019 (11:00 AM, Gould-Simpson 701):
  Radoslav Fulek, Institute of Science and Technology, Austria
  Eliminating Crossings in Drawings of Graphs
• May 20-23, 2019 (Biosphere 2 in Oracle, Arizona):
  TRIPODS 2nd Southwest Summer Conference
• April 29th 2019 (10:30am, ENR2 S210):
  Andrea Richa, Arizona State University
  Algorithmic Foundations of Programmable Matter
• April 29th 2019 (11:30am, ENR2 S210):
  Kristi Potter, National Renewable Energy Laboratory
  Uncertainty Visualization
• April 22th, 2019 (11:30-12:30pm, ENR2 S210):
  Laura K Meredith, University of Arizona, School of Natural Resources and the Environment
  Biosphere 2 Science: Large Scale Research with Big Data Needs
• April 15th, 2019 (11:30am, ENR2 S210):
  Peter Behroozi, University of Arizona Steward Observatory
  Reverse-Engineering Galaxies with the UniverseMachine
• April 8th, 2019, (11:30-12:30pm, at ENR2 S210):
  Michael Chertkov, University of Arizona
  Interpretable & Tractable Machine Learning for Natural and Engineering Sciences
• April 1st, 2019, (11:30-12:30pm, at ENR2 S210):
  Mohammad(Arash) Norouzzadeh, University of Wyoming
  Automatically Identifying, Counting, and Describing Wild Animals in Camera-trap Images with Deep Learning
• March 25th, 2019, (11:30-12:30pm, at ENR2 S210):
  Matthew Mazloff, Scripps Institution of Oceanography
  Data Assimilation for Estimating the Past and Future Ocean State: Reanalysis, State Estimation, and Forecasting
• March 18th, 2019, (11:30-12:30pm, at ENR2 S210):
  Yusu Wang, Ohio State University
  Topological and geometric methods for graph analysis
• February 11th, 2019, (11:30-12:30pm, at ENR2 S210):
  Yingbin Liang, Ohio State University
  SGD Converges to Global Minimum in Deep Learning via Star-Convex Path
• February 25, 2019, (11:00 AM Location: ENR2 S210):
  Yuxin Chen, Princeton University
  Stability, nonconvex optimization, and asymmetry in low-rank matrix estimation
• February 18th, 2019, (11:30-12:30pm, at ENR2 S210):
  David Glickenstein, University of Arizona
  Geometric Methods for Analysis of Shapes
• February 11th, 2019, (11:30-12:30pm, at ENR2 S210):
  Helen Zhang, University of Arizona
  Scalable and Model-free Methods for Multiclass Probability Estimation
• February 4th, 2019, (11:30-12:30pm, at ENR2 S210):
  Roberto Furfaro, University of Arizona
  Deep Learning Models for Autonomous Space Guidance
• January 28th 2019, (11:30-12:30pm, at ENR2 S210):
  Ravi Tandon, University of Arizona
  Storage Constrained Private Information Retrieval- interplay between privacy, storage and caching
• January 21st 2019 (11:30-12:30pm, at ENR2 S395):
  Carolina Nobre, University of Utah
  Visualizing Multivariate Networks
• January 14th 2019, (11:30-12:30pm, at ENR2 S210):
  Michael Gleicher, University of Wisconsin, Madison
  What Shakespeare Taught Us About Data Science and Visualization