Professor Seokhee Hong
M Sc PhD Ewha University, Seoul, Korea
2013 - 2016 ARC Future Fellowship (FT3)
School of Computer Science
Member of the Charles Perkins Centre
J12 - The School of Information Technologies
The University of Sydney
Telephone | +61 2 9036 9710 |
Fax | +61 2 9351 3838 |
Website |
Centre for Translational Data Science School of Computer Science |
Biographical details
Profesor Hong is a Professor and a Future Fellow (2013-2016) at the School of Computer Science, University of Sydney. She was a Humboldt Fellow in 2013-2014, ARC Research Fellow in 2008-2012, and a project leader of VALACON (Visualisation and Analysis of Large and Complex Networks) project at NICTA (National ICT Australia) in 2004-2007. Her main research interests include Graph Drawing, Algorithms, Information Visualisation and Visual Analytics.
In 2006, she won the CORE (Computing Research and Education Association of Australasia) Chris Wallace Award for Outstanding Research Contribution in the field of Computer Science, for her research "Theory and Practice of Graph Drawing". The award was given for notable breakthroughs and a contribution of particular significance.
Prof. Hong has held research funding of 4.5 Million, from her 3 Fellowships (Future Fellowship, ARC Research Fellowship and Humboldt Fellowship), 3 ARC Discovery Projects and 2 ARC Linkage Projects including her latest project on "Algorithmics for Visual Analytics of Massive Complex Networks”. She has more than 140 publications including 10 edited books, 7 book chapters, 40 journal papers, and 90 conference papers, and she has given 10 invited talks at international conferences as well as 50 invited seminars worldwide. In particular, she has developed an open source visual analytic software GEOMI with her research team members.
Prof. Hong serves as a Steering Committee member of GD (International Symposium on Graph Drawing), IEEE PacificVis (International Symposium on Pacific Visualization) and ISAAC (International Symposium on Algorithms and Computations) and an editor of JGAA (Journal of Graph Algorithms and Applications). She has served as a Program Committee Chair of AWOCA 2004, APVIS 2005/2007, GD 2007, ISAAC 2008 and IEEE PacificVis 2013, and a Program Committee Member of 50 international conferences. In particular, she has formed the Information Visualisation research community in the Asia-Pacific Region, by founding IEEE PacificVis Symposium.
Research interests
Professor Hong is developing new, scalable algorithms to address information visualisation of massive complex networks, arising from big data.
"These algorithms will enable security analysts to detect fraud, biologists to understand protein-protein interaction networks and give engineers new ways of understanding large software systems."
Awards and honours
- 2012 - finalist in Eureka Prize for Innovation in Computer Science
- 2006 CORE Chris Wallace Award for Outstanding Research Contribution in the field of Computer Science (for my research contribution in Theory and Practice of Graph Drawing): The prize was awarded to an academic for post-PhD research undertaken within a university or research institution in Australia or New Zealand in the calendar years 2002-2004. The research should include a notable breakthrough or a contribution of particular significance.
- First place, 2006 Graph Drawing Competition (Theory Graph Competition)
- First place, 2006 Graph Drawing Competition (History of the World Cup Competition)
- First place, 2005 Graph Drawing Competition (Evolving Graph Drawing Competition)
- 2000 KOFST (The Korean Federation of Science & Technology Societies) Best Science & Technology Paper Award for the best journal paper of KISS (Korea Information Science Society).
In the media
Fellowships
- 2013: Humboldt Research Fellowship for Experienced Researchers
- 2008-2012: ARC (Australian Research Council) ARF (Australian Research Fellow) Fellowship.
- 1999-2000: KOSEF (Korea Science and Engineering Foundation) Postdoctoral Fellowship.
- 1998: Ewha University, Ewha Ph.D Overseas Research Scholarship, Supported by 1998.
PhD and master's project opportunities
- Drawing Algorithms for Almost Planar Graphs
- Algorithms for Drawing Non-Planar Graphs in Three Dimensions
- Scalable Visual Analytics
- MultiPlane Graph Embedding (2.5D Graph Embeddability)
- Visualization and Analysis of Large and Complex Biological Networks and Social Networks
- 2.5D Graph Navigation and Interaction Techniques
Selected grants
2019
- Algorithms for Faithful Visual Analytics of Complex Networks; Hong S; Australian Research Council (ARC)/Discovery Projects (DP).
2018
- Sublinear Algorithms for Visual Analytics of Extreme-scale Networks; Hong S, Ma K; Australian Research Council (ARC)/Discovery Projects (DP).
2017
- Visual Analytics for massive multivariate networks; Hong S, Eades P, Huang W, Cifuentes C, Chafi H; Australian Research Council (ARC)/Linkage Projects (LP).
2016
- Australia Japan emerging research leaders exchange program; Hong S; Australian Academy of Technology and Engineering (ATSE)/Australia Japan Emerging Leaders exchange Program.
- Extreme-Scale Computing for Big Data Analytics; Hong S, Lee Y; Department of Foreign Affairs and Trade (Federal)/Australia-Korea Foundation.
- 27th International Symposium on Algorithms and Computation 2016; Hong S, Eades P; NSW Department of Industry/Research Attraction and Acceleration Program Conference Sponsorship.
- Beyond Planarity: Algorithms for Visualisation of Sparse Non-Planar Graphs; Hong S, Eades P; Australian Research Council (ARC)/Discovery Projects (DP).
2015
- The Integrated Mental Health Atlas of Sydney Local Health District; Salvador-Carulla L, Glozier N, Eades P, Hong S, Gupta L, Morgan G, Bennett-Levy J, Astell-Burt T, Gillespie J, Fernandez Sanchez A; DVC Research/HMR+ Implementation Fund - University.
- Capturing the benefits of ICT in a digital economy - Korea Australia Emerging Researchers Exchange Program; Hong S; Australian Academy of Technology and Engineering (ATSE)/Korea Australia Emerging Researchers Exchange Program.
2013
- Algorithmics for Visual Analytics of Massive Complex Networks; Hong S; Australian Research Council (ARC)/Future Fellowships (FT).
2012
- Scalable Algorithms for Massive Complex Data Analysis; Hong S, Eades P, Fleischer R, Yen H, Tokuyama T, Park K; Office of Global Engagement/IPDF Grant.
2011
- Visual Interaction Methods for Clustered Graphs; Eades P, Takatsuka M, Hong S; Australian Research Council (ARC)/Linkage Projects (LP).
- LNK: 2011/Round1/ARC Linkage Project LP110100519 Visual Interaction Methods for Clustered Graphs; Hong S, Takatsuka M, Hirshorn J, Eades P; Tom Sawyer Software (USA)/Project Support.
2009
- Scalable Visual Analytics for Uncertain Dynamic Networks; Eades P, Hong S; Australian Research Council (ARC)/Discovery Projects (DP).
2008
- Algorithmics for Interactive 2.5D Graph Drawing; Hong S; Australian Research Council (ARC)/Discovery Projects (DP).
2005
- Topological approaches for three dimensional graph drawing; Eades P, Hong S; Australian Research Council (ARC)/Discovery Projects (DP).
2004
- New Methods for Interactive Visualization of Large Microarray Data Sets; Eades P, Hong S; Australian Research Council (ARC)/Linkage Projects (LP).
Selected publications
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