Min Chen developed his academic career in Wales between 1984 and 2011. He previously held research and faculty positions at Swansea University (i.e., research officer from 1987, lecturer from 1990, senior lecturer from 1998, and full professor from 2001). He is currently professor of scientific visualization at Oxford University and a fellow of Pembroke College.
His research interests include data visualization, data science, computer graphics, computer vision, and human-computer interaction. He has co-authored over 200 publications, including his recent contributions in areas such as theory of visualization, video visualization, visual analytics, VIS4ML, and perception and cognition in visualization. He has worked on a broad spectrum of interdisciplinary research topics, ranging from the sciences to sports, and from digital humanities to cybersecurity.
His services to the research community include papers co-chair of IEEE Visualization 2007 and 2008, Eurographics 2011, IEEE VAST 2014 and 2015; co-chair of Volume Graphics 1999 and 2006, EuroVis 2014; associate editor-in-chief of IEEE Transactions on Visualization and Computer Graphics; editor-in-chief of Computer Graphics Forum; and co-director of Wales Research Institute of Visual Computing. He is a fellow of the British Computer Society, European Computer Graphics Association, and Learned Society of Wales.
Min Chen's primary research interest is data science in general and data visualization in particular, and he considers Data Science as the scientific discipline that studies human and machine processes for transforming data to decisions and/or knowledge. Its main goal is to understand the inner workings of different data intelligence processes, such as statistical inference, algorithmic reasoning, human thinking, and collaborative decision making, and to provide a scientific foundation to underpin the design, engineering, and optimization of data intelligence workflows composed of human and machine processes.
Theoretical Data Science is a major branch of Data Science that focuses on the mathematical theories that underpin all aspects of data science and enable abstract modelling of data intelligence workflows.
Applied Data Science is a major branch of Data Science that focuses on the technologies (e.g., data mining, data visualization, machine learning, etc.) for supporting the design, engineering and optimization of data intelligence processes and workflows.
Min Chen has made technical contributions to the following research topics:
Here is a small selection of Min Chen's publications.
M. Chen and D. S. Ebert. An ontological framework for supporting the design and evaluation of visual analytics systems. Computer Graphics Forum, 38(3):131-144, 2019. doi: 10.1111/cgf.13677
D. Sacha, M. Kraus, D. A. Keim, and M. Chen. VIS4ML: An ontology for visual analytics assisted machine learning. IEEE Transactions on Visualization and Computer Graphics, 25(1):385-395, 2019. doi: 10.1109/TVCG.2018.2864838
G. K. L. Tam, V. Kothari, and M. Chen. An analysis of machine- and human-analytics in classification. IEEE Transactions on Visualization and Computer Graphics, 23(1):71-80, 2017. doi: 10.1109/TVCG.2016.2598829 (IEEE VAST 2016 Best Paper Award)
M. Chen and A. Golan, What May Visualization Processes Optimize? IEEE Transactions on Visualization and Computer Graphics, 22(12):2619-2632, 2016. doi: 10.1109/TVCG.2015.2513410
M. Chen, M. Feixas, I. Viola, A. Bardera, H.-W. Shen, M. Sbert. Information Theory Tools for Visualization. A K Peters/CRC Press, 2016. ISBN: 9781498740937
N. Kijmongkolchai, A. Abdul-Rahman, and M. Chen. Empirically measuring soft knowledge in visualization. Computer Graphics Forum, 36(3):73-85, 2017. doi: 10.1109/MCG.2017.3271463
B. Duffy, J. Thiyagalingam, S. Walton, D. J. Smith, .A. Trefethen, J. C. Kirkman-Brown, E. A. Gaffney and. M. Chen, Glyph-based video visualization for semen analysis, IEEE Transactions on Visualization and Computer Graphics, 21(8):980-993, 2015. doi: 10.1109/TVCG.2013.265
R. P. Botchen, S. Bachthaler, F. Schick, M. Chen, G. Mori, D. Weiskopf and T. Ertl, Action-based multi-field video visualization, IEEE Transactions on Visualization and Computer Graphics, 14(4):885-899, 2008. doi: 10.1109/TVCG.2008.40, Patent: Europe EP2112619, US 20090278937 A1, 2009.
C. Correa, D. Silver and M. Chen, Feature aligned volume manipulation for illustration and visualization, IEEE Transactions on Visualization and Computer Graphics, 12(5):1069-1076, 2006. doi: 10.1109/TVCG.2006.144
M. Chen and J. V. Tucker, Constructive volume geometry, Computer Graphics Forum, 19(4):281-293, 2000. doi: 10.1111/1467-8659.00464
Between 1992 and 2016, under Min Chen’s supervision or co-supervision, some 25 students have obtained their PhD or DPhil degrees, and three obtained their MPhil degrees. The research topics, on which Min Chen is currently supervising or will supervise DPhil projects, include:
If you are interested in studying DPhil on any of the above topics, please feel free to contact me directly to decide a topic that you will enter into your application.