| Time: | July 3, 2023, 2:00 p.m. – 3:30 p.m. |
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| Download as iCal: |
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We are very honoured to welcome Jian Chen, tenured Associate Professor in the Department of Computer Science and Engineering at The Ohio State University, to our upcoming Constructive Conversations event on Monday, 3 July 2023 from 2:00-3:30 p.m.
Jian Chen will give a lecture on Interactive Visual Computing for Knowledge Discovery in Science, Engineering and Biology.
The event will take place both in person and digitally.
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Title: |
Interactive Visual Computing for Knowledge Discovery in Science, Engineering and Biology |
| Speaker: |
Jian Chen |
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Date: |
3 July 2023 | 2:00-3:30 p.m. |
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Location: |
Seminar room 00.012, VISUS building, Allmandring 19, University of Stuttgart |
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Webex-Link: |
This lecture is part of the AdvanceAEC partner seminar series. Please register or log in to access the event credentials. |
Lecture Abstract
Imagine computer displays become a space to augment human thinking. Essential human activities such as seeing, gesturing, and exploring can couple with powerful computational solutions using natural interfaces and accurate visualizations. In this talk, I will present my team's research efforts to quantify visualisation techniques of all kinds. Our ongoing work includes research in
- perceptually accurate visualization – borrowing concepts from vision science to study how to depict spatially complex quantum-physics simulations and brain-imaging datasets, and how visualisation encoding choices alter viewer's behaviours;
- using space metaphors to develop new computational and interactive capabilities for immersive modelling and bat-flight motion analysis; and extending exploratory metaphors to biological pathways to enable integrated analysis of multifaceted datasets;
- automatic indexing and querying of visualisation techniques via document-domain analysis.
In my talk, I will refer to an number of other projects that my team is currently working on. I will conclude with some thoughts on the use of human visual intelligence to instruct artificial intelligence, and venture that a science of visualisation now has the potential to be developed in full, and that its success will be crucial in understanding data-to-knowledge techniques related to use-inspired Translational Data Analytics.
Jian Chen
Jian Chen is a tenured Associate Professor in the Department of Computer Science and Engineering at The Ohio State University, where she leads the Interactive Visual Computing Lab. She maintains general research interests in the design and evaluation of visualisations (encoding of spatially complex brain imaging, integrating spatial and non-spatial data, and perceptually accurate visualisation) and interaction (exploring large biological pathways, immersive modeling). Her work is funded by NSF, NIST and DoD. She is also a former university innovation fellow and a co-chair of the first international workshop on the emerging field of Immersive Analytics at IEEE VR. Outside of computer science venues, Chen publishes work in applying visualisations to brain science. Outside of research and teaching, she enjoys serving as an area paper chair for IEEE VIS 2021, 2022, a voting member of IEEE Visualization academy, IEEE VR steering committee and IEEE VGTC vice chair for conferences to help grow our community.
AdvanceAEC – Join this and further AdvanceAEC Partner Seminars and receive an AdvanceAEC certificate!
This lecture is part of the AdvanceAEC Partner Seminar series. There will be eight Partner Seminars in 2023. Partner Seminars focus on cross-sectional and interdisciplinary topics and are open to all network partners. If you attend at least six of the eight seminars, you will receive a certificate of time attendance. You will need to register for this at the beginning of each event. The procedure for this will be briefly explained before each seminar.
The access data for this event is available to AdvanceAEC members. All researchers working in the field of AdvanceAEC are welcome to join the network. Please register or log in to access the event credentials.
