Zoomposium 17: 19 March 2021
Watch Zoomposium 17 (passcode : 5J4k!=a&)
Dr Hyesop Shin, School of Geographical & Earth Sciences
‘Each and every one of us have different mobility patterns: the application of microscopic simulations in urban studies’
I am a quantitative geographer interested in themes including environmental hazards, urban air quality, individual mobility patterns, which are likely to be real-world problems. To tackle these issues, I apply methods including GIScience and agent-based modelling (ABM). Prior to joining Glasgow, I completed my PhD at the University of Cambridge looking at how individual’s exposure to air pollution can differ by commuting routes and socioeconomic background using ABM. At Glasgow, my current project unravels the benefits of using crowdsourcing as to help improve our understanding of locational services for the under-represented groups. One example is to highlight toilets, childcare service, domestic violence shelters for women, and wheelchair service points for the physically disabled.
Taking advantage of my broad and interdisciplinary research interest, I welcome all the collaboration opportunities to anyone who has expertise in the following themes:
- Scalable agent-based modelling to simulate pedestrian/vehicle mobility patterns
- Understanding health inequalities of air pollution from a data-driven perspective
- Developing an R package for Glasgow: A focus on People, Transport, and Pollution
- Developing a crowdsourcing app to fill amenities for the physically vulnerable
In terms of funding and grants, I am targeting a few early-career fellowships from EPSRC, Urban Studies Foundation, and Leverhulme trust, to sustain my research, but I am also happy to apply for short-term and long-term grants.
Dr Jonathan Grizou, School of Computing Science
‘Tools for creativity: Can we design tools that assist humans in their creative process?’
I started as Lecturer in the School of Computing Science in January 2021. My background is in Artificial Intelligence and I am interested in leveraging machine learning methods to assist people in their creative process.
Previously, I was a research assistant and team leader in a chemistry lab. My team and I focused on developing smart laboratory automation that can help scientists making novel observations. I will present this work, future plans and route for collaborations.
In the short term, I plan to apply to the New Investigator Award and am keen to connect with another early career researcher to support each other.
Prof Felicity Callard, School of Geographical & Earth Sciences
First published: 17 March 2021