Dr. D. (Debraj) Roy
Faculty of Science
Informatics Institute
Visiting address
- Science Park 900
- Room number: L6.18
Postal address
- Postbus 94323
1090 GH Amsterdam
Contact details
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Publications
2023
- Bazyleva, V., Garibay, V. M., & Roy, D. (2023). Global Sensitivity Analysis Using Polynomial Chaos Expansion on the Grassmann Manifold. In International Conference on Computational Science (pp. 583-597)
- Blanco, A., Shi, Z., Roy, D., & Zhao, Z. (2023). Improving the Resiliency of Decentralized Crowdsourced Blockchain Oracles. In International Conference on Computational Science https://link.springer.com/chapter/10.1007/978-3-031-35995-8_1
- Dupont, C., & Roy, D. (2023). Manifold Analysis for High-Dimensional Socio-Environmental Surveys. In International Conference on Computational Science (pp. 25-39)
- Mutlu, A., Roy, D., & Filatova, T. (2023). Capitalized value of evolving flood risks discount and nature-based solution premiums on property prices. Ecological Economics, 205, [107682]. https://doi.org/10.1016/j.ecolecon.2022.107682
- Nottrot, B., Folmer, E., Roy, D., Scheer, B., & Merx, P. (2023). Multi-unit building address geocoding: An approach without indoor location reference data. Transactions in GIS, n/a(n/a). https://doi.org/10.1111/tgis.13017
2021
- Ghaffarian, S., Roy, D., Filatova, T., & Kerle, N. (2021). Agent-based modelling of post-disaster recovery with remote sensing data. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2021.102285
2020
- Roy, D., & Lees, M. (2020). Understanding resilience in slums using an agent-based model. Computers, Environment and Urban Systems, 80, [101458]. https://doi.org/10.1016/j.compenvurbsys.2019.101458 [details]
Roy, D., Bernal, D., & Lees, M. (2020). An exploratory factor analysis model for slum severity index in Mexico City. Urban Studies, 57(4), 789-805. https://doi.org/10.1177/0042098019869769 [details]- Taberna, A., Filatova, T., Roy, D., & Noll, B. (2020). Tracing resilience, social dynamics and behavioral change: a review of agent-based flood risk models. Socio-Environmental Systems Modelling, 2, [17938]. https://doi.org/10.18174/sesmo.2020a17938 [details]
2019
- Ranguelova, E., Weel, B., Roy, D., Kuffer, M., Pfeffer, K., & Lees, M. (2019). Image Based Classification of Slums, Built-Up and Non-Built-Up Areas in Kalyan and Bangalore, India. European Journal of Remote Sensing, 52(S1), 40-61. https://doi.org/10.1080/22797254.2018.1535838 [details]
- Vermeulen, W. R. J., Roy, D., & Quax, R. (2019). Modelling the Influence of Regional Identity on Human Migration. Urban Science, 3(3), [78]. https://doi.org/10.3390/urbansci3030078 [details]
- Wang, J., Kuffer, M., Roy, D., & Pfeffer, K. (2019). Deprivation pockets through the lens of convolutional neural networks. Remote Sensing of the Environment, 234, [111448]. https://doi.org/10.1016/j.rse.2019.111448 [details]
2018
- Roy, D., Lees, M. H., Pfeffer, K., & Sloot, P. M. A. (2018). Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru. Cities : The International Journal of Urban Policy and Planning, 74, 269-276. https://doi.org/10.1016/j.cities.2017.12.014 [details]
- Roy, D., Palavalli, B., Menon, N., King, R., Pfeffer, K., Lees, M., & Sloot, P. M. A. (2018). Survey-based socio-economic data from slums in Bangalore, India. Scientific Data, 5, [170200]. https://doi.org/10.1038/sdata.2017.200 [details]
2017
- Roy, D., Lees, M. H., Pfeffer, K., & Sloot, P. M. A. (2017). Modelling the impact of household life cycle on slums in Bangalore. Computers, Environment and Urban Systems, 64, 275-287. https://doi.org/10.1016/j.compenvurbsys.2017.03.008 [details]
2014
- Roy, D., Lees, M. H., Palavalli, B., Pfeffer, K., & Sloot, M. A. P. (2014). The emergence of slums: A contemporary view on simulation models. Environmental Modelling & Software, 59, 76-90. https://doi.org/10.1016/j.envsoft.2014.05.004 [details]
2018
- Roy, D. (2018). Data-driven modelling of slum dynamics in Bangalore using an integrated discrete-choice agent-based framework. 373-374. Abstract from Conference on Complex Systems 2018, Thessaloniki, Greece.
- Roy, D. (2018). Understanding slum emergence and migration using an agent-based model. 1-2. Abstract from 9th International Congress on Environmental Modelling and Software, Fort Collins, United States.
Others
- Vasconcelos, V. V. (organiser), Roy, D. (organiser), Krueger, E. (organiser), Pinheiro, F. L. (organiser), Stewart, A. J. (organiser), Garibay, V. (organiser), Teixeira, A. (organiser), Leng, Y. (organiser), Lees, M. (member of programme committee), Kawakatsu, M. (member of programme committee), Nespeca, V. (member of programme committee), Mittal, D. (member of programme committee), Dignum, E. (member of programme committee), Mengesha, I. (member of programme committee), Alpalhão, N. (member of programme committee), Candia, C. (member of programme committee) & Pilatti, G. (member of programme committee) (3-7-2023 - 5-7-2023). Computational Social Complexity Track at ICCS 2023, Prague. Thematic Track at the International Conference on Computational Social Science 2023 (organising a conference, workshop, ...). https://sites.google.com/view/cscx-track-2023/
2017
- King, R., Palavalli, B., Roy, D., Menon, N., Sloot, P. M. A., Pfeffer, K. & Lees, M. (2017). Socio-economic data from slums in Bangalore, India. UK Data Archive. https://doi.org/10.5255/ukda-sn-852705
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Ancillary activities
No ancillary activities
Roy, D., Bernal, D., & Lees, M. (2020). An exploratory factor analysis model for slum severity index in Mexico City. Urban Studies, 57(4), 789-805.