Biography
Prof. Anand Padmanabhan is a Research Associate Professor in the Department of Geography and Geographic Information Science at the University of Illinois at Urbana-Champaign (UIUC). He holds a Ph.D. degree in computer science from the University of Iowa and has research interests in advanced cyberinfrastructure, geographic information science and systems (GIS), cyberGIS, distributed and high-performance computing, and geospatial data science. At the CyberGIS Center for Advanced Digital and Spatial Studies at UIUC, he leads the spatial algorithms and systems team to develop and operate cyberGIS capabilities and services to harness advanced cyberinfrastructure for geospatial discovery and innovation. He has served as an investigator for several projects funded by the U.S. National Science Foundation and Environmental Protection Agency. He has published many peer-reviewed papers and is an author of a number of cyberGIS software tools.
Research Interests
- Advanced cyberinfrastructure and cyberGIS
- Geospatial data science and big data
- Geographic information systems and science (GIS)
- High performance, data-intensive and cloud computing
- Parallel and distributed systems
Education
- PhD, Computer Science, University of Iowa
- MS, Computer Science, University of Iowa
- BE, Computer Engineering, University of Mumbai, India
Courses Taught
- GGIS 407 - Foundations of CyberGIS and Geospatial Data Science
- GGIS 479 - Advanced GIS
- GGIS 480 - Principles of GIS
Additional Campus Affiliations
Research Associate Professor, Geography and Geographic Information Science
Recent Publications
Michels, A., Padmanabhan, A., Li, Z., & Wang, S. (Accepted/In press). EasyScienceGateway: A new framework for providing reproducible user environments on science gateways. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.7929
Baig, F., Michels, A., Xiao, Z., Han, S. Y., Padmanabhan, A., Li, Z., & Wang, S. (2022). CyberGIS-Cloud: A unified middleware framework for cloud-based geospatial research and education. In PEARC 2022 Conference Series - Practice and Experience in Advanced Research Computing 2022 - Revolutionary: Computing, Connections, You Article 46 (PEARC 2022 Conference Series - Practice and Experience in Advanced Research Computing 2022 - Revolutionary: Computing, Connections, You). Association for Computing Machinery. https://doi.org/10.1145/3491418.3535148
Marshall, A. M., Heemstra, J., Classen, J. J., Cortus, E., Koziel, J., Meyer, D., Padmanabhan, A., Reed, S. P., & Walters, R. (2022). Developing Cohort Challenges: An Innovative Program for Training Graduate Students to Work in Transdisciplinary Teams. ASEE Annual Conference and Exposition, Conference Proceedings.
Soltani, K., Padmanabhan, A., & Wang, S. (2022). GeoBalance: workload-aware partitioning of real-time spatiotemporal data. GeoInformatica, 26(1), 67-94. https://doi.org/10.1007/s10707-021-00444-z
Padmanabhan, A., Ziao, X., Vandewalle, R. C., Baig, F., Michel, A., Li, Z., & Wang, S. (2021). CyberGIS-compute for enabling computationally intensive geospatial research. In Y. Xie, & J. Yu (Eds.), Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science, SpatialAPI 2021 - In conjunction with the 29th International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2021 Article 3 (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science, SpatialAPI 2021 - In conjunction with the 29th International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2021). Association for Computing Machinery. https://doi.org/10.1145/3486189.3490017