Stefano Galelli

Engineering Systems and Design (ESD)

Stefano Galelli

esd-faculty-stefano
Title:

Assistant Professor

Tel: +65 6499 4786
Email:
Website: http://people.sutd.edu.sg/~stefano_galelli

Pillar / Cluster: Engineering Systems and Design 8 Somapah Road Building 1 Level 7 Singapore 487372

Biography

Dr. Stefano Galelli graduated in Environmental and Land Planning Engineering at Politecnico di Milano in 2007 and received a Ph.D. in Information and Communication Technology from the same university in early 2011. Before joining SUTD as Assistant Professor, Dr. Galelli spent two years as Post-Doctoral Research Fellow at the Singapore-Delft Water Alliance (National University of Singapore), where he led the Hydro-informatics research group. Dr. Galelli serves various research communities—AGU, EGU, ASCE and iEMSs—as convener, reviewer and editor. He sits on the editorial board of Environmental Modelling & Software and Journal of Water Resources Planning and Management. Dr. Galelli received the Environmental Modelling & Software 2011 Outstanding Reviewer Award and an Early Career Research Excellence Award (2014) by the international Environmental Modelling & Software society. He is also recipient of the 2015 Outstanding Reviewer Award for the American Society of Civil Engineers. At SUTD, Dr. Galelli leads the Resilient Water Systems Group. He maintains active collaborations with various institutes, including MIT, Politecnico di Milano, Technion, NUS and SMU.

Professional Experience

  • Assistant Professor, Pillar of Engineering Systems and Design, Singapore University of Technology and Design (SUTD), June 2013 – Till date.
  • Head of Data Assimilation and Hydroinformatics Cluster, Singapore-Delft Water Alliance, National University of Singapore, March 2012 – May 2013.
  • Post-Doctoral Research Fellow, Singapore-Delft Water Alliance, National University of Singapore, February 2011 – February 2012.
  • Doctoral Research Fellow, Department of Electronics and Information, Politecnico di Milano, January 2008 – December 2010.

Education

  • PhD in Information and Communication Technology, Politecnico di Milano, Milan (Italy), 2011
  • M.Sc. in Environmental and Land Planning Engineering, Politecnico di Milano, Milan (Italy), 2007
  • B.Sc. in Environmental and Land Planning Engineering, Politecnico di Milano, Milan (Italy), 2004

Research Grants

  • Principal Investigator, “Engineered tools to control soil erosion in large watersheds”, SUTD-ZJU Research Collaboration Grant, April 2016 – March 2019.
  • Co-Principal Investigator, “Advancing Security of Public Infrastructures using Resilience and Economics (ASPIRE)”, National Research Foundation, January 2015 – December 2018.
  • Principal Investigator, “Climate-resilient design: using global teleconnection patterns to improve the design of water resources systems”, SUTD-MIT International Design Centre, August 2014 – September 2016.
  • Principal Investigator, “Modelling and control of large-scale water resources systems”, SUTD Start-up Research Grant, June 2013 – October 2016.

(Recent) Selected Publications

  • Taormina, R., Galelli, S., Karakaya, G., Ahipasaoglu, S.D. (2016) An information theoretic approach to select alternate subsets of predictors for data-driven hydrological models. Journal of Hydrology, doi: 10.1016/j.jhydrol.2016.07.045.
  • Turner, S.W.D., Galelli, S. (2016) Regime-shifting streamflow processes: Implications for water supply reservoir operations. Water Resources Research, 52, 3984-4002.
  • Schmitter, P., Goedbloed, A., Galelli, S., Babovic, V. (2016) Effect of catchment-scale green roof deployment on stormwater generation and reuse in a tropical city. Journal of Water Resources Planning and Management, 142(7).
  • Turner, S.W.D., Galelli, S. (2016) Water supply sensitivity to climate change: an R package for implementing reservoir storage analysis in global and regional impact studies. Environmental Modelling & Software, 76, 13-19.
  • Karakaya, G., Galelli, S., Ahipa ̧sao ̆glu, S.D., Taormina, R. (2016) Identifying (quasi) equally informative subsets in feature selection problems for classification: a max-relevance min- redundancy approach. Cybernetics, IEEE Transactions on, 46(6), 1424-1437
  • Galelli, S., Castelletti, A., Goedbloed, A. (2015) High-Performance Integrated Control of water quantity and quality in urban water reservoirs. Water Resources Research, 51, 9053-9072.
  • Karakaya, G., Galelli, S., Ahipasaoglu, S.D., Taormina, R. (2015) Identifying (quasi) equally informative subsets in feature selection problems for classication: a max-relevance min-redundancy approach. Cybernetics, IEEE Transactions on, doi: 10.1109/TCYB.2015.2444435.
  • Galelli, S., Humphrey, G.B., Maier, H.R., Castelletti, A., Dandy, G.C., Gibbs, M.S. (2014) An evaluation framework for input variable selection algorithms for environmental data-driven models. Environmental Modelling & Software, 62, 33-51.
  • Giuliani, M., Galelli, S., Soncini-Sessa, R. (2014) A dimensionality reduction approach for Many-Objective Markov Decision Processes: application to a water reservoir operation problem. Environmental Modelling & Software, 57, 101-114.
  • Galelli, S., Goedbloed, A., Schwanenberg, D., van Overloop, P.J. (2014) Optimal real-time operation of multi-purpose urban reservoirs: a case study in Singapore. Journal of Water Resources Planning and Management, 140(4), 511-523.
  • Galelli, S., Castelletti, A. (2013) Tree-based Iterative Input variable Selection for hydrological modelling. Water Resources Research, 49(7), 4295-4310.
  • Galelli, S., Castelletti, A. (2013) Assessing the predictive capability of randomized tree-based ensembles in streamflow modelling. Hydrology and Earth System Sciences, 17, 2669-2684.
  • Fornarelli, R., Galelli, S., Antenucci, J.P., Castelletti, A., Marti, C. (2013) An empirical modeling approach to predict and understand phytoplankton dynamics in a reservoir affected by inter-basin water transfers. Water Resources Research, 49(6), 3626-3641.

Contact

Office: Building 1, Level 7 (ESD Faculty Space), Room 18

Research Interests


  • Optimal operation of water reservoir networks

  • Model reduction (emulation) of complex environmental models

  • Feature selection/reduction of large environmental datasets

  • Data-driven modelling

  • Water Resources Management

  • Decision Support Systems

  • Physical and Cyber security of water distribution systems

Research Opportunities

The following positions are now available:

Further Postdoctoral positions are available through the SUTD-MIT Postdoctoral Programme