Tel: +30 210 7722842
Email:
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Assistant professor in flood protection hydraulic works / Expert in Hydroinformatics methods and statistical/stochastic tools
Dr Ioannis Tsoukalas (m) is an Assistant Professor in Flood protection hydraulic works at the Department of Civil Engineering of Democritus University of Thrace (DUTh).
He is also a Senior Researcher at National Technical University of Athens (NTUA), School of Civil Engineering and at the Institute of Communication and Computer Systems (ICCS) of the School of Electrical and Computer Engineering (ECE).
He holds a Ph.D. in Civil Engineering, NTUA (2014-2018), in the domain of non-Gaussian stochastic processes and optimization water-systems under uncertainty.
Also, he has obtained a Diploma in Civil Engineering from Aristotle University of Thessaloniki (AUTH), Greece (March 2010) and a M.Sc. in Water Resources Science and Technology from NTUA (March 2012).
Since January 2021 he also works as a research scientist at TETHYS consulting, while he is a research associate (since September 2012) at NTUA, working both at the School of Civil Engineering in the Department of Water Resources and Environmental Engineering, as well as at the Institute of Communication and Computer Systems (ICCS) of the School of Electrical and Computer Engineering (ECE) of the NTUA.
Furthermore, he holds a post-doctorate Scholarship funded by the State Scholarships Foundation (IKY). During his time in NTUA and TETHYS he has worked in more than 15 research programs, both European (e.g., extrAIM, EIFFEL, STOPIT; as a WP leader, iWidget, DESSIN, PEARL) and National (e.g., KLIMENESTOS, ALPINE, PROCRUSTES).
Dr. Tsoukalas research interests concern the development of hydroinformatics methods and statistical/stochastic tools for the management and optimization of systems under uncertainty with an emphasis on large-scale analysis of big datasets of weather variables. More specifically, his work is focused on the development of a) statistical/stochastic methods and models for the analysis, modelling, forecasting, and (multi- scale) simulation (and disaggregation) of stochastic processes (e.g., hydrometeorological, weather), and b) surrogate-based optimization algorithms, (inspired from the recent developments in machine learning) with a focus on multi-objective problems.
His ambition is contributing in, improving decision making under uncertainty, risk analysis, as well as uncertainty quantification.
In his research career so far, (November 2014 - December 2023), he has authored 60 publications, from which 29 peer-reviewed papers in international journals (incl., Water Resources Research, Journal of Hydrology and Environmental Modelling and Software) and 31 papers/posters/presentations in international conferences.
