Gal Perelman
Gal Perelman
Embedded Files
I’m a P.hD. candidate @ Technion, Israel Institute of Technology, supervised by Prof. Avi Ostfeld
My research focus is the optimization of water distribution networks.
Specifically, optimal operation under uncertainty conditions.
I’m passionate about mathematical programming, optimization algorithms,
Machine learning, data analytics, and their implementation for water, energy, and environmental applications.
Contact me:
gal-p@technion.ac.il
peligur@gmail.com
News
News
May 26, 2026
Our team won the Battle of the Water Futures
The BWF [1] is an optimization competition where the objective is to design a master plan for the Netherlands water distribution system over a long-term horizon under deep uncertainty, with interventions applied in stages. The challenge aims to optimize competing objectives such as supply reliability, economic sustainability, water affordability, and greenhouse gas emissions, all under partially observable uncertainties and even "unknown unknowns" introduced throughout the challenge.
Given the deep uncertainties, the problem dimensions, and the nonlinear dynamics, our solution focused on developing a tractable decision-making workflow based on a sequence of LP and MILP models. By keeping the runtime short, we were able to evaluate many configurations and stress-test the solutions across a range of scenarios to improve robustness.
More than anything, I feel extremely grateful for the opportunity to collaborate on this project with such a great team of brilliant people.
Despite the intensity and pressure, we maintained a great atmosphere and laughed quite a lot during our meetings. It was a real pleasure working with all of you. I enjoyed our discussions and learned a lot from the different perspectives everyone brought to the project. Huge congratulations to the team, and thank you all for the hard work.
Jonathan Sattler, Carlos Jara Arriagada, Bradley Jenks, Will Chapman, Hippolyte Chesnier, and Joy Ulusoy
[1] Zanutto, D. et al. "The Battle of the Water Futures." arXiv preprint arXiv:2511.22986 (2025).
January 1, 2026
Our paper "Integrated optimal operation of power and water systems under uncertainty: An adjustable robust optimization approach", was accepted for publication in Water Research.
October 26, 2025
I successfully defended my Ph.D. today!
June 19, 2025
I received the Outstanding Teaching Assistant award for my teaching at the Water Resources Engineering course.
May 30, 2025
I was awarded Outstanding Reviewer of the Journal of Water Resources Planning and Management for my reviews during 2024
May 21, 2025
Presented two of our studies at the EWRI 2025 conference:
"Data enabled predictive control for water distribution systems optimization"
"Adjustable Robust Optimization for Integrated Power and Water Systems under Uncertainty"
Also, Yinon Goldshtein presented our work on leveraging LLMs for water distribution systems simulation:
"Large Language Models for Water Distribution Systems Modeling and Decision-Making"
March 19, 2025
Our paper: "Data enabled predictive control for water distribution systems optimization", was accepted for publication in Water Resources Research.
February 3, 2025
Our paper "Coordinated Operational Optimization of Water and Power Systems under Emergency Conditions" was accepted for publication in Sustainable Energy, Grids and Networks. Check it out here:
January 2, 2025
Our paper "Greedy Budget Allocation for Optimizing the Performance of Water Distribution Systems Under Intermittent Supply Conditions" was accepted for publication in JWRPM.
This paper describes our solution for the BIWS competition, ranked 4th place.
December 29, 2024
The 6th Graduate Students Water Research Conference was held at the Technion.
I was co-chair of the conference organizing committee together with Neta Frank
July 1, 2024
Presented 3 studies at the WDSA-CCWI 2024 Conference
Perelman G., Shmaya T., Vrachimis S., Panteli M., Eliades D. G. and Ostfeld A. (2024). Cooperative Operational Optimization of Water and Power Systems Under Extreme Conditions.
https://www.mdpi.com/2673-4591/69/1/14
Perelman G., Romano Y. and Ostfeld A. (2024). Optimizing Time Series Models for Water Demand Forecasting.
https://www.mdpi.com/2673-4591/69/1/9
Perelman G. and Ostfeld A. (2024). Data-Enabled Predictive Control for Water Distribution Systems Optimal Operation.
November 28, 2024
Our paper "Synthetic random environmental time series generation with similarity control, preserving original signal’s statistical characteristics" was accepted for publication in Environmental Modelling & Software.
Page updated
Google Sites
Report abuse