Summary
Krisztian Balla is a Senior Control Specialist with 11 years of experience applying control theory, machine learning, and optimization to real-world water and energy systems, currently developing cloud-based decision-support and control solutions at Grundfos. He holds an Industrial PhD in Control & Automation and has led hardware-in-the-loop pilots, small-scale testbeds, and customer proofs-of-concept that bridge high-fidelity hydraulic models (EPA-SWMM, MIKE Urban) with deployable algorithms. Krisztian combines hands-on software engineering for CI/CD of cloud control deployments with deep domain knowledge in closed-loop identification and stochastic optimal control, enabling autonomous water networks. He has a track record of embedding engineering structure into data-driven controllers and operational forecasting systems for utilities, and has collaborated internationally as a visiting researcher in Barcelona. Notably, he translates academic research into production-ready pilots, making sophisticated control methods practical for utility customers.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Mechatronics, Robotics and Automation Engineering, Bachelor's degree, Mechatronics, Robotics and Automation Engineering at Budapest University of Technology and Economics
UPC Universitat Politècnica de Catalunya
High School Diploma, High School Diploma at ELTE Radnoti Miklos High School
Industrial PhD, Control & Automation engineering, Industrial PhD, Control & Automation engineering at Aalborg Universitet
English, Danish, Hungarian