C3: Modelling and AI
Tracks
Stockholm
| Wednesday, September 24, 2025 |
| 8:30 AM - 10:00 AM |
| Stockholm |
Speaker
Hilde Johansen
Development Engineer
Veas Selvkost As
Improving wastewater management by Artificial Intelligence
Helen Galfi
IVL Swedish Environmental Research Institute
Turbinator, a non-contact sensor advancing sewer surveillance through real-time monitoring, AI, and predictive maintenance
Fabio Polesel
Dhi A/s
Operationalizing data-driven influent quantity and quality forecasting in digital twin applications
Sina Masoumzadeh Sayar
Aalto University
From Local to Global: Cross-National Transferability of Machine Learning Models in Wastewater Network Condition Prediction
Phd Maryam Beheshti
Asplan Viak
Integrating Temperature Sensor Data and Machine Learning for Efficient Detection and Quantification of Inflow and Infiltration in Sewer Networks
Kristian Sahlstedt
Helsinki Region Environmental Services Hsy
Data driven methods in an advanced wastewater treatment plant
Mr Ola Haug
Senior Research Scientist
Norwegian Computing Center
Environmental Risk Analysis of Nordre Follo Municipality's Sewage System Using Multivariate Statistical Analysis
Mr Jens Højberg
Asent
AI-Powered Sewer Inspections: Utilizing Drones to See the Unseen
Head Of Digital Innovation Rune Christensen
Krüger A/S
Gen AI and GPT – #HaveYouTalkedToYourPlant?
