Dr. Itai Dattner has been awarded the prestigious Ministry of Innovation, Science & Technology Research Grant! The winning research project, titled “Hybrid-AI Quantile Regression: Combining Nonparametric Statistical Methods and Physics-Informed Neural Networks for Analyzing Spatio-temporal Climate Data,” explores groundbreaking applications of AI in addressing one of the most pressing global challenges – climate change.

Welcome Daniel Polster to the SciML Lab Team! We are delighted to introduce our newest team member, Daniel Polster, who joins us as a Research Assistant. We look forward to achieving new milestones together and exploring the frontiers of AI research. We’re thrilled to have you on board, Daniel!

Dr. Itai Dattner have received a research grant from the Ministry of Ministry of Agriculture and Rural Development. His winning research project, titled: Innovative AI-Driven Approach for the Development of Postharvest Protocols Under Extreme Climatic Conditions, focuses on the development of postharvest protocols using physics-informed machine learning for assessing the quality of cucumbers, zucchini, champignon, and portobello mushrooms under extreme climatic conditions. By integrating advanced AI with physics-based insights, the project aims to accurately predict produce fitness through image analysis.