PhD thesis defense by Hana Shahbazi presenting a novel methodology and software tool that use EGMS InSAR data to build nationwide Building Differential Deformation Maps, identifying vulnerable buildings and highlighting areas that require priority risk‑mitigation actions.

PhD thesis defense by Muhammad Awais Jadoon on reinforcement learning‑based random access for massive machine‑type communication, aiming to reduce collisions and delays while improving fairness and efficiency in IoT connectivity for future 6G networks.

This seminar reviews recent advances in graph learning to model complex relationships in financial data, addressing challenges such as high dimensionality, non-Gaussian behavior and time variation. It is presented by Dr. Daniel Palomar, an expert in optimization and financial data analysis.