On November 3rd, 2017, Srdjan Lucic, from PANONIT, gave a seminar to the Advanced Image & Video Processing class and other academics and researchers at Strathclyde. Srdjan first gave a brief tutorial on deep learning and its application to Computer Vision. Then, he spoke about the work he conducted at Strathclyde as part of SENSIBLE, including novel energy disaggregation methods using convolutional neural networks (CNN). Srdjan presented the results obtained with the proposed CNN-based method that are comparable with the state of the art for the energy dissagregation application, that use more complex deep learning architectures. After the presentation, Srdjan answered numerous questions from staff and students.