MIT-Harvard CINCS / Hamilton Institute Seminar

    Wednesday, November 25, 2020 - 16:00 to 17:00
    Zoom

    https://mit.zoom.us/j/99958958761?pwd=VUd6c09JRGdSRHkwZWpWUUl3eHlpdz09
    Passcode: 817117

    MIT-Harvard CINCS (Communications Information Networks Circuits and Signals) / Hamilton Institute Seminar

    Speaker: Professor Rozenn Dahyot, Trinity College Dublin

    Title: "AI Design, deployment & applications for Digital Twins & Sustainability"

    Abstract: Data driven software engineering using deep learning has been a very active area of research for the past decade or so.

    This talk will present recent works done in my team for using convolutional neural networks (CNNs) as part of
    intelligent systems for addressing climate change events (e.g. floods), sustainability (e.g. harvesting solar energy efficiently) and infrastructure deployment & management (e.g. telecom).
    In addition to CNNs, these pipelines also include graphs capturing  explicit (explainable) prior rules for information fusion and decision, and current efforts aim at improving CNNs computational efficiency, their collaboration with graph structures as well as exploring alternative design with robust and learnable activation functions.
     
    Papers :
    IM2ELEVATION: Building height estimation from single-view aerial imagery
    Remote Sensing (2020) DOI:10.3390/rs12172719
     
    Automatic detection of passable roads after floods in remote sensed and social media data
    Signal Processing: Image Communication (2019) DOI:10.1016/j.image.2019.02.002
     
    Bonseyes AI Pipeline - bringing AI to you. End-to-end integration of data, algorithms and deployment tools
    ACM Transactions on Internet of Things (2020)  DOI:10.1145/3403572  
     
    Automatic Discovery and Geotagging of Objects from Street View Imagery
    Remote Sensing (2018) DOI:10.3390/rs10050661
     
    Harmonic Convolutional Networks based on Discrete Cosine Transform
    (2020) ArXiv:2001.06570
     
    Semantic image segmentation based on spatial relationships and inexact graph matching
    International Conference on Image Processing Theory, Tools and Applications (IPTA 2020),
     
    L2 Divergence for Robust Colour Transfer
    Computer Vision and Image Understanding (2019)
    DOI:10.1016/j.cviu.2019.02.002