{"id":14231,"date":"2025-01-20T11:39:30","date_gmt":"2025-01-20T10:39:30","guid":{"rendered":"https:\/\/www.uni.lu\/snt-en\/?post_type=research-projects&p=14231"},"modified":"2025-07-29T15:29:29","modified_gmt":"2025-07-29T13:29:29","slug":"finsat","status":"publish","type":"research-projects","link":"https:\/\/www.uni.lu\/snt-en\/research-projects\/finsat\/","title":{"rendered":"Automated Investment Advice using Artificial Intelligence on Satellite Data (FinSat)"},"content":{"rendered":"\n
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\nAutomated Investment Advice using Artificial Intelligence on Satellite Data (FinSat)<\/h1>\n<\/div>\n<\/header>\n
\n \n\"FinSat <\/figure>\n
\n
\n

The PayPal-FNR PEARL Chair drives innovation in digital finance, advancing Luxembourg’s leadership in cutting-edge financial services.<\/p>\n\n\n

    \n\n<\/ul>\n<\/div>\n<\/div>\n <\/div>\n<\/section><\/div><\/section>\n\n\n\n
    \n

    \n
    The project at a glance<\/h2>\n\n\n
    \n
      \n
    • \n \n
      \n
      \n <\/use><\/svg><\/div>\n\n\n

      Start date:
      01 Aug 2023<\/strong><\/p>\n<\/div>\n<\/li>\n

    • \n \n
      \n
      \n <\/use><\/svg><\/div>\n\n\n

      Duration in months:
      24<\/strong><\/p>\n<\/div>\n<\/li>\n

    • \n \n
      \n
      \n <\/use><\/svg><\/div>\n\n\n

      Funding:
      Fonds National de la Recherche (FNR)<\/strong><\/p>\n<\/div>\n<\/li>\n

    • \n \n
      \n
      \n <\/use><\/svg><\/div>\n\n\n

      Principal Investigator(s)::
      Symeon Chatzinotas<\/strong>
      Michael Halling


      <\/strong><\/p>\n<\/div>\n<\/li>\n <\/ul>\n<\/div>\n\n\n\n

      \nAbout<\/h2>\n\n\n\n

      The FinSAT project explores the use of artificial intelligence (AI) and satellite data to develop automated investment strategies that provide real-time financial insights. With the growing volume of data from satellite sources, traditional methods of processing and analysing this data have become inefficient. This project aims to leverage AI\u2019s ability to process large datasets, including satellite imagery, maritime, and aeronautical data, to offer insights into economic activities and market movements. By integrating these datasets with socioeconomic indicators, the project seeks to create predictive models that enhance investment decision-making. Key objectives include developing deep learning algorithms to analyse satellite-derived datasets, constructing models that predict market behaviour, and designing AI-driven financial solutions that optimise investment portfolios. The expected outcomes of the project include the creation of AI-based tools that can automate the investment process, reduce reliance on human advisors, and offer cost-effective, personalised financial advice.
      <\/p>\n\n\n\n

      \nOrganisation and Partners<\/h2>\n\n\n\n

      Faculty of Law, Economics and Finance (FDEF)
      Interdisciplinary Centre for Security, Reliability and Trust (SnT)
      National Centre of Excellence in Research (NCER) in Financial Technologies<\/strong><\/p>\n\n\n

      <\/div>\n\n
      \n \n

      \nProject team<\/h2>\n
        \n
      • \n
        \n
        \n
        \n \n\"Prof\n <\/figure>\n <\/div>\n
        \n

        Prof Symeon CHATZINOTAS<\/h3>\n

        Full professor<\/p>\n

        \n \n \n Learn more<\/span>\n <\/span>\n <\/use><\/svg> <\/a>\n<\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div><\/li>
      • \n
        \n
        \n
        \n \n\"Prof\n <\/figure>\n <\/div>\n
        \n

        Prof Michael HALLING<\/h3>\n

        Full Professor for the Chair in Sustainable Finance<\/p>\n

        \n \n \n Learn more<\/span>\n <\/span>\n <\/use><\/svg> <\/a>\n<\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div><\/li>
      • \n
        \n
        \n
        \n \n\"Assist.\n <\/figure>\n <\/div>\n
        \n

        Assist. Prof Eva LAGUNAS<\/h3>\n

        Assistant professor in Design and Optimisation of Non-Terrestrial Communication Systems<\/p>\n

        \n \n \n Learn more<\/span>\n <\/span>\n <\/use><\/svg> <\/a>\n<\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div><\/li>
      • \n
        \n
        \n
        \n \n\"Dr.\n <\/figure>\n <\/div>\n
        \n

        Dr. Madyan Abdullah Othman AL-SENWI<\/h3>\n

        Research scientist<\/p>\n

        \n \n \n Learn more<\/span>\n <\/span>\n <\/use><\/svg> <\/a>\n<\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div><\/li>
      • \n
        \n
        \n
        \n \n\"Khushboo\n <\/figure>\n <\/div>\n
        \n

        Khushboo GEHI<\/h3>\n

        Doctoral researcher<\/p>\n

        \n \n \n Learn more<\/span>\n <\/span>\n <\/use><\/svg> <\/a>\n<\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div><\/li><\/ul>\n\n<\/div>\n\n\n\n\n

        \nKeywords<\/h2>\n\n\n\n

        Artificial Intelligence<\/strong>
        Satellite Data<\/strong>
        Investment Strategies<\/strong>
        Automated Financial Solutions<\/strong>
        Predictive Modeling<\/strong>
        Deep Learning<\/strong><\/p>\n<\/div><\/section>\n","protected":false},"excerpt":{"rendered":"

        The FinSAT project explores AI-driven investment solutions that use satellite data to generate real-time, automated financial insights for informed decision-making.<\/p>\n","protected":false},"author":326,"featured_media":0,"parent":0,"menu_order":0,"template":"","meta":{"featured_image_focal_point":{"x":0.54,"y":0.49},"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"FinSat","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"rpp_rp_identifier":"13206","rpp_taxonomies_in_sync":true},"research-project-status":[],"research-project-type":[263],"field-of-interest":[281,288],"organisation":[186,101,184,354],"authorship":[326],"acf":[],"yoast_head":"\nfinsat satellite data fusion for financial market analysis - 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