The PhD students presented the latest advances in integrating deep learning and large-scale language models to tackle societal and environmental challenges.

Among the papers presented were:

• 𝗠𝗲𝗱𝗶𝗰𝗮𝗹𝗹𝗩𝗶𝘀𝘂𝗮𝗹𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: 𝗔𝗻𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗳𝗼𝗿𝗿𝗔𝗻𝗮𝗹𝘆𝘇𝗶𝗻𝗴𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗻𝗶𝗰𝗛𝗲𝗮𝗹𝘁𝗵𝗥𝗲𝗰𝗼𝗿𝗿𝗱𝘀 - written by Cristian A. Secco, Lennart B. Sina and Kawa Nazemi, and presented by Cristian A. Secco
• 𝗤𝘂𝗲𝗿𝘆-𝘁𝗼-𝗩𝗶𝘀: 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝗼𝗳𝗮𝗕𝗿𝗼𝗮𝗱-𝗰𝗼𝘃𝗲𝗿𝗮𝗴𝗲𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗲𝗱𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗻𝗲 - written by Uliana Eliseeva, Simon Heiß, and Kawa Nazemi, and presented by Uliana Eliseeva
• 𝗩𝗶𝘀𝘂𝗮𝗹𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀𝗳𝗼𝗿𝗿𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲𝗠𝗮𝗰𝗵𝗶𝗻𝗲𝗟𝗲𝗮𝗿𝗿𝗻𝗶𝗻𝗴: 𝗔𝗠𝗼𝗱𝗱𝘂𝗹𝗮𝗿𝗿𝗠𝘂𝗹𝘁𝗶-𝗩𝗶𝗲𝘄𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 - written by Elena Correll, Uliana Eliseeva and Kawa Nazemi, and presented by Elena Correll
• 𝗩𝗶𝘀𝘂𝗮𝗹𝗹𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: 𝗖𝗹𝗶𝗺𝗮𝘁𝗲𝗖𝗵𝗮𝗻𝗴𝗲𝗶𝗻𝗦𝗼𝗰𝗶𝗮𝗹𝗠𝗲𝗱𝗱𝗶𝗮 - written by Vanessa Kokoschka, Cristian A. Secco and Kawa Nazemi, and virtually presented by Vanessa Kokoschka
• 𝗩𝗶𝘀𝘂𝗮𝗹𝗹𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀𝗳𝗼𝗿𝗿𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝗠𝗮𝗸𝗶𝗻𝗴 - written by Kawa Nazemi, Cristian A. Secco, Lennart B. Sina, Uliana Eliseeva, Elena Correll and Midhad Blazevic, and presented by Kawa Nazemi

Two of the five participants won the Best Paper Award for their papers and presentations. Cristian A. Secco was awarded for his paper "Medical Visual Analytics: An Approach for Analyzing Electronic Health Records", and Uliana Eliseeva received the award for "Query-to-Vis: Conceptualization of a Broad-coverage Automated Visualization Pipeline".

The conference provided a valuable opportunity to receive constructive feedback and interesting questions from colleagues, which confirmed the importance of the work and increased the motivation to push the research further. The papers presented are interim results of the EU-funded FARMWISE project under Horizon Europe.

The dkmi and ikum would like to congratulate both of them on this award.