Прва GoodBrother интернационална тренинг школа

Факултетот за информатички науки и инженерство во соработка со COST акцијата Good Brother (CA 19121) https://goodbrother.eu/ (Network on Privacy-Aware Audio- and Video-Based Applications for Active and Assisted Living) организира мултидисциплинарна летна тренинг школа.

Целта на оваа тренинг школа е да се популаризираат етичките и правните предизвици, како и предизвиците поврзани со приватноста на податоците кои се наметнуваат при процесирање на аудио и видео податоци. На школата ќе учествуваат студенти и предавачи од 16 држави.

Тренери и теми покриени на школата:

  • Francisco Flórez-Revuelta, Ph.D., University of Alicante, Spain, “Computer vision for AAL” and “Visual privacy preservation
  • Cristina Miguel, Ph.D., University of Gothenburg, Sweden, “Privacy and surveillance in the context of AAL applications: Social and ethical implications”
  • Lukács Adrienn, Ph.D, University of Szeged, Hungary, “From Big Brother to GoodBrother: Introduction to the legal regulation of privacy”
  • Ivan Pires, Ph.D., University of Beira Interior, Portugal, “Examples of audio- or video-based AAL applications”
  • María José Santofimia. Ph.D., Universidad de Castilla La Mancha, Spain, “Remote monitoring and/or fall detection and prevention”
  • Petre Lameski, Ph.D., Faculty of Computer Science and Engineering, Macedonia, “Introduction to Explainable AI”
  • Nina Hosseini Kivanani, Université du Luxembourg, Luxembourg, “How to apply augmentation techniques on small datasets: Neurodegenerative diseases datasets”
  • Eftim Zdravevski, Ph.D., Faculty of Computer Science and Engineering, Macedonia
  • Zoltán Alexin, PhD, University of Szeged, Hungary, “Pseudonymization and anonymization of datasets”
  • Aleksandar Jevremovic, Ph.D., Singidunum University, Serbia, “Protecting data in Smart/IoT environments”

Во продолжение е  наведена и програмата на школата:

Monday (June 6th)

  • 09:00 – 09:30 – Wellcome and GoodBrother introduction
  • 09:30 – 11:00 – Francisco Florez, Computer vision for AAL
  • 11:00 – 11:15 – Coffee break
  • 11:15 – 13:00 – Francisco Florez, Visual privacy preservation
  • 13:00 – 14:30 – Lunch break
  • 14:30 – 16:00 – Cristina Miguel, Privacy and surveillance in the context of AAL applications: Social and ethical implications
  • 16:00 – 17:00 – Practical activities

Tuesday (June 7th)

  • 09:00 – 10:50 – Lukács Adrienn, From Big Brother to GoodBrother: Introduction to the legal regulation of privacy
  • 10:50 – 11:10 – Coffee break
  • 11:10 – 13:00 – Ivan Pires, Examples of audio- or video-based AAL applications
  • 13:00 – 14:30 – Lunch break
  • 14:30 – 17:00 – Practical activities

Wednesday (June 8th)

  • 09:00 – 10:50 – Maria Jose Santofimia, Remote monitoring and/or fall detection and prevention
  • 10:50 – 11:10 – Coffee break
  • 11:10 – 13:00 – Petre Lameski, Introduction to Explainable AI
  • 13:00 – 14:30 – Lunch break
  • 14:30 – 17:00 – Practical activities

Thursday (June 9th)

  • 09:00 – 10:50 – Nina Hosseini Kivanani, How to apply augmentation techniques on small datasets: Neurodegenerative diseases datasets
  • 10:50 – 11:10 – Coffee break
  • 11:10 – 13:00 – Eftim Zdravevski, Introduction to big data processing
  • 13:00 – 14:30 – Lunch break
  • 14:30 – 17:00 – Practical activities

Friday (June 10th)

  • 09:00 – 10:50 – Alexin Zoltán, Pseudonymization and anonymization of datasets
  • 10:50 – 11:10 – Coffee break
  • 11:10 – 13:00 – Aleksandar Jevremovic, Protecting data in Smart/IoT environments
  • 13:00 – 14:30 – Lunch break
  • 14:30 – 16:00 – Practical activities
  • 16:00 – 17:00 – End of the training school