05/06/2022
![](https://finki.ukim.mk/sites/default/files/styles/medium/public/default_images/finki_52_1_2_1_62_0.png?itok=636vJHVG)
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
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