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SGSOACS 2021

Seventh Spanish-German Symposium on Applied Computer Science

Online, 2020-2021

Presentation

We are proud to announce the Seventh Spanish-German Symposium on Applied Computer Science. The SGSOACS symposia were born to promote collaboration in applied Computer Science between Spanish and German universities. This edition is organized jointly by the University of Cádiz, the Frankfurt University of Applied Sciences and the Complutense University of Madrid.

The programme includes several talks, including applications of machine learning and complex-event processing to very different areas, such as human-activity recognition, ambient-assisted living, etc. In its inception, the symposium goal is to present highly speculative research as a series of talks followed by open questions and debate.

We are happy to invite any student, researcher, or professional interested in these topics to join us and participate in the event. We hope that this edition will bring in further opportunities for collaboration within the Spanish-German community of Computer Scientists. Regarding ongoing collaborations, this will surely increase the quality of our current and future research.

The Organisers, Matthias Wagner & Inmaculada Medina-Bulo

Registration

Registration is free of charge. You can join any session freely upon invitation. Please, contact the Organising Committee well in advance if you are interested, and take into account that the sessions can be recorded and published.

Programme

Time information is always in accordance to the Central European Time (CET) timezone.

Chair: Matthias Wagner
10:30—10:35Welcome
10:35—11:30 Jörg Schäfer, CSI-based human activity recognition using ML
11:30—12:00Questions and Answers
Chair: Matthias Wagner
10:30—10:35Welcome
10:35—11:30 Pablo Caballero Torres, Projects, technologies and opportunities arising from the application of IoT to Ambient Assisted Living
11:30—12:00Questions and Answers
Chair: Inmaculada Medina-Bulo
10:30—10:35Welcome
10:35—11:30 David Corral-Plaza, Processing heterogeneous data in the Internet of Things
11:30—12:00Questions and Answers
Chair: Jörg Schäfer
10:30—10:35Welcome
10:35—11:30 Patrick Gierl, Complex-Valued Neural Networks in load-flow applications
11:30—12:00Questions and Answers
Chair: Matthias Wagner
10:30—10:35Welcome
10:35—11:30 Sruthi Chiramel, Estimating parameters of COVID-19 using epidemiological models
11:30—12:00Questions and Answers
Chair: Manuel Núñez
10:30—10:35Welcome
10:35—11:30 Kevin J. Valle-Gómez, Mutation testing and dynamic symbolic execution: the key to automatically generating high-quality test cases
11:30—12:00Questions and Answers
Chair: Matthias Wagner
10:30—10:35Welcome
10:35—11:30 Radhika Satam, Detecting COVID-19-related fake news using Deep Neural Networks
11:30—12:00Questions and Answers
Chair: Guadalupe Ortiz
10:00—10:05Welcome
10:05—11:00 Hanno Hildmann, Runtime Verification – As AI gets smarter, who watches the watchdog? And how?
11:00—11:30Questions and Answers
Chair: Francisco Palomo-Lozano
10:30—10:35Welcome
10:35—11:30 Jörg Schäfer, Deep Learning and Information Theory – The Math
11:30—12:00Questions and Answers
12:05—13:00 Fatima Sajid Butt, Human activity recognition with different deep learning models for accelerometer and ECG data
13:00—13:30Questions and Answers
Chair: David Gómez-Ullate Oteiza
10:00—10:05Welcome
10:05—11:00 Fatima Sajid Butt, Condition monitoring for anti-reflective lens coating machines using various machine learning techniques with the DMME approach
11:00—11:30Questions and Answers
11:35—12:30 Jörg Schäfer, Human activity recognition with Nexmon – A practical approach
12:30—13:00Questions and Answers
Chair: Matthias Wagner
10:00—10:05Welcome
10:05—11:00 Jannis Kreß, Saving fuel through intelligent throttling of scooters by velocity control – HiL approach
11:00—11:30Questions and Answers

Committees

Organising Committee

Steering Committee

Venue

Because of the current situation under the COVID-19 pandemics, the 7th edition of SGSOACS will be an all-online event consisting of several talks spread on the academic course 2020-2021.

Date

Starting in December 2020.

Place

Please, watch your e-mail before each session for updated videoconference session notification and access passwords.