Activities

Summer School on Biomedical Data Science

Biomedical Data Science is a multi-disciplinary field that regards the analysis of large-scale biomedical datasets to understand how living systems function and solve health-related problems, such as improving our ability to diagnose and treat diseases. Biomedical data science includes many scientific and research areas, such as Computational Science, the interface between computer science, mathematics, and biomedical engineering, Machine Learning and Biomedical Data. Biomedical data science develops important new technologies applied to different application areas, such as molecular interaction networks, cancer therapy resistance, brain and heart function and related diseases.

In this Summer School invited experts will hold seminars on different topics of biomedical data science and interact with the participants in and out the lecture room. The aim of the School is to give some basic knowledge as well as stimulating practical examples to participants about different aspects of biomedical data science. The aim is also to exchange experience and ideas, as well as career perspectives, and interact in a relaxing environment of a summer camping. Social events are expected to take place, organized or not.

Location – accommodation

The BME Summer School 2023 will be held at the Kouyoni Camping-Bungalows premises. On the link below you can find more information about the location.

Information on Kouyoni Camping-Bungalows: https://kouyoni.gr/

Google Maps location: https://goo.gl/maps/4Kp6jHri92xsKRtCA

The camping has some limited places for tends, for camp lovers, and rooms in a complex within the camping premises for two, three and four persons, for non-camp lovers. The camping has also restaurant and cafe-bar. The accommodation and meals (breakfast, lunch and light dinner) will be run by the BME organizers. Further information will be given at site.

Schedule

The participants are expected to arrive at the Kouyoni camping at the afternoon / evening of Tuesday 27 June 2023. Upon arrival, registration and allocation to rooms, and tends for those who wish to have, will take place. In the evening, we will all gather for a welcome drink at the cafe-bar of the camping (or any other event that will be notified in due time).

The time schedule in the other three days is as follows:

  • Breakfast until 9:00
  • 9:00 – 13:30 Seminars with breaks for coffees / refreshments.
  • 13:30 – 15:00 Lunch and rest
  • 15:00 – 17:00 Seminars / presentations / discussions.
  • 17:00 – evening: free-time for interaction and possible events (to be announced).

The School will conclude on Friday 30 June at 17:00.

Contributors

The list of contributors is tentative and will be updated.

Summer School Contributors

Contributors to Summer School of MSc BME, 27-30 June 2023
Name Affiliation Contact details Topic type Title
Athanasiou, Alkinoos Co-Founder, Centre for Neuroscience and Biomedical Technology (CENEBIT) athalkinoos@auth.gr,  Career Neuroscience technology
Bamidis, Panagiotis Predident of Hellenic Society of Biomedical Technology (ELEVIT), Member of European Alliance for Medical and Biological Engineering Societies  (EAMBES) https://www.elevit.org.gr/         https://eambes.org/ Career Medical societies
Billis, Antonis Co-Founder, Chief Scientific Officer, EMMA ampillis@med.auth.gr,  https://www.emmatriage.com/ Career Emergency clinical support
Faes, Luca University of Palermo, Department of Engineering luca.faes@unipa.it, http://www.lucafaes.net/ Signal Processing, data analysis Information theory for the study of complex physiological systems
Klados, Manousos CITY College, University of York Europe Campus, Department of Psychology  mklados@gmail.com, https://www.mklados.com/ Data analysis Spectral Graph Theory and Latent Variable Models in Action: An tutorial in Personality Neuroscience
Konstantinidis, Evdokimos Co-Founder, CEO, CAPTAIN COACH P.C. evdokimosk@gmail.com, https://captaincoach.gr/ Career AI components for health
Kosvyra, Alexandra Aristotle University of Thessaloniki, School of Medicine alexandra.kosvyra@gmail.com,  Data analysis Generating a Data Repository for Cancer Research: the data provider and the technical perspective
Lambanaris, George Dormed, https://dormed.gr/, 2310851400 glabanaris@gmail.com, thessaloniki@dormed.gr Career Medical diagnostic equipments
Lelegianni, Maria Aristotle University of Thessaloniki, School of Medicine marialelegianni@gmail.com Data analysis Generating a Data Repository for Cancer Research: the data provider and the technical perspective
Lioumis, Pantelis Adj. Prof. In Cognitive Neuroscience, Faculty of Medicine, University of Helsinki; Research Fellow, Neuroscience and Biomedical Engineering, Aalto University, Finland pantelis.lioumis@aalto.fi, https://people.aalto.fi/pantelis.lioumis Signal Processing, data acquisition Functional, structural, and causal cortical mapping of the human brain: Towards the full potential of TMS and beyond
Natsiavas, Pantelis, Researcher (Grade C) Centre for Research and Technology Hellas (CERTH) Institute of Applied Biosciences (INAB), Ehealth Lab pnatsiavas@certh.gr, https://www.inab.certh.gr/contact/personnel/researchers/154-pantelis-natsiavas Medical Informatics Exploiting 'Real-World Data (RWD)' - The OHDSI-GR initiative
Nikolopoulos, Spiros Centre for Research and Technology Hellas (CERTH) Information Technologies Institute (ITI) nikolopo@iti.gr, https://www.iti.gr/iti/en/people/nikolopoulos-spiridon/ Image analysis,multimedia analysis  
Ntelopoulos, Tasos  Aristotle University of Thessaloniki, Department of Computer and Electrical Engineering antelopo@ece.auth.gr, https://ipl.ee.auth.gr/ Multimedia and medical informatics Real World behavioral and health data from wearable and mobile devices using AI
Oikonomou, Maria BETA CAE Systems SA www.beta-cae.com ANSA/META for Bio engineering - Career  
Paraskevopoulos, Evangelos University of Cyprus, Department of Psychology, Cyprus parasvag@gmail.com, https://www.ucy.ac.cy/directory/el/profile/eparas01 Cognition neurophysiology  Studying multisensory perception and learning via M/EEG
Psomopoulos, Fotis Centre for Research and Technology Hellas (CERTH) Institute of Applied Biosciences (INAB) fpsom@certh.gr, (https://biodataanalysisgroup.github.io/ Bioinformatics Introduction to transcriptomics
Sergiadis, Giorgos Aristotle University of Thessaloniki, Department of Computer and Electrical Engineering sergiadi@auth.gr, http://mri.ee.auth.gr/people.html Image processing and wireless communications From Optoacoustics to Thermoacoustics
Stavropoulos, Thanos Pfizer Center for Digital Innovation (CDI) Thanos.Stavropoulos@pfizer.com  Digital Innovation - Career Building a Strategy for Open Innovation

Application – Acceptance – Participation regulation

Here you can find the application form. Your registration to the Summer School on Biomedical Data Science of BME-AUTh 2023, should be submitted until 22nd of June 2023.

The applicants will be notified on 23th June 2023 whether there are accepted for participating in the Summer School. We expect to have around 30 participants. All participants are expected to come on afternoon / evening 27th June 2023 and leave after lunch on 30th June 2023.

All participants will have to arrange for their transport. For public transport, see KTEL Chalkidikis. The bus time is around 70 min from Thessaloniki to Gerakini. For late arrivals, it is possible to get the bus from Thessaloniki to N. Moudania and having a lift by car to the camping (you should inform the organizers).

Accommodation and meals (breakfast, lunch and light dinner) will be covered by the BME. There is no registration fee.

Contact – Secretary

You can contact the organizers by email to bme@auth.gr.