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Submit your paper and enjoy EAI’s fair evaluation and global recognition 🌎 Conference on Emerging Technologies for Developing Countries
August 20th, 2021 
Daniela Lopez de Luise 
Difusión del programa de capacitación para docentes de RIISIC
August 19th, 2021 Daniela Lopez de Luise Saludos cordiales
Programa-de-capacitacion-RIISIC.pdf46th annual IEEE Conference on Local Computer Networks (Demo Session)
August 19th, 2021 Daniela Lopez de Luise Call for Demos
The 46th Annual IEEE Conference on Local Computer Networks (LCN 2021)
==============================================================================
October 4-7, 2021
http://www.ieeelcn.org
IMPORTANT: After evaluating the current COVID-19 situation, the decision has
been made to hold this year's LCN in a fully virtual conference. The
conference dates remain the same.
Consider a virtual demo as an opportunity to showcase your work in a way that was not
possible in physical meetings or would have required to travel with a lot of gear.
We will do our best to accommodate demo author needs to present and discuss the demo virtually.
## Scope
IEEE LCN 2021 will feature a demo session with the aim of providing
demonstrations that validate important research issues and/or show innovative
prototypes. Authors are invited to submit technical demonstrations (no more than 3 pages) showing
innovative and original research. The authors are encouraged to highlight the research component
of the demo and explicitly mention the novelty of the showcased technology/
solution. The proposal should include one page that describes
what conference participants will be able to see or experience during the
demonstration.
IEEE LCN is looking for demonstrations in all topics covered by the main
conference and/or the symposium held in conjunction with LCN 2021. Research
prototypes as well as commercial products are welcome.
## Demo Submission
Proposals (no more than 3 pages) must be submitted via EDAS to the LCN Demo Track:
https://edas.info/newPaper.php?c=28077&track=107632
Demonstrations will be selected based on their merits and expected interest
from the LCN audience. All demo proposals will be reviewed by the members of the Demo Board via an
EDAS score sheet. The scores will be provided to the authors along with the
notification.
## Virtual Demo Presentation
Demo presentations will be organised as parallel dedicated virtual rooms for each demo similar to a face-to-face demo session. Demo presenters will have the opportunity to perform live demos while also answering questions from the audience. In addition, authors of accepted demos will also be asked to record a video to best showcase the demo which will be available for attendees during the conference.
* A best demo award will be awarded to the demo with the most votes from the audience.
## Important Dates
Demo Submission: Sep 6, 2021 [Extended]
Demo Acceptance: Sep 20, 2021
Demo Camera Ready: Sep 27, 2021
## Registration for Demos
For conference registration, a demo is not regarded as a paper, i.e.,
* demo presenters with no accepted conference or symposium papers must select
“non-author registration” when registering for the conference
* demo presenters with accepted LCN or symposium papers incur no extra charge
for a demo. The conference registration will cover their demo.
Please feel free to contact the demo chair if you have any questions regarding the demo content or setup.
Demo Chair: Kanchana Thilakarathna <kanchana.thilakarathna@sydney.edu.au>
6th IEEE International Conference on Computing, Communication, and Security (ICCCS – 2021) – 04-06th October 2021, Las Vegas USA.
August 19th, 2021 Daniela Lopez de Luise Invitation to join 2021 Summer ‘Programming short course and workshop on Deep Learning and Computer Vision’, 25-27th August 2021
August 19th, 2021 Daniela Lopez de Luise you are welcomed to register in the CVML e-course on ‘Programming short course and workshop on Deep Learning and Computer Vision’, 25–27th August 2021:
It will take place as a three-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures and workshops delivered through a tele-education platform (Zoom). They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills. You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics.
This course is part of the very successful CVML programming short course and workshop series that took place in the last four years.
Course description ‘Programming short course and workshop on Deep Learning and Computer Vision’
The programming short course and workshop e-course consists of 16 1-hour live lectures & workshops organized in two Parts (1 Part per day):
Part A will focus on Deep Learning and GPU programming.
Part B lectures will focus on deep learning algorithms for computer vision, namely on 2D object/face detection and 2D object tracking.
Part C lectures will focus on autonomous UAV cinematography. Before mission execution, it is best simulated, using drone mission simulation tools.
Part A (8 hours),
Deep Learning and GPU programming
Deep neural networks. Convolutional NNs.
Deep learning for target detection.
Image classification with CNNs.
Target detection with PyTorch.
Part B (8 hours), Deep Learning for Computer Vision
Deep learning for object/face detection.
2D object tracking.
PyTorch: Understand the core functionalities of an object detector. Training and deployment.
OpenCV programming for object tracking.
Part C (8 hours), Autonomous UAV cinematography
Video summarization.
UAV cinematography.
Video summarization with Pytorch.
Drone cinematography with Airsim.
You can use the following link for course registration:
Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein.
For questions, please contact: Ioanna Koroni <koroniioanna@csd.auth.gr>
The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (AIDA), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+.
AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking.
Relevant links:
1) Prof. I. Pitas:
https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el
2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/
3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/
4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/
5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/
6) AIIA Lab: https://aiia.csd.auth.gr/
Sincerely yours
Prof. I. Pitas
Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)
Aristotle University of Thessaloniki, Greece