Unverified Commit 3b7452db authored by Marco Jahn's avatar Marco Jahn Committed by GitHub
Browse files

Event04 (#40)

* Adding September Event
Signed-off-by: Marco Jahn's avatarMarco <marco.jahn@eclipse-foundation.org>

* update info
Signed-off-by: Marco Jahn's avatarMarco <marco.jahn@eclipse-foundation.org>
parent 42842885
......@@ -22,7 +22,7 @@ Join us for our next Open Research Webinars on Tuesday, September 28, 2021 at 16
Through a selection of state-of-the-art project presentations and demonstrations, this new series of webinars introduces software research projects that help shape the future of open source software and the IT industry. Co-organized by OW2 and the Eclipse Foundation, the webinars will focus on international partners leveraging open source in European publicly-funded collaborative research and innovation programs.
### Presentations
[![Activeeon](images/activeeon.png)](https://www.activeeon.com/) [![Panorama](images/panorama.png)](https://www.panorama-research.org/)
[![Activeeon](images/activeeon.png)](https://www.activeeon.com/) [![Capra](images/capra.png)](https://projects.eclipse.org/projects/modeling.capra)
{{</ events/registration >}}
{{</ grid/section-container >}}
......@@ -11,7 +11,13 @@ items:
type: session
time: 16:15 - 16:35 (CET)
abstract: |
<p>Coming soon...</p>
<p>ProActive Machine Learning (PML) from Activeeon, is an open-source platform for the distribution
and parallelization of machine learning (ML) workloads on any large infrastructure. It enables researchers,
data scientists, developers and IT administrators to work together to design and automate ML pipelines from
development to production. It manages distributed AutoML experiments, dispatches and runs parallel jobs
generated by tuning algorithms to search the optimal neural architecture and/or hyperparameters.
Once in production, PML allows real-time monitoring of the performance of deployed models and alerts
users when an important issue is detected. </p>
- name: "Extensible Traceability Management with Eclipse Capra"
presenter: <a href="speakers/#jan_philipp_steghoefer">Jan-Philipp Steghöfer</a>
type: session
......@@ -4,7 +4,18 @@ items:
title: "Senior AI Architect (Activeeon)"
img: andrews_cordolino_sobral.jpg
bio: |
<p>Coming soon...</p>
<p>Andrews Cordolino Sobral is a skilled software engineer working since November 2000 with low-level and
high-level software design, development and architecture at several Information Technology (IT) companies.
From 2010, his research activities have been focused on intelligent image/video analysis for object detection,
segmentation and tracking, to perform event/action recognition and behavior classification/prediction.
Then, he received a Doctorate Degree (Ph.D.) in Computer Vision and Machine Learning at the University of
La Rochelle (France) in 2017. Since then, he has closely followed the recent advances in deep neural networks,
including neural network architectures, hyperparameter tuning, and optimization algorithms.
He also embedded real-time computer vision and machine learning models at the edge on system-on-a-chip (SoC)
devices such as Raspberry PI, PandaBoard, and NVIDIA Jetson boards.
He is currently working as a Senior AI Architect and Head of the Machine Learning team at ActiveEon since 2017.
He is mainly focused on Artificial Intelligence (AI) at Scale, HPC+IA, MLOps, and helping the customers to
automate and orchestrate AI-based workflows, scaling-up with parallel and distributed execution.</p>
- name: "Jan-Philipp Steghöfer"
anchor: jan_philipp_steghoefer
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment