first version official website

_data/citations.yaml

@@ -4,14 +4,17 @@
   title: Evaluating Neighbor Explainability for Graph Neural Networks
   authors:
   - Oscar Llorente Gonzalez
+  - Rana Fawzy
+  - Jared keown
+  - Michal Horemuz
   - "P\xE9ter Vaderna"
   - "S\xE1ndor Laki"
   - "Roland Kotrocz\xF3"
   - Rita Csoma
   - "J\xE1nos M\xE1rk Szalai-Gindl"
   publisher: arXiv
   date: '2023-11-14'
-  link: https://doi.org/gs9w7h
+  link: https://doi.org/10.48550/arxiv.2311.08118
   type: paper
   image: images/light.jpg
   description: Explainability in Graph Neural Networks (GNNs) is a new field growing
@@ -36,13 +39,15 @@
     link: EricssonResearch/gnn-neighbors-xai
   plugin: sources.py
   file: sources.yaml
+
+
 - id: doi:10.48550/arXiv.2310.19573
   title: Model Uncertainty based Active Learning on Tabular Data using Boosted Trees
   authors:
   - Sharath M Shankaranarayana
   publisher: arXiv
   date: '2023-10-30'
-  link: https://doi.org/gs9w7j
+  link: https://doi.org/10.48550/arxiv.2310.19573
   type: paper
   image: images/night.jpg
   description: Supervised machine learning relies on the availability of good labelled
@@ -60,3 +65,38 @@
     link: https://arxiv.org/abs/2310.19573
   plugin: sources.py
   file: sources.yaml
+
+
+- id: doi.org/10.48550/arXiv.2309.12913
+  title: "A matter of attitude: Focusing on positive and active gradients to boost saliency maps"
+  date: '2023-09-22'
+  type: paper
+  image: images/space.jpg
+  authors:
+  - Oscar Llorente Gonzalez
+  - Jaime Boal
+  - "Eugenio F. S\xE1nchez-\xDAbeda"
+  publisher: arXiv
+  description: ESaliency maps have become one of the most widely used interpretability
+    techniques for convolutional neural networks (CNN) due to their simplicity and
+    the quality of the insights they provide. However, there are still some doubts
+    about whether these insights are a trustworthy representation of what CNNs use
+    to come up with their predictions. This paper explores how rescuing the sign of
+    the gradients from the saliency map can lead to a deeper understanding of multi-class
+    classification problems. Using both pretrained and trained from scratch CNNs we
+    unveil that considering the sign and the effect not only of the correct class,
+    but also the influence of the other classes, allows to better identify the pixels
+    of the image that the network is really focusing on. Furthermore, how occluding
+    or altering those pixels is expected to affect the outcome also becomes clearer.
+  tags:
+  - GAI Lab
+  - Comillas Pontifical University (ICAI)
+  buttons:
+  - type: paper
+    text: Manuscript
+    link: https://arxiv.org/abs/2309.12913
+  - type: github
+    text: Source Code
+    link: osllogon/positive_active_saliency_maps
+  plugin: sources.py
+  file: sources.yaml

_data/projects.yaml

@@ -1,44 +1,26 @@
 - title: GAI Lab
   subtitle: Geometric Artficial Intelligence
   group: featured
-  image: images/sa.png
-  link: https://github.com/
+  image: images/gai_lab.png
+  link: https://ericsson.github.io/cognitive-labs/publications/
   description: Research Lab focused on Geometric AI, specifically in GNNs, Explainability in Geometric ML, Graph Generation and Temporal GNNs.
   tags:
     - GAI Lab
 
 - title: MLR Lab
   subtitle: Machine Learning and Reasoning
   group: featured
-  image: images/mlr_icon.png
-  link: https://github.com/
+  image: images/mlr_lab.png
+  link: https://ericsson.github.io/cognitive-labs/publications/
   description: Research Lab focused on Optimization, Reinforcement Learning, Distributed Learning, Catastrophic Fogetting and Active Learning.
   tags:
     - MLR Lab
 
 - title: FAI Lab
   subtitle: Foundational Artficial Intelligence
   group: featured
-  image: images/fai_icon.png
-  link: https://github.com/
+  image: images/fai_lab.png
+  link: https://ericsson.github.io/cognitive-labs/publications/
   description: Research Lab focused on Generative Artificial Intelligence, Catatrophic Forgetting and Long-term Forecasting with Temporal Model.
   tags:
-    - FAI Lab
-
-- title: Cool Web App
-  subtitle: a subtitle
-  image: images/photo.jpg
-  link: https://github.com/
-  description: Lorem ipsum _dolor sit amet_, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
-  repo: greenelab/lab-website-template
-  tags:
-    - software
-
-- title: Cool Web Server
-  subtitle: a subtitle
-  image: images/photo.jpg
-  link: https://github.com/
-  description: Lorem ipsum _dolor sit amet_, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
-  repo: greenelab/lab-website-template
-  tags:
-    - software
+    - FAI Lab

_data/sources.yaml

@@ -4,6 +4,9 @@
   image: images/light.jpg
   authors:
   - Oscar Llorente Gonzalez
+  - Rana Fawzy
+  - Jared keown
+  - Michal Horemuz
   - "P\xE9ter Vaderna"
   - "S\xE1ndor Laki"
   - "Roland Kotrocz\xF3"
@@ -33,4 +36,25 @@
   - type: paper
     text: Manuscript
     link: https://arxiv.org/abs/2310.19573
-
+
+
+- id: doi.org/10.48550/arXiv.2309.12913
+
+  date: '2023-09-22'
+  type: paper
+  image: images/space.jpg
+  authors:
+  - Oscar Llorente Gonzalez
+  - Jaime Boal
+  - Eugenio F. Sánchez-Úbeda
+  description: ESaliency maps have become one of the most widely used interpretability techniques for convolutional neural networks (CNN) due to their simplicity and the quality of the insights they provide. However, there are still some doubts about whether these insights are a trustworthy representation of what CNNs use to come up with their predictions. This paper explores how rescuing the sign of the gradients from the saliency map can lead to a deeper understanding of multi-class classification problems. Using both pretrained and trained from scratch CNNs we unveil that considering the sign and the effect not only of the correct class, but also the influence of the other classes, allows to better identify the pixels of the image that the network is really focusing on. Furthermore, how occluding or altering those pixels is expected to affect the outcome also becomes clearer.
+  tags:
+  - GAI Lab
+  - Comillas Pontifical University (ICAI)
+  buttons:
+  - type: paper
+    text: Manuscript
+    link: https://arxiv.org/abs/2309.12913
+  - type: github
+    text: Source Code
+    link: osllogon/positive_active_saliency_maps

_members/abdelrahman.md

@@ -9,6 +9,6 @@ links:
   email: [email protected]
 ---
 
-# Abdelrahman
+# Abdelrahman El Antably
 
 Abdelrahman is a Data Scientist at Ericsson with more than four years of experience in data analysis/data management field. He is currently part of the MMEA AI and Analytics team, as well as the Cognitive Software R&D working with the Uplink Optimizer team. Concurrently, Abdelrahman is pursuing a Master's degree at Cairo University, specializing in AI applications in Telecom, after completing the pre-master's studies. The academic journey began at Ain Shams University where he obtained his Bachelor's degree in Computer Science and Bioinformatics. Abdelrahman worked previously at Udacity, where he had the privilege of educating students on data analysis courses and assisting them in applying data analysis concepts to solve real-world problems.

_members/alex-geogloman.md

@@ -1,6 +1,6 @@
 ---
 name: Alex Geogloman
-image: images/members/leaders/alex.jpeg
+image: images/members/leaders/alex.png
 role: phd
 description: Data Architecture Manager
 lab: leaders
@@ -9,4 +9,6 @@ links:
   email: [email protected]
 ---
 
-The best one when it comes to the connection between Radio and AI.
+# Alexandru Geogloman
+
+Alexandru Geogloman is a seasoned professional with over a decade of rich experience in industrial automation and software engineering. His background includes significant leadership roles in sales, technical sales, engineering learning and development, and software development. His expertise lies in leadership, strategy, problem-solving, business operations, and fostering continuous improvement. With an educational foundation that includes an MBA from the University of Hull and degrees in Electrical Engineering from Politehnica University of Bucharest, Alexandru champions the principle of continuous learning.

_members/arindam-dey.md

@@ -10,4 +10,6 @@ links:
   email: [email protected]
 ---
 
-Arindam has been associated with the cellular wireless industry for 24 years. As an Network Optimization Expert, he has worked for operators in India and abroad alike. He carries a rich experience in 2G, 3G, 4G Optimization and planning across multi-vendor networks. He joined Ericsson in 2013 as a first line leader, and since then has managed optimization teams in multiple markets.  He has been also involved with L&CD , designing curriculum for enhancing Programing, Public Cloud and Machine Learning skills. He joins us from the erstwhile BMAS SA NDO SL-OPT, where he was leading multiple automation initiatives and solutions, aligned with the organization strategy.
+# Arimdam Dey
+
+Arindam has been associated with the cellular wireless industry for 24 years. As a Network Optimization Expert, he has worked for operators in India and abroad alike. He has a rich experience in 2G, 3G, 4G Optimization and planning across multivendor networks. He joined Ericsson in 2013 as a first-line leader, and since then has managed optimization teams in multiple markets.  Furthermore, he has been also involved with L&CD, designing a curriculum for enhancing Programming, Public Cloud and Machine Learning skills. He joins us from the erstwhile BMAS SA NDO SL-OPT, where he was leading multiple automation initiatives and solutions, aligned with the organization's strategy.

_members/juan-ramiro.md

@@ -5,9 +5,12 @@ role: phd
 description: AI Research Manager
 lab: leaders
 links:
-  email: [email protected]
+  linkedin: juan-ramiro
+  email: [email protected]
 ---
 
+# Juan Ramiro
+
 Juan Ramiro is the AI Research Manager within Ericsson Cognitive Software Engineering, where he leads R&D activities with mid and long-term horizon, involving exploration of new technologies, forward-looking concepts and disruptive network optimization methodologies.
 With over 15 years of experience in the telecom industry, he has held positions related to R&D, strategy, marketing and technical sales.
 Juan holds a Telecom Engineering degree from Malaga University, a PhD in Electrical and Electronic Engineering from Aalborg University, an Executive MBA from San Telmo Business School and an Executive Degree in Big Data & Business Analytics from EOI. He is also an Honorary Associate Professor at Malaga University, as well as the co-author of a book on Self-Organizing Networks

_members/judit-badics.md

@@ -9,4 +9,6 @@ links:
   email: [email protected]
 ---
 
+# Judit Badics
+
 A data scientist with a strong mathematical and game theoretic background who uses a multidisciplinary way of thinking to understand how ML/DL algorithms work.

_members/katalin.md

@@ -5,10 +5,13 @@ role: scientist
 lab: gai-lab
 links:
   linkedin: katalin-hajdu-szucs
+  github: HSzKatalin
   google-scholar: https://scholar.google.com/citations?user=mbbzmg8AAAAJ&hl=en
   email: [email protected]
 ---
 
+# Katalin Hajdú-Szücs
+
 Katalin gained her bachelor’s degree in mathematics in Budapest and her master’s degree in computer science as an EIT ICT Labs student in Trento.
 She continued her studies in the Doctoral School of Eötvös Loránd University at the Department of Information Systems. Currently, she is writing her dissertation in the topic of graph neural network interpretability. Her other experiences involve optical character recognition, loan default prediction, detection and classification of sound events and radio network data analytics.
-She joined Ericsson in 2023 after a two-year long collaboration in the topic of graph neural network explainability. Today she is working on performance diagnostics, but she will be joining performance optimizers in the near future.
+She joined Ericsson in 2023 after a two-year-long collaboration on the topic of graph neural network explainability. Today she is working on performance diagnostics, but she will be joining performance optimizers in the near future.

_members/luis-diaz.md

@@ -3,13 +3,15 @@ name: Luis Diaz
 image: images/members/gai-lab/luis.png
 role: scientist
 description: Head of FAI Lab
-lab: gai-lab, fai-lab, board
+lab: fai-lab, board
 links:
   linkedin: luis-felipe-diaz-9831a239
   github: luisfelipe2105
   email: [email protected]
 ---
 
+# Luis Diaz
+
 With over 10 years of experience in the telecommunications industry, I am a passionate data scientist who thrives on solving complex problems and creating innovative solutions. Currently, I work as a Data Scientist R&D at Ericsson, where I actively research and develop advanced machine learning models for the optimization of Radio Access Networks (RAN).
 
 My core competencies include Generative AI, Graph Neural Networks (GNN), Convolutional Neural Networks (CNN), and Neural Networks for tabular data classification. These techniques enable me to leverage diverse data sources and craft dynamic solutions that enhance and optimize RAN performance. As a result, I contribute significantly to the development of our state-of-the-art RAN optimization products. Additionally, I am expanding my expertise in applying AI to Cybersecurity, a field that offers exciting challenges and opportunities.

_members/mariam-elmasry.md

@@ -4,7 +4,11 @@ image: images/members/gai-lab/mariam.jpeg
 role: scientist
 lab: gai-lab
 links:
+  linkedin: mariam-elmasry-
+  github: mhelmasr
   email: [email protected]
 ---
 
-First-league Research Scientist in applied Reinforcement Learning to cellular networks.
+# Mariam Elmasry
+
+Mariam is a highly motivated passionate Experienced Data Scientist with a Master’s Degree in Advanced Analytics. She has eight years of industry experience with extensive AI, statistical and analytics background. She possesses the knowledge, experience, and techniques necessary to deliver sophisticated AI solutions. A master programmer in Python who led several team projects administrated on Azure DevOps in a variety of fields like Financial, R&D, FMCG, SAAS, etc.

_members/mayar-hefny.md

@@ -10,5 +10,7 @@ links:
   email: [email protected]
 ---
 
+# Mayar Hefny
+
 Mayar is an Experienced Data Scientist with more than 5 years of experience in developing AI-powered software  at Ericsson. She's also pursuing a Master's degree in Machine Learning at Georgia Tech.
 She has contributed to multiple software products globally and has experience in different areas of the ML ecosystem. She has also worked on Trustworthy AI research and development at Ericsson and contributed to 2 patents. Her main research interests are Reinforcement Learning, Explainable RL and Quantum Machine Learning.

_members/oscar-llorente-gonzalez.md

@@ -4,8 +4,6 @@ image: images/members/gai-lab/oscar.jpeg
 role: scientist
 description: Head of GAI Lab
 lab: gai-lab, board
-aliases:
-  - Oscar Llorente Gonzalez
 links:
   linkedin: osllogon
   github: osllogon

_members/philipp-frank.md

@@ -5,7 +5,8 @@ role: phd
 description: Head of Research
 lab: leaders
 links:
-  email: [email protected]
+  linkedin: philipp-frank-b557263b
+  email: [email protected]
 ---
 
-The best one when it comes to the connection between Radio and AI.
+# Philippp Frank

_members/rana-fawzy.md

@@ -11,6 +11,4 @@ links:
 
 # Rana Fawzy
 
-Senior Data Scientist with over five years of expertise in leveraging machine learning, deep learning and statistical 
-modeling to address complex business challenges. Proficient in transforming data into strategic opportunities for 
-actionable insights.
+Data scientist with over five years of experience, focusing on developing and applying machine learning and deep learning algorithms, along with statistical modeling and data analysis, specifically in the telecom industry. I’m always on the lookout for the newest and most cutting-edge algorithms to keep our work at the forefront of technology.

_members/raul-martin.md

@@ -5,7 +5,10 @@ role: phd
 description: AI Lead
 lab: leaders
 links:
+  linkedin: raul-martín-cuerdo-b6a53913
   email: [email protected]
 ---
 
-The best one when it comes to the connection between Radio and AI.
+# Raul Martin
+
+Raúl Martín Cuerdo is ML and AI product development leader in Ericsson Cognitive Software Engineering, helping to realize ideas and concepts into new AI powered software applications during the last 6 years. With more than 20 years of experience in telecom industry, he has held positions as customer technical project lead for relevant CSPs in different companies. He holds a master’s degree in telecommunications engineering from the Universidad Politécnica de Madrid.

_members/sharath-x.md

@@ -3,9 +3,13 @@ name: Sharath X
 image: images/members/mlr-lab/sharath.png
 role: scientist
 description: Head of MLR Lab
-lab: mlr-lab, gai-lab, fai-lab, board
+lab: mlr-lab, fai-lab, board
 links:
+  linkedin: sharath-m-s
+  github: sharath-sms
+  google-scholar: https://scholar.google.com/citations?hl=en&user=HMQHVhoAAAAJ&view_op=list_works&sortby=pubdate
   email: [email protected]
+  orcid: 0000-0003-3482-4887
 ---
 
 # Sharath X

_members/veera.md

@@ -4,7 +4,8 @@ image: images/members/gai-lab/veera.jpeg
 role: scientist
 lab: gai-lab
 links:
+  linkedin: veerarc
   email: [email protected]
 ---
 
-The best one when it comes to the connection between Radio and AI.
+# Chikka Veera

_members/ziad-osman.md

@@ -9,7 +9,9 @@ links:
   email: [email protected]
 ---
 
-Ziad is the proprietor of an exquisite record of achieving industrial & research goals & products for worldwide top-ranked universities’ product development and research labs under the umbrella of top tier leading technology enterprises.
+# Ziad Osman
+
+Ziad is the proprietor of an exquisite record of achieving industrial & research goals & products for worldwide top-ranked universities’ product development and research labs under the umbrella of top-tier leading technology enterprises.
 He is a fervent researcher in quantum computing and its symbiotic association with machine learning and data science.
 Moreover, he has a Master of science degree (M.Sc.) in electronics and communications engineering in “Enhancing quantum computing using machine learning techniques”; one of the first theses –at the time- to make use of that paradigm in the rapport between quantum computing and machine learning.
-He obtained bachelor’s degree (B.Sc.) in electronics and communications engineering from AASTMT with ABET certified coursework and top rankings among his class. Former Teaching assistant/researcher at AASTMT college of engineering (electronics and communications engineering and computer engineering) and college of computer science.
+He obtained a bachelor’s degree (B.Sc.) in electronics and communications engineering from AASTMT with ABET-certified coursework and top rankings among his class. Former Teaching assistant/researcher at AASTMT College of Engineering (electronics and communications engineering and computer engineering) and college of computer science.

blog/index.md

@@ -1,11 +1,11 @@
 ---
 title: Blog
-nav:
-  order: 4
-  tooltip: Musings and miscellany
+# nav:
+#   order: 4
+#   tooltip: Musings and miscellany
 ---
 
-# {% include icon.html icon="fa-solid fa-feather-pointed" %}Blog
+# {% include icon.html icon="fa-solid fa-feather-pointed" %}Blog2
 
 Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
 Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

projects/index.md → labs/index.md

@@ -2,7 +2,7 @@
 title: Labs
 nav:
   order: 2
-  tooltip: Software, datasets, and more
+  tooltip: Our research organization
 ---
 
 # {% include icon.html icon="fa-solid  fa-graduation-cap" %} Labs