add team members

README.md

@@ -1,7 +1,7 @@
 
-# osllogon's Website
+# Ericsson Cognitive Network Solutions
 
-Visit **[ericssonresearch.github.io/cognitive-network-solutions](https://ericssonresearch.github.io/cognitive-network-solutions)** 🚀
+Visit **[ericssonresearch.github.io/cognitive-software](https://ericssonresearch.github.io/cognitive-software)** 🚀
 
 _Built with [Lab Website Template](https://greene-lab.gitbook.io/lab-website-template-docs)_
 

_config.yaml

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 # site properties and page defaults
-title: Ericsson CNS
-title_intro: Ericsson Cognitive Network Solutions 
-title_short: CNS
+title: Cognitive Labs - Ericsson
+title_intro: Ericsson Cognitive Labs
+title_short: Ericsson Cognitive Labs
 subtitle: 
 description: An engaging 1-3 sentence description of your lab.
 header: images/ericsson_background.jpg

_data/citations.yaml

@@ -11,7 +11,7 @@
   - "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
@@ -42,7 +42,7 @@
   - 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

_data/types.yaml

@@ -18,14 +18,22 @@ undergrad:
   icon: fa-solid fa-user-graduate
   description: Undergraduate Student
 
-programmer:
-  icon: fa-solid fa-code
-  description: Programmer
-
 mascot:
   icon: fa-solid fa-dog
   description: Mascot
 
+scientist:
+  icon: fa-solid fa-dna
+  description: Data Scientist
+
+software:
+  icon: fa-solid fa-code
+  description: Software Engineer
+
+ndo:
+  icon: fa-solid fa-satellite-dish
+  description: NDO Expert
+
 # general
 
 link:

_members/alex-geogloman.md

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+---
+name: Alex Geogloman
+image: images/members/leaders/alex.jpeg
+role: phd
+description: Data Architecture Manager
+lab: leaders
+links:
+  linkedin: alexandru-geogloman
+  email: [email protected]
+---
+
+The best one when it comes to the connection between Radio and AI.

_members/antonio-diaz.md

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+---
+name: Antonio Jesus Diaz Cano
+image: images/members/gai-lab/antonio.jpg
+role: scientist
+description: Data Scientist
+lab: gai-lab
+aliases:
+  - Antonio Jesus Diaz Cano
+links:
+  linkedin: antonio-díaz-cano-7304031b3
+  github: antodiazcano
+  email: [email protected]
+---
+
+# Antonio Jesus Diaz Cano
+
+Antonio is a Data Scientist II currently working in Grpah Neural Networks and Explainability. Since he was little Antonio has liked mathematics and computers. Currently, he is a Mathematical Engineer specializing in AI, and he is dedicated to finding practical ways to use these technologies to solve real-world problems and continue exploring new frontiers in the field of AI. My research interests are primarily neural networks, in particular graph neural networks.

_members/anubhab-samal.md

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+---
+name: Anubhab Samal
+image: images/members/gai-lab/anubhab.png
+role: scientist
+lab: gai-lab, fai-lab
+links:
+  email: [email protected]
+---
+
+The best one when it comes to the connection between Radio and AI.

_members/arindam-dey.md

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+---
+name: Arimdam Dey
+image: images/members/fai-lab/arindam.jpg
+role: scientist
+description: Head of FAI Lab
+lab: fai-lab, board 
+links:
+  linkedin: arindam-dey-576309158
+  github: Arindam75
+  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.

_members/juan-ramiro.md

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+---
+name: Juan Ramiro
+image: images/members/leaders/juan.jpg
+role: phd
+description: AI Research Manager
+lab: leaders
+links:
+  email: [email protected]
+---
+
+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

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+---
+name: Judit Badics
+image: images/members/gai-lab/judit.jpg
+role: scientist
+lab: gai-lab
+links:
+  linkedin: judit-badics-19267540
+  github: judit-b
+  email: [email protected]
+---
+
+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

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+---
+name: Katalin Hajdú-Szücs
+image: images/members/gai-lab/katalin.jpg
+role: scientist
+lab: gai-lab
+links:
+  linkedin: katalin-hajdu-szucs
+  google-scholar: https://scholar.google.com/citations?user=mbbzmg8AAAAJ&hl=en
+  email: [email protected]
+---
+
+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.

_members/luis-diaz.md

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+---
+name: Luis Diaz
+image: images/members/gai-lab/luis.png
+role: scientist
+description: Head of FAI Lab
+lab: gai-lab, fai-lab, board
+links:
+  linkedin: luis-felipe-diaz-9831a239
+  github: luisfelipe2105
+  email: [email protected]
+---
+
+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.
+
+I am also known for my collaborative approach and knowledge-sharing with my team and other stakeholders. I constantly seek ways to innovate and improve processes, and I align my goals with the company's vision and mission. 

_members/mariam-elmasry.md

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+---
+name: Mariam Elmasry
+image: images/members/gai-lab/mariam.jpeg
+role: scientist
+lab: gai-lab
+links:
+  email: [email protected]
+---
+
+First-league Research Scientist in applied Reinforcement Learning to cellular networks.

_members/mayar-hefny.md

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+---
+name: Mayar Hefny
+image: images/members/mlr-lab/mayar.jpeg
+role: scientist
+description: Head of MLR Lab
+lab: mlr-lab, board
+links:
+  linkedin: mayar-hefny
+  github: mayar-ahmed
+  email: [email protected]
+---
+
+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/michal-horemuz.md

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+---
+name: Michal Horemuz
+image: images/members/gai-lab/michal.jpg
+role: scientist
+description: Data Scientist
+lab: gai-lab
+aliases:
+  - Michal Horemuz
+links:
+  linkedin: h9mike
+  email: [email protected]
+---
+
+# Michal Horemuz
+
+Michal studied engineering physics at KTH, followed by a master's in machine learning and a master's in computer science, and now I am a data scientist at GAIA, Ericsson. The projects he has worked on include time series forecasting, classifiers, root cause analysis, large language models and graph neural networks. Currently, he is working on offline reinforcement learning for link adaptation. His main topics of interest are explainability, generative models, and practical usage of ML algorithms. He is also interested in complex systems, and Unreal Engine.

_members/oscar-llorente-gonzalez.md

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+---
+name: Oscar Llorente Gonzalez
+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
+  google-scholar: https://scholar.google.com/citations?user=AL2xF9AAAAAJ&hl=en
+  email: [email protected]
+  orcid: 0000-0001-8713-9213
+---
+
+# Oscar Llorente Gonzalez
+
+Oscar is a Senior Data Scientist, Head of the Geometric Artificial Intelligence (GAI) Lab. Currently, he is working on 
+the optimization of cellular networks with Graph Neural Networks. Geometric Deep
+Learning and Explainability are his main research areas.
+
+Oscar is also an Adjunct Professor at the Pontifical University of Comillas (ICAI), teaching a course on Deep Learning 
+in Mathematical Engineering and Artificial Intelligence degree.

_members/philipp-frank.md

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+---
+name: Philippp Frank
+image: images/members/leaders/philipp.jpeg
+role: phd
+description: Head of Research
+lab: leaders
+links:
+  email: [email protected]
+---
+
+The best one when it comes to the connection between Radio and AI.

_members/rana-fawzy.md

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+---
+name: Rana Fawzy
+image: images/members/gai-lab/rana.png
+role: scientist
+lab: gai-lab
+links:
+  github: john-doe
+---
+
+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.

_members/raul-martin.md

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+---
+name: Raul Martin
+image: images/members/leaders/raul.jpeg
+role: phd
+description: AI Lead
+lab: leaders
+links:
+  email: [email protected]
+---
+
+The best one when it comes to the connection between Radio and AI.

_members/ruben-gonzalez.md

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+---
+name: Ruben Gonzalez
+image: images/members/fai-lab/ruben.jpeg
+role: scientist
+description: Data Scientist
+lab: fai-lab
+links:
+  home-page: https://www.rubengonzalez.ai/
+  linkedin: rubén-gonzález-sendino
+  github: rugonzs
+  google-scholar: https://scholar.google.com/citations?hl=ca&tzom=-120&user=-QHSQJoAAAAJ
+  email: [email protected]
+  orcid: 0000-0002-0283-6739
+---
+
+# Ruben Gonzalez
+
+Ruben is a Senior Data Scientist at Ericsson Cognitive Software Engineering working in MLOps and Deep Learning Forecasting. He is an expert in data mining techniques.
+He knows the last techniques of data treatment using Python, Spark or R and the last steps of Knowledge discovery using machine learning algorithm like neuronal network, decision tree or Bayesian network.
+Furthermore, he knows data warehouse using SQL server. Moroever, He knows NoSQL databases like MongoDB or Casandra.
+He knows programming language, especially Java, but I have the availability to program in Python, Visual Basic, Visual Basic .NET, C++, C and C#.

_members/sharath-x.md

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+---
+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
+links:
+  email: [email protected]
+---
+
+# Sharath X
+
+Sharath has been a researcher and data scientist with around 10 years experience in the fields of Machine Learning, Deep Learning, Computer Vision. He has a master’s degree from the Indian Institute of Technology, Madras (IIT-Madras) wherein he was also collaborating with an R&D organization called Healthcare Technology Research Centre (HTIC) and was involved in research in the fields of Computational Photography and Medical Image Analysis. He has around 8 US patent applications of which 3 have been granted and have several publications in top international ML conferences and journals (such as ICML, ICDM, ISBI, MEDIA, IEEE-TMI, JBHI etc) and has more than 1000 citations according to Google Scholar. He was selected for the 2022 cohort of summer school on ML in Finance at Oxford University. Currently he is working at Ericsson as a Senior Data Scientist and solving various Telecom Network problems using ML, NLP, Generative AI. Previously, he was remotely working for a startup in Croatia which had banks as its major customers and was building applications involving fraudulent transaction prediction, churn prediction etc. Prior to that, he was a founding Data Scientist at an Zasti, IIT-M incubated startup wherein he spearheaded the development of various ML based solutions primarily in the healthcare sector. He has won top places in international and national competitions and hackathons. He was also a junior research fellow at the premier research university- the Indian Institute of Science (IISc), working in the fields of Medical Imaging and Image Processing.

_members/veera.md

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+---
+name: Chikka Veera
+image: images/members/gai-lab/veera.jpeg
+role: scientist
+lab: gai-lab
+links:
+  email: [email protected]
+---
+
+The best one when it comes to the connection between Radio and AI.

_members/ziad-osman.md

@@ -0,0 +1,15 @@
+---
+name: Ziad Osman
+image: images/members/mlr-lab/ziad.jpg
+role: scientist
+description: Head of MLR Lab
+lab: mlr-lab, board
+links:
+  linkedin: ziad-osman-77920398
+  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.
+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.