jpl
Jean Pierre LORRE
Research Director
Expertise areas: Artificial Intelligence, Machine Learning, Deep Learning, Speech processing, Distributed Cloud Architecture, Free and Open-Source models. Partnership building, Team management
Summary
Jean-Pierre Lorré (Mr) has built a strong team of PhD and engineers experts over the years, with more than twenty French and European research projects successfully finished at this day. Main research domains deal with Artificial Intelligence, Automatic Speech Recognition, Natural Language Processing as well as distributed software architechture and open-source models. Its responsabilites include European and French funded collaborative projects proposal as well as research team management.
Main achievements, projects and publications
Just browse research.linagora.com!
szr
Dr. Sarah ZRIBI
Research engineer
Expertise areas: SOA, SOA Governance, BPM, NFR, BPMN, Model Transformation, Interoperability, Collaborative Process, Information System, SLA, MDA, SoaML, Java
Summary
Sarah Zribi integrated the Research Team in October 2010 as a R&D Engineer in Computer Science and a Ph.D Student in Industrial Engineering -at both Linagora and Ecole des Mines d'Albi-Carmaux-. She is specialized in SOA, SOA Governance, BPM, Modelling (UML, SoaML, BPMN, etc.), MDA and Model Transformation. She also participates in Nationally and European projects. Currently, she participates in the CHOReOS FP7 project and works in the implementation of tools for SOA Governance.
Main achievements, projects and publications
Sarah Zribi, Frédérick Bénaben, Jean-Pierre Lorré, Hervé Pingaud: Enhancing Services Selection by using Non-Functional Properties wthin BPMN in SOA Context. PRO-VE 2013 (Accepted)
Julien Lesbegueries, Amira Ben Hamida, Nicolas Salatge, Sarah Zribi, Jean-Pierre Lorré: Multilevel event-based monitoring framework for the petals enterprise service bus: industry article. DEBS 2012: 48-57
Sarah Zribi, Frédérick Bénaben, Amira Ben Hamida, Jean-Pierre Lorré: Towards a Service and Choreography Governance Framework for Future Internet. I-ESA 2012: 281-291
jhu3
Dr. Julie HUNTER
Research engineer
Expertise areas: Formal semantics and pragmatics, Discourse and dialogue, NLP
Summary
Julie joined LINAGORA's research and development team in January 2018 as a researcher in linguistics. She received her Ph.D. in 2010 from the University of Texas at Austin and held post-doc positions in Paris, Toulouse, and Barcelona before coming to LINAGORA. Her research centers around using spoken and written corpora to develop models of human conversation and in particular, of how the interpretation of what we say is influenced by context, both linguistic and nonlinguistic.
Main achievements, projects and publications
Julie is currently working on developing models of multiparty spoken conversation as a part of the LinTO project. For a list of her publications and presentations, see her personal website: www.juliejhunter.com
kth2
Kate Thompson
Research engineer
Expertise areas: Natural Language Processing, Machine Learning, Node JS
Summary
Kate Thompson has worked as a data engineer and data scientist in both academic and industrial settings. After working with the MELODI team at IRIT on the Strategic Conversation (STAC https://www.irit.fr/STAC/index.html) project, Kate joined LINAGORA as a research engineer in October 2019. She is currently working on the design and development of the LinTO Conversation Manager.
Main achievements, projects and publications
Weak supervision for learning discourse structure, Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing – EMNLP-IJCNLP 2019 https://www.aclweb.org/anthology/D19-1234/
Data Programming for Learning Discourse Structure, Association for Computational Linguistics (ACL) 2019 https://www.aclweb.org/anthology/P19-1061/
yho
Yoann HOUPERT
Research Engineer
Expertise areas: Web services, Development, AngularJs, Ionic, Android, Java, JavaScript, Node, BpmnJs, Activiti, Docker
Summary
Houpert Yoann join Linagora on June 2014 as a R&D Engineer in Computer Science. He obtain a master degree in Computer Sciences at Paul Sabatier University in Toulouse.
Projects
gSafe project: he was working on the backend part as well as the user frontend with new technologies such as AngularJS or Ionic.
C2Net project: he integrates a BPMN editor with OpenPaas as a module. This editor was able to execute itself with a personalised Activity Server for the C2Net project.
Hublot project: he is working on the integration with Hubl.in, LinStt and recommendation. Hublot works as an orchestrator of all the modules.
ybe
Dr. Yazid BENAZZOUZ
Research Engineer
Expertise areas: Internet of things, autonomic computing, knowledge discovery
Summary
Dr Yazid Benazzouz received his PHD in 2011 in computer science from National Graduate Engineering School of Saint-Etienne (EMSE). Since December 2015, he has held the position of research engineer at Linagora (Toulouse) and he became a regular contributor to the C2NET European project. Previously, he was involved in several European projects such as OUTSMART, MIDAS, BUTLER and CLOUT. He has also participated to the french project BlueSky.
Main achievements, projects and publications
a patent, several papers and book chapters.
sam
Sami BENHAMICHE
Research Engineer
Expertise areas: Automatic Speech Recognition, Speech processing, Machine Learning, Signal Processing, AngularJs, Node.
Summary
Sami Benhamiche integrated the Linagora's Research Team in May 2016, he gratuated in Artificial Intelligence, Pattern Recognition and Robotics from Paul Sabatier University in Toulouse.
Projects and Products
OpenPaaS::NG project: he participates in the SP5 subproject of the OpenPaaS::NG project which allowed him to apply his knowledge of natural language and speech processing.
Hublot product: he worked on the Hublot bot that is able to connect to Hubl.in as a user in order to transcribe, recommend and summarize a video conference meeting.
Hubl.in product: he worked on the scalability of the open source video conference tool Hubl.in.
LinTo project: currently, he participates in the generation of the langage models of Linto.
zied
Dr. Zied SELLAMI
Research Engineer
Expertise areas: Ontology, Knowledge extraction from text, NLP, Machine Learning.
Summary
Zied joined Linagora on September 2016. He obtained a PhD in Artificial Intelligence at the Toulouse University in 2011. Before integrating Linagora, Zied worked at university as PostDoc and after in an industry. His main expertise areas focus on knowledge engineering from text. This concerns building and using ontology, knowledge extraction from text, NLP and machine learning.
Main achievements, projects and publications
Patent : (1) http://bases-brevets.inpi.fr/fr/document/FR3015073.html (2) http://www.freepatentsonline.com/20150170040.pdf.
Many conferences and journal papers :(1) www.irit.fr/-Publications-?.code=4880&nom=Zied%2520Sellami (2) dblp.uni-trier.de/pers/hd/s/Sellami:Zied.
abd
Abdelwahab HEBA
Research Engineer
Expertise areas: Large Vocabulary Speech Recognition task, Speech Processing, BeamForming, Machine Learning, Deep Learning & Sequence modeling, Robust Automatic Speech Recognition, Combinatorial Optimization.
Summary
Experienced Machine Learning Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Brain-computer Interfaces, Computer Science, Cognitive Science, Speech Processing, and Natural Language Processing. Strong engineering professional focused in Artificial Intelligence and Machine Learning from Toulouse Institute of Computer Science Research - France.
Main achievements, projects and publications
son
Sonia BADENE
Research Engineer
Expertise areas: Automatic Speech Recognition, NLP/NLU, Machine Learning, Signal Processing, Linguistics.
Summary
Sonia BADENE is presently a phD student in collaboration with Linagora and Toulouse Institute of Computer Science Research. Her research focuses on finding fundamental representations of discourse, mostly interpretable, which are useful for NLP applications, especially machine understanding. Prior to the phD, she was a Linagora apprenticeship student while studying AI and Robotics at the University of Toulouse. Apart from language, she loves nature and swiming.
Main achievements, projects and publications
Development of a configurable toolkit on Kaldi of comprehensive logging for Mixed Language Models for Improved French Conversational Speech Recognition.
Text Normalization on conversational French corpora.
Participating to Kaggle’s competition “San Francisco Crime Classification”.




rud
Rudy BARAGLIA
Traineeship
Expertise areas: Artificial Intelligence, Machine Learning, Signal Processing, Speech Processing, Natural Langage Processing.
Summary
Rudy BARAGLIA joined Linagora's R&D team in 2017 during his last year of -Artificial Intelligence, Pattern Recognition and Robotic- Master degree at Paul Sabatier University. He reinforced the team activities related to natural language processing and signal processing.
Projects
Actively developing solutions for the OpenPaaS::NG and Linto projects.
ami
Damien LAINÉ
Research Engineer
Expertise areas: Strategic management of innovation projects, Linux, cloud computing, DevSecOps, Performance Tuning, Software engineering focused on cloud microservices, client/servers applications and the Internet of Things, Hardware mockup and industrialisation.
Summary
Following a number of years of software engineering, technical lead in IoT startups and consulting, Damien Lainé joined LINAGORA’s in february 2018 as R&D team’s Engineering Manager.
Projects
LinTo & OpenPaaS::NG
ily
Ilyes REBAI
Research Engineer
Expertise areas: Machine Learning, Deep Learning, Speech Recognition, Spoken Term Detection.
Summary
Ilyes Rebai joined Linagora as a R&D Engineer in April 2018. He received the master degree in computer science at the University of Computer Science and Multimedia of Sfax, Tunisia, in 2013. Currently, he is a Ph.D. student in the final year at Sfax university. His main research interests fall under the domain of automatic speech processing, particularly machine learning, speech recognition, and spoken term detection.
Main achievements, projects and publications
Several conferences and journal papers : http://dblp.uni-trier.de/pers/hd/r/Rebai:Ilyes