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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 speech processing and Natural Language Processing applied to conversational assistant as well as social BPM. 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!
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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
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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.
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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.
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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.
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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.
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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
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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”.
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Guokan SHANG
Research Engineer
Expertise areas: Natural Language Processing and Machine Learning.
Summary
Guokan joined LINAGORA in December 2016, in the framework of French CIFRE fellowships, as a Research Engineer undertaking his PhD research in collaboration with École Polytechnique. His interests overspan all aspects of Machine Learning and its applications. In particular, his research deals with the challenging NLP task of supervised/unsupervised traditional/neural-based extractive/abstractive Meeting Summarization.
Main achievements, projects and publications
Shang, G., Ding, W., Zhang, Z., Tixier, A. J. P., Meladianos, P., Vazirgiannis, M., & Lorré, J. P. (2018). Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization. arXiv preprint arXiv:1805.05271.
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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.
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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
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Amine KHIARI
Research Engineer
Expertise areas: Machine learning, deep learning algorithms, natural language processing, speech recognition.
Summary
Amine holds a Master's degree in artificial intelligence from Paul Sabatier University. He joined Linagora on January 2018. Before that he has interned at Xerox research center ( now Naver labs Europe) where he worked on natural language processing and probabilistic machine learning models. He also worked at Capgemini as a software engineer on big data systems ( Hadoop, spark...). Currently, his main interest lies in applying deep learning algorithms to speech and textual data.
Projects
LinTo project: Currently he is mostly working on the french speech recognition engine of Linto.
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Manon CASSIER
Internship
Expertise areas: Natural Language Processing, General Linguistics, Knowledge Extraction, Cognitive Ergonomics, Data Mining.
Summary
Manon Cassier joined Linagora’s R&D team in early 2018 in order to obtain a Master’s degree in Natural Language Processing at Jean Jaurès University, bringing her linguistic expertise to the team.
Projects
OpenPaaS::NG project: She is currently working on a smart-reply module to integrate with the Openpaas::NG mailbox.
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Antoine CHONÉ
Internship
Expertise areas: Embedded Software, Real Time System, Signal Processing, Electronics Knowledge, IoT.
Summary
Antoine CHONÉ joined Linagora's R&D team in April 2018 during his last year internship as part of Computer Science Master degree in Télécom Nancy, embedded software specialty. He reinforced the team activities related to the software development of LinTO product.
Projects
Developing software solutions for LinTO project.
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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