Cutting-Edge, Cross-Disciplinary Research
The laboratory stands out for its lasting relationships with industrial partners through its research chairs and joint laboratories.
Within Paris-Saclay, the LTCI is strongly involved in the Digicosme and LMH Labex, as well as in the System X technological research institute and the ISN, NanoDesign, CDS and PIM projects.
The LTCI is accredited for the quality of its partnership-based research as part of Institut Carnot Télécom & Société Numérique. The LTCI also has close ties with the I3 laboratory (Interdisciplinary Institute for Innovation), which brings together the economic and social sciences research projects carried out at Télécom Paris.
LTCI Key figures
Academic recognition
In 2018, the High Council for Evaluation of Research and Higher Education (Hcéres), evaluated the LTCI as “being exceptional in quality with publications in the best journals and conferences”.
Research teams
- Autonomous Critical Embedded Systems [ACES]
- Circuits & Communications Systems [C2S]
- Cybersecurity for Communication and Networking [CCN]
- Data, Intelligence, Graphs [DIG]
- Design Interaction Visualization and Applications [DIVA]
- Digital Communications [ComNum]
- Image, Modeling, Analysis, Geometry, Synthesis [IMAGES]
- Mathematics for Information, Communication and Computing [MC2]
- Multimedia [MM]
- Networks, Mobility and Services [RMS]
- Optical Telecommunications [GTO]
- Quantum Information and Applications [IQA]
- Radio Frequency and Microwaves [RFM²]
- Secure and Safe Hardware [SSH]
- Signal, Statistics and Learning [S2A]
- System on Chip [LabSoc]
Seminars
The LTCI Laboratory regularly organizes seminars that cut across several disciplines.
Annals of Telecommunications
Annals of Telecommunications, founded in 1946, is an international
journal publishing original peer-reviewed papers in the field of telecommunications. It is indexed in Scopus and Thomson Reuters, which has set an impact factor of 1.546 for 2019. The Journal covers all the essential branches of telecommunications from technologies (SOC devices, optical communication, microwaves and antennas, IOT) to digital communications and signal processing (information theory, coding, MIMO), software and protocols (communication networks, digital security, services) and uses and economics (health, mobility, trust, privacy, legal and regulation issues). It provides a medium for exchanging research results and technological achievements accomplished by the international scientific community from academia and industry.
Director of the LTCI
- Talel AbdessalemDirector of Research and Director of the LTCITélécom Parisemailemail
Latest news
Ghaya Rekaya wins a Women TechEU grant!
Faculty Members, Start-up — 22/11/2024This prestigious recognition highlights Ghaya and Mimopt Technology's commitment to a more diverse and inclusive technology [...]"Top 2%": our faculty members among them
Faculty Members — 26/09/2024This ranking of excellence drawn up by Stanford features more than 210,000 researchers out of more than 8 million active scientists [...][Ideas] Securing AI: issues, challenges, solutions
PhD, Digital Trust, Data Science & AI — 20/09/2024Katarzyna Kapusta: What are the challenges, threats and innovative solutions for securing AI?The first Student Research Workshop in Vietnam, a resounding success!
PhD, Masters, International Partnerships — 16/09/2024The first Student Research Workshop was organized at VIASM in September 2024, by Minh Ha [...]EDS 2024: ELLIS Doctoral Symposium on Machine Learning Research
Data Science & AI — 03/09/2024Focusing on AI & Sustainability, it was held on August 26-30, 2024. It gathered PhD students to present and [...]Please, Listen to This! A direct sound experience in an urban environment
Engineers — 22/07/2024The project is inspired by the launch of Sony's first Walkman in 1979, and aims to recreate a similar [...][Ideas] Intelligent wind turbines for optimised energy production
PhD, Very Large Networks and Systems — 10/06/2024Elie Kadoche: How reinforcement learning enables wind turbines to orientate themselves with the [...][Ideas] Hybrid, explainable AI for medical imaging
Data Science & AI, Faculty Members — 07/06/2024Isabelle Bloch: Hybrid, explainable AI combines knowledge-based approaches with data-driven learning methods.Manvi Agarwal 2nd place in the 3-Minute Thesis® Competition
PhD — 06/06/2024She took part alongside five other doctoral students from Université Paris Saclay, Télécom Paris, and Université Clermont [...]