![[Ideas] Intelligent wind turbines for optimised energy production @TelecomParisTech1](https://i.ytimg.com/vi/d65dNYuDnT0/maxresdefault.jpg)
Uploaded October 2024 | Updated September 2026, 1 week ago
Elie Kadoche, PhD candidate at the Information Processing and Communication Laboratory at Télécom Paris, talks to us about digital technology serving the energy transition, and more specifically about the subject of his thesis on intelligent wind turbines for optimised energy production.
He was able to sum it up in three minutes, winning 3rd prize from the jury of the French national "My thesis in 180 seconds" competition, out of 16 finalists. He had previously won the IP Paris regional final.
He is working on control algorithms for optimising large wind farms.
In this video, he explains how the use and development of a reinforcement learning method enables wind turbines to orientate themselves in relation to the wind.
Elie Kadoche, PhD candidate at the Information Processing and Communication Laboratory at Télécom Paris, talks to us about digital technology serving the energy transition, and more specifically about the subject of his thesis on intelligent wind turbines for optimised energy production.
He was able to sum it up in three minutes, winning 3rd prize from the jury of the French national "My thesis in 180 seconds" competition, out of 16 finalists. He had previously won the IP Paris regional final.
He is working on control algorithms for optimising large wind farms.
In this video, he explains how the use and development of a reinforcement learning method enables wind turbines to orientate themselves in relation to the wind.
![[Ideas] Intelligent wind turbines for optimised energy production](https://i.ytimg.com/vi/d65dNYuDnT0/mqdefault.jpg "[Ideas] Intelligent wind turbines for optimised energy production
Elie Kadoche, PhD candidate at the Information Processing and Communication Laboratory at Télécom Paris, talks to us about digital technology serving the energy transition, and more specifically about the subject of his thesis on intelligent wind turbines for optimised energy production.
He was able to sum it up in three minutes, winning 3rd prize from the jury of the French national My thesis in 180 seconds competition, out of 16 finalists. He had previously won the IP Paris regional final.
He is working on control algorithms for optimising large wind farms.
In this video, he explains how the use and development of a reinforcement learning method enables wind turbines to orientate themselves in relation to the wind.")
![[Ideas] Innovation in chaotic encryption of infrared optical communications](https://i.ytimg.com/vi/dpWsWem47zU/mqdefault.jpg "[Ideas] Innovation in chaotic encryption of infrared optical communications
In spring 2024, a research team from the LTCI laboratory at Télécom Paris, led by Télécom Paris, took up the challenge of free-space optical transmission security by demonstrating a chaos-based encryption method, and proved the applicability of this system over a distance of 30 metres in the far infrared.
The team demonstrated private optical communication in free space based on chaos synchronisation in one of the atmospheres transparency windows. The chaotic light generated by a long-wave infrared quantum cascade laser is used to conceal the transmitted message, which is then decrypted using a double quantum cascade laser, thus guaranteeing greater confidentiality. This approach has an impact on the development of private transmissions in free space beyond conventional telecommunications networks.
Sara Zaminga, a doctoral student at Télécom Paris, and Frédéric Grillot present this chaos-based encryption method.")
![[Ideas] Human-machine interaction in the ChatGPT era](https://i.ytimg.com/vi/g9eb8G9gyg4/mqdefault.jpg "[Ideas] Human-machine interaction in the ChatGPT era
At a time when generative AI is also affecting the way we converse with humans, Damien Rudaz, a doctoral student at Télécom Paris, talks to us about his research into human-robot interactions and their evaluation.
This is the subject of his thesis, which he conducted at Aldebaran Robotics, the company that created the world-famous Pepper and Nao robots.")
![[Ideas] Hybrid, explainable AI for medical imaging](https://i.ytimg.com/vi/gJL1rnXlUN4/mqdefault.jpg "[Ideas] Hybrid, explainable AI for medical imaging
Isabelle Bloch, professor at Télécom Paris and a specialist in mathematical modelling for artificial intelligence, talks to us about her research into hybrid and explainable AI, which combines knowledge-based approaches with data-based learning methods.
- Hybridization: towards systems that work with limited and more explicable data
- Segmentation and recognition in medical imaging")
![[Télécom Paris Ideas] Quantum technologies #1: the challenge of scaling up](https://i.ytimg.com/vi/gN8-Nfzk0TY/mqdefault.jpg "[Télécom Paris Ideas] Quantum technologies #1: the challenge of scaling up
With Romain Alléaume, professor at Télécom Paris: the new frontier of quantum computing is the transition to scale that makes industrial applications possible.")
![[Télécom Paris Ideas] AI applied to medical imaging #2: enhancing AI performance with limited data](https://i.ytimg.com/vi/gTTi2qEJZd8/mqdefault.jpg "[Télécom Paris Ideas] AI applied to medical imaging #2: enhancing AI performance with limited data
With Pietro Gori, associate professor in AI and medical imaging at Télécom Paris.
What promise does artificial intelligence hold for the processing of medical imaging? There is a huge amount at stake when it comes to accessing data, training AI algorithms and making progress in identifying and researching diseases.")
