EAP Lab UC3M (@EAPLAB_UC3M) profile picture

Experimental Aerodynamics and Propulsion laboratory of Universidad Carlos III de Madrid.

Leganés (Spain)
Joined August 2021
Photo by EAP Lab UC3M (@EAPLAB_UC3M)Photo by EAP Lab UC3M (@EAPLAB_UC3M)Photo by EAP Lab UC3M (@EAPLAB_UC3M)Photo by EAP Lab UC3M (@EAPLAB_UC3M)Photo by EAP Lab UC3M (@EAPLAB_UC3M)Photo by EAP Lab UC3M (@EAPLAB_UC3M)Photo by EAP Lab UC3M (@EAPLAB_UC3M)Photo by EAP Lab UC3M (@EAPLAB_UC3M)Photo by EAP Lab UC3M (@EAPLAB_UC3M)Photo by EAP Lab UC3M (@EAPLAB_UC3M)
🤩 #Welcome to the team Ignacio Andreu! Ignacio just joined us as an Assistant Professor. He will research unsteady aerodynamics phenomena applied to renewable energy ♻ and the naval industry 🛳 ✨Looking forward to his contributions and the research results that lie ahead!
113
We are taking this year's edition of the European Researchers' Night by storm! 🧐Are you curious about what we do and how we do it? We invite you to get to know our research through 5 activities in Madrid 🧵👇 Remember to book your place‼️
1
1
2
143
𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗶𝗻 𝘁𝘂𝗿𝗯𝘂𝗹𝗲𝗻𝗰𝗲: 𝘀𝗲𝗰𝗿𝗲𝘁𝘀 𝗯𝗲𝗵𝗶𝗻𝗱 𝗱𝗮𝘁𝗮. From facial recognition to turbulence visualization, datasets hide patterns 📅27/09, 19:00-20:00 🗺-1.A.01, Puerta de Toledo Campus A.Rodríguez P.Moreno t.ly/RqbXO
1
51
𝗛𝗼𝘄 𝘁𝗼 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗮 𝗙𝗼𝗿𝗺𝘂𝗹𝗮𝟭 𝗼𝗿 𝗮𝗶𝗿𝗽𝗹𝗮𝗻𝗲 𝘄𝗶𝘁𝗵 𝗵𝗲𝗹𝗶𝘂𝗺 𝗯𝘂𝗯𝗯𝗹𝗲𝘀 𝗮𝗻𝗱 𝗔𝗜. Visualize aerodynamic flows with bubbles & LED lights! 📅27/09, 18:00-19:00 🗺7.0.H03, Leganés Campus I.Tirelli🤝INTA collaborators t.ly/8Q3BH
52
Check out our latest Open Access work! 👇
How does insufficient info availablity impact the 3D GANS reconstruction accuracy?🤨 We challenged the 3D-GAN we recently introduced, to reconstruct the 3D flow field with fewer sensors from different sensor arrangements. Our results in our lastest paper t.ly/9T1eo🔓
74
🤩 Thrilled to welcome Tani Angiero, PhD student at @PhDAeroUC3M, to our lab! She aims to optimize indoor climate in healthcare facilities to enhance patient & staff well-being, supervised by @StefanoDiscetti and @andreaianiro1 . Funded by @human_ic
2
2
1
6
342
Generative adversarial networks offer more accurate estimations and better perceptual quality. Can they be employed to reconstruct an entire 3D field? 🤔 We explore this question in our new #OpenAccess paper👉t.ly/Hf8cH, a collaboration with @ricardovinuesa
1
7
1
13
1,077
🎉New journal contribution from the EAP Lab, in the framework of the NEXTFLOW project, funded by @ERC_Research. Check it out 👇
Generative adversarial networks offer more accurate estimations and better perceptual quality. Can they be employed to reconstruct an entire 3D field? 🤔 We explore this question in our new #OpenAccess paper👉t.ly/Hf8cH, a collaboration with @ricardovinuesa
93
The Doctoral Meetings 2024 are just around the corner! The perfect opportunity to find out what our doctoral students are working on. We look forward to seeing you at: ⬇ Salón de Grados (Leganés) 📅 20th, 22nd, 24th & 30th of May 2024 ⏰ 10:00 - 15:00 🔗uc3m-phd-aerospace.es/2024/0…
6
1
6
667
📢Welcome onboard Pablo Moreno! 💡Pablo will model turbulent flow control & apply machine learning methods to distill models for controlled flows dynamics. He aims to establish & execute techniques for identifying reduced-order models derived from experimental measurements.
1
150
Do you want to #JoinUs? We have an open #PhdPosition in our group! Check the details out 👇
📢 We are hiring! We are looking for aerospace or related engineers for the experimental study and development of reduced models for complex flows in hospital environments. If you are interested please visit our website for more information 🔗uc3m-phd-aerospace.es/2024/0…
5
191
📢 New publication from our lab, in the framework of the @ERC_NEXTFLOW project in collabioration with F. Gu, Y. Liu, Z. Cao & D. Peng of @sjtu1896. To read👉t.ly/plp7v Funded by: @ERC_Research
Denoising image data overwhelmed by noise is challenging. How do you handle it with machine learning if you don’t have clean “target” images to learn a mapping from noisy to clean data? We propose a denoising blind autoencoder in our #NewPaper: t.ly/plp7v #OpenAccess
1
1
187
Denoising image data overwhelmed by noise is challenging. How do you handle it with machine learning if you don’t have clean “target” images to learn a mapping from noisy to clean data? We propose a denoising blind autoencoder in our #NewPaper: t.ly/plp7v #OpenAccess
1
1
1
340
📢 We are so happy to see the interest in our activity for this year’s STEM FOR GIRLS UC3M workshops! 💡We did a beautiful flow visualization experiment in our water tunnel. 🤝AliciaRodriguez, @_Luigi_Marra_, @juanchoalfaro01 Supported by @ComunidadMadrid and @uc3m
3
8
234
📢 Registrations are now OPEN for our Colloquium! ⏱️ Early-bird fees apply until February 12th. 🗓️ Registration period closes on March 11th. Register👉t.ly/Y7kKV Looking forward to seeing you all in Madrid on March 18-20! #FlowControl #HeatTransfer #FluidDynamics
2
3
232
Ready for your next academic & research steps? The Spanish FPU PhD scholarships have been announced🎓 If you are interested in joining our group, contact us at [email protected]. We can't wait to meet you! 🗓️ Applications: Jan 17-Feb 15 💡 More info👇 #phdscholarship #joinus
🌟 Exciting Opportunity Alert! 🌟FPU 2023 Doctoral Scholarships: 🎓Pre-doctoral contracts for theses at Spanish Universities. Enhance research skills and gain teaching expertise. 🗓️ Application Deadline: January 17, 2024, to February 15, 2024. uc3m-phd-aerospace.es/2024/0…
1
164
📢Excited for our new #publication "Complete flow characterization from snapshot PIV, fast probes and physics-informed neural networks"! 🖋️by Álvaro Moreno, Alejandro Güemes, @StefanoDiscetti & funded by @ERC_Research Main points 👇🧵
1
3
14
774