DataLearning working group

DataLearning

 

DataLearning is an interdisciplinary working group of researchers and students developing new technologies based on Data Assimilation and Machine Learning. DataLearning came out of the idea to couple and integrate Data Assimilation with Machine Learning technologies in order to exploit the best features of both.


The group fosters effective communication between scientists coming from different scientific disciplines and departments at Imperial College London and other institutions. DataLearning focuses on discussion and activity about Data Assimilation with/and/or Machine Learning. It is important for each scientist to learn about achievements of colleagues to tackle complex scientific problems.

In addition to regular meetings, we organise scientific seminars and workshops, where both experienced scientists and early stage researchers with different backgrounds will share their ideas and coordinate their efforts on relevant subjects. The exchange scheme welcomes students at all levels. Arrangements will be made for joint supervision of MSc and PhD students by the collaborating supervisors.

 Group Meetings
For information on future meetings visit: https://sites.google.com/DataLearning

Group Leader
Dr Rossella Arcucci (DSI, ICL) 

Co-Organisers
Dr César A Quilodran Casas
Philip Nadler

 

DataLearning
DataLearning Group:

Researchers
PhD ResearchersPostgraduate StudentsAlumni
 Dr Anna K Schroeder (University of Cambridge, UK) Alex Harston (Bioengineering, ICL)  Jamal Afzali (Computing, ICL)   Adrian Lowenstein (Computing, ICL)
 Dr Asiri Obeysekara (Chemical Engineering,ICL) Alvaro Arroyo Nunez (Electrical and Electronic Engineering, ICL)  JD Pizzutti (LSE, UK)  Edward M Lim (Computing, ICL)
 Dr Boumediene Hamzi (Maths, ICL) Benjamin J Scharpf (Computing, ICL)  Lingjun Liu (Computing, ICL)  Gabor Tajnafoi (Computing, ICL)
 Dr Claire Heaney (Earth Science & Engineering, ICL)  Calum Pennington (Life Science, ICL)  Julian Mack (Computing, ICL)  Lamya Moutiq (Centrale Marseille, France)
 Dr Evelyn Heylen (EEE, ICL) Caterina Buizza (EEE, ICL)  Maddalena Amendola (University of Pisa, Italy)  Tolga Dur (Computing, ICL)
Evgeny Dyshlyuk (Earth Science, ICL) Clémence Le Cornec (Civil and Environmental Engineering , ICL)  Maxime Redstone Leclerc (Computing, ICL)   Xiaonan Chong (Computing, ICL)
 Dr Fangxin Fang (Earth Science & Engineering, ICL) Jingqing Zhang (DSI, ICL)   Pratha Khandelwal (Computing, ICL)  
 Dr James A Scott-Brown (Oxford University)  Jemimah-Sandra Samuel (Earth Science & Engineering, ICL)  Robin Hendrickx (Computing, ICL)  
 Jemimah-Sandra Samuel (Earth Science & Engineering, ICL) Lluis Via-Estrem (Earth Science & Engineering, ICL)    
 Dr Julio Amador Díaz López (DSI, ICL) Luis Baca Ruiz (DECSAI, University of Granada, Spain)    
  Dr Julio Perez Olvera (Electrical and Electronic Engineering, ICL) Mihai Suteu (DSI, ICL)    
Dr Kezhi Li (Electrical and Electronic Engineering, ICL) Mohammad Maccido Usman (Earth Science & Engineering, ICL)    
 Dr Luke M Phillipson (Physics, ICL) Pablo Ortega San Miguel (Computing, ICL)    
  Dr Miguel Molina Solana (University of Granada, Spain) Pan Wang (DSI, ICL)    
Miguel Xochicale (King's College London, UK)  Robin Evers (Math, ICL)  
  Dr Ovidiu Serban (DSI, ICL) Stefano Marrone (University of Naples Federico II, Italy)    
Dr Pablo Salinas (Earth Science & Engineering, ICL) Vinicius L S Silva (Earth Science & Engineering, ICL)    
 Dr Sesh Kumar (DSI, ICL) Zainab Titus (Earth Science & Engineering, ICL)    
 Dr Silvia Muceli (Chalmers University of Technology, Sweden)      
Dr Yuan Luo (Computing, ICL)      
Zainab Titus (Earth Science & Engineering, ICL)      
       
The DataLearning Group meet weekly in the DSI

Workshops

The 3rd MLDADS 2021 workshop,  part of the International Conference on Computational Science (ICCS), will be held in Kraków, Poland, from the 16th-18th June 2021. Join us!!!  The call for papers is open until 18th December, for further information and  how to register please visit : https://sites.google.com/view/rossella-arcucci/home/third-edition-machine-learning-and-data-assimilation-for-dynamical-systems

Due to COVID-19 the 2nd MLDADS 2020 workshop, part of the International Conference on Computational Science (ICCS) to be held in Amsterdam 3-5 June 2020 has been cancelled. After some consideration, and due to the different time zones of all the speakers worldwide, it was decided to arrange a recorded version of the workshop. You can view the recorded version of the  2nd MLDADS 2020 workshop on YouTube: https://youtu.be/DZlNe9bfFK0 . 

The 1st MLDADS workshop was part of the International Conference on Computational Science (ICCS)
held in Faro, Portugal 12-14 June 2019. For further information    

 MLDADS

Selected Groups

DataLearning

DataLearning

DataLearning is an interdisciplinary working group of researchers and students developing new technologies based on Data Assimilation and Machine Learning. DataLearning came out of the idea to couple and integrate Data Assimilation with Machine Learning technologies in order to exploit the best features of both.


The group fosters effective communication between scientists coming from different scientific disciplines at Departments at Imperial College London or at other institutions. DataLearning focuses on discussion and activity about Data Assimilation with/and/or Machine Learning. It is considered extremely important to acquaint each scientist with the achievements of others to offer new complementary possibilities to resolve complex scientific problems.


In addition to the regular meetings, we organise a number of scientific seminars and workshops, where the experienced and young scientists with different backgrounds will share their ideas and coordinate their efforts on studying particularly important subjects. The exchange scheme involves a large number of young scientists. Arrangements will be made for joint supervision of MSc and PhD students by the collaborating supervisors.

Organisers

 Dr Rossella Arcucci (DSI, ICL) 

DataLearning

Researchers involved

Dr César A Quilodran Casas (DSI, ICL)

Dr Fangxin Fang (Earth Science & Engineering, ICL)

Dr Boumediene Hamzi (Maths, ICL)

Dr Claire Heaney (Earth Science & Engineering, ICL)

Dr Kezhi Li (Electrical and Electronic Engineering, ICL)

Dr Julio Amador Díaz López (DSI, ICL)

Dr Silvia Muceli (Bioengineering, ICL)

Dr Luke M Phillipson (Physics, ICL)

Dr Pablo Salinas (Earth Science & Engineering, ICL)

Dr Miguel Molina Solana (DSI, ICL)

PhD Students

Clémence Le Cornec (Civil and Environmental Engineering , ICL)

Philip Nadler (DSI, ICL)

Zainab Titus (Earth Science & Engineering, ICL)

Pan Wang (DSI, ICL)

Jingqing Zhang (DSI, ICL)

 Students

Xiaonan Chong (Computing, ICL)

Tolga Dur (Computing, ICL)

Robin Evers (Math, ICL)

Edward M Lim (Computing, ICL)

Adrian Lowenstein (Computing, ICL)

Julian Mack (Computing, ICL)

Lamya Moutiq (Centrale Marseille)

Gabor Tajnafoi (Computing, ICL)

Group Meetings
For information on future meetings go to: https://sites.google.com/DataLearning

Workshops
The MLDADS workshop is part of the International Conference on Computational Science (ICCS)
to be held in Faro, Portugal 12-14 June 2019. For further information      

 MLDADS

Working Groups

To be announced