Exciting news! 🚀 Just wrapped up the International Workshop on Machine Learning in Astronomy (hybrid)

Just wrapped up the "International Workshop on Machine Learning in Astronomy (hybrid)," a collaborative effort by the National Center in Big Data and Cloud Computing at NED University, Karachi, Pakistan, along with our partners Department of Astronomy at Tsinghua University, Beijing, China, and the Radio Galaxy Zoo: EMU Citizen Science Collaboration.

A heartfelt thank you to our exceptional invited speakers for making the "International Workshop on Machine Learning in Astronomy (hybrid)" an enriching experience! 🌌 Your expertise and insights added immense value to the discussions. 🚀

🌟 Special thanks to:

Dr. Andreas Faisst, Infrared Processing and Analysis Center, Caltech, USA

Dr. Dario Colombo, Argelander-Institut für Astronomie, University of Bonn, Germany

Dr. Rafeel Riaz, Center for Research in Astronomy (CIA), Bernardo O'Higgins University, Chile

Dr. Richard Grumitt, Department of Astronomy, Tsinghua University, China

Dr. Nadeem Oozeer, Data Scientist, South African Radio Astronomy Observatory, South Africa

Dr. Eleni Vardoulaki, Radio Galaxy Zoo: EMU Citizen Science Collaboration, Germany

Dr. Hongming Tang, Radio Galaxy Zoo: EMU Citizen Science Collaboration, Tsinghua University, China

Dr. Faisal ur Rahman, SBASSE-Lahore University of Management Sciences, Pakistan

Ms. Xinyue Sheng, Radio Galaxy Zoo: EMU Citizen Science Collaboration, Queen’s University, UK

Ms. Jiani Chu, Department of Astronomy, Tsinghua University, China

Ms. Shiyu Yue, School of Physics and Astronomy, Sun Yat-sen University, China

Your contributions were instrumental in creating an atmosphere of shared learning and collaboration! 🌐🤝

🌍 The workshop garnered interest from 18 different countries, making it a truly global affair! 🌐 We're thrilled about the diversity and richness this brings to the discussions and shared experiences. A huge shoutout to all the fantastic participants! 🙌 It's heartening to receive wonderful remarks, and we're grateful for the positive feedback. 🌟 Looking forward to more collaborative ventures and continued exploration of the cosmos together! 🌌

A huge thank you to our dedicated volunteers who played a vital role in ensuring the success of 

#MachineLearning #AstronomyWorkshop #SpaceTech #STEMEducation #Astronomy #MachineLearning #DataScience #Astrophysics #RadioAstronomy #AstronomyWorkshop #FreeWorkshop #InternationalWorkshop #neduniversity #Karachi #Pakistan #China #RadioGalaxyZoo #TsinghuaUniversity 🌌🔭✨ 

Update: Registration Closed for International Workshop on Machine Learning in Astronomy (Hybrid)

We are thrilled to announce that the registration for the "International Workshop on Machine Learning in Astronomy (Hybrid)" has officially closed! We have received an overwhelming number of applications from enthusiastic individuals eager to participate both in person and online.

The response has been truly inspiring, and we would like to extend our heartfelt gratitude to everyone who expressed interest in this exciting event. The quality and diversity of the applications exceeded our expectations, showcasing the tremendous interest and commitment within the community.

For those who have submitted their applications, the shortlisting process is currently underway. We anticipate notifying the selected participants on November 20, 2023. Your patience during this process is greatly appreciated.

To give you a glimpse into the fascinating landscape of applications we received, we have compiled some interesting insights presented in the graphs below. These visuals offer a snapshot of the diverse backgrounds and interests of the applicants, adding to the anticipation of the dynamic discussions that lie ahead during the workshop.

Thank you once again for your overwhelming response, and we look forward to a fruitful and engaging International Workshop on Machine Learning in Astronomy.

Stay tuned for further updates!

Workshop website

Only 5 days left to secure your spot at the International Workshop on Machine Learning in Astronomy (Hybrid)!

 🌟 We're thrilled to unveil our stellar lineup of speakers:

Dr. Andreas Faisst, Infrared Processing and Analysis Center, Caltech, USA

Dr. Dario Colombo, Argelander-Institut für Astronomie, University of Bonn, Germany

Dr. Rafeel Riaz, Center for Research in Astronomy (CIA), Bernardo O'Higgins University, Chile

Dr. Richard Grumitt, Department of Astronomy, Tsinghua University, China

Dr. Nadeem Oozeer, Data Scientist, South African Radio Astronomy Observatory, South Africa

Dr. Eleni Vardoulaki, Radio Galaxy Zoo: EMU Citizen Science Collaboration, Germany

Dr. Hongming Tang, Radio Galaxy Zoo: EMU Citizen Science Collaboration, Tsinghua University, China

Prof. Dr. M. Ali Ismail, National Center in Big Data and Cloud Computing, NED University, Pakistan

Dr. Faisal ur Rahman, SBASSE-Lahore University of Management Sciences, Pakistan

Ms. Xinyue Sheng, Radio Galaxy Zoo: EMU Citizen Science Collaboration, Queen’s University, UK

Ms. Jiani Chu, Department of Astronomy, Tsinghua University, China

Ms. Shiyu Yue, School of Physics and Astronomy, Sun Yat-sen University, China

Mr. Uzair Abid, National Center in Big Data and Cloud Computing, NED University, Pakistan

Ms. Hira Fatima, The International Astronomical Union OAE NAEC Pakistan, Astronomers Without Borders NC Pakistan, National Center in Big Data and Cloud Computing, NED University, Pakistan

📅 Save the date! The shortlisted participants for the workshop will be announced on November 20, 2023. 

Don't miss out on this wonderful opportunity! For further details visit  and to register, fill out the form here.