AI/ML APPLICATIONS IN
ASTRONOMY & ASTROPHYSICS
JANUARY 6 - 10, 2025, IUCAA, INDIA
About The Event
- Basics of AI/ML techniques, ranging from “traditional” machine learning to deep learning
- Generative AI, Transformers, Diffusion, Natural Language Processing, Large Language Models and other impactful and emerging techniques
- ML applications across A&A
Registration Deadline: 10 October 2024
Scientific Organising Committee
- Ajit Kembhavi, IUCAA, Co – Chair
- Arif Babul, University of Victoria, Co – Chair
- Ashish Mahabal, Caltech
- Kanak Saha, IUCAA, Coordinator
- Ninan Sajeeth Philip, Airis4D and IUCAA
- Prateek Sharma, IISc
- T. Sivarani, IIA
- M. Vivek, IIA
- Yogesh Wadadekar, NCRA-TIFR
Local hospitality, including lodging and meals will be covered by the workshop as per IUCAA norms. Accommodation for invited participants will be provided in the IUCAA guest house, or in neighboring guest houses. Travel within India can be covered for a limited number of young researchers.
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For any queries please write email to - amaa@iucaa.in
Invited Speakers
Mark Allen
Strasbourg Astronomical Data Centre
Arif Babul
University of Victoria &anp; Indian Institute of Science
Arunima Banerjee
IISER, Tirupati
Anupam Bhardwaj
IUCAA, Pune
Federica Bianco
University of Delaware
Madhurima Choudhury
Brown University, USA
Rishita Das
Indian Institute of Science
Shravan Hansoge
Tata Institute of Fundamental Research
Deoyani Nandrekar-Heinis
NIST, USA
Ajit Kembhavi
IUCAA
Ofer Lahav
University College London
Ashish Mahabal
California Institute of Technology
Lucio Mayer
University of Zurich
Anupreeta More
IUCAA
Suvodip Mukherjee
Tata Institute of Fundamental Research
Brandon Panos
FHNW Switzerland
Joe Philip
Tata Institute of Fundamental Research
Ninan Sajeeth Philip
airis4D and IUCAA
T. Sivarani
IIA, Bengaluru
Alex Szalay
Johns Hopkins University
Vishal Upendran
LMSAL & BAERI - Palo Alto
Francisco Villaescusa-Navarro
Flatiron Institute, Princeton University
M. Vivek
Indian Institute of Astrophysics
Yogesh Wadadekar
National Centre for Radio Astrophysics
Kaustubh Waghmare
Persistent Systems, Pune
Event Schedule
Breakfast at Chittaranjan
Registration and Badge Collection
Welcome by the Organisers - Ajit Kembhavi and Arif Babul
Welcome speech by the Director, IUCAA
Morning Session, Chair: Arif Babul
AI/ML Overview with Astronomy Applications
Ajit Kembhavi
Generative AI and Astronomy
Ashish Mahabal
Tea Break
NLP techniques: Transformer architecture, attention mechanism, embeddings, etc. in the context of LLMs, SLMs, and LMMs
Ninan Sajeeth Philip
Writing astronomy codes with generative AI
Yogesh Wadadekar
Lunch at Chittaranjan
Afternoon Session, Chair: Deoyani Nandrekar-Heinis
Enabling LLMs to Reason Beyond Their Training Data
Kaustubh Waghmare
Hands-On 1, Writing astronomy codes with generative AI
Yogesh Wadadekar
Tea Break
Hands-On 2, Estimating Coronal temperatures using Bayesian Machine Learning
Nikita Balodhi
Hands-On 3, Leveraging Distance Metrics for Better Machine Learning
Siddharth Chaini
Snacks
Dinner at Chittaranjan
Breakfast at Chittaranjan
Morning Session, Chair: Ashish Mahabal
AI-ready data in Astrophysics
Alex Szalay
Progress and challenges for the use of AI in CDS services.
Mark Allen
Tea Break
NIST Data Management, Repository and AI techniques
Deoyani Nandrekar-Heinis
Recap and Insights Sharing on the last few talks
Lunch at Chittaranjan
Afternoon Session, Chair: Kanak Saha and Sudhanshu Barway
Morphological Classification of galaxies using Machine Learning
Arunima Banerjee
Discovery of anomalous rotators and new evolutionary phases in red giants using machine learning
Shravan Hansoge
A Study Of YSOs in the Perseus Molecular Cloud using ML Techniques
Priya Hasan
SpecPT: Spectroscopy Pre-trained Transformer model for Galaxy Spectra
Rohan Pattnaik
Identifying lopsidedness in galaxies using a Deep Convolutional Neural Network
Biju Saha
Tea Break
Hands-On 4, MargNet: Compact Galaxies
Atharva Bagul
Snacks
Dinner at Chittaranjan
Breakfast at Chittaranjan
Morning Session, Chair: Durgesh Tripathi
Viewing the Sun through a Machine Learning Lens
Brandon Panos
Applications and opportunities for AI in the new era of time-domain astronomy
Federica Bianco
Group Photo at Kund area
Tea Break
ML for exoplanets and instrumentation
Joe Philip
Automated classification of pulsating stars and their stellar parameters with machine learning
Anupam Bharadwaj
Lunch at Chittaranjan
Afternoon Session, Chair: Anupam Bharadwaj
Machine learning enhanced modeling of turbulent flow dynamics
Rishita Das
Spectroscopic Quasar Anomaly Detection
M. Vivek
From subtle to the vast: A multi-scale understanding of the Sun aided by artificial intelligence
Vishal Upendran
Tea Break
Panel Discussion - Pitfalls of using ChatGPT
Arif Babul, Ashish Mahabal, Yogesh Wadadekar, Federica Bianco, Siddharth Chaini
Snacks
Dinner at Chittaranjan
Breakfast at Chittaranjan
Morning Session, Chair: Sudhanshu Barway
Advancing science with ML/AI without falling prey to its siren song
Arif Babul
AI for Cosmological Experiments
Ofer Lahav
Tea Break
Cosmology in the machine learning era
Francisco Villaescusa-Navarro
AI/ML applications to stellar abundances and stellar population studies
T. Sivarani
Lunch at Chittaranjan
Afternoon Session, Chair: Arunima Banerjee
Multi-physics and multi-scale challenges in cosmic structure formation; from galaxy formation to black hole mergers with machine learning
Lucio Mayer
Deciphering the Epoch of Reionization using Neural Networks
Madhurima Choudhury
Parameter estimation from Lyman forest in Fourier space using Information Maximising Neural Network
Soumak Maitra
Estimation of Reionization Parameters from 21-cm Bispectrum using BNN-based Emulator
Yashrajsinh Mahida
ANN-Based Global 21-cm Signal Extraction with Chromatic Ionospheric Effects
Anshuman Tripathi
Tea Break
Hands-On 5, Galaxy Ring Detection
Linn Abraham
Snacks
Dinner at Chittaranjan
Breakfast at Chittaranjan
Morning Session, Chair: Yogesh Wadedekar
Machine Learning Applications to Gravitational Waves
Anupreeta More
Finding a Balance between Learning and Machine Learning in Gravitational Wave Astronomy
Suvodip Mukherjee
Fundamentals of Artificial Neural Networks and Convolutional Neural Networks
Badam Kushvah
Unveiling Patterns in High Dimensions: AI/ML Innovations in Multivariate Analysis, Dimension Reduction, and Clustering
Abisa Sinha
Farewell address by Organisers - Arif Babul and Ajit Kembhavi
Tea Break
Gravitational wave forecasting with denoised signal using Deep Learning
Rohan Raha
Modelling strong lenses from the HSC Survey using convolutional neural networks
Priyanka Gawade
Improving astrophysical scaling relations with machine learning
Digvijay Wadekar
Performance Evaluation of Efficient Interpretable Attention Inception Model for Redshift Estimation
Snigdha Sen
Employing neural networks for learning theory parameters
Bihag Dave
Lunch at Chittaranjan
Afternoon Session, Chair: Suvodip Mukherjee
Panel Discussion - Future and Sustainability of AI
Ofer Lahav, Alex Szalay, Francisco Villaescusa-Navarro, Arunima Banerjee, Deoyani Nandrekar-Heinis
Conference Ends with Snacks and Tea Break
Event Venue & Travel
IUCAA is located at the north end of the campus of the Savitribai Phule Pune University.
The city of Pune is about 170 km south-east of Mumbai (Bombay) along the Mumbai-Pune expressway.
Pune lies at an altitude of 559m and the climate is mostly pleasant.
If you arrive in Pune by train:
If you are coming to Pune by Train, you can take a Taxi/Auto from the "Pune Station" to your place of stay.
An Auto ride to IUCAA takes about 30 - 45 minutes depending on traffic.
Please make your own arrangements to reach your place of stay.
If you arrive in Pune by air:
If you are arriving at Pune by air your can take a prepaid taxi or auto-rickshaw (~INR 245/-) from the Lohegaon Airport, Pune, which is about 13 kms from IUCAA.
You can also book Ola/Uber Rides from respective counters at Lohegaon Airport.
The international airport closest to Pune is at Mumbai. Those coming from abroad can also enter the country through Delhi or Bengaluru airports.
A number of flights from these airports to Pune are available all through the day and night.
If you are arriving in Mumbai, you may opt for one of the following:
- By taxi - On the average the taxi-ride takes ~3.5 hrs, the distance is ~170 km and the cost is around INR 3,000/-. A taxi may be shared with another traveler headed for the same destination for the same total cost.
- By train - You can take a train from Chhatrapati Shivaji Terminus to Pune Railway Station.
- By bus - You can take a bus from Dadar bus stand, from where air-conditioned buses leave frequently for Pune. Traveling by bus will cost around INR 750.
Inter University Centre for Astronomy and Astrophysics, Pune
The Inter-University centre for Astronomy and Astrophysics (IUCAA) is one of the premier research institutes in astronomy and astrophysics in India. The faculty at IUCAA have interests in theory, observations and instrumentation. It has a substantial number of visitors from various Indian universities and astronomy centres in the country and abroad. The workshop will be organised on the IUCAA campus, which is located in the verdant surroundings of the S. P. Pune University.
Visa Information
A visa must be obtained by most foreign nationals before traveling to India.
All foreign nationals planning to participate in the meeting are therefore requested to apply for a Conference/Business visa through the Indian Consulate in their country.
In compliance with regulations, we will apply for clearance for the conference from the Ministry of Human Resource Development, Government of India.
A copy of this clearance, which we expect to receive by mid-October, along with the invitation letter, will be sent to all registered participants requiring a visa.
These documents are necessary for applying for a conference visa.
If your visa application form requires the name of a reference/contact person, please provide the following information:
Prof. Ajit Kembhavi
Inter-University Centre for Astronomy and Astrophysics,
Post Bag 4, S. P. Pune Univesity Campus, Ganeshkhind,
Pune-411007, India.
Phone : +91-20-2560 4100
Fax No. : +91-20-2560 4228
E-mail: amaa[at]iucaa.in
General Information
Restaurants located near by IUCAA:
There are various hotels / restaurants located near by IUCAA within ~5 K.M.
For more information click here.
Places to visit in and around Pune:
Places you can visit in and around Pune can be found here.
Contact
For any more queries reach out to us
Address
IUCAA, S.P. Pune University Campus Pune 411007, India
Call Us
+91 20 2560 4100
Email Us
amaa@iucaa.in