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An Autonomous Institution, Ministry of Education, Govt. of India
Data Science 

Centre for Artificial Intelligence and Data Sciences (CAIDS)

Vision: Centre for Artificial Intelligence and Data Science (CAIDS) will focus on a three-tiered strategy of Education, Research, and Innovation (E-R-I Strategy) in developing capacity in AI and Data Science. While borrowing freely from the recommendations of the NITI Ayog paper National Strategy for Artificial Intelligence #AIforAll to align with the larger national agenda, the emphasis is on  scaling up the core strengths of IISER Pune in basic sciences towards research and innovation in AI and Data Sciences.

About: As research across the sciences, mathematics and engineering start tackling increasingly complex problems, it requires processing of vast quantities of information. In conjunction with the computational power, it is possible to make intelligent decisions based on the data. The growth of artificial intelligence and data science as disciplines has been rapid in the last decade. It is becoming clear that a wide gamut of traditional scientific research stands to benefit from advances in these areas. Hence, IISER Pune would engage in education, research, and innovation in the areas of data science and aritificial intelligence.

The proposed Centre will be set up in a new building and equipped with state-of-the-art computing facilities. The Centre will be organised around a core group of faculty members from IISER Pune, who are interested in participating in the development and activity of the Centre. The Centre will draw on the rich culture of research and education at the Institute to conduct Thematic Programmes, built around the core faculty interests, and later extended to include othertopics of contemporary attention.

The Centre has begun offer academic opportunities, from post-doctoral to faculty level, for scientists with AI and DS specialisation. In addition, degree programmes centred on AI-DS will soon be offered to IISER Pune students, and outreach programmes will be run for students outside IISER Pune. An important goal of the Centre will be to attract engage with industry on applications flowing out of research work done here.

Importantly, IISER Pune would employ a collaborative (private, government and IISER) funding model to establish this Centre, as it initiates the "first phase" of its programmes.

For queries related to the Centre: please contact Prof. M. S. Santhanam (santh@iiserpune.ac.in)
Faculty Positions Courses Offered Events
Focus Areas Facilities  
Focus Areas:
  1. Mathematics of AI : Neural Networks and Algebraic Geometry
  2. Computational Mathematics in AI-DS
  3. AI-DS in Medicine and Public Health
  4. AI-DS in Quantitative Finance
  5. AI-DS in Condensed Matter Physics and Materials Science
  6. AI-DS in Astronomy and Particle Physics
  7. AI-DS in Biology and its implications in Medicine, Pharmacology, Nutrition, and Agriculture
  8. AI-DS in studies of Complex Systems
  9. AI-DS in the study of Biodiversity
  10. AI-DS in Earth Science

Computational Facilities:

The computing facility and IT infrastructure at IISER Pune caters to the requirements of CAIDS. The institute has a robust data center comprising servers and high-end work stations for various system administration services, including a High Performance Cluster. Know more about Computational Facilities
Associated Faculty
Associated faculty are drawn from other departments at IISER Pune and have research interests in data science.

Faculty Members
Name Designation Research
Collins Assisi Assistant Professor Information processing by neuronal networks
Deepak Barua Associate Professor Plant physiology, physiological ecology and evolutionary ecology
Apratim Chatterji Associate Professor Statistical physics, soft condensed matter, phase transitions, microfluidics
Sourabh Dube Associate Professor and Associate Dean (International Relations and Outreach) Experimental High Energy Physics
Prasenjit Ghosh Associate Professor Atomistic modeling of Materials
Sreejith GJ Assistant Professor Theoretical condensed matter physics - strongly correlated systems, quantum Hall effects, frustrated systems
Pranay Goel Associate Professor Mathematical biology: physiology and type 2 diabetes. Data science and predictive modeling for healthcare and precision (personalized) medicine
Anindya Goswami Associate Professor Stochastic Control, Mathematical Finance, Machine learning model of derivative pricing
Mukul Kabir Associate Professor Electronic structure theory, 2D Materials, Functional defects, Magnetism, Superconductivity, and Catalyst design
M. S. Madhusudhan Associate Professor Bioinformatics and Structure
Ayan Mahalanobis Assistant Professor Public key cryptography, finite group theory
T. S. Mahesh Professor and Deputy Chair, Physics NMR spectroscopy, quantum information, optimal control and artificial intelligence
Soumen Maity Associate Professor Combinatorics,cryptography, algorithms, statistical designs, software testing
Vivek Mohan Mallick Assistant Professor Algebraic Geometry
Arnab Mukherjee Associate Professor Theoretical and computational chemistry, biophysics
Suhita Nadkarni Assistant Professor and Associate Dean (Student Activities) Biophysical models of synaptic plasticity in health and disease
M. S. Santhanam Professor Nonlinear dynamics, chaos and quantum chaos, statistical physics, complexity
Seema Sharma Associate Professor Experimental High Energy Physics
Anupam Kumar Singh Associate Professor Linear algebraic groups, Lie algebra, central simple algebras and quadratic forms
Pushkar Sohoni Associate Professor and Chair, Humanities & Social Sciences Architecture, Historic Preservation, History of Architecture and Art, Numismatics, Indo-Persian Studies, Material Culture, Medieval and Modern History, Languages and Scripts
Tarun Souradeep Professor and Chair, Physics Cosmology, Gravitational waves Physics and Astronomy (LIGO-India)
Arun M. Thalapillil Assistant Professor Theoretical High Energy Physics
Visiting Faculty
Shyam S. Rai Emeritus Professor Geophysical data modelling, Inverse theory & its application, Deep earth exploration & understanding the earth process