Events Conducted through the Walmart Center
Ongoing and Upcoming Events
The workshop will bring together researchers interested in Graph Algorithms. A focus of the workshop will be on Dynamic, Distributed, and Streaming Algorithms. Preeminent computer scientists and mathematicians working on Graph Algorithms will present recent advances in the field, propose central open problems, and exchange ideas in inclusive discussion meetings. We plan to use this opportunity to ignite the imagination and broaden the horizons of students interested in algorithms and graph theory.
For more information on this workshop, please see the
Frontiers of Graph Algorithms
website.
Welcome to our Summer School on Theoretical Computer Science, an enriching opportunity designed for senior undergraduate and graduate students eager to deepen their understanding of this dynamic field. This year, we are excited to offer a comprehensive program featuring a series of in-depth lectures on cutting-edge topics in approximation algorithms. In addition to these core areas, our diverse lineup of miscellaneous talks will provide a broad perspective on emerging trends and foundational concepts in theoretical computer science. Join us for an immersive educational experience that will challenge your intellect, expand your knowledge, and connect you with peers and experts who share your passion for the field.
For more information on this workshop, please see the
Summer School on Approximation Algorithms
website.
At the Department of Computer Science and Automation (CSA) at IISc, we host bi-weekly seminars that are
held with the support of the Walmart Center. Over a hundred presentations by distinguished researchers
from across the globe have been organized under the auspices of this initiative. The seminar series has
recently garnered backing from the Walmart Center, strengthening our platform
for academic discourse and knowledge exchange.
For more information about this series and to view the upcoming talks,
please visit our
Bangalore Theory Seminars
website.
Past Events this year
Reinforcement learning (RL) represents a powerful paradigm in artificial intelligence that
simulates a learning process akin to natural ways of acquiring knowledge, where agents become
competent by interacting with an environment to achieve a goal.
In this workshop, we bring together some of the world-leading academicians and industry
practitioners to delve into the intricacies and hurdles currently faced by this discipline.
We aim to forge pathways that will shape the future of RL, driving forward innovations that
promise to transform a multitude of sectors by making systems more adaptive, intelligent,
and efficient.
For more information on this workshop, please see the
Reinforcement Learning : Recent Trends and Future Challenges
webpage.
Computing systems (e.g., mobile phones, desktops, laptops) are integrated parts of our lives nowadays. While we want our computing systems to be cheap, we also want them to be fast and energy efficient. Moreover, we also want our computing systems to be safe and secure so that we can use them without risking our privacy. Several new applications have emerged recently that are being extensively executed on different computing systems. Specifically, the emergence of machine learning applications (e.g., deep neural networks, ChatGPT) has called for more efficient and more secure computing systems than ever before. In this workshop, several scholars with extensive research experience in the domain of computing systems will talk about various aspects of present computing systems as well as how future computing systems will look like. Attendees will get a unique opportunity to interact with professionals from leading industries as well as academia in this domain. Moreover, a handful of research scholars from across the country will present posters showcasing their research work.
For more information on this workshop, please see the
Systems Day 2025
webpage.
Events in 2024
Computing systems (e.g., mobile phones, desktops, laptops) are integrated parts of our lives
nowadays. While we want our computing systems to be cheap, we also want them to be fast and
energy efficient. Moreover, we also want our computing systems to be safe and secure so that
we can use them without risking our privacy. Several new applications have emerged recently
that are being extensively executed on different computing systems. Specifically, the emergence
of machine learning applications (e.g., deep neural networks, ChatGPT) has called for more
efficient and more secure computing systems than ever before. In this workshop, several
scholars with extensive research experience in the domain of computing systems will talk
about various aspects of present computing systems as well as how future computing systems
will look like. Attendees will get a unique opportunity to interact with professionals from
leading industries as well as academia in this domain.
For more information about this workshop,
please visit our
Present and Future Computing Systems 2024
website.
The goal of this lecture series is to take a deep dive into topics at the interface of modern algorithms and machine learning. Our focus will be on recent advances and challenging open problems in these areas. Delivered by leading experts, the lectures will cover relevant background and thoroughly cover technical details.
For more information on this workshop, please see the
Algorithmic Foundations of ML
webpage.
Welcome to our Winter School on Theoretical Computer Science, an enriching opportunity designed for senior undergraduate students eager to deepen their understanding of CS Theory.
We’re excited to offer a series of in-depth lectures on cutting-edge topics such as matching theory and differential privacy. In addition to these core areas, our diverse lineup of miscellaneous talks will provide a broad perspective on emerging trends and foundational concepts in theoretical computer science. Join us for an immersive educational experience that will challenge your intellect, expand your knowledge, and connect you with peers and experts who share your passion for the field.
For more information about this winter school,
please visit our
Theory CS Winter School 2024
website.
The workshop will bring together researchers interested in Computational Geometry and
Approximation Algorithms. A focus of the workshop will be on Geometric Approximation Algorithms.
Preeminent computer scientists and mathematicians working on Geometric Approximations will
present recent advances in the field, propose central open problems, and exchange ideas in
inclusive discussion meetings.
We plan to use this opportunity to ignite the imagination and broaden the horizons of students interested in algorithms and geometry. The workshop will also address application settings, such as drone & robot motion planning, geometric packing, nearest neighbor search and clustering.
We plan to use this opportunity to ignite the imagination and broaden the horizons of students interested in algorithms and geometry. The workshop will also address application settings, such as drone & robot motion planning, geometric packing, nearest neighbor search and clustering.
For more information about this workshop and to view the speaker details,
please visit our
Frontiers of Geometric Algorithms
website.
The trends in globalization have dramatically changed in the last few years. Many Fortune 500 companies are eager to enter developing countries and are dependent on finding the right partners in those countries. On the other hand, many developing countries now have home-grown technologies that have leapfrogged the developed countries in areas such as payments solutions, ed-tech platforms, health delivery, and supply chain logistics.
Join us to explore how Emerging world AI will shape healthcare, finance, supply chains, and climate science in the coming decades. As we approach 2050, when over 60% of global GDP is projected to come from current emerging markets, this event offers a unique opportunity to shape the future of AI in these rapidly evolving economies.
For more information about this series and to view the upcoming talks,
please visit our
Emerging Worlds and AI
website.
Reinforcement learning (RL) represents a powerful paradigm in artificial intelligence that
simulates a learning process akin to natural ways of acquiring knowledge, where agents become
competent by interacting with an environment to achieve a goal.
In this workshop, we bring together some of the world-leading academicians and industry
practitioners to delve into the intricacies and hurdles currently faced by this discipline.
We aim to forge pathways that will shape the future of RL, driving forward innovations that
promise to transform a multitude of sectors by making systems more adaptive, intelligent,
and efficient.
For more information on this workshop, please see the
Reinforcement Learning : Recent Trends and Future Challenges Seminars
webpage.
The art of Computing workshop was conducted on February 17th and 18th at IISc with several researchers
from IISc, Bangalore, IIT Gandhinagar, ICTS, and Brown University.
The workshop highlighted numerous avenues of creative expression within Computer Science.
We plan to use this opportunity to ignite the imagination and broaden the horizons of many
budding computer scientists, particularly senior undergraduates.
Please see the
The Art of Computing
website for more information.
A workshop on Present and Future Computing Systems was held on 12th - 15th January 2024 at
Dept of CSA. In this workshop, several scholars with extensive research experience in the
domain of computing systems talked about various aspects of present computing systems as well
as how future computing systems will look like. Attendees got a unique opportunity to interact
with professionals from leading industries in this domain. Moreover, a team from C-DAC provided
a hands-on demonstration of DIR–V VEGA Processor–India's indigenous microcontroller development
board.
Please see the
workshop on Present and Future Computing Systems
website for more information.
Events in 2023
IISc Bangalore brings to you a seminar series by Karthikeyan V Shanmugam from Google Research.
As an expert on the field of causal discovery and inference, with several key results in this area,
Karthikeyan brings several new perspectives to our understanding of causality. This series of
lectures will cover various aspects of causal discovery and causal inference.
Please see the
Karthikeyan VS seminar series
website for more information.