Indian Institute of Technology Guwahati

Mehta Family

School of Data Science & Artificial Intelligence


Mehta Family School of Data Science & Artificial Intelligence

We are here to

Data Science and Artificial Intelligence @ IIT Guwahati

Our vision is to establish ourselves as a place of academic excellence in Data Science and Artificial Intelligence (DS & AI) by adopting an interdisciplinary approach towards imparting quality education and pursuing R&D, at the confluence of science, engineering, and humanities. In this quest we aim for
  • Conducting research and development in cutting-edge areas in DS & AI
  • Building and nurturing DS & AI talent to tackle challenging problems
Note: This is our new website. Some of the pages are in development. In case of missing information or lack of clarity, please refer to the old website available at this link.

Recent Notifications

May 21, 2024 Information about accomodation provided to shortlisted candidates for PhD Admissions Selection Process (Jul 2024) is provided here.
May 15, 2024 Shortlisting of candidates for PhD Admissions Selection Process (Jul 2024) is complete. Check here for details.
Apr 26, 2024 Information about the Institute Assistantship Test for PhD Applicant with MTech/MDes/MS(R) qualification and without GATE/CEED is available here. The syllabus for the Institute Assistantship Test is available here.
Apr 13, 2024 Are you interested to work with us on something exciting in DS&AI this summer? Apply to our School's summer internship program. More details available here.
Apr 04, 2024 Step into the future with an in-demand career! The admission application for our globally accessible BSc (Hons.) degree program 2024 is now open. More information here!
Apr 01, 2024 Is your organization working in Data Science, ML, & AI-based technology development? We have some good news!
Our first batch of UGs pursuing BTech in Data Science & Artificial Intelligence is gearing up for placement. More information here!
Mar 28, 2024 Applications are invited for admission to PhD and MTech Programs for July 2024 Session. Apply soon as the application submission portal closing date is approaching!

Recent Seminars

Improving Breathing Problem Detection: A New Approach for Better Patient Care , by Navchetan Awasthi, University of Amsterdam, on May 10, 2024 ASR and NLP are Solved Problems, Are They?, by Aravind Ganapathiraju, Vice President Applied AI, Uniphore, on Apr 05, 2024

Selected Publications

A Policy Gradient Algorithm for the Risk-Sensitive Exponential Cost MDP by M. Moharrami, Y. Murthy, Arghyadip Roy, and R. Srikant, in the Journal of Mathematics of Operations Research, 2024
Actively Adaptive Multi-armed Bandit Based Beam Tracking for mmWave MIMO Systems by Ashim Kumar, Arghyadip Roy, Ratnajit Bhattacharjee, in IEEE Wireless Communications and Networking Conference (WCNC), 2024
Inference for a competing risks model with Burr XII distributions under generalized progressive hybrid censoring by Prakash Chandra, Amulya Kumar Mahto, Yogesh Mani Tripathi, in Braz. J. Probability Statistics, 2023
Adaptive KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings by Arghyadip Roy, Sanjay Shakkottai, R. Srikant, in IEEE Transactions on Automatic Control, 2023

Recent Highlights

Algorithm-based prevention and reduction of cancer health disparity for data-disadvantaged population

The long-term cumulative data disadvantage of some groups is a critical barrier to developing racially unbiased machine learning models. To overcome this barrier, the performance of machine learning models can be improved using transfer learning for data-disadvantaged groups to develop racially unbiased models. With her expertise, Teena Sharma aims to make significant contributions to this field by answering some of the pressing questions. Know more here.

Marching ahead to create the 6G THz Testbed with Orbital Angular Momentum(OAM) & Multiplexing

Ratnajit Bhattacharjee's research in RF, facilitated by a consortium consisting of SAMEER, IIT Madras, IIT Guwahati, and IIT Patna, is driving India's efforts towards the development of 6G technology. The advancement of 6G is anticipated to enhance the progress of machine learning and artificial intelligence by enabling faster data transfer in IoT applications. Know more here.

Students making us proud

Our UG student members (2021-2025 Batch) - Aditya Gupta, Anant Kacholia, Aryan Lath, Devansh Bhardwaj, Nischay Nilabh, Subhash Patel, Varun Nagpal and Nityam Pareek represented IIT Guwahati in the Inter-IIT Technical Meet. The group, with their tenacity to think beyond the box about complex problem statements, won two gold medals and one bronze medal, making the institute proud.
Besides this, Anant Kacholia with his two mates, also participated in Nobias Finance Investment Challenge 2023 and bagged the First prize of 5000 USD!

Listening to body sounds: Analyzing respiratory sound signals for design of AI-based disease screening methodologies

Thanks to improved non-invasive and easy capture of bodysounds using microphones and developments in data analysis techniques, acoustic epidemiology aided with artificial intelligence (AI) is gaining attention. In this project, Neeraj Sharma's group will focus on capture of lung sounds, and explore systematic analysis of these sound signals using approaches in signal processing and machine learning. The goal is to develop methods which allow detecting signatures in the sound signals which are associated with specific kinds of respiratory diseases. Know more about a related work on COVID-19 pursued by the group here

Reinforcement learning for mobile edge computing system

In an Internet of Things (IoT) based network, tasks arriving at individual nodes can be processed in-device or at a local Mobile Edge Computing (MEC) server. This project, led by Arghyadip Roy, focuses on the optimal resource allocation problem for tasks arriving in an MEC-based IoT network. To address the high complexities of achieving optimality, the aim is to develop low-complexity task scheduling schemes. Additionally, reinforcement learning (RL) based approaches will be developed that can learn the optimal policy by interacting with the environment. The performance of the RL-based schemes will be evaluated in system-level simulators. More details can be found in this paper on a related work of ours, and a presentation on the same is available here.

Analysis of facial tissue movements using AI

The eye and facial movements convey subtle information about the mental state (e.g., attention, intention, emotion) and physical state (e.g., age, health, fatigue) of a person. These movements, which generate facial expressions, are carefully scrutinized by humans in social settings. Debanga Raj Neog's lab is focussing on developing Artificial Intelligence (AI)-based systems for measuring, modeling, and animating eye gaze and facial tissue deformations for applications in healthcare and computer animation. The idea is to use high frame rate vision systems to capture human faces, and apply data-driven approaches to analyze and model facial expressions. In the healthcare sector, facial movement analysis can be used to develop tools for rapid assessments of mental health and to build patient-computer interaction systems. In computer graphics, it can help in creating real-time and hyper-realistic computer-generated animations of human eyes and faces in creating convincing and interactive animation characters. Know more here.

Our People

DS&AI at IIT Guwahati brings together faculty members specializing in diverse areas of Data Science and AI. We boast a highly skilled group of researchers who are dedicated to crafting innovative solutions for complex challenges encountered in India and worldwide.

Learn with Us

In the lively campus of IIT Guwahati, our students collaborate closely with faculty, engaging in the pursuit of knowledge and crafting solutions to unravel the "whys and why nots" of various challenges.

Partner with Us

Founded in 2021, we serve as the gateway to North-East India. We are open to collaboration with you as well. Our vision includes partnering with prominent names in AI research, such as technical companies, non-profits, and other universities, to achieve impactful outcomes together.

Join Us

We're using DS&AI to solve challenging problems, but we can't do it without the best people and resources. Engage with us.