Indian Institute of Technology Guwahati

Mehta Family

School of Data Science & Artificial Intelligence

INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI

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

Feb 21, 2024 Project proposal titled - Determining normative nasalance and acoustic characteristics in low-resourced North-Eastern languages with applications to language technology and speech therapy, has been awarded support under the SERB Core Research Grant Program, DST. Congratulations to our Faculty member Neeraj Kumar Sharma who is serving as a Co-investigator on this interdisciplinary project!
Feb 20, 2024 Project proposal titled - Byzantine-robust and communication-efficient fedarated learning for Internet of Things networks, has been awarded support under the Technology Innovation Hub-IoT Technology Development Program, DST. Congratulations to our Faculty members Arghyadip Roy, Prashant W. Patil and Ratnajit Bhattacharjee!
Dec 30, 2023 We are all set for the Jan-May 2024 Winter Semester launch. The class timetable is released here.
Dec 23, 2023 Vikky Masih, PhD Scholar, shines in the INAI Data Analytics Challenge on Road Safety 2023. More details here
Nov 24, 2023 Shortlisting of candidates for PhD Admissions (December 2023) interview is complete. Check here for details.

Recent Seminars

Data Science, Artificial Intelligence, and Society: Adapting to a rapidly changing world , by Nandini Kanan from Plaksha University, India, on Jan 05, 2024 IoT Data Analysis: Learning and Anomaly Detection , by Nalini Ravishanker from University of Connecticut, USA, on Jan 04, 2024

Selected Publications

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
Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection by Debarpan Bhattacharya, Neeraj Kumar Sharma, Debottam Dutta, Srikanth Raj Chetupalli, Pravin Mote, Sriram Ganapathy, C. Chandrakiran, Sahiti Nori, K. K. Suhail, Sadhana Gonuguntla, Murali Alagesan, in Nature Scientific Data, 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.