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

Nov 22, 2024 Information about accomodation provided to shortlisted candidates for PhD Admissions Selection Process (Dec 2024) is provided here.
Nov 18, 2024 Shortlisting of candidates for PhD Admissions Selection Process (Dec 2024) is complete. Check here for details.
Oct 14, 2024 Applications are invited for admission to PhD Dec 2024 Session. Apply soon - the application submission portal closing date is approaching!
Sep 18, 2024 Announcing the release of our School’s Placement Brochure for the UG 2025 Batch! Check it out here.
Sep 18, 2024 Shortlisting of candidate for Institute Postdoctoral Fellowship (IPDF, 2024) interview is complete. Check here for details.
Aug 16, 2024 Project proposal - Establishment of North Eastern Science and Technology Cluster for promoting Research, Innovation and Skill Development (NE-S&T Cluster) has been accepted by the Ministry of Development of North Eastern Region (DoNER), with Devendra Jalihal as Project Director, and Technology Hub for Semiconductor and Artificial Intelligence PI: Chiranjib Sur, Co-PI: Teena Sharma and Debanga Raj Neog.
Jul 24, 2024 You can now join our DS&AI community on Twitter (X), Facebook, YouTube and LinkedIn!.

Recent Seminars

Neuromorphic Computing: Low-latency and low-power sensing and processing with events and spikes, by Lyes Khacef, Sony Zurich, on Sep 30, 2024 Working towards a pipeline for clinical speech AI that generalizes, by Visar Berisha, Arizona State University, USA, on Sep 16, 2024

Selected Publications

Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement by T. Sharma and N. K. Verma, a book in the series Algorithms for Intelligent Systems, Springer, 2024 (ISBN: 978-981-97-2011-8)
A Comprehensive Exploration of Real-Time 3D View Reconstruction Methods by A. Agrawal, T. Sharma, and N. K. Verma, in IEEE Transactions on Artificial Intelligence, 2024
Efficient estimation of the density and distribution functions of Weibull-Burr XII distribution by Amulya Kumar Mahto, Yogesh Mani Tripathi, Sanku Dey, M.M. Abd El-Raouf, Najwan Alsadat, in Alexandria Engineering Journal, 2024
Exploiting Bias in Reinforcement Learning for Task Allocation in a Mobile Edge Computing System by S. Badireddi, R. Banerjee, P. Shah, A. Roy, in IEEE International Conference on Signal Processing and Communications (SPCOM), 2024

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.