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About

Artificial Intelligence (AI) is rapidly reshaping our world, and education is no exception. The School of Artificial Intelligence at Amrita Vishwa Vidyapeetham is a pioneering institution leading the way in transforming education and research through AI.The rapid evolution of artificial intelligence is transforming sectors globally, sparking groundbreaking innovation and redefining traditional practices across industries.

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The School of Artificial Intelligence recognizes the vast potential of AI and is dedicated to providing top-tier education, research, and innovation to help shape the future of this field. The School of Artificial Intelligence is dedicated to cultivating future AI leaders who are equipped with advanced skills and knowledge to tackle complex, cross-sectoral challenges in areas such as healthcare, agriculture, environmental science, and energy. Through a comprehensive AI curriculum, the school emphasizes hands-on learning, interdisciplinary collaboration, and the application of AI to real-world problems, ensuring students are prepared to drive impactful change.

The vision and mission of School of Artificial Intelligence align with the broader ethos of Amrita Vishwa Vidyapeetham, which is to deliver education grounded in values and focused on holistic growth. Amrita Vishwa Vidyapeetham advocates for an education that extends beyond academics, nurturing the complete development of each individual.

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Amrita Vishwa Vidyapeetham has not appointed any Agent or Third-Party Client for securing admission in any programme. Students are hereby requested to contact only the toll-free number on our website for any admission related queries.

– Issued In Public Interest By Directorate Of Admissions And Academic Outreach

Important Note

2025 January Intake Admissions Open
Last Date to Apply : January 09, 2025

Vision

To establish as a global leader in generative AI research, innovation, and education, dedicated to advancing humanity through responsible and transformative AI technologies. We aim to foster a thriving community of innovators, educators, and industry partners committed to creating ethical, sustainable, and human-centric AI solutions.

Mission

Amma’s profound vision of offering “education for life” and her focus on compassion-driven research have made Amrita a truly unique institution.

Program Overview

Research Motivation

Our research is driven by a commitment to addressing pressing global issues, such as poverty, hunger, disease, environmental pollution, and contamination. By transforming compassion into actionable solutions, we believe our research gains unique depth, authenticity, and effectiveness, driving meaningful advancements and fostering positive societal impact.

Core Objectives

Educate and Empower

To offer world-class education and training in generative AI, equipping students with the expertise, skills, and ethical foundation needed to lead and innovate across AI-driven industries.

Research Excellence

To pursue pioneering research in generative AI, contributing to fields such as healthcare, environment, finance, and education, positioning Amrita as a leader in AI-driven innovation.

Community and Collaboration

To foster a collaborative ecosystem that unites academia, industry, and government in developing scalable, real-world generative AI applications that address societal challenges.

Ethics and Responsibility

To champion responsible AI development by emphasizing ethical principles, transparency, and inclusivity, ensuring that generative AI serves humanity positively and sustainably.

Global Impact

To catalyze transformative AI solutions with global reach, establishing Amrita’s School of AI as a thought leader and driver of change within the generative AI landscape.

Eligibility

Admissions

Eligibility

B. Tech / M. Tech in any Engineering Discipline.

Faculty

Prof. Kamal Bijlani
Prof. Kamal Bijlani
Dean
Director
Professor

Dr. Vasantha Kumar Venugopal
Dr. Vasantha Kumar Venugopal
Adjunct Professor

Dr. Lakshmi Mohandas
Dr. Lakshmi Mohandas
Associate Professor

Dr. Abhishek Kumar
Dr. Abhishek Kumar
Assistant Professor (Sr. Gd.)

Dr. Mrittunjoy Guha Majumdar
Dr. Mrittunjoy Guha Majumdar
Assistant Professor (Sr. Gd.)

Dr. Rakesh Kumar
Dr. Rakesh Kumar
Assistant Professor

Dr. Sakshi Ahuja
Dr. Sakshi Ahuja
Assistant Professor

Sri Geetha M.
Sri Geetha M.
Assistant Professor

Research Areas

Natural Language Processing and Generative AI for Interactive Multilingual Chatbots

Federated Learning for Multi-Modal Medical Data

Explainable AI for Clinical Decision Support Systems

Using Data Analysis and Generative AI in Mental Health to analyze social media data for early detection of depression or suicidal ideation.

Developing predictive models that identify at-risk individuals based on digital biomarkers, such as sleep patterns and speech analysis.

AI in Education: Analyzing the impact of adaptive algorithms in Personal Tutoring, Competency Based Systems, Outcome Based Education (OBE)

Artificial Intelligence & Machine Learning in Imaging Sciences

Artificial Intelligence & Machine Learning in Signal processing

Quantum Cognition

Medical Image Analysis using Machine Learning and Deep Learning

Biometric identification

Computational Neuroscience

Sleep Disorder

Autism Diagnosis in Children

IoT based wearable devices

Digital Signal Processing

IIoT and Digital Communication system

Speech based disease signal processing (Eg: Parkinson)

LLMs for medical applications

Deep Learning and computer vision for Medical applications in particular Oncology

Recommender systems for chronic diseases

VR applications for training neuro development disorders in children

Foundation models for Healthcare applications

Validation and Continuous monitoring of healthcare AI models

Generative AI for creating multimedia content for digital health platform

Quantum Computing

Quantum Machine Learning

Quantum Error Correction

Quantum Communication and Cryptography

Entanglement

Foundations of Quantum Mechanics

Quantum Internet

Fundings / Projects: (Ongoing)
 

Title of the Project Funding Agency
AI- Powered Wearables for Mental Health Monitoring

Investigates how wearable devices can track physiological parameters related to mental health (e.g., stress levels, sleep patterns, and emotional states) using AI to predict and manage mental health issues like anxiety, depression, or PTSD.

 Amrita Vishwa Vidyapeetham (Internal funding)
Body scan

Offers a comprehensive AI- driven solution for remote health assessment and quick expert- approved evaluations for various health issues, from skin conditions to tremors, enabling personalized treatment

 Amrita Vishwa Vidyapeetham (Internal funding)
Amrita OT Scheduler

Automates OT Scheduling, optimizes resources, monitors surgeries in real-time, and supports emergencies with performance reporting

 Amrita Vishwa Vidyapeetham (Internal funding)
Amrita AI predicting AMR

Uses ML models to predict antimicrobial rationality, enhancing patient outcomes, optimizing antibiotic use, and reducing resistance spread with high accuracy

 Amrita Vishwa Vidyapeetham (Internal funding)
Amrita AI Derma Chatbot

Streamlines the dermatology preconsultations, reducing time and improving patient satisfaction, with adaptability for other specialities

 Amrita Vishwa Vidyapeetham (Internal funding)
Augmenting Python Learning with AI

A GPT-Driven Adaptive Tutoring System for Personalized Education, Assessment, and Feedbacks

 Amrita Vishwa Vidyapeetham (Internal funding)
Revolutionizing Solar Workforce Development

A Conversational LLM- based Chatbot for Adaptive Learning and Smart Training for Skill Enhancement in Solar Engineering

 Amrita Vishwa Vidyapeetham (Internal funding)

Facilities / Research Infrastructure
 

VR Headsets (Oculus Quest 2 and Others):

No. of headsets: 40
For immersive simulations and visualizations in medical applications.

VR Integrated Software Suite:

No. of softwares: 40
VR application software for 40 VR devices.

Microcontrollers & IoT Kits (ELEGOO UNO PROJECT SUPER STARTER KIT with TUTORIAL):

No. of kits: 40
For developing and testing IoT devices.

IoT Sensors and Actuators Set (DFRobot Gravity Starter Kit):

No. of kits: 40
For detecting and responding to environmental changes, vital for practical experiences in sensor integration and data collection.

Simulation Software Licenses:

No. of software licenses: 70
For modeling and testing IoT systems virtually.

Rack Servers with GPU (Dell PowerEdge R740 / HPE ProLiant DL380 Gen10):

No. of servers: 3
High-performance servers with GPUs for intensive computation needs.

Storage File Server (Dell EMC PowerVault ME4024):

No. of servers: 2 96
TB file storage server for large data storage needs.

Smart Rack with inbuilt UPS / AC:

No. of racks: 1
Smart rack with built-in UPS and AC for equipment management and protection.

Contact Us

Ph. D. Coordinator

Dr. Lakshmi Mohandas
Associate Professor,
School of Artificial Intelligence,
Amrita Vishwa Vidyapeetham
Faridabad, Delhi NCR, India.
lakshmi.mohandas@dl.amrita.edu

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