Centre of Excellence- Artificial Intelligence

Vision

To drive innovation and smart solutions using AI and advanced technologies, creating significant impact on the economy, industry, and society.

Objectives:

Develop AI-driven smart solutions that address real-world challenges across various industries.
Foster research and innovation in Artificial Intelligence, Machine Learning, and related technologies.
Collaborate with industry leaders to implement AI-based solutions that enhance productivity and efficiency.
Promote skill development by training students and professionals in cutting-edge AI technologies.

Focus Areas:

Artificial Intelligence (AI): Focus on creating intelligent systems capable of automating decision-making, optimizing operations, and enhancing human capabilities across industries.
Machine Learning (ML): Prioritize the development of algorithms that enable systems to learn from data, recognize patterns, and make data-driven predictions to improve efficiency and outcomes.
Deep Learning (DL): Advance the use of neural networks to build models capable of processing large datasets and delivering high-accuracy insights for complex tasks .krmu-page-wrapper .quadrant-box image and speech recognition.
Natural Language Processing (NLP): Work on improving human-computer interaction by enabling machines to understand, interpret, and generate human language effectively.
Computer Vision: Develop cutting-edge solutions in image processing and analysis, enabling AI systems to interpret and understand visual information from the real world.
Reinforcement Learning: Explore techniques where AI systems learn optimal behaviors through interactions with their environment, aimed at solving dynamic and complex problems.

The Centre’s charter focuses on the FOUR quadrants of research, teaching, industry projects, and entrepreneurship.

Infrastructure and Facilities

Category	Description	Details
Total Available Systems	Number of Systems	30 systems with high-performance specifications
Hardware	High-performance Workstations	Intel i5/i9 processors, 8GB RAM, 1TB SSD
Hardware	High-resolution Monitors	27-inch 4K monitors
Software	Operating System	Windows 11
	Integrated Development Environments (IDEs)	VS Code, PyCharm, Jupyter Notebook
	Audio Recording and Analysis Tools	PRATT, CoolEdit
Open Source Tools	Machine Learning Libraries	TensorFlow, Keras, PyTorch
	Data Analysis and Visualization Tools	Pandas, NumPy, Matplotlib, Plotly
	Big Data Tools	Apache Hadoop, Apache Spark
	Database Management Systems	MySQL
	Version Control Systems	Git, GitHub
Cloud Services	Cloud Computing Platforms	AWS
	Cloud Storage	AWS S3
	Cloud-based Machine Learning Services	AWS SageMaker
	Virtual Labs	AWS EC2 Instances

Collaborations

The Centre of Excellence in Artificial Intelligence (COE-AI) at K R Mangalam University is engaged in dynamic research collaborations with prominent institutions. With the Centre of Drone Technology, IIT-Guwahati, COE-AI participates in joint research projects focusing on advanced AI fields such as machine learning, natural language processing, and computer vision.

This partnership also promotes faculty and student exchanges to foster knowledge sharing and organizes joint workshops, internships, and seminars.

Collaboration with CDAC Noida emphasizes the development of specialized AI training programs and certifications, along with efforts in technology transfer and research development to create impactful AI solutions for industries.

Additionally, COE-AI partners with Samatrix to bridge the gap between academia and industry by providing internships, placements, and fostering AI innovation projects aimed at commercialization.These collaborations highlight COE-AI’s commitment to advancing AI research, education, and practical application.

Research Projects Submitted

S.N	Title of the work	Faculty Name	Funding Agency
1	Optimizing Speech Synthesis on Limited Resource Devices and Disability Applications	Dr Shweta Bansal	DST-SERB
2	Development of Voice based mobile app “SEHAT” for providing emergency medical services to elderly and disabled people in local language	Dr Shweta Bansal, Dr Pankaj Agarwal	DST SERB SURE
3	Enhancing Seamless Interaction with Spatial Data Infrastructures in Coastal Regions of India through AI-Driven Geospatial Natural Language Processing (NLP) and Graph-Based Approaches for Exploration	Dr Shweta Bansal, Dr C S Dubey	GEOSPATIAL SCIENCE-DST
4	AI-driven Voice Chatbot designed to offer assistance in the aftermath of a catastrophic event.	Dr Shweta Bansal, Dr Anjali Gautam	CSIR- ASPIRE
5	Enhancing Water Purification: Leveraging Natural Zeolites and Advanced Machine Learning Techniques for Sustainable Industrial and Wastewater Treatment	Dr Shweta Bansal, Dr Seema Raj, Dr Dilraj Preet Kaur	DST, Delhi
6	Design and Development of Smart IoT based system for Improving water quality	Dr Meenu Vijarania, Dr Swati Gupta, Dr Shweta Bansal	ASPIRE
7	Precision Urban Planning: Leveraging VHR Satellite Imaginary for informed interventions in Delhi NCR for slum settlements	Dr Pankaj Agrawal, Dr Shweta Bansal, Dr Monika	SERB SURE
8	Apdasetu: AI based chat bot for providing help after disaster	Dr Shweta Bansal, Dr Monika	DST Haryana

SEED Grant

Title	Details
Project Title	Voice-Based Attendance System for Faculty and Staff
Researchers	Dr. Shweta Bansal, Dr. Amar Saraswat
Grant Amount	1.4 lakhs
Funding Institution	K R Mangalam University
Project Duration	2 Years

HACKATHON – Hack KRMU The Ultimate Innovation Odyssey!

Hack KRMU 2.0 (15th - 17th February 2023) – 176 Participants

Hack KRMU 3.0 (5^th – 7^th March 2024) – 600 Participants

Faculty Development Programs

“AWS (CLOUD PRACTITIONER)” By Ms. Kamatchi Devi, AWS Solutions Architect (30 Jan 2023 to 3 Feb 2023) – In Collaboration with ICT Academy

Online FDP on Big Data Analytics in Collaboration with CDAC Noida
11^th July, 2021 – 22^nd July, 2022

Key Resource Persons

Mr Sunil Kumar, CDAC Noida
Ms Akansha, CDAC Noida
Ms Chandini, CDAC Noida

Workshops / Seminars

AzureDevDay-Cloud Native Tour : “Building Cloud Native Application with Ballerina and Choreo-Workshop” (21st February 2024) in collaboration with Computer Society of India

Power Seminar on AI & Cloud Computing (5^th April 2024) in collaboration with ICT Academy

RESEARCH AND METHODOLOGY – Workshop (18^th July 2022) – Resource Person: Dr Kaushal Kumar

Generative AI Teaching Learning Processes and Research – Workshop (09^th June 2023) – Resource Person: Dr. C.S. Dubey

Faculty Workshop Series

Workshop on Scientific Writing Using LATEX – Workshop (27^th April 2024) – Resource Person: Dr. Riman Mandal

Empowering Research Excellence: Tools for Effective Scientific Writing – Workshop (11^th May 2024) – Resource Person: Dr. Rupesh Kumar

Scientific Writing Workshop Felicitation

SUMMER INTERNSHIPS

COE-AI offers six-week internships in Machine Learning and Big Data for engineering students in collaboration with IIT Guwahati and CDAC Noida. These internships provide hands-on experience with cutting-edge technologies, exposure to real-world challenges, and opportunities to work alongside experts in the field, enhancing both technical skills and industry knowledge.

Notably, the top six students from the internship will have the opportunity to work in the labs at IIT Guwahati, based on their outstanding project performance during the internship.

Internship at National Institute
of Technology – Hamirpur

Edited Book Series

COE-AI publishes an edited book series twice a year, aimed at creating a platform for the exchange of diverse insights and research findings across various fields. This series fosters cross-disciplinary dialogue, underscores the impact of AI on technology and society, and supports the development of innovative collaborations.

By bringing together contributions from multiple disciplines, the series helps to advance knowledge and stimulate new ideas at the intersection of AI and other areas of research.

Team Members

Dr. Shweta Bansal

Dr. Monika Khatkar

Dr. Meenu

Dr. Amar Saraswat

Dr. Swati

Dr. Surbhi Shankar

Program Level

Schools

Admissions

Enroll

Scholarships

Placements

Research and Development Cell

Life at KRMU

About Us

Overview

Administration