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 like 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 |
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 disable 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 Imaginaryfor 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
HACKATHON – Hack KRMU The Ultimate Innovation Odyssey!
Hack KRMU 2.0 (15th -17th February 2023)-176 Participants
Hack KRMU 3.0 (5th – 7th 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 11th July, 2021 – 22 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 Bellerina and Choreo-Workshop” (21st February 2024) in collaboration with Computer Society of India
Power Seminar on AI & Cloud Computing (5th April 2024) in collaboration with ICT Academy
RESEARCH AND METHODOLOGY- Workshop” (18 July 2022)-Resource Person: Dr Kaushal Kumar
Generative AI Teaching Learning Processes and Research – Workshop (09 June 2023)-Resource Person: Dr C.S Dubey
Faculty Workshop Series
Workshop on Scientific Writing Using LATEX- Workshop” (27 April 2024)-Resource Person: Dr Dr Riman Mandal
Empowering Research Excellence: Tools for Effective Scientific Writing- Workshop (11 May 2024)-Resource Person: Dr Rupesh Kumar
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.