Artificial Intelligence Research and Applications (CAIRA) to foster the responsible development of AI. As a first-of-its-kind initiative among regional universities, CAIRA focuses on advancing interdisciplinary AI research across scientific, technological, societal, business, and educational fields. The Centre aims to lead AI innovation and develop real-world solutions that address contemporary challenges.
CAIRA aspires to be a leader in AI research and applications, driving forward cutting-edge research, academic excellence, and collaborative efforts with industry partners. The Centre integrates a multidisciplinary approach that combines research, education, and entrepreneurship while upholding ethical AI practices. Through these efforts, CAIRA aims to advance technology and prepare students for future challenges.
At Chandigarh University, Uttar Pradesh, CAIRA harnesses AI power for societal benefit, utilising advancements in GPU platforms, big data, and neural networks. With a focus on speech, natural language processing, computer vision, and machine learning, the Centre fosters collaboration between engineering, science, and business disciplines. CAIRA also promotes the ethical development of AI by accounting for societal and cultural contexts while partnering with international industry leaders. By advancing AI research and promoting ethical practices, CAIRA aims to deliver positive societal impacts.
To establish CAIRA as a globally recognised centre of excellence in AI research and applications, fostering innovation, entrepreneurship, and technological advancements.
Development of prototypes and AI-driven solutions through interdisciplinary collaboration
01Support AI-based start-ups with mentorship, funding, and networking
02Translate research into marketable products, with support for IP management and technology transfer
03Provides computational power for AI research
Guides ethical AI research and deployment
Offers grant management, compliance, and career development support
Organise seminars and workshops for AI literacy
Use AI to address social, economic, and environmental challenges
Provides strategic guidance from industry leaders, academics, and policymakers.
Oversees day-to-day operations and research collaborations.
Offers undergraduate, graduate, and doctoral programs in AI and related fields
Provides workshops for industry professionals
Offers real-world AI experience through industry placements
Offers courses in AI ethics, advanced ML, and AI in industries
Facilitates industry partnerships and collaborative research
01Promotes international AI collaboration and faculty exchanges
02Engages with government and non-profits for public good AI projects
03A panel of industry leaders and executives provides strategic guidance, fosters partnerships, and supports the commercialisation of research outputs. The panel includes CEOs from AI-focused companies, technology firms, and influential industry stakeholders.
An annual conference organised by CAIRA showcases the latest advancements in AI research, provides a platform for academic and industry collaboration, and facilitates discussions on emerging trends and challenges. The conference features keynote speakers, panel discussions, and paper presentations.
A quarterly newsletter to update stakeholders on recent developments, research breakthroughs, upcoming events, and other news related to CAIRA and the AI field. The newsletter is distributed among faculty, students and industry partners.
Offering consultancy services to businesses and organisations seeking expertise in AI technologies and applications. Services may include feasibility studies, project management, technology implementation, and strategic advice on AI adoption.
A comprehensive repository of AI research papers, datasets, tools, and resources. The repository will be accessible to researchers, students, and industry professionals for reference and collaboration.
Oversees CAIRA’s overall operations and strategic direction
Manages research projects, funding, and timelines
Leads research initiatives and publications
Designs and maintains data pipelines and architectures
Develops and deploys machine learning models
Manages external partnerships and funding opportunities
Ensures adherence to ethical standards and governance policies
Develops and updates AI-related academic programs
Supports commercialisation and entrepreneurial activities
Manages public engagement and education initiatives
Conducts specialised research and contribute to AI advancements
Skilled professionals, researchers, and support staff
High-performance computing facilities, AI software tools, and data storage solutions
Funding for research projects, infrastructure, and operational costs
Access to academic journals, books, and online databases related to AI