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Centre for AI and Machine Learning (CAIML)

Centre for AI and Machine Learning (CAIML)

About the Centre

The ICFAI University, Dehradun has strong focus on Artificial Intelligence (AI), Machine Learning (ML), and Data Science with a specific centre dedicated to this field- Centre for AI and Machine Learning (CAIML).

The Centre for AI and Machine Learning (CAIML) is a hub for research, education, application, and innovation in the domain of Artificial Intelligence (AI), Machine Learning (ML), and Data Science.

Message from the Vice Chancellor

Dr. Ram Karan Singh

Dr. Ram Karan Singh

Post Doctorate, NIRE, Japan
PhD, BITS Pilani, India
Vice Chancellor & Senior Professor

It gives me immense pleasure to share the vision and aspirations of the Centre for AI and Machine Learning (CAIML) at The ICFAI University, Dehradun — a pioneering initiative designed to harness the transformative power of Artificial Intelligence, Machine Learning, and Data Science.

In today’s rapidly developed digital era, AI is no longer a futuristic concept—it is a living force reshaping how we learn, work, govern, and interact with the world. At The ICFAI University, Dehradun, we recognize this immense potential and have established CAIML as a dedicated centre of excellence that combines cutting-edge research, innovative applications, and interdisciplinary collaboration. Our aim is not just to keep pace with technological advancement but to lead from the front in shaping its trajectory with purpose and responsibility.

CAIML is uniquely positioned to foster groundbreaking research and real-world impact by aligning advanced AI and ML techniques with global Sustainable Development Goals (SDGs). From smart cities to healthcare, from defence to education, from sustainability to decision sciences—our focus is wide, yet rooted in addressing societal needs. The Centre actively promotes ethical AI development and ensures our scholars and researchers are not only technically proficient but also socially conscious.

I am confident that CAIML will emerge as a national and international benchmark for AI-driven research and innovation. We welcome collaborations with academic institutions, industry leaders, and government bodies who share our vision of building a future where technology empowers humanity.

Let us work together to ensure that Artificial Intelligence becomes a tool for inclusive progress, sustainable growth, and a better tomorrow.

Message from the Head

Dr. Amit Das

Dr. Amit Das

Head - Centre for AI and Machine Learning (CAIML),
The ICFAI University, Dehradun
E-Mail:
ai.centre@iudehradun.edu.in
amitdas@iudehradun.edu.in

It is a matter of great pride and purpose to lead the Centre for AI and Machine Learning (CAIML) at The ICFAI University, Dehradun — a dedicated center committed to advancing the frontiers of Artificial Intelligence, Machine Learning, and Data Science. CAIML is not just a technological initiative, it is a mission-driven platform aimed at blending innovation with responsibility. In an age where AI continues to redefine industries and reshape society, our Centre stands as a beacon for interdisciplinary learning, research, and societal application. Our focus is not limited to developing algorithms, but extends to designing solutions that address real-world challenges — be it in healthcare, education, governance, sustainability, or digital diplomacy.

The strength of CAIML lies in its dynamic ecosystem that brings together students, researchers, industry professionals, and academic experts to explore, innovate, and apply AI in meaningful ways. With a clear alignment to Sustainable Development Goals (SDGs), we strive to ensure that our research and projects are ethically grounded, socially relevant, and globally competitive.

As the Head of CAIML, I invite students, collaborators, and stakeholders to join us in our journey to build intelligent systems that serve humanity. Together, let us transform possibilities into progress through the power of AI and Machine Learning.

Vision

To be a leading interdisciplinary research and innovation hub driving breakthroughs in AI and ML for societal, industrial, and scientific impact.

Aim & Objectives

The primary aim of the Centre for AI and Machine Learning (CAIML) at The ICFAI University, Dehradun, is to serve as a catalyst for innovation, research, and knowledge dissemination in the rapidly evolving fields of Artificial Intelligence, Machine Learning, and Data Science. The Centre is dedicated to developing cutting-edge algorithms, intelligent systems, and data-driven solutions that address real-world challenges across diverse sectors such as healthcare, agriculture, education, governance, defense, and sustainability.

Its objectives include fostering an environment that promotes advanced research, interdisciplinary collaboration, and continuous learning; encouraging partnerships with industry, government agencies, and international institutions to facilitate knowledge exchange and technology transfer; and ensuring that all AI-driven solutions adhere to principles of ethics, transparency, and social responsibility.

CAIML desires to nurture the next generation of skilled professionals and researchers by offering specialized training, workshops, and hands-on projects, thereby equipping them with the capabilities to lead in an AI-powered global economy. By aligning its work with the United Nations Sustainable Development Goals (SDGs), the Centre aspires to contribute meaningfully to sustainable growth, inclusive development, and the creation of intelligent systems that not only advance technology but also enhance human well-being.

Functions

The Centre for AI and Machine Learning (CAIML) at The ICFAI University, Dehradun, functions as a multidisciplinary hub for research, innovation, education, and application in the domains of Artificial Intelligence, Machine Learning, and Data Science. It undertakes fundamental and applied research to develop intelligent systems, advanced algorithms, and data-driven solutions for a wide range of sectors including healthcare, agriculture, education, governance, sustainability, and defense. The Centre facilitates knowledge exchange and collaborative projects by engaging with industry partners, government bodies, and international institutions. It conducts specialized training programs, workshops, and certification courses to build capacity among students, faculty, and professionals, while also supporting entrepreneurial initiatives through incubation and mentorship. CAIML serves as a platform for interdisciplinary collaboration, integrating AI with various fields such as social sciences, decision sciences, and environmental studies to create impactful and sustainable solutions. It also plays a key role in promoting ethical AI practices, ensuring transparency, accountability, and inclusivity in the development and deployment of technologies. Through publications, conferences, and outreach activities, the Centre actively contributes to the global AI research community while addressing local and national priorities.

Mission

The mission of the Centre for AI and Machine Learning (CAIML) at The ICFAI University, Dehradun, is to create a vibrant ecosystem that fosters excellence in both theoretical and applied research in Artificial Intelligence, Machine Learning, and Data Science. The Centre is committed to building strong collaborations between academia, industry, and government, ensuring that innovation is accelerated and technology is effectively transferred to real-world applications. Guided by the principles of ethical and responsible AI, CAIML strives to integrate cutting-edge technologies with interdisciplinary domains to address pressing societal, industrial, and environmental challenges. By aligning its initiatives with the United Nations Sustainable Development Goals (SDGs), the Centre seeks to develop solutions that promote sustainability, inclusivity, and equitable growth, while empowering students, researchers, and professionals with the knowledge, skills, and mindset needed to lead in the AI- driven future.

  • Environment for advance theoretical and applied research in AI and ML.
  • Develop collaboration between academia, industry.
  • Promote ethical and responsible AI development and research.
  • Motivate the Interdisciplinary research for the development of the Society.
  • Align AI and Machine Learning algorithms with the different SDGs (Sustainable Development Goals) for the better solutions.

Focus Areas

  • Natural Language Processing (NLP)
  • Computer Vision
  • Predictive Analytics
  • AI for Healthcare, Agriculture, Education, and Smart Cities
  • Robotics and Autonomous Systems
  • Human-Cantered AI
  • AI for Smart Cities and Governance
  • AI in Education
  • AI and Sustainability
  • Soft Computing
  • AI and Decision Sciences
  • Digital Diplomacy
  • AI in Defence
  • Wearable Technologies

Contact Us

Dr. Amit Das

Dr. Amit Das

Head - Centre for AI and Machine Learning (CAIML),
The ICFAI University, Dehradun
E-Mail:
ai.centre@iudehradun.edu.in
amitdas@iudehradun.edu.in

Alignment with National AI Strategy (NITI Aayog)

The Centre for AI and Machine Learning (CAIML) at The ICFAI University, Dehradun is closely aligned with the National Strategy for Artificial Intelligence (NITI Aayog), which positions India as the “AI Garage of the World” under the vision of #AIFORALL.

The strategy emphasizes inclusive growth through AI in five priority sectors: Healthcare, Agriculture, Education, Smart Cities & Infrastructure, and Smart Mobility & Transportation.

CAIML advances this vision by integrating cutting-edge research, interdisciplinary projects, and industry collaborations in these focus areas. In line with NITI Aayog’s pillars—Research, Skilling, Adoption, Data, and Ethics—the Centre fosters innovation through academic programs, applied research, and capacity-building initiatives. Moreover, CAIML promotes Responsible AI by embedding fairness, accountability, and transparency across its activities.

Through these efforts, CAIML contributes to India’s goal of leveraging AI not only for economic growth, but also for social inclusion, sustainability, and global leadership in emerging technologies.

National Strategy for Artificial-Intelligence