Brief Overview

Where Data Shapes Perception

Our Centre of Excellence (CoE) in Computer Vision brings together research, innovation, and real-world application to advance intelligent technologies. We focus on computer vision, artificial intelligence (AI), and natural language processing (NLP) through a powerful blend of theory, practice, and industry collaboration.

By bridging academic research with practical deployment, we create an environment where ideas move beyond laboratories into impactful solutions. Our work is driven by innovation, knowledge sharing, and the development of intelligent systems that address complex challenges across industries and society.

Driven by Our Vision

We aspire to be a global centre of excellence in computer vision, AI, and NLP, shaping the future of technology through innovation that enhances how humans interact with machines.

Our vision is rooted in building ethical, inclusive, and intelligent systems that improve lives, transform industries, and enable sustainable growth. By integrating research, education, and real-world application, we seek to create technologies that are accessible, adaptable, and socially responsible.

 

Guided by Our Mission

Our mission is to lead the advancement of computer vision, AI, and NLP through innovative research and transformative education. We work to equip students and professionals with the expertise needed to pioneer responsible technological innovation.

By fostering strong industry partnerships, we ensure that research translates into practical solutions. We nurture a collaborative ecosystem that encourages continuous learning, idea exchange, and ethical application — preparing leaders who can innovate effectively in a rapidly evolving digital world.

Objectives

Our Strategic Objectives

Advance research in computer vision and allied domains.

Develop innovative algorithms and applications for real-world challenges.

Foster strong collaboration between academia and industry.

Deliver specialised training and education in computer vision technologies.

Promote ethical standards and best practices in the development and use of intelligent systems.

Focus Areas

Areas of Excellence

  • Artificial Intelligence and Machine Learning
  • Computer Vision
  • Natural Language Processing (NLP)
  • Data Engineering
  • Generative AI
  • Ethical AI and Responsible AI
Leadership

The Minds Behind the Centre

Centre of Excellence Activities
From Exploration to Deployment

Research and Development We explore emerging techniques such as deep learning and neural networks for real-time image processing and intelligent perception systems.

Education and Training We offer workshops, courses, and certification programs designed to build strong foundations and advanced expertise in computer vision and AI.

Collaborative Initiatives We partner with academic institutions and technology companies to enable joint research, knowledge sharing, and innovation.

Innovation and Deployment We support startups, prototype development, and the deployment of computer vision solutions for real-world applications.

PhD Guidance Areas

Our Areas of Doctoral Research

  • Artificial Intelligence and Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Data Engineering
  • Generative AI
  • Ethical AI and Responsible AI
Events and Engagements

Events and Industry Engagement

Workshop on Image Segmentation, Classification, and Generative AI

April 12-13, 2024

Hosted in association with Sahaj Software Solutions Pvt Ltd, Bengaluru, this workshop focused on applying computer vision and generative AI for social impact through hands-on learning and expert guidance.

Co-ordinators

  • Dr Ramalakshmi K
  • Dr Saswati Debnath

March 23, 2024

Key takeaways included language modelling, sentiment analysis, translation, and practical exposure to generative AI platforms.

November 24, 2023

Organised by the Department of Computer Science and Information Technology in collaboration with Sahaj AI Software Solutions Pvt Ltd, Bengaluru, this workshop explored computer vision, machine learning, and deep learning through expert-led sessions and hands-on activities.

Resource Persons

  • Suman Paul Choudhury – Data Science Solution Consultant (ML and DL)
  • Preethi Srinivasan – Data Science Solution Consultant (Computer Vision and Multimodal Learning)
  • Shruti Dhavalikar – Data Science Solution Consultant (AI, LLMs and NLP)

A themed event focused on computer vision and generative AI, encouraging innovation through applied problem-solving.

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