Overview

Where Computer Vision Meets Real-World Innovation

Our Centre of Excellence (CoE) in Computer Vision is a dedicated research and innovation hub focused on advancing computer vision, artificial intelligence, and intelligent systems. The Centre bridges theoretical research with real-world deployment, enabling collaboration between academia, industry, and global partners.

Through interdisciplinary research, applied experimentation, and industry engagement, the Centre develops scalable, ethical, and high-impact AI solutions that address complex technological and societal challenges.

Driven by Our Vision

We aim to lead the forefront of computer vision, AI, and NLP through innovative research and transformative education. Our goal is to equip professionals and students with the expertise required to pioneer technological advancements. By fostering strong industry partnerships, we enable the practical application of cutting-edge solutions to real-world challenges.

We are committed to nurturing a collaborative environment that encourages the exchange of ideas, continuous learning, and responsible innovation. Through these efforts, we seek to enhance technological capabilities, contribute to societal progress, and cultivate leaders who can innovate effectively in a rapidly evolving digital landscape.

Guided by Our Mission

We strive to establish ourselves as a global centre of excellence in computer vision, AI, and NLP. Our mission is to shape the future of technology by developing solutions that enhance human–machine interaction while remaining innovative, ethical, and impactful.

We envision a world where advanced technologies enable sustainable and inclusive growth. By integrating research, education, and practical application, we aim to create meaningful influence across local and global communities. We remain dedicated to developing technologies that are accessible, adaptable, and capable of addressing diverse societal needs, while inspiring the next generation of technology pioneers through leadership and innovation.

Objectives

Our Strategic Objectives

Advance interdisciplinary research in computer vision and intelligent systems.

Develop innovative algorithms and AI applications for real-world problems.

Foster strong collaboration between academia and industry.

Provide specialised training in emerging AI and vision technologies.

Promote ethical frameworks and responsible AI practices.

MAJOR PROJECTS

Areas of Impact

  • Artificial Intelligence and Machine Learning
  • Computer Vision and Image Understanding
  • Natural Language Processing (NLP)
  • Data Engineering and Scalable Systems
  • Generative AI and Multimodal Intelligence
  • Ethical and Responsible AI
Centre of Excellence Activities
From Research to Deployment

Our Centre advances innovation through a balanced ecosystem of research, training, and collaboration.

Research and Development Exploring deep learning, neural networks, and real-time vision systems.

Education and Training Delivering workshops, certifications, and applied AI programs.

Collaborative Initiatives Partnering with academic institutions and technology organisations.

Innovation and Deployment Supporting startups and developing scalable, real-world applications.

Team Members

The Minds Behind the Centre ​

Dr Ramalakshmi K

Professor and Director, CoE-Computer Vision

Dr. Virendra Kumar

Professor

Alliance School of Advanced Computing

Dr. Senbagavalli

Associate Professor

Alliance School of Advanced Computing

Dr. Saswati Debnath

Associate Professor

Alliance School of Advanced Computing

Dr. Gnanaprakasam Thangavel

Prof. Radha R

Assistant Professor

Alliance School of Advanced Computing

Prof. Lali K

Assistant Professor

Alliance School of Advanced Computing

Dr. Sasikala Rani

Professor

Alliance School of Advanced Computing

Infrastructure and Facilities

Advanced AI Infrastructure for Scalable Innovation

Our Centre is equipped with high-performance computing infrastructure and specialised AI research environments that support experimentation, model training, and real-time deployment of intelligent systems. These facilities enable researchers, faculty, and students to design, test, and deploy advanced AI solutions aligned with real-world applications and industry needs.

Hardware and Computing Infrastructure

NVIDIA systems with GPU acceleration for deep learning model training and real-time AI applications

  • Deep learning frameworks such as PyTorch and TensorFlow
  • Computer vision libraries including OpenCV and YOLO-based pipelines
  • NLP toolkits supporting large language model (LLM) research
  • Medical image processing and biometric analysis libraries
  • Dedicated Computer Vision and AI Research Lab
  • Industry-collaborative AI development environment with Proglint Software Solutions (HOI Detection Systems)
  • Joint research initiatives with IIT Guwahati
  • Ongoing collaboration with Neurosynaptic Communications
Industry and Global Collaborations

Collaborating With Industry and Government Leaders

We collaborate with leading industry and academic institutions to strengthen applied research and global exposure. This collaborative ecosystem supports joint research, internships, technology transfer, and global academic engagement.

  • Proglint Software Solutions (Industry Sponsor)
  • Research Center on AI and Sustainable Development, National Chung Cheng University (Taiwan)
  • Neurosynaptic Communications Pvt Ltd (Ongoing Industry Collaboration)
Internships and Live Projects

Experiential Learning in Action

Our structured internship programs such as IIP 1.0 and IIP 2.0 provide immersive exposure to computer vision, machine learning, and deep learning. Students actively contribute to projects that strengthen technical competence while addressing meaningful healthcare and societal challenges.

 

  • MIS Enhancement and Disease Analytics (Consultancy Project – Ongoing)
    Students: Sibi Subhash, Fathima Rena, and Aditya M S
  • Local-Language LLMs for Automated Prescription Translation into Regional Languages (Marathi, Kannada, Hindi, and others) (Consultancy Project – Ongoing)
    Students: Musthakheem Patan, and Pulagampalli Sai Mahima
  • Multimodal Navigation System for Laparoscopic Surgery (Seed Grant Project – Ongoing)
    Students: Venkat Narayanan Manjunath, Sreesuwin Sellamuthu Ravi, Musthakheem Patan Pulagampalli Sai Mahima, and Diddekunte Jagan Mohan Reddy
  • Breast Cancer Detection and Deployment (Completed Project)
    Student: Musthakheem Patan

 

Events and Knowledge Platforms

Forums for Innovation and Dialogue

Recent Events

1. Computer Vision Workshop 1.0 – The Design and Deployment of Computer Vision Models

Date: 24 November 2023

Hosted by the Department of Computer Science and Information Technology in collaboration with Sahaj AI Software Solutions Pvt Ltd, Bengaluru, this workshop offered a comprehensive exploration of computer vision, machine learning, and deep learning through hands-on sessions and industry-led insights.

Resource Persons:

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

Date: 12–13 April 2024

Conducted in association with Sahaj Software Solutions Pvt Ltd, Bengaluru, this workshop focused on image segmentation, classification, and generative AI applications. The event emphasised developing innovative solutions for societal needs through guided, hands-on learning.

Coordinators: Dr Ramalakshmi K and Dr Saswati Debnath

Title: Empowering Vision and Voice Through Generative AI and LLM
Date: 5–9 May 2025

Organised by the Centre of Excellence – Computer Vision, Department of Computer Science and Engineering, in collaboration with Oracle India Pvt Ltd and Proglint Software Solutions.

Key Topics Included:

  • Introduction to Human–Machine Interaction
  • Speech Recognition and Synthesis
  • Data Preprocessing and Scaling using ETL Tools
  • Image Visualisation Techniques
  • Medical Imaging in Healthcare Systems
  • Information Retrieval Methods

Outcomes:

Participants gained insights into deploying large-scale AI applications on Oracle Cloud and strengthened their ability to address engineering challenges in domains such as medical diagnosis, conversational AI, and data-driven analysis across digital platforms.

Date: 11 April 2025

Conducted in association with Sahaj Software Solutions, this workshop explored the intersection of document intelligence, conversational AI, and multimodal understanding.

Prof Pao Visit and MoU Signing – National Chung Cheng University (CCU), Taiwan

The visit of Prof Pao from Taiwan was organised to strengthen institutional linkages and deepen academic collaboration. Discussions focused on internship frameworks with CCU Taiwan, research coordination, funding utilisation, and joint training initiatives for students and faculty.

A Memorandum of Understanding (MoU) was signed with the Research Center on AI and Sustainable Development, National Chung Cheng University (CCU), Taiwan. The partnership aims to foster joint research, faculty and student exchanges, collaborative publications, workshops, seminars, and skill development activities — enhancing global exposure and strengthening the University’s research ecosystem.

Upcoming Conferences

1. Alliance International Conference on Advancements and Societal Impact of AI (Alliance ASIA-2K24)

Dates: 23–24 January 2025

Venue: Alliance University

Focus Areas:

  • Natural Language Processing
  • Ethical AI
  • Responsible AI
  • Generative AI

The conference will feature keynote sessions, parallel technical tracks, and opportunities for academic and industry networking.

Date: 14–15 November 2025

CoE-CV members conducted field observations at Primary Health Centres in Banda, Nirwada, and Sawantwadi–Sangeli as part of a telemedicine project demonstration. The initiative showcased an impactful healthcare delivery model for rural and underserved communities, featuring an integrated digital workflow combining diagnostic devices, teleconsultation modules, and medicine-dispensing systems.

The visit highlighted strong operational execution, consistent data practices, and high community acceptance, demonstrating the model’s scalability and cost-effectiveness in enabling last-mile healthcare delivery.

Insights gained revealed significant opportunities for AI-driven enhancements in efficiency, accessibility, and patient care. The collaboration between Neurosynaptic Communications Pvt Ltd and CoE-CV is expected to lead to scalable solutions aligned with national digital healthcare goals.

Publications and Patents

Scientific Inquiry, Documented and Patented

Our Centre has produced peer-reviewed publications across IEEE, Springer, and Scopus-indexed platforms, including conference proceedings and journal articles. These contributions reflect sustained research output in computer vision, multimodal AI, generative systems, and applied machine intelligence.

SL No Type Link Conference Publications
1 Conferences View Paper IEEE
2 Conferences View Paper IEEE
3 Conferences View Paper Scopus
4 Conferences View Paper Scopus
5 Conferences View Paper IEEE
6 Conferences View Paper Springer
7 Conferences View Paper Scopus
8 Conferences View Paper Scopus
9 Journals View Paper Q1
10 Journals View Paper Q2
Total Publications 10
SL No Publication Details Number of publication
1 Conferences 8
2 Journals 2
Total Publications 10
Research Internships

Our Global Research Exposure

The Centre actively facilitates international research opportunities that enable students to engage with global academic ecosystems and advanced AI research environments.

Two students were selected for research internships with scholarship support at the Research Center on AI and Sustainable Development, National Chung Cheng University (CCU), Taiwan:

  • Musthakheem Patan
  • Likhith S

This engagement provided valuable exposure to international research practices, collaborative innovation, and emerging applications of AI for sustainable development.

Hackathons and Competitions

Encouraging Innovation Through Technical Challenges

Our students participate in national-level hackathons and technical competitions that promote hands-on learning, problem-solving, and exposure to cutting-edge AI tools.

Proglint National Hackathon


Date: 23 March 2024

Theme: GenAI Hands-on Using Hugging Face AI

Key Learning Outcomes:

  • Practical understanding of language modelling techniques
  • Applications in sentiment analysis and language translation
  • Hands-on experience with Generative AI tools and deployment workflows
  • Exposure to collaborative innovation and rapid prototyping environments
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