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Centre of Excellence (CoE) – Computer Vision

Computer Vision Logo

Overview

The Centre of Excellence (CoE) in Computer Vision at Alliance University is a dedicated research and innovation hub focused on advancing the field of computer vision.

This center aims to bridge the gap between theoretical research and practical applications, fostering collaboration between academia and industry. Our mission is to drive innovation, promote knowledge sharing, and develop cutting-edge solutions to real-world problems using computer vision technologies.

Mission

Our mission is to lead the forefront of computer vision, AI, and NLP through innovative research and transformative education. We strive to equip professionals and students with the expertise to pioneer advancements in technology. By fostering strong industry partnerships, we facilitate the practical application of cutting-edge solutions. Our focus is on solving real-world challenges that bridge technology and practical usability. We commit to nurturing a collaborative environment that encourages the exchange of ideas and continuous learning. Through our efforts, we aim to enhance technological capabilities and drive societal progress. Our ultimate goal is to cultivate leaders who are equipped to innovate responsibly and effectively in a rapidly evolving digital landscape.

Vision

Our vision is to establish ourselves as a global beacon of excellence in computer vision, AI, and NLP. We aim to shape the future of technology by pioneering solutions that enhance human interaction with machines. Our focus is on creating intelligent systems that are both innovative and ethical, transforming industries and improving lives. We envision a world were advanced technologies lead to sustainable and inclusive growth. By integrating research, education, and practical applications, we aspire to influence both local and global communities positively. We are committed to developing technologies that are accessible to diverse populations and adaptable to various needs. Through leadership and innovation, we seek to inspire and empower the next generation of technology pioneers.

Objectives

  1. To advance research in computer vision and related fields.
  2. To develop innovative algorithms and applications for real-world problems.
  3. To foster collaboration between academia and industry.
  4. To provide specialized training and education in computer vision.
  5. To promote ethical guidelines and best practices in the use of computer vision technologies.

Focus Areas

  1. Artificial Intelligence and Machine Learning.
  2. Computer Vision.
  3. Natural Language Processing (NLP).
  4. Data Engineering.
  5. Generative AI.
  6. Ethical AI and Responsible AI.

Centre of Excellence Activities

  • Research and Development: Exploring emerging techniques like deep learning and neural networks for real-time image processing
  • Education and Training: Offering workshops, courses, and certification programs in computer vision.
  • Collaborative Initiatives: Partnering with academic institutions and tech companies for research and knowledge sharing.
  • Innovation and Deployment: Supporting startups and developing prototypes for real-world applications.

Members List

  • Dr. K. Ramalakshmi, Professor, Director – CoE - Computer Vision
  • Dr. Virendra Kumar Shrivastava, Professor
  • Dr. Gnanaprakasam Thangavel, Professor
  • Dr. K Sasi Kala Rani, Professor
  • Dr. M. Senbagavalli, Associate Professor
  • Dr. Saswati Debnath, Assistant Professor
  • Dr. Revathi T, Assistant Professor
  • Dr. Tinka Singh, Assistant Professor
  • Dr. Ashvini Alashetty, Assistant Professor
  • Ms. Soumi Dhar, Assistant Professor
  • Ms. Lalli K, Assistant Professor

Collaboration List

Proglin’t Software Solutions: Sponsoring organization.

Events

Computer Vision - MoU1
Computer Vision - MoU2
Computer Vision - MoU3
Computer Vision - MoU4

Signing MoU

Name: Workshop focused on image segmentation, classification, and Generative AI

Date: April 12-13, 2024

Description: Workshop focused on image segmentation, classification, and generative AI, hosted in association with Sahaj Software Solutions Pvt. Ltd. Bengaluru. The event aimed at creating social impact through innovative solutions for societal needs, featuring hands-on learning experiences and expert guidance.

Co-ordinators:

  • Dr. Ramalakshmi K.
  • Dr. Saswati Debnath
  • Proglint's National Hackathon.

Name: Workshop on GenAI Hands-on in Hugging Face AI

Date: March 23, 2024

Key Takeaways: Insights into language modeling, sentiment analysis, language translation, and hands-on experience with GenAI tools and platforms.

Name: Computer Vision Workshop 1.0 – The Design and Deployment of Computer Vision Models

Date: November 24, 2023

Description: Hosted by the Department of Computer Science and Information Technology in collaboration with Sahaj AI Software Solutions Pvt. Ltd. Bangalore. This workshop provided a comprehensive exploration of Computer Vision, Machine Learning, and Deep Learning, featuring hands-on activities and expert insights from industry professionals

Resource Person:

  • Suman Paul Choudhury: Data Science Solution Consultant specializing in machine learning and deep learning.
  • Ms. Preethi Srinivasan: Data Science Solution Consultant specializing in computer vision and multi-modal learning.
  • Ms. Shruti Dhavalikar: Data Science Solution Consultant with expertise in AI, Large Language Models, and Natural Language Processing.
  • MODELATHON-2.0: Computer Vision 2.0 VisionGen – Exploring Computer Vision and Generative AI

Ph.D. Guidance Areas

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