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SRM University-AP is a home to diverse group of students coming from different parts of the country and the world, who speak different languages, follow different religions and have different beliefs; the university is a melting pot of cultures and together the varsity weaves a wonderful tapestry. As part of this wonderful diversity, SRM University-AP makes it a point to celebrate festivals and honour the culture of every community and state. The Onam Celebration, Aaravam on campus saw the students join hands to put forth a beautiful spectacle in the form of traditional dances like Thiruvathira Kali and Bharatanatyam and a wonderful amalgamation of Indo-western dance and music performance.

The celebration of Onam, a harvest festival of the southern state of Kerala is made in remembrance of King Mahabali’s reign which was believed to be equivalent to the Ramrajya. King Bali’s reign oversaw no discrimination or ill-treatment of his subjects, people lived in perfect harmony and prosperity. Onam is celebrated in remembrance of this golden era.

The vibrant festivities witnessed the participation of Registrar, Dr R Premkumar, Deans of all schools, Directors, Faculty, Staff, and students of SRM University-AP.

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Dr Ravi Kant Kumar, Assistant Professor at the Department of Computer Science and Engineering at SRM University-AP and his research scholar, Ms Gayathri Dhara have recently made a significant contribution to the field of Graph Neural Networks. The teacher-student duo have offered relevant analysis of visual saliency applications using Graph Neural Networks (GNN) in their book chapter titled “Study and Analysis of Visual Saliency Applications Using Graph Neural Networks” in the book, Concepts and Techniques of Graph Neural Networks. The topic of their study will prove to be a key source of reference for industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

Description and Significance of the Chapter

The chapter covers the practical applications of GNN in the field of visual saliency. Various applications of computer vision problems implemented using graph neural networks (GNNs) have been studied and analysed in this chapter. It also includes the design approach of GNN, the various computational models used in GNN, its challenges and recommendations. The social significance of GNN in visual saliency extends to various domains like Human attention modelling, Advertising and marketing, Visual content understanding, and so on.

Significance of GNNs

Graph Neural Networks (GNNs) have gained significance in the field of visual saliency due to their ability to model complex relationships and dependencies within visual data. Visual saliency refers to the process of predicting the most visually prominent regions or areas in an image or video that attract human attention. It plays a crucial role in various computer vision applications, such as image understanding, object recognition, and scene understanding. GNNs can learn spatial dependencies and feature representations from visual data. There are many methodologies that address the detection of the salient object using GNN. GNNs can handle multi-modal data, combining visual information with other modalities such as textual or semantic features. This integration allows GNNs to leverage additional cues and contextual information to improve visual saliency prediction. So, studying these different salient object detection methods using GNN and knowing the challenges of GNN will help in meeting our research objectives.

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As part of its initiative to whittle the future of education, The Directorate of International Relations and Higher Studies under the aegis of SRM University-AP has organised a Global Principal Conclave that saw the participation of 50+ Educational Leaders from across 15+ countries. Throughout the conclave, the educational leaders were seen exchanging thought-provoking discussions, and innovative teaching approaches in order to foster a global perspective on teaching and learning.

Distinguished guests, including Dr Mukesh Tripathi, Director of AIIMS Mangalgiri, who served as the Chief Guest, and Dr Ramesh Srikonda, Director of Planning and Architecture, Vijayawada, along with Mr Anil Tentu, CEO of AP Innovation Society, Govt. of Andhra Pradesh, as Guests of Honour, joined delegates from around the world to discuss the importance of the event and praised the university’s initiative in hosting the conclave.

The Conclave also witnessed the historic moment where institutes of excellence like AIIMS, Mangalagiri and SRM University-AP signed an MoU. This new collaboration between the two institutions will prove to be a noteworthy milestone in advancing medical research, education and healthcare in the region. “Although we have been working together, this MoU will further enhance the inter-disciplinary collaboration among the institutions,” said Mr Mukesh Tripathi in his address. In his speech to the delegates, Prof. Manoj K Arora said, “Our objective is to be globally connected, nationally relevant and regionally transformative.”

The conclave also saw multiple panels that deliberated on issues such as holistic development, assessment systems and how they impact the education system, intercultural system of learning and harmony in the realm of education. The panellists who spoke on holistic approaches to measuring educational excellence collectively agreed on the scarcity of teachers who join the profession as a choice. The session also deliberated on the system of assessments in education where, Mr C A Govindrao Naik, CEO & Managing Director, JSS Private School, Dubai opined that “not everything important is measurable and also not everything that is measured is important.”

The Global Conclave ended with a cultural performance by students of SRM University-AP with closing remarks by Dr Swetha Pasupuleti, Director of International Relations and Higher Studies SRM University-AP.