Publications under IEEE Education Society SBC College of Engineering Adoor

GENERATIVE AI

Generative Artificial Intelligence (GenAI) is a rapidly evolving area of AI that focuses on creating new content such as text, images, audio, video, and software code based on user input. Unlike traditional AI systems, GenAI can generate original outputs by learning patterns from large volumes of data using deep learning models. The introduction of ChatGPT in 2022 brought widespread attention to generative AI and significantly accelerated its adoption. Today, GenAI is transforming various industries by improving productivity, efficiency, and service quality. As this technology continues to advance, it is expected that by 2026, more than 80% of organizations will have adopted generative AI applications or integrated GenAI APIs into their systems.

 

 Author:

Nandana S
Department of Computer Science and Engineering

ENTREPRENEURSHIP AND INNOVATION IN ENGINEERING CURRICULA

Developing entrepreneurial and innovative skills alongside traditional technical expertise is essential in today’s engineering landscape. The most impactful engineers are those who can not only solve problems but also discover new opportunities and lead with a creative mindset. The article outlines key educational strategies to achieve this, including: providing hands-on, project based learning to encourage mastery through repetition and embracing failure as a learning tool; connecting academic work to real-world challenges to foster a broader perspective; and creating a supportive and collaborative learning environment that encourages risk-taking and teamwork. The goal is to produce graduates who are not just competent technicians, but also confident creators and innovators who can shape the world of tomorrow..

 

 Author:

Beno B S
Department of Computer Science and Engineering

Human Centric Digital Future

The rapid spread of digital technologies across society raises questions about whether these systems are designed to genuinely serve people or primarily to maximize efficiency and profit. A human-centric digital future seeks to address this concern by placing human rights and participation at the core of technological design. This article explores how such an approach can reshape digital transformation into a process that empowers users rather than excluding them. By drawing on examples from healthcare and automation, it highlights how user involvement in design not only lowers the risk of errors but also fosters trust and ethical coherence in technology. At the same time, there are drawbacks to the move toward human-centric systems, such as the difficulties of scaling participatory approaches and striking a balance between privacy and personalization. However, rather than being defects in the vision itself, these are problems of practice.The discussion concludes that true digital progress goes beyond technical growth and it rests on innovation that serves human needs and respects fundamental rights.

 

 Author:

Adarsh J
Department of Computer Science and Engineering

Generative AI: Architecture, Applications, and Opportunities in a Human-AI Collaborative Era

Generative Artificial Intelligence (AI) represents a transformative subset of AI technologies capable of creating original content across various domains, including text, image, audio, andcode. This paper explores the underlying architecture of generative AI models, primarily neural networks and deep learning systems such as Generative Adversarial Networks (GANs) and transformer-based models. It examines key real-world applications across industries, evaluates the opportunities it presents for nations like India, and highlights challenges related to ethics, bias, and misuse. Finally, the paper emphasizes the importance of human-AI collaboration for responsible innovation and sustainable development.

 

 Author:

D Devika
Department of Computer Science and Engineering(DS)

THE FRONTIER OF CONNECTIVITY:NAVIGATING THE 6G ERA THROUGH
INNOVATION AND ENTREPRENEURSHIP

In the rapidly evolving landscape of the 21st century, the definition of a competent engineer is undergoing a radical transformation. Developing entrepreneurial and innovative skills along side traditional technical expertise is no longer optional,it is essential. The most impactful engineers of the coming decade will be those who possess the dual capacity to solve complex technical problems and to identify entirely new opportunities for societal advancement. This article examines the intersection of next-generation telecommunications specifically the emergence of 6G architectures and Satellite Non-Terrestrial Networks (NTN) with the “Problem-Finder” philosophy in engineering education. By analyzing the technical hurdles of Terahertz (THz) communication alongside the soft skills required for venture creation, this paper argues for a holistic educational approach. The goal is to produce graduates who are not just competent technicians, but confident creators and innovators capable of shaping the connected world of 2030 and beyond.

 

 Author:

Amith U Pillai
Department of Electronics and Communication Engineering