Keynote Speaker

Dr. Leandros Maglaras

The dual role of AI in Cybersecurity

Artificial Intelligence (AI) has reshaped the cybersecurity landscape in recent years, intensifying competition—a trend expected to continue in the coming years. This technological advancement poses significant challenges for security teams, businesses, and internet users. While AI provides powerful tools for defending against threats, it is also being used by malicious actors to enhance their attacks. As a result, we can expect an increase in phenomena such as online fraud, social engineering, account breaches, the spread of misinformation, and other forms of cyber threats. This talk will focus on the use of AI both as an offensive tool against electronic systems and as a defensive tool for businesses.

Dr. Leandros A. Maglaras is a cybersecurity advisor to the General Secretariat of Telecommunications and Post at the Ministry of Digital Governance, and a visiting professor of cybersecurity at universities in the UK and Australia. From September 2017 to November 2019, he served as Director of the National Cybersecurity Authority of Greece. He earned his degree (equivalent to a master’s) in Electrical and Computer Engineering from Aristotle University of Thessaloniki in 1998, a master’s in Industrial Systems Organization and Management from the University of Thessaly in 2004, and a second master’s and a PhD in Electrical and Computer Engineering from the same university in 2008 and 2014, respectively. In 2018, he was awarded a doctoral degree in Intrusion Detection in SCADA Systems from the University of Huddersfield. He is listed among the top 2% of scientists globally, according to Stanford University. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and the author of over 300 scientific publications in journals and conferences.

Ezequiel López Rubio

Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga

THE RISE OF NEURAL RENDERING IN COMPUTER GRAPHICS

The field of computer graphics has traditionally rooted on classic rendering approaches, where a geometric model of a three-dimensional scene is manually crafted by a digital artist. Such models contain millions of polygons, typically triangles. Then, a classic rendering algorithm produces views of the scene. In contrast to this, neural rendering is a new paradigm for computer graphics that intends to spark a revolution in this workflow. A machine learning model is trained from pictures of a scene, corresponding to different positions and orientations. The model learns the geometry of the scene without human interaction. After that, the model can be queried to generate the desired views. In the past few years, intense research has been done on neural rendering. Many approaches are based on deep learning, while others are founded on advanced geometric and physical frameworks. In this presentation, an overview of the state of the art is provided.

C Kishor Kumar Reddy

Stanley College of Engineering & Technology for Women

DEEP LEARNING FOR MEDICAL IMAGE APPLICATIONS

Deep learning has emerged as a transformative force in medical imaging, offering powerful tools for automated diagnosis, segmentation, classification, and enhancement of medical images. This keynote will explore the evolution of deep learning in the healthcare domain, highlighting state-of-the-art architectures such as Convolutional Neural Networks (CNNs), U-Nets, GANs, and Vision Transformers, and their critical roles in radiology, pathology, and biomedical imaging. Real-world case studies involving disease detection, tumor segmentation, and prognosis prediction will be presented to demonstrate clinical relevance. The talk will also discuss current challenges including data scarcity, model interpretability, and ethical considerations, while outlining future directions for research, interdisciplinary collaboration, and deployment in healthcare settings.

Dr.S.Neelakandan

Professor - Research,

Smart Neurocognitive Knowledge and Data Intelligence Research Lab,

R.M.K Engineering College, Chennai, India.

Research Topic : Smart Neurocognitive Knowledge and Data Intelligence Research Lab

Prof. Michael Onyema Edeh

Dean, Faculty of Allied health and Applied Sciences, Coal City University, Nigeria

Cybersecurity in education sector: threats and solutions